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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]