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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]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]Nishant Zachariah, Sonal Kothari, Senthil Ramamurthy, Adeboye O. Osunkoya, May D. Wang:
Evaluation of performance metrics for histopathological image classifier optimization. EMBC 2014: 1933-1936 - [c74]Sanaiya Sarkari, Chanchala D. Kaddi, Rachel V. Bennett, Facundo M. Fernández, May D. Wang:
Comparison of clustering pipelines for the analysis of mass spectrometry imaging data. EMBC 2014: 4771-4774 - [c73]Chanchala D. Kaddi, May D. Wang:
Models for predicting stage in head and neck squamous cell carcinoma using proteomic data. EMBC 2014: 5216-5219 - [c72]Sahar Harati, John H. Phan, May D. Wang:
Investigation of factors affecting RNA-seq gene expression calls. EMBC 2014: 5232-5235 - [c71]Andrew Champion, Guolan Lu, Marcus Walker, Sonal Kothari, Adeboye O. Osunkoya, May D. Wang:
Semantic interpretation of robust imaging features for Fuhrman grading of renal carcinoma. EMBC 2014: 6446-6449 - [c70]Jiacheng Ren, Janani Venugopalan, Jian Xu, Brad A. Kairdolf, Robert Durfee, May D. Wang:
Multi-channel LED light source for fluorescent agent aided minimally invasive surgery. EMBC 2014: 6927-6930 - [c69]Cheng Yang, Po-Yen Wu, John H. Phan, May D. Wang:
The impact of RNA-seq alignment pipeline on detection of differentially expressed genes. GlobalSIP 2014: 1376-1379 - 2013
- [j19]R. Mitchell Parry, May D. Wang:
A fast least-squares algorithm for population inference. BMC Bioinform. 14: 28 (2013) - [j18]Po-Yen Wu, John H. Phan, May D. Wang:
Assessing the impact of human genome annotation choice on RNA-seq expression estimates. BMC Bioinform. 14(S-11): S8 (2013) - [j17]Sonal Kothari, John H. Phan, Andrew N. Young, May D. Wang:
Histological image classification using biologically interpretable shape-based features. BMC Medical Imaging 13: 9 (2013) - [j16]William Hsu, Mia K. Markey, May D. Wang:
Biomedical imaging informatics in the era of precision medicine: progress, challenges, and opportunities. J. Am. Medical Informatics Assoc. 20(6): 1010-1013 (2013) - [j15]Sonal Kothari, John H. Phan, Todd H. Stokes, May D. Wang:
Review: Pathology imaging informatics for quantitative analysis of whole-slide images. J. Am. Medical Informatics Assoc. 20(6): 1099-1108 (2013) - [j14]Carmen C. Y. Poon, May D. Wang, Paolo Bonato, David A. Fenstermacher:
Editorial: Special Issue on Health Informatics and Personalized Medicine. IEEE Trans. Biomed. Eng. 60(1): 143-146 (2013) - [j13]Bin He, Richard Baird, Robert J. Butera, Aniruddha Datta, Steven George, Bruce Hecht, Alfred O. Hero III, Gianluca Lazzi, Raphael C. Lee, Jie Liang, Michael R. Neuman, Grace C. Y. Peng, Eric J. Perreault, Melur Ramasubramanian, May D. Wang, John P. Wikswo, Guang-Zhong Yang, Yuan-Ting Zhang:
Grand Challenges in Interfacing Engineering With Life Sciences and Medicine. IEEE Trans. Biomed. Eng. 60(3): 589-598 (2013) - [j12]John H. Phan, Andrew N. Young, May Dongmei Wang:
omniBiomarker: A Web-Based Application for Knowledge-Driven Biomarker Identification. IEEE Trans. Biomed. Eng. 60(12): 3364-3367 (2013) - [j11]Chanchala Kaddi, R. Mitchell Parry, May D. Wang:
Multivariate Hypergeometric Similarity Measure. IEEE ACM Trans. Comput. Biol. Bioinform. 10(6): 1505-1516 (2013) - [c68]Raghu Chandramohan, Po-Yen Wu, John H. Phan, May D. Wang:
Systematic Assessment of RNA-Seq Quantification Tools Using Simulated Sequence Data. BCB 2013: 623 - [c67]Anjaly Poruthoor, John H. Phan, Sonal Kothari, May D. Wang:
Exploration of genomic, proteomic, and histopathological image data integration methods for clinical prediction. ChinaSIP 2013: 259-263 - [c66]Raghu Chandramohan, Po-Yen Wu, John H. Phan, May D. Wang:
Benchmarking RNA-Seq quantification tools. EMBC 2013: 647-650 - [c65]Chihwen Cheng, R. Clark Brown, Lindsey L. Cohen, Janani Venugopalan, Todd H. Stokes, May D. Wang:
iACT - An interactive mHealth monitoring system to enhance psychotherapy for adolescents with sickle cell disease. EMBC 2013: 2279-2282 - [c64]Todd H. Stokes, Janani Venugopalan, Elena N. Hubbard, May D. Wang:
A pilot biomedical engineering course in rapid prototyping for mobile health. EMBC 2013: 2515-2518 - [c63]Elena N. Hubbard, Todd H. Stokes, Brad A. Kairdolf, Jonathan Tran, May D. Wang:
Unmixing of spectrally similar quantum dots using filter selection. EMBC 2013: 3012-3015 - [c62]Janani Venugopalan, Chihwen Cheng, Todd H. Stokes, May D. Wang:
Kinect-based rehabilitation system for patients with traumatic brain injury. EMBC 2013: 4625-4628 - [c61]Po-Yen Wu, John H. Phan, May D. Wang:
An approach for assessing RNA-seq quantification algorithms in replication studies. GENSiPS 2013: 15-18 - [c60]Chihwen Cheng, Thomas G. Burns, May D. Wang:
Mining Association Rules for Neurobehavioral and Motor Disorders in Children Diagnosed with Cerebral Palsy. ICHI 2013: 258-263 - [c59]Janani Venugopalan, Chihwen Cheng, May D. Wang:
Cloud-based integrative solution for personalized pain management. Wireless Health 2013: 21:1-21:2 - 2012
- [j10]Chang F. Quo, Chanchala Kaddi, John H. Phan, Amin Zollanvari, Mingqing Xu, May D. Wang, Gil Alterovitz:
Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities. Briefings Bioinform. 13(4): 430-445 (2012) - [j9]R. Mitchell Parry, John H. Phan, May D. Wang:
Win percentage: a novel measure for assessing the suitability of machine classifiers for biological problems. BMC Bioinform. 13(S-3): S7 (2012) - [j8]Koon Yin Kong, Adam I. Marcus, Paraskevi Giannakakou, May Dongmei Wang:
Integrating image analysis algorithms in a web interface for the quantification of microtubule dynamics. Int. J. Comput. Biol. Drug Des. 5(3/4): 298-313 (2012) - [j7]John H. Phan, Chang F. Quo, May Dongmei Wang:
Cardiovascular Genomics: A Biomarker Identification Pipeline. IEEE Trans. Inf. Technol. Biomed. 16(5): 809-822 (2012) - [c58]Sonal Kothari, Adeboye O. Osunkoya, John H. Phan, May D. Wang:
Biological interpretation of morphological patterns in histopathological whole-slide images. BCB 2012: 218-225 - [c57]Chanchala Kaddi, R. Mitchell Parry, May D. Wang:
Multivariate hypergeometric similarity measure. BCB 2012: 234-241 - [c56]Chihwen Cheng, Clark Brown, Tamara New, Todd H. Stokes, Carlton Dampier, May D. Wang:
SickleREMOTE: A two-way text messaging system for pediatric sickle cell disease patients. BHI 2012: 408-411 - [c55]Po-Yen Wu, John H. Phan, May D. Wang:
The effect of human genome annotation complexity on RNA-Seq gene expression quantification. BIBM Workshops 2012: 712-717 - [c54]Janani Venugopalan, Clark Brown, Chihwen Cheng, Todd H. Stokes, May D. Wang:
Activity and school attendance monitoring system for adolescents with Sickle cell disease. EMBC 2012: 2456-2459 - [c53]Sonal Kothari, John H. Phan, May D. Wang:
Scale normalization of histopathological images for batch invariant cancer diagnostic models. EMBC 2012: 4406-4409 - [c52]Jonathan K. Tran, Elena N. Hubbard, Todd H. Stokes, Richard A. Moffitt, May D. Wang:
Feasibility of multiplex quantum dot stain using primary antibodies from four distinct host animals. EMBC 2012: 6576-6579 - [c51]John H. Phan, Po-Yen Wu, May D. Wang:
Improving the flexibility of RNA-Seq data analysis pipelines. GENSiPS 2012: 70-73 - [c50]Qaiser Chaudry, Yachna Sharma, Syed Hussain Raza, May D. Wang:
Development of a novel 2D color map for interactive segmentation of histological images. ISBI 2012: 178-181 - 2011
- [j6]Richard A. Moffitt, Qiqin Yin-Goen, Todd H. Stokes, R. Mitchell Parry, James H. Torrance, John H. Phan, Andrew N. Young, May D. Wang:
caCORRECT2: Improving the accuracy and reliability of microarray data in the presence of artifacts. BMC Bioinform. 12: 383 (2011) - [j5]Chang F. Quo, Richard A. Moffitt, Alfred H. Merrill Jr., May D. Wang:
Adaptive Control Model Reveals Systematic Feedback and Key Molecules in Metabolic Pathway Regulation. J. Comput. Biol. 18(2): 169-182 (2011) - [c49]R. Mitchell Parry, John H. Phan, May D. Wang:
Win percentage: a novel measure for assessing the suitability of machine classifiers for biological problems. BCB 2011: 29-38 - [c48]Todd H. Stokes, Richard A. Moffitt, May D. Wang:
SecureMed-ID: memorable and private identifiers for off-site access to medical records. BCB 2011: 541-543 - [c47]Po-Yen Wu, John H. Phan, Fengfeng Zhou, May D. Wang:
Evaluation of normalization methods for RNA-Seq gene expression estimation. BIBM Workshops 2011: 50-57 - [c46]Koon Yin Kong, Adam I. Marcus, Paraskevi Giannakakou, May D. Wang:
A web interface for the quantification of microtubule dynamics. BIBM Workshops 2011: 209-214 - [c45]Chang F. Quo, May D. Wang:
Biological Interpretation of Model-Reference Adaptive Control in a Mass Action Kinetics Metabolic Pathway Model. BIBM 2011: 265-268 - [c44]Sonal Kothari, John H. Phan, Andrew N. Young, May D. Wang:
Histological Image Feature Mining Reveals Emergent Diagnostic Properties for Renal Cancer. BIBM 2011: 422-425 - [c43]Chanchala Kaddi, R. Mitchell Parry, May D. Wang:
Hypergeometric Similarity Measure for Spatial Analysis in Tissue Imaging Mass Spectrometry. BIBM 2011: 604-607 - [c42]Alexandre J. Pierrot, Eduardo E. Pujol, Yachna Sharma, May D. Wang:
Autonomous point-based registration of prostate gland tissue images. BMEI 2011: 165-169 - [c41]Chihwen Cheng, Todd H. Stokes, May D. Wang:
caREMOTE: The design of a cancer reporting and monitoring telemedicine system for domestic care. EMBC 2011: 3168-3171 - [c40]Po-Yen Wu, John H. Phan, May D. Wang:
Exploring the feasibility of next-generation sequencing and microarray data meta-analysis. EMBC 2011: 7618-7621 - [c39]Sonal Kothari, John H. Phan, Richard A. Moffitt, Todd H. Stokes, Shelby E. Hassberger, Qaiser Chaudry, Andrew N. Young, May D. Wang:
Automatic batch-invariant color segmentation of histological cancer images. ISBI 2011: 657-660 - [c38]S. Hussain Raza, R. Mitchell Parry, Richard A. Moffitt, Andrew N. Young, May D. Wang:
An Analysis of Scale and Rotation Invariance in the Bag-of-Features Method for Histopathological Image Classification. MICCAI (3) 2011: 66-74 - [c37]Todd H. Stokes, Erika S. Poole, Christopher P. Bonafide, Alain B. Labrique, James H. Willig, Chihwen Cheng, May D. Wang:
Chronic Care Continuum (C3): mobile-ready life skills training for adolescents with chronic diseases. mHealthSys@SenSys 2011: 8:1-8:2 - 2010
- [c36]Chihwen Cheng, Todd H. Stokes, Sovandy Hang, May D. Wang:
TissueWikiMobile: An integrative protein expression image browser for pathological knowledge sharing and annotation on a mobile device. BIBM Workshops 2010: 473-480 - [c35]Jaydeep K. Srimani, Po-Yen Wu, John H. Phan, May D. Wang:
A distributed system for fast alignment of next-generation sequencing data. BIBM Workshops 2010: 579-584 - [c34]May D. Wang, Benjamin P.-C. Yen:
The Effects of Website Personalization on User Intention to Return through Cognitive Beliefs and Affective Reactions. PACIS 2010: 155
2000 – 2009
- 2009
- [j4]Qaiser Chaudry, Syed Hussain Raza, Andrew N. Young, May D. Wang:
Automated Renal Cell Carcinoma Subtype Classification Using Morphological, Textural and Wavelets Based Features. J. Signal Process. Syst. 55(1-3): 15-23 (2009) - [c33]Qaiser Chaudry, S. Hussain Raza, Jeonggyu Lee, Yan Xu, Mark Wulkan, May D. Wang:
Development of a High Resolution 3D Infant Stomach Model for Surgical Planning. CAIP 2009: 614-621 - [c32]Sonal Kothari, Qaiser Chaudry, May D. Wang:
Automated Cell Counting and Cluster Segmentation Using Concavity Detection and Ellipse Fitting Techniques. ISBI 2009: 795-798 - [c31]John H. Phan, Qiqin Yin-Goen, Andrew N. Young, May D. Wang:
Improving the Efficiency of Biomarker Identification Using Biological Knowledge. Pacific Symposium on Biocomputing 2009: 427-438 - 2008
- [j3]Chang F. Quo, May D. Wang:
Quantitative analysis of numerical solvers for oscillatory biomolecular system models. BMC Bioinform. 9(S-6) (2008) - [j2]Todd H. Stokes, J. T. Torrance, Henry Li, May D. Wang:
ArrayWiki: an enabling technology for sharing public microarray data repositories and meta-analyses. BMC Bioinform. 9(S-6) (2008) - [c30]Qaiser Chaudry, S. Hussain Raza, Yachna Sharma, Andrew N. Young, May D. Wang:
Improving renal cell carcinoma classification by automatic region of interest selection. BIBE 2008: 1-6 - [c29]Koon Yin Kong, Yachna Sharma, S. Hussain Raza, Zhuo Chen, Susan Muller, May D. Wang:
Using spiral intensity profile to quantify head and neck cancer. BIBE 2008: 1-6 - [c28]Peter W. Siy, Richard A. Moffitt, R. Mitchell Parry, Yanfeng Chen, Ying Liu, M. Cameron Sullards, Alfred H. Merrill, May D. Wang:
Matrix factorization techniques for analysis of imaging mass spectrometry data. BIBE 2008: 1-6 - [c27]John H. Phan, Richard A. Moffitt, Andrea B. Barrett, May D. Wang:
Improving Microarray Sample Size Using Bootstrap Data Combination. IMSCCS 2008: 37-44 - 2007
- [j1]Benjamin P.-C. Yen, Paul Jen-Hwa Hu, May D. Wang:
Toward an analytical approach for effective Web site design: A framework for modeling, evaluation and enhancement. Electron. Commer. Res. Appl. 6(2): 159-170 (2007) - [c26]John H. Phan, May D. Wang:
Estimating Classification Error to Identify Biomarkers in Time Series Expression Data. BIBE 2007: 172-179 - [c25]Melissa Freedenberg, Chanchala Kaddi, Chang F. Quo, May D. Wang:
Review of Systems Biology Simulation Tools for Translational Research. BIBE 2007: 358-365 - [c24]E. R. Muir, I. J. Ndiour, N. A. LeGoasduff, Richard A. Moffitt, Ying Liu, M. Cameron Sullards, Alfred H. Merrill, Yanfeng Chen, May D. Wang:
Multivariate Analysis of Imaging Mass Spectrometry Data. BIBE 2007: 472-479 - [c23]Christopher Alberti, Jean-Philippe Villaréal, Delano Billingsley, Koon Yin Kong, Adam I. Marcus, Paraskevi Giannakakou, May D. Wang:
Microtubule Dynamics Classification Using a Statistical Model of the Movement of Outer Tips. BIBE 2007: 495-502 - [c22]Sohaib Waheed, Richard A. Moffitt, Qaiser Chaudry, Andrew N. Young, May D. Wang:
Computer Aided Histopathological Classification of Cancer Subtypes. BIBE 2007: 503-508 - [c21]John H. Phan, Richard A. Moffitt, Todd H. Stokes, May D. Wang:
Evolving Biological Behavior in Gene-Based Cellular Simulations. BIBE 2007: 509-516 - [c20]Eric Jakobsson, May D. Wang, Linda K. Molnar:
Bio-Nano-Info Integration for Personalized Medicine. BIBE 2007: 1452 - [c19]Koon Yin Kong, Adam I. Marcus, Paraskevi Giannakakou, May D. Wang:
Using Particle Filter to Track and Model Microtubule Dynamics. ICIP (5) 2007: 517-520 - [c18]Chang F. Quo, May D. Wang:
Quantitative Comparison of Numerical Solvers for Models of Oscillatory Biochemical Systems. IMSCCS 2007: 44 - [c17]Todd H. Stokes, J. T. Torrance, Nolwenn Le Goasduff, Henry Li, May D. Wang:
ArrayWiki: Liberating Microarray Data from Non-collaborative Public Repositories. IMSCCS 2007: 92-99 - [c16]Qaiser Chaudry, Koon Yin Kong, Thomas U. Ahearn, Vaunita Cohen, Roberd M. Bostick, May D. Wang:
An Integrated Image Quantification System for Colorectal Cancer Risk Assessment Using Quantum Dots and Molecular Profiling. ISBI 2007: 1280-1283 - [c15]May D. Wang, Benjamin P.-C. Yen:
Relational Study of Information Technology and Production Management: - The Case of Closer Economic Partnership Arrangement (CEPA) between Mainland China and Hong Kong. PACIS 2007: 10 - [c14]May D. Wang, Benjamin P.-C. Yen:
Web Structure Reorganization to Improve Web Navigation Efficiency. PACIS 2007: 46 - 2006
- [c13]Roberd M. Bostick, Koon Yin Kong, Thomas U. Ahearn, Qaiser Chaudry, Vaunita Cohen, May D. Wang:
Detecting and Quantifying Biomarkers of Risk for Colorectal Cancer Using Quantum Dots and Novel Image Analysis Algorithms. EMBC 2006: 3313-3316 - [c12]John H. Phan, Andrew N. Young, May D. Wang:
Selecting Clinically-Driven Biomarkers for Cancer Nanotechnology. EMBC 2006: 3317-3320 - [c11]Koon Yin Kong, Adam I. Marcus, Jin Young Hong, Paraskevi Giannakakou, May D. Wang:
Automatic Microtubule Tracking for QD-Based In Vivo Cell Imaging and Drug Efficacy Study. EMBC 2006: 3321-3324 - [c10]Todd H. Stokes, John H. Phan, Chang F. Quo, Shuming Nie, May D. Wang:
Bio-Nano-Informatics: An Integrated Information Management System for Personalized Oncology. EMBC 2006: 3325-3328 - [c9]Koon Yin Kong, Adam I. Marcus, Jin Young Hong, Paraskevi Giannakakou, May D. Wang:
Ceulular Imaging Data Analysis: Mircotubule Dynamics in Living Cell. ICIP 2006: 2545-2548 - 2005
- [c8]Benjamin P.-C. Yen, Paul Jen-Hwa Hu, May D. Wang:
Towards Effective Web Site Designs: A Framework for Modeling, Design Evaluation and Enhancement. EEE 2005: 716-721 - [c7]Benjamin P.-C. Yen, Paul Jen-Hwa Hu, May D. Wang:
Towards Analytical Approach to Effective Website Designs: A Framework for Modeling, Evaluation and Enhancement. PACIS 2005: 78 - 2004
- [c6]John H. Phan, Chang F. Quo, Kejiao Guo, Weimin Feng, Geoffrey Wang, May D. Wang:
Development of a Knowledge-Based Multi-Scheme Cancer Microarray Data Analysis System. CSB 2004: 474-475 - [c5]Weimin Feng, Gaurav Tuteja, May D. Wang:
EGOMinor: A Genomics and Proteomics Data Computation and Interpretation System for Biomedical Applications. CSB 2004: 562-563 - [c4]Jin Young Hong, May D. Wang:
High speed processing of biomedical images using programmable gpu. ICIP 2004: 2455-2458 - 2003
- [c3]Weimin Feng, Geoffrey Wang, Barry Zeeberg, Kejiao Guo, Anthony T. Fojo, David W. Kane, William C. Reinhold, Samir Lababidi, John N. Weinstein, May D. Wang:
Development of Gene Ontology Tool for Biological Interpretation of Genomic and Proteomic Data. AMIA 2003 - [c2]Geoffrey Wang, May D. Wang:
Development of A Biomedical Imaging Informatics System for Diagnosis and Treatment Planning. AMIA 2003 - [c1]Abhirup Patra, May D. Wang:
Volumetric Medical Image Compression and Reconstruction for Interactive Visualization in Surgical Planning. DCC 2003: 442
Coauthor Index
Ryan Hoffman
aka: Ryan A. Hoffman
aka: Ryan A. Hoffman
Chanchala Kaddi
aka: Chanchala D. Kaddi
aka: Chanchala D. Kaddi
Benoit Marteau
aka: Benoit Louis Marteau
aka: Benoit Louis Marteau
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