Pritam Mukherjee

Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports

Pritam Mukherjee, Benjamin Hou, Ricardo Bigolin Lanfredi et al. · Radiology · 2023 · 99 citations · Full text

A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets

Pritam Mukherjee, Mu Zhou, Edward Lee et al. · Nature Machine Intelligence · 2020 · 96 citations · Full text

Convolutional Neural Network, Image Analysis, Machine Learning +13

Predicting the tumor response to chemoradiotherapy for rectal cancer: Model development and external validation using MRI radiomics

P. Bulens, Alice M. Couwenberg, Martijn Intven et al. · Radiotherapy and Oncology · 2019 · 86 citations · Full text

Tumor Response, External Validation, Mri Radiomics +12

Multimodal deep learning to predict prognosis in adult and pediatric brain tumors

Sandra Steyaert, Yeping Lina Qiu, Yuanning Zheng et al. · Communications Medicine · 2023 · 79 citations · Full text

CT-based Radiomic Signatures for Predicting Histopathologic Features in Head and Neck Squamous Cell Carcinoma

Pritam Mukherjee, Murilo Bicudo Cintra, Chao Huang et al. · Radiology Imaging Cancer · 2020 · 71 citations · Full text