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Yishan Zhong
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2020 – today
- 2023
- [j2]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) - [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]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 - 2022
- [c3]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 - [c2]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 - [c1]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 - 2021
- [j1]Sourav Chandra, Jinghua Li, Babak Afsharipour, Andres F. Cardona, Nina L. Suresh, Limei Tian, Yujun Deng, Yishan Zhong, Zhaoqian Xie, Haixu Shen, Yonggang Huang, John A. Rogers, William Zev Rymer:
Performance Evaluation of a Wearable Tattoo Electrode Suitable for High-Resolution Surface Electromyogram Recording. IEEE Trans. Biomed. Eng. 68(4): 1389-1398 (2021)
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