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May D. Wang
May Dongmei Wang
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2020 – today
- 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) - 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 H. 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]Hamid Reza Hassanzadeh, Pushkar Kolhe, Charles L. Isbell Jr., May D. Wang
:
MotifMark: Finding regulatory motifs in DNA sequences. EMBC 2017: 3890-3893 - [c103]Wenjun Wu, Janani Venugopalan, May D. Wang
:
11C-PIB PET image analysis for Alzheimer's diagnosis using weighted voting ensembles. EMBC 2017: 3914-3917 - [i5]Hamid Reza Hassanzadeh, Pushkar Kolhe, Charles L. Isbell Jr., May D. Wang:
MotifMark: Finding Regulatory Motifs in DNA Sequences. CoRR abs/1705.03321 (2017) - [i4]Hamid Reza Hassanzadeh, Ying Sha, May D. Wang:
DeepDeath: Learning to Predict the Underlying Cause of Death with Big Data. CoRR abs/1705.03508 (2017) - 2016
- [j24]Metin Akay, Gouenou Coatrieux, Yang Hao
, Dimitrios I. Fotiadis, Andrew Laine, Benny P. L. Lo
, Konstantina S. Nikita
, Norbert Noury, Joel J. P. C. Rodrigues
, May D. Wang
:
Guest Editorial: MobiHealth 2014, IEEE HealthCom 2014, and IEEE BHI 2014. IEEE J. Biomed. Health Informatics 20(3): 731-732 (2016) - [c102]Chihwen Cheng, Ying Sha, May D. Wang
:
InterVisAR: An Interactive Visualization for Association Rule Search. BCB 2016: 175-184 - [c101]Ying Sha, Janani Venugopalan, May D. Wang
:
A Novel Temporal Similarity Measure for Patients Based on Irregularly Measured Data in Electronic Health Records. BCB 2016: 337-344 - [c100]Li Tong, Cheng Yang, Po-Yen Wu, May D. Wang
:
Evaluating the impact of sequencing error correction for RNA-seq data with ERCC RNA spike-in controls. BHI 2016: 74-77 - [c99]Po-Yen Wu, May D. Wang
:
The selection of quantification pipelines for Illumina RNA-seq data using a subsampling approach. BHI 2016: 78-81 - [c98]Theruni Pethiyagoda, Nikhil Chanani, Chihwen Cheng, May D. Wang
:
PEPCOR - A risk prediction model for pediatric intensive care units utilizing ventilator days and length of stay. BHI 2016: 86-89 - [c97]Sonal Kothari, Hang Wu, Li Tong, Kevin E. Woods, May D. Wang
:
Automated risk prediction for esophageal optical endomicroscopic images. BHI 2016: 160-163 - [c96]Inez Raharjo, Thomas G. Burns, Janani Venugopalan, May D. Wang
:
Development of user-friendly and interactive data collection system for cerebral palsy. BHI 2016: 406-409 - [c95]John H. Phan, Ryan Hoffman
, Sonal Kothari, Po-Yen Wu, May D. Wang
:
Integration of multi-modal biomedical data to predict cancer grade and patient survival. BHI 2016: 577-580 - [c94]Hamid Reza Hassanzadeh, May D. Wang
:
DeeperBind: Enhancing prediction of sequence specificities of DNA binding proteins. BIBM 2016: 178-183 - [c93]Hamid Reza Hassanzadeh, John H. Phan, May D. Wang
:
A multi-modal graph-based semi-supervised pipeline for predicting cancer survival. BIBM 2016: 184-189 - [c92]Sameer Mishra, Chanchala D. Kaddi, May D. Wang
:
Pan-cancer analysis for studying cancer stage using protein and gene expression data. EMBC 2016: 2440-2443 - [c91]Chihwen Cheng, Hang Wu, Pamela J. Thompson, Julie R. Taylor, Barbara A. Zehnbauer, Karlyn K. Wilson, May D. Wang
:
Anticoagulation manager: Development of a clinical decision support mobile application for management of anticoagulants. EMBC 2016: 2582-2585 - [c90]Hang Wu, May D. Wang
:
Multi-view non-negative tensor factorization as relation learning in healthcare data. EMBC 2016: 3325-3328 - [i3]Hamid Reza Hassanzadeh, John H. Phan, May D. Wang:
A Multi-Modal Graph-Based Semi-Supervised Pipeline for Predicting Cancer Survival. CoRR abs/1611.05751 (2016) - [i2]Hamid Reza Hassanzadeh, May D. Wang:
DeeperBind: Enhancing Prediction of Sequence Specificities of DNA Binding Proteins. CoRR abs/1611.05777 (2016) - 2015
- [j23]Konstantia Zarkogianni, Eleni Litsa, Konstantinos Mitsis, Po-Yen Wu, Chanchala D. Kaddi, Chihwen Cheng, May D. Wang
, Konstantina S. Nikita
:
A Review of Emerging Technologies for the Management of Diabetes Mellitus. IEEE Trans. Biomed. Eng. 62(12): 2735-2749 (2015) - [j22]Walter G. Besio, Leslie Ying
, Jie Liang
, Nigel H. Lovell
, Carmen C. Y. Poon, May D. Wang
:
Guest Editorial EMBC 2014. IEEE J. Biomed. Health Informatics 19(4): 1291-1292 (2015) - [c89]Chihwen Cheng, May D. Wang
:
Improving personalized clinical risk prediction based on causality-based association rules. BCB 2015: 386-392 - [c88]Chanchala D. Kaddi, May D. Wang
:
Developing robust predictive models for head and neck cancer across microarray and RNA-seq data. BCB 2015: 393-402 - [c87]Cheng Yang, Po-Yen Wu, Li Tong, John H. Phan, May D. Wang
:
The impact of RNA-seq aligners on gene expression estimation. BCB 2015: 462-471 - [c86]Matt Schwartz, Martin Park, John H. Phan, May D. Wang
:
Integration of multimodal RNA-seq data for prediction of kidney cancer survival. BIBM 2015: 1591-1595 - [c85]May D. Wang:
Biomedical Big Data Analytics for Patient-Centric and Outcome-Driven Precision Health. COMPSAC Workshops 2015: 1-2 - [c84]Hamid Reza Hassanzadeh, John H. Phan, May D. Wang
:
A semi-supervised method for predicting cancer survival using incomplete clinical data. EMBC 2015: 210-213 - [c83]Hang Wu, John H. Phan, Ajay K. Bhatia, Caitlin A. Cundiff, Bahig M. Shehata, May D. Wang
:
Detection of blur artifacts in histopathological whole-slide images of endomyocardial biopsies. EMBC 2015: 727-730 - [c82]Ying Sha, John H. Phan, May D. Wang
:
Effect of low-expression gene filtering on detection of differentially expressed genes in RNA-seq data. EMBC 2015: 6461-6464 - [c81]Hang Wu, Chihwen Cheng, Xiaoning Han, Yong Huo, Wenhui Ding, May D. Wang
:
Post-surgical complication prediction in the presence of low-rank missing data. EMBC 2015: 6808-6811 - [c80]Sameer Mishra, Chanchala D. Kaddi, May D. Wang
:
Pan-cancer analysis for studying cancer stage using protein expression data. EMBC 2015: 8189-8192 - [i1]Hamid Reza Hassanzadeh, John H. Phan, May D. Wang:
A Semi-Supervised Method for Predicting Cancer Survival Using Incomplete Clinical Data. CoRR abs/1509.08888 (2015) - 2014
- [j21]Manolis Tsiknakis
, Vasilis J. Promponas
, Norbert M. Graf
, May D. Wang
, Stephen T. C. Wong, Nikolaos G. Bourbakis, Constantinos S. Pattichis
:
Guest Editorial: Computational Solutions to Large-Scale Data Management and Analysis in Translational and Personalized Medicine. IEEE J. Biomed. Health Informatics 18(3): 720-721 (2014) - [j20]Sonal Kothari, John H. Phan, Todd H. Stokes, Adeboye O. Osunkoya, Andrew N. Young, May D. Wang
:
Removing Batch Effects From Histopathological Images for Enhanced Cancer Diagnosis. IEEE J. Biomed. Health Informatics 18(3): 765-772 (2014) - [c79]Chihwen Cheng, Nikhil Chanani, Kevin O. Maher, May D. Wang
:
icuARM-II: improving the reliability of personalized risk prediction in pediatric intensive care units. BCB 2014: 211-219 - [c78]Janani Venugopalan, Chihwen Cheng, May D. Wang
:
MotionTalk: personalized home rehabilitation system for assisting patients with impaired mobility. BCB 2014: 455-463 - [c77]John H. Phan, Sonal Kothari, May D. Wang
:
omniClassifier: a desktop grid computing system for big data prediction modeling. BCB 2014: 514-523 - [c76]Ryan A. Hoffman
, Sonal Kothari, May D. Wang
:
Comparison of normalization algorithms for cross-batch color segmentation of histopathological images. EMBC 2014: 194-197 - [c75]