Ricardo Henao

Biostatistics & Bioinformatics, Division of Translational Biomedical

Associate Professor of Biostatistics & Bioinformatics

Ricardo Henao Profile Photo

Education

Ph.D. Technical University of Denmark (Denmark), 2011

Positions

Associate Professor of Biostatistics & Bioinformatics
Associate Professor in Surgery
Associate Professor in the Department of Electrical and Computer Engineering
Member in the Duke Clinical Research Institute
Member of Duke Center for Applied Genomics and Precision Medicine

Courses Taught

EGR 393: Research Projects in Engineering
ECE 891: Internship
ECE 590: Advanced Topics in Electrical and Computer Engineering
ECE 391: Projects in Electrical and Computer Engineering

Publications

Quist-Nelson J, Meng M-L, Rich-Edwards J, Fuller M, Hong C, Pencina M, et al. Adverse pregnancy outcomes and development of short-term cardiovascular disease risk factors. Am J Obstet Gynecol MFM. 2025 Dec 3;8(2):101869.
Chen J, Schmidt F, Henao R. Assessing Scale and Predictive Diversity in Models for Single-Cell Transcriptomics based on Geneformer. Cold Spring Harbor Laboratory. 2025.
Artman CM, Henao R. A robust and data-efficient deep learning model for cardiac assessment without segmentation. BMC Med Imaging. 2025 Oct 22;25(1):423.
Kraft BD, Valente AM, Tsalik EL, McClain MT, Nichols M, Burke TW, et al. Molecular dynamics of the host response to Streptococcus pneumoniae pneumonia in baboons. Animal Model Exp Med. 2025 Oct;8(10):1896u2013907.
Mallya P, Henao R, Hong C, Wojdyla D, Schibler T, Manchanda V, et al. Automated Data Harmonization in Clinical Research: Natural Language Processing Approach. JMIR Form Res. 2025 Aug 27;9:e75608.
Rich-Edwards JW, Rexrode KM, Liu T, Hong C, Quist-Nelson J, Meng M-L, et al. Letter by Rich-Edwards et al Regarding Article, "Assessing the Accuracy of Cardiovascular Disease Prediction Using Female-Specific Risk Factors in Women Aged 45 to 69 Years in the UK Biobank Study". Circ Cardiovasc Qual Outcomes. 2025 Jul;18(7):e011970.
Zaribafzadeh H, Henson JB, Chan NW, Rogers U, Webster W, Schappe T, et al. Development of a natural language processing algorithm to extract social determinants of health from clinician notes. Am J Transplant. 2025 Jun;25(6):1306u201318.
Engelhard M, Wojdyla D, Wang H, Pencina M, Henao R. Exploring trade-offs in equitable stroke risk prediction with parity-constrained and race-free models. Artif Intell Med. 2025 Jun;164:103130.
Vemulapalli S, Alenezi F, Jeong H, Giczewska A, Chiswell K, Douglas P, et al. Machine Learning Computer Vision Point of Care Decision Support of Echocardiographic Identification of Hypertrophic Cardiomyopathy. In: JACC Adv. 2025. p. 101746.
Mallya P, Henao R, Hong C, Wojdyla D, Schibler T, Manchanda V, et al. Automated Data Harmonization in Clinical Research: Natural Language Processing Approach (Preprint). JMIR Publications Inc. 2025.
Henao R, Pencina M. Toward Improving Risk Prediction through Clustering Analysis. Eur J Prev Cardiol. 2025 Mar 20;
Hurst JH, Mohan AA, Dalapati T, George IA, Aquino JN, Lugo DJ, et al. Age-associated differences in mucosal and systemic host responses to SARS-CoV-2 infection. Nat Commun. 2025 Mar 10;16(1):2383.
Chu Y, Luo G, Zhou L, Cao S, Ma G, Meng X, et al. Deep learning-driven pulmonary artery and vein segmentation reveals demography-associated vasculature anatomical differences. Nat Commun. 2025 Mar 6;16(1):2262.
Iglesias-Ussel MD, Ou2019Grady N, Anderson J, Mitsis PG, Burke TW, Henao R, et al. A Rapid Host Response Blood Test for Bacterial/Viral Infection Discrimination Using a Portable Molecular Diagnostic Platform. Open Forum Infect Dis. 2025 Jan;12(1):ofae729.
Wang D, Yang Y, Chen L, Gan Z, Henao R, Carin L. Proactive Pseudo-Intervention: Pre-informed Contrastive Learning For Interpretable Vision Models. Proceedings of Machine Learning Research. 2025 Jan 1;281:20u201334.
Wang S, Choi Y, Chen J, El-Khamy M, Henao R. Toward Sustainable Continual Learning: Detection and Knowledge Repurposing for Reoccurring Tasks. In: IEEE International Workshop on Machine Learning for Signal Processing Mlsp. 2025.
Wang S, Henao R. Model Recycling Framework for Multi-Source Data-Free Supervised Transfer Learning. In: IEEE International Workshop on Machine Learning for Signal Processing Mlsp. 2025.
Ashhad M, Henao R. Generating Accurate Synthetic Survival Data by Conditioning on Outcomes. In: Proceedings of Machine Learning Research. 2025.
Wang AT, Convertino W, Cheng X, Henao R, Carin L. On Understanding Attention-Based In-Context Learning for Categorical Data. In: Proceedings of Machine Learning Research. 2025. p. 62701u201328.
Sheng D, Henao R. Learning Survival Distributions with the Asymmetric Laplace Distribution. In: Proceedings of Machine Learning Research. 2025. p. 54772u2013809.
Guo X, Henao R. Cross-Modal Imputation and Uncertainty Estimation for Spatial Transcriptomics. In: Proceedings of Machine Learning Research. 2025. p. 4375u201383.
Wong A-KI, Wischmeyer PE, Lee H, Gorenshtein L, Sytsma T, Hao S, et al. Enteral and Parenteral Nutrition Timing in eICU Collaborative Research Database by Race: A Retrospective Observational Study. J Surg Res. 2024 Dec;304:181u20139.
Huang WA, Engelhard M, Coffman M, Hill ED, Weng Q, Scheer A, et al. A conditional multi-label model to improve prediction of a rare outcome: An illustration predicting autism diagnosis. J Biomed Inform. 2024 Sep;157:104711.
McCravy M, Ou2019Grady N, Khan K, Betancourt-Quiroz M, Zaas AK, Treece AE, et al. Predictive signature of murine and human host response to typical and atypical pneumonia. BMJ Open Respir Res. 2024 Aug 3;11(1).
Richardson A, Kundu A, Henao R, Lee T, Scott BL, Grewal DS, et al. Multimodal Retinal Imaging Classification for Parkinson's Disease Using a Convolutional Neural Network. Transl Vis Sci Technol. 2024 Aug 1;13(8):23.
Smith ID, Solomon MJ, Mulder H, Sims C, Coles TM, Overton R, et al. Evaluating Factors Associated With Telehealth Appropriateness in Outpatient Rheumatoid Arthritis Encounters Using the Encounter Appropriateness Score for You (EASY). J Rheumatol. 2024 Aug 1;51(8):759u201364.
Goldstein BA, Xu C, Wilson J, Henao R, Ephraim PL, Weiner DE, et al. Designing an Implementable Clinical Prediction Model for Near-Term Mortality and Long-Term Survival in Patients on Maintenance Hemodialysis. Am J Kidney Dis. 2024 Jul;84(1):73u201382.
Jeong HK, Park C, Jiang SW, Nicholas M, Chen S, Henao R, et al. Image Quality Assessment Using Convolutional Neural Network in Clinical Skin Images. JID Innov. 2024 Jul;4(4):100285.
Xia M, Wilson J, Goldstein B, Henao R. Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources. Proc Mach Learn Res. 2024 Jul;235:54156u201377.
Wang AT, Convertino W, Cheng X, Henao R, Carin L. On Understanding Attention-Based In-Context Learning for Categoricaln Data. 2024.
Ashhad M, Henao R. Conditioning on Time is All You Need for Synthetic Survival Datan Generation. 2024.
Hickey J, Henao R, Wojdyla D, Pencina M, Engelhard M. Adaptive Discretization for Event PredicTion (ADEPT). Proc Mach Learn Res. 2024 May;238:1351u20139.
Zhang H, Cong Y, Wang Z, Zhang L, Zhao M, Chen L, et al. Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2. IEEE Trans Neural Netw Learn Syst. 2024 May;35(5):6558u201369.
Chu Y, Luo G, Zhou L, Cao S, Ma G, Meng X, et al. Deep learning-driven pulmonary artery and vein segmentation revealsn demography-associated vasculature anatomical differences. 2024.
Assaad S, Dov D, Park C, Davis R, Kovalsky SZ, Lee WT, et al. A Preliminary Study Comparing the Performance of Thyroid Molecular Tests to a Deep Learning Algorithm in Predicting Malignancy in Indeterminate Thyroid Fine Needle Aspiration Biopsies. Thyroid. 2024 Apr;34(4):531u20135.
Van Neste L, Henao R, Wojno KJ, Signes J, DeHart J, Busta A, et al. Development and Optimization of a Subtraction-Normalized Immunocyte Profiling Signature for Prostate Cancer Active Surveillance Risk Stratification. J Urol. 2024 Mar;211(3):415u201325.
Howe C, Smith ID, Coles TM, Overton R, Economou-Zavlanos N, Solomon MJ, et al. Evaluating Provider Perceptions of Telehealth Utility in Outpatient Rheumatology Telehealth Encounters. J Clin Rheumatol. 2024 Mar 1;30(2):46u201351.
Economou-Zavlanos NJ, Bessias S, Cary MP, Bedoya AD, Goldstein BA, Jelovsek JE, et al. Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare. J Am Med Inform Assoc. 2024 Feb 16;31(3):705u201313.
McClain MT, Zhbannikov I, Satterwhite LL, Henao R, Giroux NS, Ding S, et al. Epigenetic and transcriptional responses in circulating leukocytes are associated with future decompensation during SARS-CoV-2 infection. iScience. 2024 Jan 19;27(1):108288.
Solomon M, Henao R, Economau-Zavlanos N, Smith I, Adagarla B, Overton AJ, et al. Encounter Appropriateness Score for You Model: Development and Pilot Implementation of a Predictive Model to Identify Visits Appropriate for Telehealth in Rheumatology. Arthritis Care Res (Hoboken). 2024 Jan;76(1):63u201371.
Suzuki A, Henao R, Reed MC, Nijhout HF, Tripathi M, Singh BK, et al. Lower hepatic CBS and PEMT expression in advanced NAFLD: inferencing strategies to lower homocysteine with a mathematical model. Metabolism and Target Organ Damage. 2024 Jan 1;4(3).
Wisely CE, Richardson A, Henao R, Robbins CB, Ma JP, Wang D, et al. A Convolutional Neural Network Using Multimodal Retinal Imaging for Differentiation of Mild Cognitive Impairment from Normal Cognition. Ophthalmol Sci. 2024;4(1):100355.
Wang R, Yu T, Zhang R, Kim S, Rossi R, Zhao H, et al. Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. In: Findings of the Association for Computational Linguistics Naacl 2024 Findings. 2024. p. 4597u2013612.
Hong C, Liu M, Wojdyla DM, Hickey J, Pencina M, Henao R. Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance. J Biomed Inform. 2024 Jan;149:104532.
Steinbrink JM, Liu Y, Henao R, Tsalik EL, Ginsburg GS, Ramsburg E, et al. Pathogen class-specific transcriptional responses derived from PBMCs accurately discriminate between fungal, bacterial, and viral infections. PLoS One. 2024;19(12):e0311007.
Gao M, Pejavara K, Balu S, Henao R. Development of a Flexible Chain of Thought Framework for Automated Routing of Patient Portal Messages. AMIA Annu Symp Proc. 2024;2024:443u201352.
Ko ER, Reller ME, Tillekeratne LG, Bodinayake CK, Miller C, Burke TW, et al. Host-response transcriptional biomarkers accurately discriminate bacterial and viral infections of global relevance. Sci Rep. 2023 Dec 18;13(1):22554.
Zaribafzadeh H, Webster WL, Vail CJ, Daigle T, Kirk AD, Allen PJ, et al. Development, Deployment, and Implementation of a Machine Learning Surgical Case Length Prediction Model and Prospective Evaluation. Ann Surg. 2023 Dec 1;278(6):890u20135.
Steinbrink JM, Liu Y, Henao R, Tsalik EL, Ginsburg GS, Ramsburg E, et al. 305. PBMC-Derived Transcriptomic Signatures Accurately Discriminate Between Viral, Bacterial, and Fungal Infections and can be Translated to Real-World Human Infections. Open Forum Infectious Diseases. 2023 Nov 27;10(Supplement_2).
Dow ER, Jeong HK, Katz EA, Toth CA, Wang D, Lee T, et al. A Deep-Learning Algorithm to Predict Short-Term Progression to Geographic Atrophy on Spectral-Domain Optical Coherence Tomography. JAMA Ophthalmol. 2023 Nov 1;141(11):1052u201361.
Mallya P, Stevens LM, Zhao J, Hong C, Henao R, Economou-Zavlanos N, et al. Facilitating Harmonization of Variables in Framingham, MESA, ARIC, and REGARDS Studies Through a Metadata Repository. Circ Cardiovasc Qual Outcomes. 2023 Nov;16(11):e009938.
Dov D, Elliott Range D, Cohen J, Bell J, Rocke DJ, Kahmke RR, et al. Deep-Learning-Based Screening and Ancillary Testing for Thyroid Cytopathology. Am J Pathol. 2023 Sep;193(9):1185u201394.
Pavon JM, Previll L, Woo M, Henao R, Solomon M, Rogers U, et al. Machine learning functional impairment classification with electronic health record data. J Am Geriatr Soc. 2023 Sep;71(9):2822u201333.
Hurst JH, Mohan AA, Dalapati T, George IA, Aquino JN, Lugo DJ, et al. Differential host responses within the upper respiratory tract and peripheral blood of children and adults with SARS-CoV-2 infection. 2023.
Kong F, Li Y, Nassif H, Fiez T, Henao R, Chakrabarti S. Neural Insights for Digital Marketing Content Design. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2023. p. 4320u201332.
Zhang H, Wang C, Wang Z, Duan Z, Chen B, Zhou M, et al. Learning Hierarchical Document Graphs From Multilevel Sentence Relations. IEEE Trans Neural Netw Learn Syst. 2023 Aug;34(8):4273u201385.
Chen J, Engelhard M, Henao R, Berchuck S, Eichner B, Perrin EM, et al. Enhancing early autism prediction based on electronic records using clinical narratives. J Biomed Inform. 2023 Aug;144:104390.
Wegermann K, Fudim M, Henao R, Howe CF, McGarrah R, Guy C, et al. Serum Metabolites Are Associated With HFpEF in Biopsy-Proven Nonalcoholic Fatty Liver Disease. J Am Heart Assoc. 2023 Jul 18;12(14):e029873.
Tran BV, Moris D, Markovic D, Zaribafzadeh H, Henao R, Lai Q, et al. Development and validation of a REcurrent Liver cAncer Prediction ScorE (RELAPSE) following liver transplantation in patients with hepatocellular carcinoma: Analysis of the US Multicenter HCC Transplant Consortium. Liver Transpl. 2023 Jul 1;29(7):683u201397.
Wu J, Wang R, Zhao H, Zhang R, Lu C, Li S, et al. Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. Proceedings of the 37th Aaai Conference on Artificial Intelligence Aaai 2023. 2023 Jun 27;37:4729u201337.
Wu J, Yu T, Wang R, Song Z, Zhang R, Zhao H, et al. InfoPrompt: Information-Theoretic Soft Prompt Tuning for Naturaln Language Understanding. 2023.
Assaad S, Dov D, Davis R, Kovalsky S, Lee WT, Kahmke R, et al. Thyroid Cytopathology Cancer Diagnosis from Smartphone Images Using Machine Learning. Mod Pathol. 2023 Jun;36(6):100129.
Qi S-A, Kumar N, Farrokh M, Sun W, Kuan L-H, Ranganath R, et al. An Effective Meaningful Way to Evaluate Survival Models. 2023.
Lee T, Rivera A, Brune M, Kundu A, Haystead A, Winslow L, et al. Convolutional Neural Network-Based Automated Quality Assessment of OCT and OCT Angiography Image Maps in Individuals With Neurodegenerative Disease. Transl Vis Sci Technol. 2023 Jun 1;12(6):30.
Kong F, Yuan S, Hao W, Henao R. Mitigating Test-Time Bias for Fair Image Retrieval. 2023.
Giroux NS, Ding S, McClain MT, Burke TW, Petzold E, Chung HA, et al. Author Correction: Differential chromatin accessibility in peripheral blood mononuclear cells underlies COVID-19 disease severity prior to seroconversion. Sci Rep. 2023 Apr 20;13(1):6462.
Chapfuwa P, Tao C, Li C, Khan I, Chandross KJ, Pencina MJ, et al. Calibration and Uncertainty in Neural Time-to-Event Modeling. IEEE Trans Neural Netw Learn Syst. 2023 Apr;34(4):1666u201380.
Bai K, Wang G, Li J, Park S, Lee S, Xu P, et al. Open World Classification with Adaptive Negative Samples. 2023.
Zhang Z, Sauerwald N, Cappuccio A, Ramos I, Nair VD, Nudelman G, et al. Blood RNA alternative splicing events as diagnostic biomarkers for infectious disease. Cell Rep Methods. 2023 Feb 27;3(2):100395.
Wang R, Cheng P, Henao R. Toward Fairness in Text Generation via Mutual Information Minimizationn based on Importance Sampling. 2023.
Kong F, Li Y, Nassif H, Fiez T, Henao R, Chakrabarti S. Neural Insights for Digital Marketing Content Design. 2023.
Engelhard MM, Henao R, Berchuck SI, Chen J, Eichner B, Herkert D, et al. Predictive Value of Early Autism Detection Models Based on Electronic Health Record Data Collected Before Age 1 Year. JAMA Netw Open. 2023 Feb 1;6(2):e2254303.
Hong C, Pencina MJ, Wojdyla DM, Hall JL, Judd SE, Cary M, et al. Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups. JAMA. 2023 Jan 24;329(4):306u201317.
Verma VK, Mehta N, Si S, Henao R, Carin L. Pushing the Efficiency Limit Using Structured Sparse Convolutions. In: Proceedings 2023 IEEE Winter Conference on Applications of Computer Vision Wacv 2023. 2023. p. 6492u2013502.
Kong F, Yuan S, Hao W, Henao R. Mitigating Test-Time Bias for Fair Image Retrieval. In: Advances in Neural Information Processing Systems. 2023.
Mariottoni EB, Datta S, Shigueoka LS, Jammal AA, Tavares IM, Henao R, et al. Deep Learning-Assisted Detection of Glaucoma Progression in Spectral-Domain OCT. Ophthalmol Glaucoma. 2023;6(3):228u201338.
Wu J, Yu T, Wang R, Song Z, Zhang R, Zhao H, et al. InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. In: Advances in Neural Information Processing Systems. 2023.
Xia M, Henao R. Reliable Active Learning via Influence Functions. Transactions on Machine Learning Research. 2023 Jan 1;2023.
Bai K, Cheng P, Hao W, Henao R, Carin L. Estimating Total Correlation with Mutual Information Estimators. In: Proceedings of Machine Learning Research. 2023. p. 2147u201364.
Qi SA, Kumar N, Farrokh M, Sun W, Kuan LH, Ranganath R, et al. An Effective Meaningful Way to Evaluate Survival Models. In: Proceedings of Machine Learning Research. 2023. p. 28244u201376.
Wang R, Cheng P, Henao R. Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling. In: Proceedings of Machine Learning Research. 2023. p. 4473u201385.
Jeong HK, Park C, Henao R, Kheterpal M. Deep Learning in Dermatology: A Systematic Review of Current Approaches, Outcomes, and Limitations. JID Innov. 2023 Jan;3(1):100150.
Isik Y, Chapfuwa P, Davis C, Henao R. Hawkes Process with Flexible Triggering Kernels. In: Proceedings of Machine Learning Research. 2023. p. 308u201320.
Quist-Nelson J, Meng ML, Stuart JJ, Fuller M, Rogers U, Pencina M, et al. Adverse pregnancy outcomes and the development of short-term maternal cardiovascular disease risk factors. In: AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY. 2023. p. S497u2013S497.
Chen T, Dalton G, Oh S-H, Maeso-Diaz R, Du K, Meyers RA, et al. Hepatocyte Smoothened Activity Controls Susceptibility to Insulin Resistance and Nonalcoholic Fatty Liver Disease. In: Cell Mol Gastroenterol Hepatol. 2023. p. 949u201370.
Wang R, Yu T, Wu J, Zhao H, Kim S, Zhang R, et al. Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. In: Proceedings of the Annual Meeting of the Association for Computational Linguistics. 2023. p. 7449u201363.
Cappuccio A, Chawla DG, Chen X, Rubenstein AB, Cheng WS, Mao W, et al. Multi-objective optimization identifies a specific and interpretable COVID-19 host response signature. Cell Syst. 2022 Dec 21;13(12):989-1001.e8.
Fiorino C, Liu Y, Henao R, Ko ER, Burke TW, Ginsburg GS, et al. Host Gene Expression to Predict Sepsis Progression. Crit Care Med. 2022 Dec 1;50(12):1748u201356.
Moris D, Henao R, Hensman H, Stempora L, Chasse S, Schobel S, et al. Multidimensional machine learning models predicting outcomes after trauma. Surgery. 2022 Dec;172(6):1851u20139.
Verma VK, Mehta N, Si S, Henao R, Carin L. Pushing the Efficiency Limit Using Structured Sparse Convolutions. 2022.
Wang S, Choi Y, Chen J, El-Khamy M, Henao R. Toward Sustainable Continual Learning: Detection and Knowledgen Repurposing of Similar Tasks. 2022.
Smith ID, Coles TM, Howe C, Overton R, Economou-Zavlanos N, Solomon MJ, et al. Telehealth Made EASY: Understanding Provider Perceptions of Telehealth Appropriateness in Outpatient Rheumatology Encounters. ACR Open Rheumatol. 2022 Oct;4(10):845u201352.
Xia M, Kheterpal MK, Wong SC, Park C, Ratliff W, Carin L, et al. Lesion identification and malignancy prediction from clinical dermatological images. Sci Rep. 2022 Sep 23;12(1):15836.
Bai K, Zhang A, Li Z, Heano R, Wang C, Carin L. Collaborative Anomaly Detection. 2022.
Yang T, Henao R. TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile. PLoS Comput Biol. 2022 Sep;18(9):e1009921.
Richardson A, Robbins CB, Wisely CE, Henao R, Grewal DS, Fekrat S. Artificial intelligence in dementia. Curr Opin Ophthalmol. 2022 Sep 1;33(5):425u201331.
Chapfuwa P, Rose S, Carin L, Meeds E, Henao R. Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations. In: Proc Mach Learn Res. 2022. p. 286u201395.
Giroux NS, Ding S, McClain MT, Burke TW, Petzold E, Chung HA, et al. Differential chromatin accessibility in peripheral blood mononuclear cells underlies COVID-19 disease severity prior to seroconversion. Sci Rep. 2022 Jul 9;12(1):11714.
Dov D, Kovalsky SZ, Feng Q, Assaad S, Cohen J, Bell J, et al. Use of Machine Learning-Based Software for the Screening of Thyroid Cytopathology Whole Slide Images. Arch Pathol Lab Med. 2022 Jul 1;146(7):872u20138.
Eckhoff AM, Connor AA, Thacker JKM, Blazer DG, Moore HG, Scheri RP, et al. A Multidimensional Bioinformatic Platform for the Study of Human Response to Surgery. Ann Surg. 2022 Jun 1;275(6):1094u2013102.
Dov D, Assaad S, Syedibrahim A, Bell J, Huang J, Madden J, et al. A Hybrid Human-Machine Learning Approach for Screening Prostate Biopsies Can Improve Clinical Efficiency Without Compromising Diagnostic Accuracy. Arch Pathol Lab Med. 2022 Jun 1;146(6):727u201334.
Park C, Jeong HK, Henao R, Kheterpal M. Current Landscape of Generative Adversarial Networks for Facial Deidentification in Dermatology: Systematic Review and Evaluation. JMIR Dermatol. 2022 May 27;5(2):e35497.
Xu Z, Zhao C, Scales CD, Henao R, Goldstein BA. Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data. BMC Med Inform Decis Mak. 2022 Apr 24;22(1):110.
Draelos RL, Ezekian JE, Zhuang F, Moya-Mendez ME, Zhang Z, Rosamilia MB, et al. GENESIS: Gene-Specific Machine Learning Models for Variants of Uncertain Significance Found in Catecholaminergic Polymorphic Ventricular Tachycardia and Long QT Syndrome-Associated Genes. Circ Arrhythm Electrophysiol. 2022 Apr;15(4):e010326.
Ko ER, Henao R, Frankey K, Petzold EA, Isner PD, Jaehne AK, et al. Prospective Validation of a Rapid Host Gene Expression Test to Discriminate Bacterial From Viral Respiratory Infection. JAMA Netw Open. 2022 Apr 1;5(4):e227299.
Engelhard M, Henao R. Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data. Proc Mach Learn Res. 2022 Mar;151:9571u201381.
Wisely CE, Wang D, Henao R, Grewal DS, Thompson AC, Robbins CB, et al. Convolutional neural network to identify symptomatic Alzheimer's disease using multimodal retinal imaging. Br J Ophthalmol. 2022 Mar;106(3):388u201395.
Chapfuwa P, Rose S, Carin L, Meeds E, Henao R. Capturing Actionable Dynamics with Structured Latent Ordinaryn Differential Equations. 2022.
Bodkin N, Ross M, McClain MT, Ko ER, Woods CW, Ginsburg GS, et al. Systematic comparison of published host gene expression signatures for bacterial/viral discrimination. Genome Med. 2022 Feb 21;14(1):18.
Isik YA, Davis C, Chapfuwa P, Henao R. Flexible Triggering Kernels for Hawkes Process Modeling. 2022.
Chapfuwa P, Rose S, Carin L, Meeds E, Henao R. Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations. In: Proceedings of Machine Learning Research. 2022. p. 286u201395.
Wu J, Wang R, Yu T, Zhang R, Zhao H, Li S, et al. Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. In: Findings of the Association for Computational Linguistics Emnlp 2022. 2022. p. 3436u201348.
Gao Q, Wang D, Amason JD, Yuan S, Tao C, Henao R, et al. GRADIENT IMPORTANCE LEARNING FOR INCOMPLETE OBSERVATIONS. In: Iclr 2022 10th International Conference on Learning Representations. 2022.
Bai K, Wang G, Li J, Park S, Lee S, Xu P, et al. Open World Classification with Adaptive Negative Samples. In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing Emnlp 2022. 2022. p. 4378u201392.
Wang R, Henao R. WASSERSTEIN CROSS-LINGUAL ALIGNMENT FOR NAMED ENTITY RECOGNITION. In: ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings. 2022. p. 8342u20136.
Wang R, Zhang R, Henao R. Wasserstein Uncertainty Estimation for Adversarial Domain Matching. Front Big Data. 2022;5:878716.
Kong F, Henao R. Efficient Classification of Very Large Images with Tiny Objects. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2022. p. 2374u201384.
Leverenz D, Solomon M, Economau-Zavlanos N, Adagarla BS, Coles T, Smith I, et al. Development and Pilot Implementation of a Predictive Model to Identify Visits Appropriate for Telehealth. In: ARTHRITIS & RHEUMATOLOGY. 2022. p. 2541u20133.
Yang T, Henao R. TAMC: A deep-learning approach to predict motif-centric transcriptional factor binding activity based on ATAC-seq profile. bioRxiv. 2022.
Wong SC, Ratliff W, Xia M, Park C, Sendak M, Balu S, et al. Use of convolutional neural networks in skin lesion analysis using real world image and non-image data. Front Med (Lausanne). 2022;9:946937.
Lad EM, Toth CA, Wang D, Henao R, Carin L. A Deep Learning Algorithm to Predict Short-term Progression to Geographic Atrophy on Spectral Domain-OCT. In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. 2022.
Wang R, Yu T, Zhao H, Kim S, Mitra S, Zhang R, et al. Few-Shot Class-Incremental Learning for Named Entity Recognition. In: Proceedings of the Annual Meeting of the Association for Computational Linguistics. 2022. p. 571u201382.
Jeong HK, Park C, Henao R, Kheterpal M. Privacy Protection With Facial Deidentification Machine Learning Methods: Can Current Methods Be Applied to Dermatology? Iproceedings. 2021 Dec 17;6(1):e35431u2013e35431.
Park C, Jeong HK, Henao R, Kheterpal M. Current Landscape of Generative Adversarial Networks for Facial Deidentification in Dermatology: Systematic Review and Evaluation (Preprint). JMIR Publications Inc. 2021.
Jeong HK, Park C, Henao R, Kheterpal M. Privacy Protection With Facial Deidentification Machine Learning Methods: Can Current Methods Be Applied to Dermatology? (Preprint). 2021 Dec 3;
Pagidipati NJ, Phelan M, Page C, Clowse M, Henao R, Peterson ED, et al. The importance of weight stabilization amongst those with overweight or obesity: Results from a large health care system. Prev Med Rep. 2021 Dec;24:101615.
Chen J, Xiu Z, Goldstein BA, Henao R, Carin L, Tao C. Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer. In: Adv Neural Inf Process Syst. 2021. p. 21229u201343.
Tsalik EL, Henao R, Montgomery JL, Nawrocki JW, Aydin M, Lydon EC, et al. Discriminating Bacterial and Viral Infection Using a Rapid Host Gene Expression Test. Crit Care Med. 2021 Oct 1;49(10):1651u201363.
Van Neste L, Wojno KJ, Henao R, Mane S, Korman H, Hafron J, et al. Evaluation of an RNAseq-Based Immunogenomic Liquid Biopsy Approach in Early-Stage Prostate Cancer. Cells. 2021 Sep 28;10(10).
Markwalter CF, Nyunt MH, Han ZY, Henao R, Jain A, Taghavian O, et al. Antibody signatures of asymptomatic Plasmodium falciparum malaria infections measured from dried blood spots. Malar J. 2021 Sep 23;20(1):378.
Alexopoulos A-S, Crowley MJ, Wang Y, Moylan CA, Guy CD, Henao R, et al. Glycemic Control Predicts Severity of Hepatocyte Ballooning and Hepatic Fibrosis in Nonalcoholic Fatty Liver Disease. Hepatology. 2021 Sep;74(3):1220u201333.
Grzesiak E, Bent B, McClain MT, Woods CW, Tsalik EL, Nicholson BP, et al. Assessment of the Feasibility of Using Noninvasive Wearable Biometric Monitoring Sensors to Detect Influenza and the Common Cold Before Symptom Onset. JAMA Netw Open. 2021 Sep 1;4(9):e2128534.
Meireles OR, Rosman G, Altieri MS, Carin L, Hager G, Madani A, et al. SAGES consensus recommendations on an annotation framework for surgical video. Surg Endosc. 2021 Sep;35(9):4918u201329.
Mahle RE, Suchindran S, Henao R, Steinbrink JM, Burke TW, McClain MT, et al. Validation of a Host Gene Expression Test for Bacterial/Viral Discrimination in Immunocompromised Hosts. Clin Infect Dis. 2021 Aug 16;73(4):605u201313.
She X, Zhai Y, Henao R, Woods CW, Chiu C, Ginsburg GS, et al. Adaptive Multi-Channel Event Segmentation and Feature Extraction for Monitoring Health Outcomes. IEEE Trans Biomed Eng. 2021 Aug;68(8):2377u201388.
Garside N, Zaribafzadeh H, Henao R, Chung R, Buckland D. CPT to RVU conversion improves model performance in the prediction of surgical case length. Sci Rep. 2021 Jul 8;11(1):14169.
Gao Q, Wang D, Amason JD, Yuan S, Tao C, Henao R, et al. Gradient Importance Learning for Incomplete Observations. 2021 Jul 5;
Steinbrink JM, Myers RA, Hua K, Johnson MD, Seidelman JL, Tsalik EL, et al. The host transcriptional response to Candidemia is dominated by neutrophil activation and heme biosynthesis and supports novel diagnostic approaches. Genome Med. 2021 Jul 5;13(1):108.
Kong F, Henao R. Efficient Classification of Very Large Images with Tiny Objects. 2021 Jun 4;
Xiu Z, Tao C, Gao M, Davis C, Goldstein BA, Henao R. Variational Disentanglement for Rare Event Modeling. Proc AAAI Conf Artif Intell. 2021 May 18;35(12):10469u201377.
Wang L, Balmat TJ, Antonia AL, Constantine FJ, Henao R, Burke TW, et al. An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility. Genome Med. 2021 May 17;13(1):83.
Dov D, Assaad S, Si S, Wang R, Xu H, Kovalsky SZ, et al. Affinitention nets: Kernel perspective on attention architectures for set classification with applications to medical text and images. In: ACM Chil 2021 Proceedings of the 2021 ACM Conference on Health Inference and Learning. 2021. p. 14u201324.
Xia M, Kheterpal MK, Wong SC, Park C, Ratliff W, Carin L, et al. Malignancy Prediction and Lesion Identification from Clinicaln Dermatological Images. 2021 Apr 2;
Chapfuwa P, Assaad S, Zeng S, Pencina MJ, Carin L, Henao R. Enabling Counterfactual Survival Analysis with Balanced Representations. In: ACM CHIL 2021 (2021). 2021. p. 133u201345.
Wegermann K, Howe C, Henao R, Wang Y, Guy CD, Abdelmalek MF, et al. Serum Bile Acid, Vitamin E, and Serotonin Metabolites Are Associated With Future Liver-Related Events in Nonalcoholic Fatty Liver Disease. Hepatol Commun. 2021 Apr;5(4):608u201317.
McClain MT, Constantine FJ, Nicholson BP, Nichols M, Burke TW, Henao R, et al. A blood-based host gene expression assay for early detection of respiratory viral infection: an index-cluster prospective cohort study. Lancet Infect Dis. 2021 Mar;21(3):396u2013404.
McClain MT, Constantine FJ, Henao R, Liu Y, Tsalik EL, Burke TW, et al. Dysregulated transcriptional responses to SARS-CoV-2 in the periphery. Nat Commun. 2021 Feb 17;12(1):1079.
Kong F, Liu X-Y, Henao R. Quantum Tensor Network in Machine Learning: An Application to Tinyn Object Classification. 2021.
Subramanian V, Engelhard M, Berchuck S, Chen L, Henao R, Carin L. SpanPredict: Extraction of Predictive Document Spans with Neural Attention. In: Naacl Hlt 2021 2021 Conference of the North American Chapter of the Association for Computational Linguistics Human Language Technologies Proceedings of the Conference. 2021. p. 5234u201358.
Kong F, Liu X-Y, Henao R. Quantum Tensor Network in Machine Learning: An Application to Tiny Object Classification. CoRR. 2021;abs/2101.03154.
Assaad S, Zeng S, Tao C, Datta S, Mehta N, Henao R, et al. Counterfactual Representation Learning with Balancing Weights. In: Banerjee A, Fukumizu K, editors. AISTATS. PMLR; 2021. p. 1972u201380.
Ross M, Henao R, Burke TW, Ko ER, McClain MT, Ginsburg GS, et al. A comparison of host response strategies to distinguish bacterial and viral infection. PLoS One. 2021;16(12):e0261385.
Draelos RL, Dov D, Mazurowski MA, Lo JY, Henao R, Rubin GD, et al. Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. Med Image Anal. 2021 Jan;67:101857.
Wang R, Henao R. Unsupervised Paraphrasing Consistency Training for Low Resource Named Entity Recognition. In: Emnlp 2021 2021 Conference on Empirical Methods in Natural Language Processing Proceedings. 2021. p. 5303u20138.
Dov D, Kovalsky SZ, Assaad S, Cohen J, Range DE, Pendse AA, et al. Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images. Med Image Anal. 2021 Jan;67:101814.
Tsalik EL, Fiorino C, Aqeel A, Liu Y, Henao R, Ko ER, et al. The Host Response to Viral Infections Reveals Common and Virus-Specific Signatures in the Peripheral Blood. Front Immunol. 2021;12:741837.
Howe C, Smith I, Overton R, Henao R, Economou-Zavlanos N, Doss J, et al. Provider Assessment of Telehealth Utility During COVID-19. In: ARTHRITIS & RHEUMATOLOGY. 2021. p. 1288u201390.
Wosik J, Clowse MEB, Overton R, Adagarla B, Economou-Zavlanos N, Cavalier J, et al. Impact of the COVID-19 pandemic on patterns of outpatient cardiovascular care. Am Heart J. 2021 Jan;231:1u20135.
Wong S, Park C, Xia M, Ratliff W, Henao R, Kheterpal M. Use of convolutional neural networks in skin lesion analysis using real world image and nonimage data. In: JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY. 2021. p. AB141u2013AB141.
Dov D, Kovalsky SZ, Assaad S, Cohen J, Range DE, Pendse AA, et al. Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images. Medical Image Anal. 2021;67:101814u2013101814.
Draelos RL, Dov D, Mazurowski MA, Lo JY, Henao R, Rubin GD, et al. Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. Medical Image Anal. 2021;67:101857u2013101857.
Assaad S, Zeng S, Mehta N, Henao R, Tao C, Datta S, et al. Counterfactual Representation Learning with Balancing Weights. Proceedings of Machine Learning Research. 2021 Jan 1;130:1972u201380.
Robbins C, Grewal DS, Wang D, Wisely C, Henao R, Lee JM, et al. Analyzing the Retinal and Choroidal Vasculature and Structure in Cognitively Healthy Individuals at Higher Genetic Risk for Alzheimer's Disease using a Convolutional Neural Network. In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. 2021.
Apte P, Overton R, Henao R, Economou-Zavlanos N, Doss J, Clowse M, et al. Impact of COVID-19 and Telehealth on RAPID3 Screening in an Academic Rheumatology Practice: Identifying Disparities in Care. In: ARTHRITIS & RHEUMATOLOGY. 2021. p. 1290u20132.
Turpin M, Watson J, Engelhard M, Henao R, Thompson D, Carin L, et al. Machine Learning Prediction of Surgical Intervention for Small Bowel Obstruction. 2021;
Chen L, Wang D, Gan Z, Liu J, Henao R, Carin L. Wasserstein contrastive representation distillation. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2021 Jan 1;16291u2013300.
Wang L, Balmat TJ, Antonia AL, Constantine FJ, Henao R, Burke TW, et al. An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility. medRxiv. 2020 Dec 22;
Giroux NS, Ding S, McClain MT, Burke TW, Petzold E, Chung HA, et al. Chromatin remodeling in peripheral blood cells reflects COVID-19 symptom severity. bioRxiv. 2020 Dec 9;
Engelhard MM, Berchuck SI, Garg J, Henao R, Olson A, Rusincovitch S, et al. Health system utilization before age 1 among children later diagnosed with autism or ADHD. Sci Rep. 2020 Oct 19;10(1):17677.
Weissler EH, Zhang J, Lippmann S, Rusincovitch S, Henao R, Jones WS. Use of Natural Language Processing to Improve Identification of Patients With Peripheral Artery Disease. Circ Cardiovasc Interv. 2020 Oct;13(10):e009447.
Xiu Z, Tao C, Gao M, Davis C, Goldstein B, Henao R. Variational Disentanglement for Rare Event Modeling. In: ArXiv. 2020.
Abdulrahim JW, Kwee LC, Alenezi F, Sun AY, Baras A, Ajayi TA, et al. Identification of Undetected Monogenic Cardiovascular Disorders. J Am Coll Cardiol. 2020 Aug 18;76(7):797u2013808.
Liu Y, Tsalik EL, Jiang Y, Ko ER, Woods CW, Henao R, et al. Average Weighted Accuracy: Pragmatic Analysis for a Rapid Diagnostics in Categorizing Acute Lung Infections (RADICAL) Study. Clin Infect Dis. 2020 Jun 10;70(12):2736u201342.
Tillekeratne LG, Suchindran S, Ko ER, Petzold EA, Bodinayake CK, Nagahawatte A, et al. Previously Derived Host Gene Expression Classifiers Identify Bacterial and Viral Etiologies of Acute Febrile Respiratory Illness in a South Asian Population. Open Forum Infect Dis. 2020 Jun;7(6):ofaa194.
ALEXOPOULOS A-S, CROWLEY M, WANG Y, GUY CD, HENAO R, SEYMOUR KA, et al. 1839-P: Glycemic Control Impacts Severity of Hepatic Fibrosis in NAFLD/NASH. In: Diabetes. American Diabetes Association; 2020.
Engelhard M, Berchuck S, Du2019Arcy J, Henao R. Neural Conditional Event Time Models. 2020 Apr 3;
Xiu Z, Tao C, Henao R. Variational Learning of Individual Survival Distributions. Proc ACM Conf Health Inference Learn (2020). 2020 Apr;2020:10u20138.
Elliott Range DD, Dov D, Kovalsky SZ, Henao R, Carin L, Cohen J. Application of a machine learning algorithm to predict malignancy in thyroid cytopathology. Cancer Cytopathol. 2020 Apr;128(4):287u201395.
Chapfuwa P, Li C, Mehta N, Carin L, Henao R. Survival cluster analysis. ACM Chil 2020 Proceedings of the 2020 ACM Conference on Health Inference and Learning. 2020 Feb 4;60u20138.
Yuan S, Bai K, Chen L, Zhang Y, Tao C, Li C, et al. Advancing weakly supervised cross-domain alignment with optimal transport. In: BMVC. BMVA Press; 2020.
Engelhard M, Berchuck S, Du2019Arcy J, Henao R. Neural Conditional Event Time Models. In: Proceedings of Machine Learning Research. 2020. p. 223u201344.
Yuan S, Bai K, Chen L, Zhang Y, Tao C, Li C, et al. Weakly supervised cross-domain alignment with optimal transport. 31st British Machine Vision Conference Bmvc 2020. 2020 Jan 1;
Xu H, Luo D, Henao R, Shah S, Carin L. Learning autoencoders with relational regularization. 37th International Conference on Machine Learning Icml 2020. 2020 Jan 1;PartF168147-14:10507u201317.
Chen J, Xiu Z, Goldstein BA, Henao R, Carin L, Tao C. Supercharging Imbalanced Data Learning With Causal Representation Transfer. CoRR. 2020;abs/2011.12454.
Chapfuwa P, Li C, Mehta N, Carin L, Henao R. Survival cluster analysis. In: Ghassemi M, editor. CHIL. ACM; 2020. p. 60u20138.
Xu H, Luo D, Henao R, Shah S, Carin L. Learning Autoencoders with Relational Regularization. In: ICML. PMLR; 2020. p. 10576u201386.
Korman H, Wojno K, Kassis A, Henao R, Hafron J, Kernen K, et al. COMPUTATIONAL IMMUNOGENOMIC MODELING OF IMMUNOEVASIVE AGGRESSIVE PROSTATE CANCER. In: JOURNAL OF UROLOGY. 2020. p. E1091u20132.
Chen L, Bai K, Tao C, Zhang Y, Wang G, Wang W, et al. Sequence generation with optimal-transport-enhanced reinforcement learning. In: Aaai 2020 34th Aaai Conference on Artificial Intelligence. 2020. p. 7512u201320.
Du K, Chitneni SK, Suzuki A, Wang Y, Henao R, Hyun J, et al. Increased Glutaminolysis Marks Active Scarring in Nonalcoholic Steatohepatitis Progression. Cell Mol Gastroenterol Hepatol. 2020;10(1):1u201321.
Chapfuwa P, Assaad S, Zeng S, Pencina MJ, Carin L, Henao R. Survival Analysis meets Counterfactual Inference. CoRR. 2020;abs/2006.07756.
Si S, Wang R, Wosik J, Zhang H, Dov D, Wang G, et al. Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage. Proceedings of Machine Learning Research. 2020 Jan 1;126:436u201356.
Wang R, Si S, Wang G, Zhang L, Carin L, Henao R. Integrating task specific information into pretrained language models for low resource fine tuning. In: Findings of the Association for Computational Linguistics Findings of Acl Emnlp 2020. 2020. p. 3181u20136.
Xiu Z, Tao C, Henao R. Variational learning of individual survival distributions. In: Ghassemi M, editor. CHIL. ACM; 2020. p. 10u20138.
Lorenzi E, Henao R, Heller K. Hierarchical infinite factor models for improving the prediction of surgical complications for geriatric patients. Annals of Applied Statistics. 2019 Dec 1;13(4):2637u201361.
Tsalik EL, Khine A, Talebpour A, Samiei A, Parmar V, Burke TW, et al. Rapid, Sample-to-Answer Host Gene Expression Test to Diagnose Viral Infection. Open Forum Infect Dis. 2019 Nov;6(11):ofz466.
Lydon EC, Henao R, Burke TW, Aydin M, Nicholson BP, Glickman SW, et al. Validation of a host response test to distinguish bacterial and viral respiratory infection. EBioMedicine. 2019 Oct;48:453u201361.
Wegermann K, Howe C, Henao R, Wang Y, Diehl AM, Abdelmalek MF, et al. PRIMARY BILE ACID AND BRANCHED CHAIN AMINO ACID METABOLITES ASSOCIATE WITH DIASTOLIC HEART FAILURE IN NON-ALCOHOLIC FATTY LIVER DISEASE. In: HEPATOLOGY. WILEY; 2019. p. 1039A-1039A.
Engelhard MM, Oliver JA, Henao R, Hallyburton M, Carin LE, Conklin C, et al. Identifying Smoking Environments From Images of Daily Life With Deep Learning. JAMA Netw Open. 2019 Aug 2;2(8):e197939.
Kassis AI, Henao R, Wojno KJ, Erickson G, Stylli H, Kantoff PW. Abstract LB-240: Immuno-genomic detection and prognostication of aggressive prostate cancer phenotypes by next-generation RNA sequencing. In: Cancer Research. American Association for Cancer Research (AACR); 2019.
Wisely CE, Wang D, Henao R, Grewal DS, Yoon SP, Polascik B, et al. Deep learning algorithm for diagnosis of Alzheimer's disease using multimodal retinal imaging. In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. ASSOC RESEARCH VISION OPHTHALMOLOGY INC; 2019.
Wang R, Wang G, Henao R. Discriminative Clustering for Robust Unsupervised Domain Adaptation. 2019.
Wegermann K, Howe C, Henao R, Wang Y, Diehl AM, Abdelmalek MF, et al. BRANCHED CHAIN AMINO ACID AND BILE ACID METABOLITES ASSOCIATE WITH FUTURE CLINICAL DECOMPENSATION IN NONALCOHOLIC FATTY LIVER DISEASE. In: GASTROENTEROLOGY. W B SAUNDERS CO-ELSEVIER INC; 2019. p. S1223u2013S1223.
Moylan CA, Grenier C, Hyun J, Du K, Henao R, Abdelmalek MF, et al. DYSREGULATED DNA METHYLATION OF FGFR2, CASP1, AND BCAT1 ASSOCIATES WITH NONALCOHOLIC FATTY LIVER DISEASE SEVERITY AND CAN BE IDENTIFIED IN PERIPHERAL BLOOD. In: GASTROENTEROLOGY. W B SAUNDERS CO-ELSEVIER INC; 2019. p. S1360u20131.
Dov D, Kovalsky S, Cohen J, Range D, Henao R, Carin L. Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathologyn Images. Proceedings of Machine Learning Research, 2019, Vol 106. 2019 Mar 29;
Wang R, Wang G, Henao R. Discriminative Clustering for Robust Unsupervised Domain Adaptation. CoRR. 2019;abs/1905.13331.
Wang W, Tao C, Gan Z, Wang G, Chen L, Zhang X, et al. Improving textual network learning with variational homophilic embeddings. Advances in Neural Information Processing Systems. 2019 Jan 1;32.
Dov D, Kovalsky SZ, Cohen J, Range DE, Henao R, Carin L. Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images. Proceedings of Machine Learning Research. 2019 Jan 1;106:553u201370.
Cheng P, Liu C, Li C, Shen D, Henao R, Carin L. Straight-Through Estimator as Projected Wasserstein Gradient Flow. CoRR. 2019;abs/1910.02176.
Chapfuwa P, Tao C, Carin L, Henao R. Survival Function Matching for Calibrated Time-to-Event Predictions. CoRR. 2019;abs/1905.08838.
Liang KJ, Wang G, Li Y, Henao R, Carin L. Kernel-based approaches for sequence modeling: Connections to neural methods. Advances in Neural Information Processing Systems. 2019 Jan 1;32.
Wang W, Tao C, Gan Z, Wang G, Chen L, Zhang X, et al. Improving Textual Network Learning with Variational Homophilic Embeddings. In: Wallach HM, Larochelle H, Beygelzimer A, du2019Alchu00e9-Buc F, Fox EB, Garnett R, editors. NeurIPS. 2019. p. 2074u201385.
Li C, Chen C, Pu Y, Henao R, Carin L. Communication-Efficient stochastic gradient mcmc for neural networks. In: 33rd Aaai Conference on Artificial Intelligence Aaai 2019 31st Innovative Applications of Artificial Intelligence Conference Iaai 2019 and the 9th Aaai Symposium on Educational Advances in Artificial Intelligence Eaai 2019. 2019. p. 4173u201380.
Han S, Tian J, Kelly M, Selvakumaran V, Henao R, Rubin GD, et al. Classifying abnormalities in computed tomography radiology reports with rule-based and natural language processing models. In: Progress in Biomedical Optics and Imaging Proceedings of SPIE. 2019.
Liu Y, Fu W, Selvakumaran V, Phelan M, Segars WP, Samei E, et al. Deep learning of 3D computed tomography (CT) images for organ segmentation using 2D multi-channel SegNet model. In: Progress in Biomedical Optics and Imaging Proceedings of SPIE. 2019.
Lydon EC, Bullard C, Aydin M, Better OM, Mazur A, Nicholson BP, et al. A host gene expression approach for identifying triggers of asthma exacerbations. PLoS One. 2019;14(4):e0214871.
Limkakeng AT, Henao R, Voora D, Ou2019Connell T, Griffin M, Tsalik EL, et al. Pilot study of myocardial ischemia-induced metabolomic changes in emergency department patients undergoing stress testing. PLoS One. 2019;14(2):e0211762.
Benitez M, Tian J, Kelly M, Selvakumaran V, Phelan M, Mazurowski M, et al. Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports. In: Progress in Biomedical Optics and Imaging Proceedings of SPIE. 2019.
Liang KJ, Wang G, Li Y, Henao R, Carin L. Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods. In: Wallach HM, Larochelle H, Beygelzimer A, du2019Alchu00e9-Buc F, Fox EB, Garnett R, editors. NeurIPS. 2019. p. 3387u201398.
Wosik J, Si S, Henao R, Carin L, Patel MR. Artificial Intelligence to Identify Commonly Asked Questions via an Electronic Patient Portal - Lessons From a Cardiology Department Within a Large Health System. In: CIRCULATION. 2019.
Tillekeratne LG, Suchindran S, Ko ER, Petzold EA, Bodinayake CK, Nagahawatte A, et al. HOST GENES ARE DIFFERENTIALLY EXPRESSED IN DENGUE COMPARED TO INFLUENZA INFECTIONS. In: AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE. AMER SOC TROP MED & HYGIENE; 2019. p. 263u2013263.
Glass O, Henao R, Patel K, Guy CD, Gruss HJ, Syn W-K, et al. Serum Interleukin-8, Osteopontin, and Monocyte Chemoattractant Protein 1 Are Associated With Hepatic Fibrosis in Patients With Nonalcoholic Fatty Liver Disease. Hepatol Commun. 2018 Nov;2(11):1344u201355.
Fourati S, Talla A, Mahmoudian M, Burkhart JG, Klu00e9n R, Henao R, et al. A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection. Nat Commun. 2018 Oct 24;9(1):4418.
Bradley T, Peppa D, Pedroza-Pacheco I, Li D, Cain DW, Henao R, et al. RAB11FIP5 Expression and Altered Natural Killer Cell Function Are Associated with Induction of HIV Broadly Neutralizing Antibody Responses. Cell. 2018 Oct 4;175(2):387-399.e17.
Chapfuwa P, Tao C, Li C, Page C, Goldstein B, Carin L, et al. Adversarial Time-to-Event Modeling. Proc Mach Learn Res. 2018 Jul;80:735u201344.
Sweeney TE, Azad TD, Donato M, Haynes WA, Perumal TM, Henao R, et al. Unsupervised Analysis of Transcriptomics in Bacterial Sepsis Across Multiple Datasets Reveals Three Robust Clusters. Crit Care Med. 2018 Jun;46(6):915u201325.
Bae A, Henao R, Suzuki A, Moylan CA, Guy CD, Diehl AM, et al. 358 - Statin Use and Liver Injury in Nonalcoholic Fatty Liver Disease: Results of a Paired Clinical and Gene Expression Profile Analysis. In: Gastroenterology. Elsevier BV; 2018.
Sweeney TE, Perumal TM, Henao R, Nichols M, Howrylak JA, Choi AM, et al. A community approach to mortality prediction in sepsis via gene expression analysis. Nat Commun. 2018 Feb 15;9(1):694.
Shen D, Wang G, Wang W, Min MR, Su Q, Zhang Y, et al. Baseline needs more love: On simple word-embedding-based models and associated pooling mechanisms. Acl 2018 56th Annual Meeting of the Association for Computational Linguistics Proceedings of the Conference Long Papers. 2018 Jan 1;1:440u201350.
Wang G, Li C, Wang W, Zhang Y, Shen D, Zhang X, et al. Joint Embedding of Words and Labels for Text Classification. In: Gurevych I, Miyao Y, editors. ACL (1). Association for Computational Linguistics; 2018. p. 2321u201331.
Shen D, Zhang X, Henao R, Carin L. Improved semantic-aware network embedding with fine-grained word alignment. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing Emnlp 2018. 2018 Jan 1;1829u201338.
Shen D, Zhang Y, Henao R, Su Q, Carin L. Deconvolutional Latent-Variable Model for Text Sequence Matching. In: McIlraith SA, Weinberger KQ, editors. AAAI. AAAI Press; 2018. p. 5438u201345.
Shen D, Su Q, Chapfuwa P, Wang W, Wang G, Carin L, et al. NasH: Toward end-to-end neural architecture for generative semantic hashing. Acl 2018 56th Annual Meeting of the Association for Computational Linguistics Proceedings of the Conference Long Papers. 2018 Jan 1;1:2041u201350.
Shen D, Zhang Y, Henao R, Su Q, Carin L. Deconvolutional latent-variable model for text sequence matching. 32nd Aaai Conference on Artificial Intelligence Aaai 2018. 2018 Jan 1;5438u201345.
Zhang X, Henao R, Gan Z, Li Y, Carin L. Multi-Label Learning from Medical Plain Text with Convolutional Residual Models. Proceedings of Machine Learning Research. 2018 Jan 1;85:280u201394.
Chapfuwa P, Tao C, Li C, Page C, Goldstein BA, Carin L, et al. Adversarial Time-to-Event Modeling. In: Dy JG, Krause A, editors. ICML. PMLR; 2018. p. 734u201343.
Wegermann K, Henao R, Diehl AM, Murphy SK, Abdelmalek MF, Moylan CA. Branched chain amino acid transaminase 1 (BCAT1) is overexpressed and hypomethylated in patients with non-alcoholic fatty liver disease who experience adverse clinical events: A pilot study. PLoS One. 2018;13(9):e0204308.
Pu Y, Dai S, Gan Z, Wang W, Wang G, Zhang Y, et al. JointGAN: Multi-domain joint distribution learning with generative adversarial nets. 35th International Conference on Machine Learning Icml 2018. 2018 Jan 1;9:6626u201335.
Zhang X, Henao R, Gan Z, Li Y, Carin L. Multi-Label Learning from Medical Plain Text with Convolutional Residual Models. In: Doshi-Velez F, Fackler J, Jung K, Kale DC, Ranganath R, Wallace BC, et al., editors. MLHC. PMLR; 2018. p. 280u201394.
Shen D, Wang G, Wang W, Min MR, Su Q, Zhang Y, et al. Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. In: Gurevych I, Miyao Y, editors. ACL (1). Association for Computational Linguistics; 2018. p. 440u201350.
Tao C, Chen L, Henao R, Feng J, Carin L. Chi-square Generative Adversarial Network. In: Dy JG, Krause A, editors. ICML. PMLR; 2018. p. 4894u2013903.
Tao C, Chen L, Zhang R, Henao R, Carin L. Variational inference and model selection with generalized evidence bounds. In: 35th International Conference on Machine Learning Icml 2018. 2018. p. 1419u201335.
Wang G, Li C, Wang W, Zhang Y, Shen D, Zhang X, et al. Joint embedding of words and labels for text classification. Acl 2018 56th Annual Meeting of the Association for Computational Linguistics Proceedings of the Conference Long Papers. 2018 Jan 1;1:2321u201331.
Rusincovitch SA, Wruck L, Henao R, Rodgers L, Dunning A, Merrill P, et al. The Duke Health Data Science Internship Program: Integrating the Educational Mission into Real-World Research. In: AMIA. AMIA; 2018.
Tillekeratne L, Suchindran S, Ko E, Petzold E, Bodinayake C, Nagahawatte A, et al. A GENE EXPRESSION SIGNATURE ACCURATELY IDENTIFIES VIRAL ACUTE RESPIRATORY INFECTIONS IN A SRI LANKAN POPULATION. In: AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE. AMER SOC TROP MED & HYGIENE; 2018. p. 641u20132.
Poore GD, Ko ER, Valente A, Henao R, Sumner K, Hong C, et al. A miRNA Host Response Signature Accurately Discriminates Acute Respiratory Infection Etiologies. Front Microbiol. 2018;9:2957.
Tao C, Chen L, Henao R, Feng J, Carin L. Supplementary material for "x2 Generative Adversarial Net". In: 35th International Conference on Machine Learning Icml 2018. 2018. p. 7797u2013809.
Tao C, Chen L, Henao R, Feng J, Carin L. X2 generative adversarial network. In: 35th International Conference on Machine Learning Icml 2018. 2018. p. 7787u201396.
Tao C, Chen L, Zhang R, Henao R, Carin L. Variational Inference and Model Selection with Generalized Evidence Bounds. In: INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 80. 2018.
Shen D, Su Q, Chapfuwa P, Wang W, Wang G, Henao R, et al. NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. In: Gurevych I, Miyao Y, editors. ACL (1). Association for Computational Linguistics; 2018. p. 2041u201350.
Pu Y, Dai S, Gan Z, Wang W, Wang G, Zhang Y, et al. JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. In: Dy JG, Krause A, editors. ICML. PMLR; 2018. p. 4148u201357.
Tao C, Chen L, Henao R, Feng J, Carin L. Chi-square Generative Adversarial Network. In: Proceedings of Machine Learning Research. 2018. p. 4887u201396.
Pu Y, Dai S, Gan Z, Wang W, Wang G, Zhang Y, et al. JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. In: Proceedings of Machine Learning Research. 2018. p. 4151u201360.
Tao C, Chen L, Zhang R, Henao R, Carin L. Variational Inference and Model Selection with Generalized Evidence Bounds. In: Proceedings of Machine Learning Research. 2018. p. 893u2013902.
Tao C, Chen L, Henao R, Feng J, Carin L. u03c7² Generative Adversarial Network. In: INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 80. 2018.
Shen D, Zhang X, Henao R, Carin L. Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. In: Riloff E, Chiang D, Hockenmaier J, Tsujii J, editors. EMNLP. Association for Computational Linguistics; 2018. p. 1829u201338.
Chapfuwa P, Tao C, Li C, Page C, Goldstein B, Carin L, et al. Adversarial time-to-event modeling. 35th International Conference on Machine Learning Icml 2018. 2018 Jan 1;2:1143u201356.
Abdelmalek MF, Henao R, Wang Y, Guy CD, Bashir MR, Johnson R, et al. Fructose-Related Hepatic ATP Depletion Induces Hyperuricemia in Healthy Volunteers and Patients with Biopsy-Proven Nonalcoholic Fatty Liver Disease. In: HEPATOLOGY. WILEY; 2017. p. 1104A-1105A.
Hald DH, Henao R, Winther O. Gaussian process based independent analysis for temporal source separation in fMRI. Neuroimage. 2017 May 15;152:563u201374.
Patel YA, Henao R, Moylan CA, Guy CD, Piercy DL, Diehl AM, et al. Reply to Kim et al. Am J Gastroenterol. 2017 May;112(5):807u20138.
Burke TW, Henao R, Soderblom E, Tsalik EL, Thompson JW, McClain MT, et al. Nasopharyngeal Protein Biomarkers of Acute Respiratory Virus Infection. EBioMedicine. 2017 Mar;17:172u201381.
Li C, Liu H, Chen C, Pu Y, Chen L, Henao R, et al. ALICE: Towards understanding adversarial learning for joint distribution matching. In: Advances in Neural Information Processing Systems. 2017. p. 5496u2013504.
Pu Y, Gan Z, Henao R, Li C, Han S, Carin L. VAE learning via Stein variational gradient descent. In: Advances in Neural Information Processing Systems. 2017. p. 4237u201346.
Li C, Liu H, Chen C, Pu Y, Chen L, Henao R, et al. ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching. In: Guyon I, Luxburg UV, Bengio S, Wallach H, Fergus R, Vishwanathan S, et al., editors. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017). NEURAL INFORMATION PROCESSING SYSTEMS (NIPS); 2017.
Pu Y, Wang W, Henao R, Chen L, Gan Z, Li C, et al. Adversarial symmetric variational autoencoder. Advances in Neural Information Processing Systems. 2017 Jan 1;2017-December:4331u201340.
Zhang Y, Gan Z, Fan K, Chen Z, Henao R, Shen D, et al. Adversarial feature matching for text generation. 34th International Conference on Machine Learning Icml 2017. 2017 Jan 1;8:6093u2013102.
Gan Z, Pu Y, Henao R, Li C, He X, Carin L. Learning generic sentence representations using convolutional neural networks. In: Emnlp 2017 Conference on Empirical Methods in Natural Language Processing Proceedings. 2017. p. 2390u2013400.
Zhang Y, Shen D, Wang G, Gan Z, Henao R, Carin L. Deconvolutional Paragraph Representation Learning. In: Guyon I, Luxburg UV, Bengio S, Wallach HM, Fergus R, Vishwanathan SVN, et al., editors. NIPS. 2017. p. 4169u201379.
Pu Y, Gan Z, Henao R, Li C, Han S, Carin L. Stein Variational Autoencoder. CoRR. 2017;abs/1704.05155.
Zhang Y, Shen D, Wang G, Gan Z, Henao R, Carin L. Deconvolutional paragraph representation learning. Advances in Neural Information Processing Systems. 2017 Jan 1;2017-December:4170u201380.
Pu Y, Gan Z, Henao R, Li C, Han S, Carin L. VAE Learning via Stein Variational Gradient Descent. In: Guyon I, Luxburg UV, Bengio S, Wallach H, Fergus R, Vishwanathan S, et al., editors. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017). NEURAL INFORMATION PROCESSING SYSTEMS (NIPS); 2017.
Li C, Liu H, Chen C, Pu Y, Chen L, Henao R, et al. Towards Understanding Adversarial Learning for Joint Distribution Matching. CoRR. 2017;abs/1709.01215.
Zhang Y, Chen C, Gan Z, Henao R, Carin L. Stochastic Gradient Monomial Gamma Sampler. In: INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 70. 2017.
Rusincovitch SA, Henao R, Gao M, Carin L, Rogers U, Neely NB, et al. Rationale and Design for the Duke Connected Care Predictive Modeling Pilot with a Medicare Shared Savings Program Population. In: AMIA. AMIA; 2017.
Komives E, Rusincovitch SA, Paat J, Carin L, Costello D, Gao M, et al. Guiding Principles for the Duke Connected Care Predictive Modeling Pilot. In: AMIA. AMIA; 2017.
Zhang Y, Gan Z, Fan K, Chen Z, Henao R, Shen D, et al. Adversarial Feature Matching for Text Generation. In: Precup D, Teh YW, editors. ICML. PMLR; 2017. p. 4006u201315.
Pu Y, Wang W, Henao R, Chen L, Gan Z, Li C, et al. Adversarial Symmetric Variational Autoencoder. In: Guyon I, Luxburg UV, Bengio S, Wallach H, Fergus R, Vishwanathan S, et al., editors. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017). NEURAL INFORMATION PROCESSING SYSTEMS (NIPS); 2017.
Zhang Y, Chen C, Gan Z, Henao R, Carin L. Stochastic gradient monomial gamma sampler. 34th International Conference on Machine Learning Icml 2017. 2017 Jan 1;8:6083u201392.
Patel YA, Henao R, Moylan CA, Guy CD, Piercy DL, Diehl AM, et al. Vitamin D is Not Associated With Severity in NAFLD: Results of a Paired Clinical and Gene Expression Profile Analysis. Am J Gastroenterol. 2016 Nov;111(11):1591u20138.
Patel YA, Henao R, Moylan CA, Guy CD, Piercy DL, Diehl AM, et al. Vitamin D is Not Associated with Histologic Severity in NAFLD: Results of a Paired Clinical and Hepatic Gene Expression Profile Analysis. In: HEPATOLOGY. WILEY; 2016. p. 577A-577A.
Wegermann K, Henao R, Pan Y, Diehl AM, Abdelmalek MF, Moylan CA. BCAT1 is Associated with Clinical Decompensation in NAFLD: A Pilot Study. In: HEPATOLOGY. WILEY; 2016. p. 577A-577A.
Moylan CA, Wegermann KJ, Henao RG, Murphy SK, Diehl AM, Abdelmalek MF. BCAT1 Is Associated with Clinical Decompensation in Nonalcoholic Fatty Liver Disease: a Pilot Study. In: American Journal of Gastroenterology. Ovid Technologies (Wolters Kluwer Health); 2016. p. S381u2013S381.
Fan K, Zhang Y, Henao R, Heller K. Triply stochastic variational inference for non-linear beta process factor analysis. In: Proceedings IEEE International Conference on Data Mining Icdm. 2016. p. 121u201330.
Zhang Y, Zhao Y, David L, Henao R, Carin L. Dynamic poisson factor analysis. In: Proceedings IEEE International Conference on Data Mining Icdm. 2016. p. 1359u201364.
Henao R, Lu JT, Lucas JE, Ferranti J, Carin L. Electronic health record analysis via deep poisson factor models. Journal of Machine Learning Research. 2016 Apr 1;17.
McClain MT, Henao R, Williams J, Nicholson B, Veldman T, Hudson L, et al. Differential evolution of peripheral cytokine levels in symptomatic and asymptomatic responses to experimental influenza virus challenge. Clin Exp Immunol. 2016 Mar;183(3):441u201351.
Tsalik EL, Henao R, Nichols M, Burke T, Ko ER, McClain MT, et al. Host gene expression classifiers diagnose acute respiratory illness etiology. Sci Transl Med. 2016 Jan 20;8(322):322ra11.
Gan Z, Yuan X, Henao R, Tsalik EL, Carin L. Inference of gene networks associated with the host response to infectious disease. In: Big Data over Networks. Cambridge University Press; 2016. p. 365u201390.
Song Z, Henao R, Carlson D, Carin L. Learning sigmoid belief networks via Monte Carlo expectation maximization. In: Artificial Intelligence and Statistics. 2016. p. 1347u201355.
Gan Z, Pu Y, Henao R, Li C, He X, Carin L. Unsupervised Learning of Sentence Representations using Convolutional Neural Networks. CoRR. 2016;abs/1611.07897.
Zhang Y, Wang X, Chen C, Henao R, Fan K, Carin L. Towards Unifying Hamiltonian Monte Carlo and Slice Sampling. In: Lee DD, Sugiyama M, Luxburg UV, Guyon I, Garnett R, editors. NIPS. 2016. p. 1741u20139.
Pu Y, Gan Z, Henao R, Yuan X, Li C, Stevens A, et al. Variational Autoencoder for Deep Learning of Images, Labels and Captions. In: Lee DD, Sugiyama M, Luxburg UV, Guyon I, Garnett R, editors. NIPS. 2016. p. 2352u201360.
Pu Y, Gan Z, Henao R, Yuan X, Li C, Stevens A, et al. Variational autoencoder for deep learning of images, labels and captions. In: Advances in Neural Information Processing Systems. 2016. p. 2360u20138.
Zhang Y, Wang X, Chen C, Henao R, Fan K, Carin L. Towards unifying hamiltonian Monte Carlo and Slice sampling. In: Advances in Neural Information Processing Systems. 2016. p. 1749u201357.
Yizhe Z, Henao R, Li C, Carin L. Bayesian dictionary learning with Gaussian processes and sigmoid belief networks. In: Ijcai International Joint Conference on Artificial Intelligence. 2016. p. 2364u201370.
Zhang Y, Chen C, Henao R, Carin L. Laplacian Hamiltonian Monte Carlo. In: Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. 2016. p. 98u2013114.
Zhang Y, Henao R, Carin L, Zhong J, Hartemink AJ. Learning a Hybrid Architecture for Sequence Regression and Annotation. In: Schuurmans D, Wellman MP, editors. AAAI. AAAI Press; 2016. p. 1415u201321.
Henao R, Hasanaliyeva N, Bell LN, Wulff J, Perichon R, Moylan CA, et al. Plasma Metabolomic Profiles Predict Advanced Hepatic Fibrosis in Patients with Nonalcoholic Fatty Liver Disease. In: HEPATOLOGY. WILEY-BLACKWELL; 2015. p. 290A-291A.
Vikesu00e5 J, Mu00f8ller AKH, Kaczkowski B, Borup R, Winther O, Henao R, et al. Cancers of unknown primary origin (CUP) are characterized by chromosomal instability (CIN) compared to metastasis of know origin. BMC Cancer. 2015 Mar 19;15:151.
Gan Z, Chen C, Henao R, Carlson D, Carin L. Scalable Deep Poisson Factor Analysis for Topic Modeling. In: ICML. 2015.
Gan Z, Li C, Henao R, Carlson DE, Carin L. Deep Temporal Sigmoid Belief Networks for Sequence Modeling. In: Cortes C, Lawrence ND, Lee DD, Sugiyama M, Garnett R, editors. NIPS. 2015. p. 2467u201375.
Henao R, Gan Z, Lu J, Carin L. Deep poisson factor modeling. In: Advances in Neural Information Processing Systems. 2015. p. 2800u20138.
Raiy P, Hu C, Henao R, Carin L. Large-scale Bayesian multi-label learning via topic-based label embeddings. In: Advances in Neural Information Processing Systems. 2015. p. 3222u201330.
Lian W, Henao R, Rao V, Lucas J, Carin L. A multitask point process predictive model. In: 32nd International Conference on Machine Learning Icml 2015. 2015. p. 2030u20138.
Gan Z, Henao R, Carlson D, Carin L. Learning deep sigmoid belief networks with data augmentation. In: Artificial Intelligence and Statistics. 2015. p. 268u201376.
Gan Z, Li C, Henao R, Carlson DE, Carin L. Deep temporal sigmoid belief networks for sequence modeling. Advances in Neural Information Processing Systems. 2015;2467u201375.
Yuan X, Henao R, Tsalik EL, Langley RJ, Carin L. Non-Gaussian discriminative factor models via the max-margin rank-likelihood. 32nd International Conference on Machine Learning Icml 2015. 2015 Jan 1;2:1254u201363.
Quinones QJ, Ma Q, Zhang Z, Henao R, Soderblom E, Moseley MA, et al. Proteomic Profiling Reveals Reduction in Electron Transport Chain Proteins in the Hearts of Hibernating Arctic Ground Squirrels Compared with Rats after Surgical Ischemia and Reperfusion: A Convergence of Mammalian Cardio-protective Strategies. In: CIRCULATION. LIPPINCOTT WILLIAMS & WILKINS; 2014.
Tsalik EL, Langley RJ, Dinwiddie DL, Miller NA, Yoo B, van Velkinburgh JC, et al. An integrated transcriptome and expressed variant analysis of sepsis survival and death. Genome Med. 2014;6(11):111.
Henao R, Yuan X, Carin L. Bayesian nonlinear support vector machines and discriminative factor modeling. In: Advances in Neural Information Processing Systems. 2014. p. 1754u201362.
Benjamin AM, Thompson JW, Soderblom EJ, Geromanos SJ, Henao R, Kraus VB, et al. A flexible statistical model for alignment of label-free proteomics data--incorporating ion mobility and product ion information. BMC Bioinformatics. 2013 Dec 16;14:364.
Ouinones QJ, Ma Q, Henao R, Lucas J, Riess ML, Bain J, et al. Proteomnic and Metabolomic Profiling After Isehemia-Reperfusion Injury Reveals Bottlenecks That Underlie Cardioprotection in Hibernating Mammals. In: CIRCULATION. LIPPINCOTT WILLIAMS & WILKINS; 2013.
Henao R, Thompson JW, Moseley MA, Ginsburg GS, Carin L, Lucas JE. Latent protein trees. Annals of Applied Statistics. 2013 Jun 1;7(2):691u2013713.
Kurokawa M, Kim J, Geradts J, Matsuura K, Liu L, Ran X, et al. A network of substrates of the E3 ubiquitin ligases MDM2 and HUWE1 control apoptosis independently of p53. Sci Signal. 2013 May 7;6(274):ra32.
Henao R, Murray J, Ginsburg G, Carin L, Lucas JE. Patient clustering with uncoded text in electronic medical records. AMIA Annu Symp Proc. 2013;2013:592u20139.
Henao R, Thompson JW, Moseley MA, Ginsburg GS, Carin L, Lucas JE. Hierarchical factor modeling of proteomics data. 2012 IEEE 2nd International Conference on Computational Advances in Bio and Medical Sciences Iccabs 2012. 2012 May 8;
Henao R, Lucas JE. Efficient hierarchical clustering for continuous data. 2012 Apr 20;
Henao R, Winther O. Predictive active set selection methods for Gaussian processes. Neurocomputing. 2012 Mar 15;80:10u20138.
Rossing M, Borup R, Henao R, Winther O, Vikesaa J, Niazi O, et al. Down-regulation of microRNAs controlling tumourigenic factors in follicular thyroid carcinoma. J Mol Endocrinol. 2012 Feb;48(1):11u201323.
Carin L, Hero A, Lucas J, Dunson D, Chen M, Heu00f1ao R, et al. High-Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections. IEEE Signal Process Mag. 2012 Jan 1;29(1):108u201323.
Friis M, Martin-Bertelsen T, Friis-Hansen L, Winther O, Henao R, Su00f8rensen MS, et al. Gene expression of the endolymphatic sac. Acta Otolaryngol. 2011 Dec;131(12):1257u201363.
Henao R, Winther O. Sparse linear identifiable multivariate modeling. Journal of Machine Learning Research. 2011 Mar 1;12:863u2013905.
Henao R, Winther O. PASS-GP: Predictive active set selection for Gaussian processes. Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing Mlsp 2010. 2010 Nov 24;148u201353.
Borup R, Rossing M, Henao R, Yamamoto Y, Krogdahl A, Godballe C, et al. Molecular signatures of thyroid follicular neoplasia. Endocr Relat Cancer. 2010 Sep;17(3):691u2013708.
Walder C, Henao R, Mu00f8rup M, Hansen LK. Semi-Supervised Kernel PCA. CoRR. 2010;abs/1008.1398.
Henao R, Winther O. Bayesian sparse factor models and DAGs inference and comparison. In: Advances in Neural Information Processing Systems 22 Proceedings of the 2009 Conference. 2009. p. 736u201344.
Alvarez Lu00f3pez MA, Henao R, Orozco A. Myocardial ischemia detection using Hidden Markov principal component analysis. Ifmbe Proceedings. 2008 Jan 1;18:99u2013103.
Alvarez M, Henao R, Castellanos G, Godino JI, Orozco A. Kernel principal component analysis through time for voice disorder classification. In: 2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15. IEEE; 2006. p. 2620-+.
Alvarez M, Henao R. Probabilistic kernel principal component analysis through time. In: Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. 2006. p. 747u201354.
Alvarez M, Henao R, Castellanos G, Godino JI, Orozco A. Kernel Principal Component analysis through time for voice disorder classification. Conference proceedingsu202f: . Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Conference. 2006;5511u20134.
Alvarez M, Henao R, Castellanos G, Godino JI, Orozco A. Kernel Principal Component analysis through time for voice disorder classification. Conf Proc IEEE Eng Med Biol Soc. 2006;2006:5511u20134.
Rengifo CL, Alvarez DA, Henao R, Castellanos G, Hurtado JE. Active Learning on the Classification of Voice Pathologies. In: Proceedings of the Annual Conference of the International Speech Communication Association Interspeech. 2004.
Kraft BD, Valente AM, Tsalik EL, McClain MT, Nichols M, Burke T, et al. Molecular Dynamics of the Host Response to Streptococcus Pneumoniae Pneumonia in Baboons.

In The News

Provost Launches AI Initiative and Steering Committee (May 23, 2025 | Duke Today)
Duke Researchers Look to Help Protect Astronaut's Eyes in Space (Sep 14, 2020 | Precision Medicine)
New Collaborative Seed Grant Program Gives Eight Awards (Mar 16, 2016 | )