Fun fact - Dogs can’t go through MRI’s. But cat scan!
Check my most recent CV here.
Our study Evaluation of Federated Learning Variations for COVID-19 Diagnosis Using Chest Radiographs from 42 US and European Hospitals accepted to Journal of the American Medical Informatics Association (JAMIA)!
Here is a Cisco blog and my exit presentation for my internship at Cisco Research working on Federated Learning.
One co-author paper SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data accepted to ACM SIGKDD 2022!
I will be joining University of Pennsylvania to pursue a Ph.D. in Computer and Information Science with Prof. Mingmin Zhao!
A co-author paper Pixel Color Averages by Race in Chest X-Ray submitted to MICCAI 2022.
Obtained my B.S. degree with high distinction from the University of Minnesota!
Our rib fracture classification work was accepted to NCRC 2022.
One co-author paper Rethink Transfer Learning in Medical Image Classification (submitted to AAAI 2022) released on arXiv.
Accepted to CS Research Mentorship Program (CSRMP) at Google Research!
Our Federated Learning use case was highlighted in Nvidia Clara White Paper.
Rethink Transfer Learning in Medical Imaging Tasks