Pritam Mukherjee

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Olivier GevaertStanford UniversityEmail yang diverifikasi di stanford.edu
Ronald M. Summers, MD, PhDNational Institutes of Health Clinical CenterEmail yang diverifikasi di nih.gov
Sennur UlukusProfessor of Electrical and Computer Engineering, University of MarylandEmail yang diverifikasi di umd.edu
Tejas Sudharshan MathaiStaff Scientist, NIHEmail yang diverifikasi di nih.gov
Ravi TandonAssociate Professor of ECE, University of ArizonaEmail yang diverifikasi di arizona.edu
Sandy NapelProfessor of Radiology, Stanford UniversityEmail yang diverifikasi di stanford.edu
Roxana Daneshjou, MD, PhDAssistant Professor of Biomedical Data Science and Dermatology, Stanford UniversityEmail yang diverifikasi di stanford.edu
Mu ZhouStanford University; Rutgers UniversityEmail yang diverifikasi di stanford.edu
Marie Humbert-DrozStanford Center for Biomedical Informatics ResearchEmail yang diverifikasi di stanford.edu
Vincent VandecaveyeAssociate professor, Radiology UZ Leuven, Imaging and pathology KU LeuvenEmail yang diverifikasi di uzleuven.be
Annelies DebucquoyKULeuven Department of OncologyEmail yang diverifikasi di med.kuleuven.be
Sunav ChoudharySenior Research Scientist, Adobe ResearchEmail yang diverifikasi di adobe.com
Mrityunjoy Chakraborty (Latest)Professor, E & ECE, IIT, KharagpurEmail yang diverifikasi di ece.iitkgp.ernet.in
Robert GilliesChair of Cancer Physiology, H. Lee Moffitt Cancer CenterEmail yang diverifikasi di moffitt.org
Yoganand (Yoga) BalagurunathanMoffitt Cancer CenterEmail yang diverifikasi di moffitt.org
Veysel KocamanLeiden UniversityEmail yang diverifikasi di liacs.leidenuniv.nl
Colby HamPacific Northwest National LaboratoryEmail yang diverifikasi di pnnl.gov
Suzanne R. TamangStanford University School of MedicineEmail yang diverifikasi di stanford.edu
Xianghao ZhanStanford University, Samsung Research America, Zhejiang UniversityEmail yang diverifikasi di stanford.edu
Yao-Win Peter HongNational Tsing Hua UniversityEmail yang diverifikasi di ee.nthu.edu.tw

Ikuti

Pritam Mukherjee

National Institutes of Health Clinical Center

Email yang diverifikasi di nih.gov

machine learning for healthcare medical imaging


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	246	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	99	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	85	2020
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	59	2023
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	58	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	55	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	45	2016
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	43	2021
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	43	2017
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	42	2023
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	39	2022
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	31	2015
Covert bits through queues P Mukherjee, S Ulukus 2016 IEEE Conference on Communications and Network Security (CNS), 626-630, 2016	27	2016
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	26	2021
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	25	2022
Fading wiretap channel with no CSI anywhere P Mukherjee, S Ulukus 2013 IEEE International Symposium on Information Theory, 1347-1351, 2013	22	2013
Utilizing longitudinal chest x-rays and reports to pre-fill radiology reports Q Zhu, TS Mathai, P Mukherjee, Y Peng, RM Summers, Z Lu International Conference on Medical Image Computing and Computer-Assisted …, 2023	21	2023
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	21	2022
Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction R Vandaele, P Mukherjee, HM Selby, RP Shah, O Gevaert Patterns 4 (1), 2023	17	2023
Preparing for the next pandemic via transfer learning from existing diseases with hierarchical multi-modal BERT: a study on COVID-19 outcome prediction K Agarwal, S Choudhury, S Tipirneni, P Mukherjee, C Ham, S Tamang, ... Scientific reports 12 (1), 10748, 2022	15	2022

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