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2020 – today
- 2023
[j1]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)- [c7]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 - [c6]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 - [c5]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 - [c4]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 - 2022
- [c3]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 - [c2]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 - [c1]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
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