Pritam Mukherjee


Pritam Mukherjee
Postdoctoral Researcher,
Stanford Center for Biomedical Informatics Research (BMIR),
School of Medicine, Stanford University, Stanford.
Advisor: Olivier Gevaert

Research Interests

  • Biomedical imaging, quantitative imaging, radiomics, bioinformatics, cancer research

  • Electronic health records, temporal predictive modeling

  • Machine learning, deep learning

  • Information theory and statistics

Recent News

May, 2020: Our paper A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets has been published and featured on the cover of Nature Machine Intelligence!

May, 2020: Our paper CT-based Radiomic Signatures for Predicting Histopathologic Features in Head and Neck Squamous Cell Carcinoma has been published in Radiology: Imaging Cancer.

Dec., 2019: My talk at RSNA 2019 was featured in the Daily Bulletin. I also participated in the RSNA On-the-Air program and my radio interview was aired on the Connecticut Radio Network, WTIC-FM and KGO-AM.