基本信息
views: 226
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
Bio
My research is at the intersection of medical vision (medical image analysis), machine learning, and bioinformatics. I develop algorithms to analyze and understand medical images, genetic data, and other electrical health records, such as clinical reports. The main themes of research in my lab are about the main challenges of AI in healthcare: (1) Explainability, (2) Data Efficiency, (3) Multimodal Data Fusion, and Causality. My lab works on Alzheimer’s, Chronic Obstructive Pulmonary Disease (COPD), and Non-Alcoholic Fatty Liver Disease (NAFLD) projects. Our research is supported by funding from NIH, NSF, and industry awards. I am co-founder of MLxMed, a multi-campus online similar series focusing on ML methods specifically for healthcare applications. I am co-founder of READE.ai, a start-up about the Realtime Evaluation of Adverse Events during surgery.
Research Interests
Papers共 101 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
MEDICAL IMAGE ANALYSIS (2024): 103062-103062
Yanwu Xu,Li Sun,Wei Peng, Shuyue Jia,Katelyn Morrison, Adam Perer, Afrooz Zandifar,Shyam Visweswaran,Motahhare Eslami,Kayhan Batmanghelich
IEEE transactions on medical imagingno. 99 (2024): 1-1
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science (2024): 613-622
Cited0Views0WOSBibtex
0
0
CoRR (2024)
Cited0Views0EIBibtex
0
0
medRxiv : the preprint server for health sciences (2024)
Shyam Visweswaran, Katherine C. Du,Vinay Pedapati,Amir I. Mina,Allison M. Bradley, Jessi U. Espino,Kayhan Batmanghelich,Parthasarathy D. Thirumala
Machine Learning Applications in Medicine and Biologypp.43-64, (2024)
Studies in health technology and informatics (2024): 274-278
ICLR 2023 (2023)
Cited0Views0EIBibtex
0
0
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn