Pritam Mukherjee

Cytowane przez

	Wszystkie	Od 2020
Cytowania	1238	1036
h-indeks	18	15
i10-indeks	25	20

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38 artykułów

3 artykuły

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

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Pritam Mukherjee

National Institutes of Health Clinical Center

Zweryfikowany adres z nih.gov

machine learning for healthcare medical imaging


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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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