Pritam Mukherjee
Pritam Mukherjee
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Disparities in dermatology AI performance on a diverse, curated clinical image set
R Daneshjou, K Vodrahalli, RA Novoa, M Jenkins, W Liang, V Rotemberg, ...
Science advances 8 (31), eabq6147, 2022
A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets
P Mukherjee, M Zhou, E Lee, A Schicht, Y Balagurunathan, S Napel, ...
Nature machine intelligence 2 (5), 274-282, 2020
Predicting the tumor response to chemoradiotherapy for rectal cancer: model development and external validation using MRI radiomics
P Bulens, A Couwenberg, M Intven, A Debucquoy, V Vandecaveye, ...
Radiotherapy and Oncology 142, 246-252, 2020
Distributed statistical estimation of high-dimensional and nonparametric distributions
Y Han, P Mukherjee, A Ozgur, T Weissman
2018 IEEE International Symposium on Information Theory (ISIT), 506-510, 2018
Secure degrees of freedom of one-hop wireless networks with no eavesdropper CSIT
P Mukherjee, J Xie, S Ulukus
IEEE Transactions on Information Theory 63 (3), 1898-1922, 2016
CT-based radiomic signatures for predicting histopathologic features in head and neck squamous cell carcinoma
P Mukherjee, M Cintra, C Huang, M Zhou, S Zhu, AD Colevas, ...
Radiology: Imaging Cancer 2 (3), e190039, 2020
Secure degrees of freedom region of the two-user MISO broadcast channel with alternating CSIT
P Mukherjee, R Tandon, S Ulukus
IEEE Transactions on Information Theory 63 (6), 3823-3853, 2017
Disparities in dermatology ai: Assessments using diverse clinical images
R Daneshjou, K Vodrahalli, W Liang, RA Novoa, M Jenkins, V Rotemberg, ...
arXiv preprint arXiv:2111.08006, 2021
Secure degrees of freedom of MIMO Rayleigh block fading wiretap channels with no CSI anywhere
TY Liu, P Mukherjee, S Ulukus, SC Lin, YWP Hong
IEEE Transactions on Wireless Communications 14 (5), 2655-2669, 2015
Precision of MRI radiomics features in the liver and hepatocellular carcinoma
G Carbonell, P Kennedy, O Bane, A Kirmani, M El Homsi, D Stocker, ...
European Radiology, 1-11, 2022
Covert bits through queues
P Mukherjee, S Ulukus
2016 IEEE Conference on Communications and Network Security (CNS), 626-630, 2016
Feasibility of using the privacy-preserving large language model Vicuna for labeling radiology reports
P Mukherjee, B Hou, RB Lanfredi, RM Summers
Radiology 309 (1), e231147, 2023
Fading wiretap channel with no CSI anywhere
P Mukherjee, S Ulukus
2013 IEEE International Symposium on Information Theory, 1347-1351, 2013
Structuring clinical text with AI: Old versus new natural language processing techniques evaluated on eight common cardiovascular diseases
X Zhan, M Humbert-Droz, P Mukherjee, O Gevaert
Patterns 2 (7), 2021
Confounding factors need to be accounted for in assessing bias by machine learning algorithms
P Mukherjee, TC Shen, J Liu, T Mathai, O Shafaat, RM Summers
Nature Medicine 28 (6), 1159-1160, 2022
Multimodal deep learning to predict prognosis in adult and pediatric brain tumors
S Steyaert, YL Qiu, Y Zheng, P Mukherjee, H Vogel, O Gevaert
Communications Medicine 3 (1), 44, 2023
Strategies to address the lack of labeled data for supervised machine learning training with electronic health records: case study for the extraction of symptoms from clinical …
M Humbert-Droz, P Mukherjee, O Gevaert
JMIR medical informatics 10 (3), e32903, 2022
Secure degrees of freedom of the multiple access wiretap channel with multiple antennas
P Mukherjee, S Ulukus
IEEE Transactions on Information Theory 64 (3), 2093-2103, 2018
Secrecy in MIMO networks with no eavesdropper CSIT
P Mukherjee, S Ulukus
IEEE Transactions on Communications 65 (10), 4382-4391, 2017
A SPT treatment to the realization of the sign-LMS based adaptive filters
S Choudhary, P Mukherjee, M Chakraborty, SS Rath
IEEE Transactions on Circuits and Systems I: Regular Papers 59 (9), 2025-2033, 2012
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