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2020 – today
- 2024
- [j42]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) - [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]Ben Junior 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
, Ben Junior 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, Ben Junior 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]Ben Junior 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
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