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May Dongmei Wang
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2020 – today
- 2024
[j43]Hang Wu, Wenqi Shi, May D. Wang:
Developing a novel causal inference algorithm for personalized biomedical causal graph learning using meta machine learning. BMC Medical Informatics Decis. Mak. 24(1): 137 (2024)- [j42]Hang Wu, Wenqi Shi, Anirudh Choudhary, May D. Wang:
Clinical decision making under uncertainty: a bootstrapped counterfactual inference approach. BMC Medical Informatics Decis. Mak. 24(1): 275 (2024) - [c182]Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May Dongmei Wang, Joyce C. Ho, Carl Yang:
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. ACL (Short Papers) 2024: 754-765 - [c181]Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce C. Ho, Carl Yang:
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. ACL (Findings) 2024: 15496-15523 - [c180]J. Ben Tamo
, Micky C. Nnamdi, Andrew Hornback, Matthew Chen, Wenqi Shi, Yuanda Zhu, Henry J. Iwinski, May D. Wang:
Heterogeneous Treatment Effects of Spinal Fusion Surgery for Adolescent Idiopathic Scoliosis Patients. BCB 2024: 6:1-6:10 - [c179]Andrew Hornback, Monica Isgut, Anirudh Jaishankar, Harinishree Sathu, Pavithra Avula, May D. Wang:
Uncovering Key Features of Individuals Who Benefit from Polygenic Risk Scores in Prostate Cancer Prediction. BCB 2024: 47:1-47:6 - [c178]Rohan Dhamdhere, Satvika Bharadwaj, Arpit Aggarwal, Pushkar Mutha, Wenqi Shi, Benoit Marteau, Anant Madabhushi, May D. Wang:
Interpretable Survival Risk Prediction for High-Grade Glioma Patients via Radiomic Features from Peritumoral Region. EMBC 2024: 1-5 - [c177]Anirudh Jaishankar, Neha Jain, Andrew Hornback, Asma Khimani, Pavithra Avula, May D. Wang:
Identifying Features for Keloid Scars Subtyping Using K-Modes Clustering. EMBC 2024: 1-6 - [c176]Asma Khimani, Andrew Hornback, Neha Jain, Pavithra Avula, Anirudh Jaishankar, May D. Wang:
Predicting Cardiovascular Disease Risk in Tobacco Users Using Machine Learning Algorithms. EMBC 2024: 1-5 - [c175]Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang:
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. EMNLP 2024: 22234-22254 - [c174]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang:
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning. EMNLP 2024: 22294-22314 - [c173]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang:
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. EMNLP 2024: 22315-22339 - [c172]Neha Jain, Andrew Hornback, May Dongmei Wang:
EMxDesign: A Genetic Algorithm for High Affinity Drug Design. GECCO Companion 2024: 439-442 - [i13]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May D. Wang:
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. CoRR abs/2401.07128 (2024) - [i12]Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang:
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. CoRR abs/2403.00815 (2024) - [i11]Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May D. Wang, Joyce C. Ho, Chao Zhang, Carl Yang:
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. CoRR abs/2404.18443 (2024) - [i10]Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Hang Wu, Carl Yang, May D. Wang:
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning. CoRR abs/2405.03000 (2024) - 2023
- [j41]Charles A. Ellis, Mohammad S. Eslampanah Sendi, Rongen Zhang, Darwin A. Carbajal, May D. Wang, Robyn L. Miller, Vince D. Calhoun:
Novel methods for elucidating modality importance in multimodal electrophysiology classifiers. Frontiers Neuroinformatics 17 (2023) - [j40]Felipe O. Giuste, Ryan Sequeira, Vikranth Keerthipati, Peter Lais, Ali Mirzazadeh, Arshawn Mohseni, Yuanda Zhu, Wenqi Shi, Benoit Marteau, Yishan Zhong, Li Tong, Bibhuti Das, Bahig M. Shehata, Shriprasad R. Deshpande, May D. Wang:
Explainable synthetic image generation to improve risk assessment of rare pediatric heart transplant rejection. J. Biomed. Informatics 139: 104303 (2023) - [c171]Junior Ben Tamo, Wenqi Shi, Yuanda Zhu, Micky C. Nnamdi, Henry J. Iwinski, J. Michael Wattenbarger, May Dongmei Wang:
Adolescent Idiopathic Scoliosis Patient Subphenotyping for Surgical Planning and Improved Patient Outcomes. BCB 2023: 2:1-2:10 - [c170]Wenqi Shi, Yuchen Zhuang, Yuanda Zhu, Henry J. Iwinski, J. Michael Wattenbarger, May Dongmei Wang:
Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making. BCB 2023: 14:1-14:10 - [c169]Wenqi Shi, Benoit Louis Marteau, Felipe O. Giuste, May Dongmei Wang:
Choice Over Effort: Mapping and Diagnosing Augmented Whole Slide Image Datasets with Training Dynamics. BCB 2023: 28:1-28:6 - [c168]Micky C. Nnamdi, Junior Ben Tamo, Sara Stackpole, Wenqi Shi, Benoit Marteau, May Dongmei Wang:
Model Confidence Calibration for Reliable COVID-19 Early Screening via Audio Signal Analysis. BCB 2023: 39:1-39:6 - [c167]Han Bao, Jie Deng, Shihao Xing, Yishan Zhong, Wenqi Shi, Benoit Marteau, Bibhuti Das, Bahig M. Shehata, Shriprasad R. Deshpande, May D. Wang:
Rare Heart Transplant Rejection Classification Using Diffusion-Based Synthetic Image Augmentation. BHI 2023: 1-4 - [c166]Micky C. Nnamdi, Wenqi Shi, Junior Ben Tamo, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang:
Concept Bottleneck Model for Adolescent Idiopathic Scoliosis Patient Reported Outcomes Prediction. BHI 2023: 1-4 - [c165]Yuanda Zhu, May D. Wang:
Automated Seizure Detection using Transformer Models on Multi-Channel EEGs. BHI 2023: 1-6 - [c164]Amritpal Singh, Wenqi Shi, May D. Wang:
Multi-Modal Deep Feature Integration for Alzheimer's Disease Staging. BIBM 2023: 1-6 - [c163]Xinling Li, Cheng Zhang, Wei-An Chen, Wenqi Shi, May D. Wang:
Identification of Single-Cell RNA Sequencing Molecular Signatures for COVID-19 Infection Severity Classification. BIBM 2023: 2044-2047 - [c162]Cheng Ding, Jayden Myers, David Lin, Wenqi Shi, May D. Wang, Zewei Lei, Benoit Marteau:
Personalized COVID-19 Early Detection Using Wearable Data Based on Self-Reported Records. BIBM 2023: 3348-3353 - [c161]Wenqi Shi, Mio Murakoso, Xiaoyan Guo, May D. Wang:
Development of Interpretable Machine Learning Models for COVID-19 Drug Target Docking Scores Prediction. BIBM 2023: 4124-4131 - [c160]Wenqi Shi, Mio Murakoso, Xiaoyan Guo, Linxi Xiong, Matthew Chen, May D. Wang:
Effective Surrogate Models for Docking Scores Prediction of Candidate Drug Molecules on SARS-CoV-2 Protein Targets. BIBM 2023: 4235-4242 - [c159]Junior Ben Tamo, Micky C. Nnamdi, Lea Lesbats, Wenqi Shi, Yishan Zhong, May D. Wang:
Uncertainty-Aware Ensemble Learning Models for Out-of-Distribution Medical Imaging Analysis. BIBM 2023: 4243-4250 - [c158]Andrew Hornback, Yuanda Zhu, Monica Isgut, Wenqi Shi, Arjita Nema, Blake J. Anderson, May D. Wang:
Latent Topic Extraction as a Source of Labeling in Natural Language Processing. BIBM 2023: 4312-4319 - [c157]Monica Isgut, Neha Jain, Andrew Hornback, Karan Samel, May Dongmei Wang:
GeneDAE: A Sparse Denoising Autoencoder for Deriving Interpretable Gene Embeddings. Tiny Papers @ ICLR 2023 - [e1]May D. Wang, Byung-Jun Yoon:
Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2023, Houston, TX, USA, September 3-6, 2023. ACM 2023 [contents] - [i9]Amritpal Singh, Wenqi Shi, May D. Wang:
Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning. CoRR abs/2309.00837 (2023) - 2022
- [j39]Yuanda Zhu, Janani Venugopalan, Zhenyu Zhang, Nikhil Chanani, Kevin O. Maher, May D. Wang:
Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit. Frontiers Artif. Intell. 5: 640926 (2022) - [j38]Yuanda Zhu, Ying Sha, Hang Wu, Mai Li, Ryan A. Hoffman, May D. Wang:
Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics. IEEE J. Biomed. Health Informatics 26(4): 1422-1431 (2022) - [c156]Andrew Hornback, Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ashley M. Carpenter, Coleman Hilton, Vinieth N. Bijanki, Hiram Stahl, Gary S. Gottesman, Chad Purnell, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang:
Development of a generalizable multi-site and multi-modality clinical data cloud infrastructure for pediatric patient care. BCB 2022: 23:1-23:10 - [c155]Aekansh Goel, Zachary Mudge, Sarah Bi, Charles Brenner, Nicholas Huffman, Felipe O. Giuste, Benoit Marteau, Wenqi Shi, May D. Wang:
Identification of covid-19 severity and associated genetic biomarkers based on scrna-SEQ data. BCB 2022: 45:1-45:5 - [c154]Yuanda Zhu, Aishwarya Mahale, Kourtney Peters, Lejy Mathew, Felipe O. Giuste, Blake J. Anderson, May D. Wang:
Using natural language processing on free-text clinical notes to identify patients with long-term COVID effects. BCB 2022: 46:1-46:9 - [c153]Aishwarya Mahale, Yuanda Zhu, Sami Belhareth, Adam Graf, Karen Kruger, Joseph Krzak, May D. Wang:
Automating Treatment Recommendations for Children with Cerebral Palsy Based on Multi-Modal Clinical Data. BHI 2022: 1-4 - [c152]Yuheng Li, Jieh Sheng Hsu, Noaima Bari, Xu Qiu, Malvika Viswanathan, Wenqi Shi, Felipe O. Giuste, Yishan Zhong, Jimin Sun, May Dongmei Wang:
Interpretable Evaluation of Diabetic Retinopathy Grade Regarding Eye Color Fundus Images. BIBE 2022: 11-16 - [c151]Beom J. Lee, Sarkis T. Martirosyan, Zaid Khan, Han Y. Chiu, Zun Wang, Wenqi Shi, Felipe O. Giuste, Yishan Zhong, Jimin Sun, May Dongmei Wang:
Attention-based Automated Chest CT Image Segmentation Method of COVID-19 Lung Infection. BIBE 2022: 158-163 - [c150]Sathvik S. Prabhu, John A. Berkebile, Neha Rajagopalan, Renjie Yao, Wenqi Shi, Felipe O. Giuste, Yishan Zhong, Jimin Sun, May D. Wang:
Multi-Modal Deep Learning Models for Alzheimer's Disease Prediction Using MRI and EHR. BIBE 2022: 168-173 - [c149]Alexandra Zamitalo, Qingtong Xie, Mayar Allam, Phinu Philip, Wenqi Shi, Felipe O. Giuste, Benoit Marteau, Mio Murakoso, May D. Wang:
Development of Machine Learning Regression Model for COVID-19 Drug Target Prediction. BIBM 2022: 2808-2815 - [c148]Benoit Marteau, Yuanda Zhu, Felipe O. Giuste, Wenqi Shi, Ashley M. Carpenter, Coleman Hilton, May D. Wang:
Accelerating Multi-site Health Informatics with Streamlined Data Infrastructure using OMOP-on-FHIR. EMBC 2022: 4687-4690 - 2021
- [j37]Hamid Reza Hassanzadeh, May D. Wang:
An Integrated Deep Network for Cancer Survival Prediction Using Omics Data. Frontiers Big Data 4: 568352 (2021) - [j36]Wenqi Shi, Li Tong, Yuanda Zhu, May D. Wang:
COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks. IEEE J. Biomed. Health Informatics 25(7): 2376-2387 (2021) - [c147]Tarun Naren, Yuanda Zhu, May Dongmei Wang:
COVID-19 diagnosis using model agnostic meta-learning on limited chest X-ray images. BCB 2021: 42:1-42:9 - [c146]Asim Hossain Gazi, Patrick Lis, Arshawn Mohseni, Christopher Ompi, Felipe O. Giuste, Wenqi Shi, Omer T. Inan, May D. Wang:
Respiratory Markers Significantly Enhance Anxiety Detection Using Multimodal Physiological Sensing. BHI 2021: 1-4 - [c145]Felipe O. Giuste, Lawrence L. He, Monica Isgut, Wenqi Shi, Blake J. Anderson, May D. Wang:
Automated Risk Assessment of COVID-19 Patients at Diagnosis Using Electronic Healthcare Records. BHI 2021: 1-4 - [c144]Ali Mirzazadeh, Arshawn Mohseni, Sahar Ibrahim, Felipe O. Giuste, Yuanda Zhu, Bahig M. Shehata, Shriprasad R. Deshpande, May D. Wang:
Improving Heart Transplant Rejection Classification Training using Progressive Generative Adversarial Networks. BHI 2021: 1-4 - [c143]Wenqi Shi, Mitali S. Gupte, May D. Wang:
Learning from Heterogeneous Data via Contrastive Learning: An Application in Multi-Source COVID-19 Radiography. BHI 2021: 1-4 - [c142]Can F. Usanmaz, Matthew E. White, Marcus Valancius, May D. Wang:
An Expansion for Automated Cardiac Anomaly Detection Frameworks with Multimodal Missing Data Imputation. BHI 2021: 1-5 - [c141]Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Robyn L. Miller, May D. Wang:
A Gradient-based Approach for Explaining Multimodal Deep Learning Classifiers. BIBE 2021: 1-6 - [c140]Charles A. Ellis, Rongen Zhang, Vince D. Calhoun, Darwin A. Carbajal, Mohammad S. Eslampanah Sendi, May D. Wang, Robyn L. Miller:
A Novel Local Ablation Approach for Explaining Multimodal Classifiers. BIBE 2021: 1-6 - [c139]Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ashley M. Carpenter, Henry J. Iwinski, Coleman Hilton, J. Michael Wattenbarger, May D. Wang:
A FHIR-compliant Application for Multi-Site and Multi-Modality Pediatric Scoliosis Patient Rehabilitation. BIBM 2021: 1524-1527 - [c138]Charles A. Ellis, Rongen Zhang, Darwin A. Carbajal, Robyn L. Miller, Vince D. Calhoun, May D. Wang:
Explainable Sleep Stage Classification with Multimodal Electrophysiology Time-series*. EMBC 2021: 2363-2366 - [i8]Felipe O. Giuste, Wenqi Shi, Yuanda Zhu, Tarun Naren, Monica Isgut, Ying Sha, Li Tong, Mitali S. Gupte, May D. Wang:
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review. CoRR abs/2112.12705 (2021) - 2020
- [j35]Li Tong, Jonathan Mitchel, Kevin Chatlin, May D. Wang:
Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis. BMC Medical Informatics Decis. Mak. 20(1): 225 (2020) - [j34]Amir A. Amini, Wei Chen, Giancarlo Fortino, Ye Li, Yi Pan, May Dongmei Wang:
Editorial Special Issue on "AI-Driven Informatics, Sensing, Imaging and Big Data Analytics for Fighting the COVID-19 Pandemic". IEEE J. Biomed. Health Informatics 24(10): 2731-2732 (2020) - [c137]Felipe O. Giuste, Mythreye Venkatesan, Conan Zhao, Li Tong, Yuanda Zhu, Shriprasad R. Deshpande, May D. Wang:
Automated Classification of Acute Rejection from Endomyocardial Biopsies. BCB 2020: 6:1-6:9 - [c136]Yixing Jiang, Kristen Alford, Frank Ketchum, Li Tong, May D. Wang:
TLSurv: Integrating Multi-Omics Data by Multi-Stage Transfer Learning for Cancer Survival Prediction. BCB 2020: 23:1-23:10 - [c135]Wenqi Shi, Li Tong, Yuchen Zhuang, Yuanda Zhu, May D. Wang:
EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis. BCB 2020: 36:1-36:6 - [c134]Yuanda Zhu, Mohammed Saqib, Elizabeth Ham, Sami Belhareth, Ryan Hoffman, May Dongmei Wang:
Mitigating Patient-to-Patient Variation in EEG Seizure Detection using Meta Transfer Learning. BIBE 2020: 548-555 - [c133]Hang Wu, May D. Wang:
An Information Theoretic Learning for Causal Direction Identification. COMPSAC 2020: 287-294 - [c132]Hang Wu, May D. Wang:
Training Confidence-Calibrated Classifier via Distributionally Robust Learning. COMPSAC 2020: 295-304 - [c131]Mohammed Saqib, Yuanda Zhu, May D. Wang, Brett K. Beaulieu-Jones:
Regularization of Deep Neural Networks for EEG Seizure Detection to Mitigate Overfitting. COMPSAC 2020: 664-673 - [c130]Shreyas Malakarjun Patil, Li Tong, May D. Wang:
Generating Region of Interests for Invasive Breast Cancer in Histopathological Whole-Slide-Image. COMPSAC 2020: 723-728 - [c129]Roshan Konda, Hang Wu, May D. Wang:
Graph Convolutional Neural Networks to Classify Whole Slide Images. COMPSAC 2020: 754-758 - [c128]Roshan Konda, Hang Wu, May D. Wang:
Graph Convolutional Neural Networks to Classify Whole Slide Images. ICASSP 2020: 1334-1338 - [i7]Yuanda Zhu, Ying Sha, Hang Wu, Mai Li, Ryan A. Hoffman, May D. Wang:
Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation. CoRR abs/2009.10318 (2020)
2010 – 2019
- 2019
- [j33]Weiquan Wang, May D. Wang:
Effects of Sponsorship Disclosure on Perceived Integrity of Biased Recommendation Agents: Psychological Contract Violation and Knowledge-Based Trust Perspectives. Inf. Syst. Res. 30(2): 507-522 (2019) - [j32]Li Tong, Hang Wu, May D. Wang:
CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images. J. Am. Medical Informatics Assoc. 26(11): 1286-1296 (2019) - [j31]Tamer Kahveci, Giuseppe Pozzi, Amarda Shehu, May Dongmei Wang:
Guest Editorial on the Special Issue on Informatics on Biomedical Data Learning, Reasoning, and Representation. IEEE J. Biomed. Health Informatics 23(1): 81-82 (2019) - [j30]Janani Venugopalan, Nikhil Chanani, Kevin O. Maher, May D. Wang:
Novel Data Imputation for Multiple Types of Missing Data in Intensive Care Units. IEEE J. Biomed. Health Informatics 23(3): 1243-1250 (2019) - [c127]Anirudh Choudhary, Hang Wu, Li Tong, May D. Wang:
Learning to Evaluate Color Similarity for Histopathology Images using Triplet Networks. BCB 2019: 466-474 - [c126]Juan Carlos Vizcarra, Ryan Place, Li Tong, David A. Gutman, May Dongmei Wang:
Fusion In Breast Cancer Histology Classification. BCB 2019: 485-493 - [c125]May D. Wang, Hang Wu:
Tutorial: Causal Inference in Biomedical Data Analytics - Basics and Recent Advances. BCB 2019: 558 - [c124]Yuanda Zhu, Li Tong, Shriprasad R. Deshpande, May D. Wang:
Improved Prediction on Heart Transplant Rejection Using Convolutional Autoencoder and Multiple Instance Learning on Whole-Slide Imaging. BHI 2019: 1-4 - [c123]Yuanda Zhu, Hang Wu, May D. Wang:
Feature Exploration and Causal Inference on Mortality of Epilepsy Patients Using Insurance Claims Data. BHI 2019: 1-4 - [c122]Cyrus Tanade, Nathanael Pate, Elianna Paljug, Ryan A. Hoffman, May Dongmei Wang:
Hybrid Modeling of Ebola Propagation. BIBE 2019: 204-210 - [c121]Jonathan Mitchel, Kevin Chatlin, Li Tong, May D. Wang:
A Translational Pipeline for Overall Survival Prediction of Breast Cancer Patients by Decision-Level Integration of Multi-Omics Data. BIBM 2019: 1573-1580 - [c120]Li Tong, Ying Sha, May D. Wang:
Improving Classification of Breast Cancer by Utilizing the Image Pyramids of Whole-Slide Imaging and Multi-scale Convolutional Neural Networks. COMPSAC (1) 2019: 696-703 - [i6]Yundong Zhang, Hang Wu, Huiye Liu, Li Tong, May D. Wang:
Mitigating the Effect of Dataset Bias on Training Deep Models for Chest X-rays. CoRR abs/1910.06745 (2019) - 2018
- [j29]Cheng Yang, Longshu Yang, Man Zhou, Haoling Xie, Chengjiu Zhang, May D. Wang, Huaiqiu Zhu:
LncADeep: an ab initio lncRNA identification and functional annotation tool based on deep learning. Bioinform. 34(22): 3825-3834 (2018) - [j28]Weiquan Wang, Jingjun (David) Xu, May D. Wang:
Effects of Recommendation Neutrality and Sponsorship Disclosure on Trust vs. Distrust in Online Recommendation Agents: Moderating Role of Explanations for Organic Recommendations. Manag. Sci. 64(11): 5198-5219 (2018) - [j27]Ryan A. Hoffman, Hang Wu, Janani Venugopalan, Paula Braun, May D. Wang:
Intelligent Mortality Reporting With FHIR. IEEE J. Biomed. Health Informatics 22(5): 1583-1588 (2018) - [c119]Ryan A. Hoffman, Janani Venugopalan, Li Qu, Hang Wu, May D. Wang:
Improving Validity of Cause of Death on Death Certificates. BCB 2018: 178-183 - [c118]Adrienne E. Dooley, Li Tong, Shriprasad R. Deshpande, May D. Wang:
Prediction of heart transplant rejection using histopathological whole-slide imaging. BHI 2018: 251-254 - [c117]Li Qu, Huaiqiu Zhu, May D. Wang:
Micro-Inversions In Human Cancer Genomes. EMBC 2018: 1323-1326 - [c116]Mohammed Saqib, Ying Sha, May D. Wang:
Early Prediction of Sepsis in EMR Records Using Traditional ML Techniques and Deep Learning LSTM Networks. EMBC 2018: 4038-4041 - [c115]Hang Wu, May D. Wang:
Variance Regularized Counterfactual Risk Minimization via Variational Divergence Minimization. ICML 2018: 5349-5358 - 2017
- [j26]Po-Yen Wu, Chihwen Cheng, Chanchala D. Kaddi, Janani Venugopalan, Ryan Hoffman, May D. Wang:
-Omic and Electronic Health Record Big Data Analytics for Precision Medicine. IEEE Trans. Biomed. Eng. 64(2): 263-273 (2017) - [j25]Chanchala D. Kaddi, May D. Wang:
Models for Predicting Stage in Head and Neck Squamous Cell Carcinoma Using Proteomic and Transcriptomic Data. IEEE J. Biomed. Health Informatics 21(1): 246-253 (2017) - [c114]Ying Sha, May D. Wang:
Interpretable Predictions of Clinical Outcomes with An Attention-based Recurrent Neural Network. BCB 2017: 233-240 - [c113]Hang Wu, May D. Wang:
Infer Cause of Death for Population Health Using Convolutional Neural Network. BCB 2017: 526-535 - [c112]Li Tong, Ryan Hoffman, Shriprasad R. Deshpande, May D. Wang:
Predicting heart rejection using histopathological whole-slide imaging and deep neural network with dropout. BHI 2017: 1-4 - [c111]Hang Wu, Li Tong, May D. Wang:
Improving multi-class classification for endomicroscopic images by semi-supervised learning. BHI 2017: 5-8 - [c110]Hanyu Jiang, Hang Wu, May Dongmei Wang:
Causes of death in the United States, 1999 to 2014. BHI 2017: 177-180 - [c109]Ryan A. Hoffman, Hang Wu, Janani Venugopalan, Paula Braun, May D. Wang:
Intelligent mortality reporting with FHIR. BHI 2017: 181-184 - [c108]Janani Venugopalan, Russell K. Gore, Tamara Espinoza, David W. Wright, Michelle C. LaPlaca, May D. Wang:
Mining standardized neurological signs and symptoms data for concussion identification. BHI 2017: 285-288 - [c107]Aiswaria S. Nair, Karen DeMuth, Chihwen Cheng, May D. Wang:
Asthma Academy: Developing educational technology to improve Asthma medication adherence and intervention efficiency. EMBC 2017: 1364-1367 - [c106]Janani Venugopalan, Nikhil Chanani, Kevin O. Maher, May D. Wang:
Combination of static and temporal data analysis to predict mortality and readmission in the intensive care. EMBC 2017: 2570-2573 - [c105]Hamid Reza Hassanzadeh, Ying Sha, May D. Wang:
DeepDeath: Learning to predict the underlying cause of death with Big Data. EMBC 2017: 3373-3376 - [c104]