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Kunal Nagpal
Kunal Nagpal
Staff Machine Learning Scientist, Tempus
Verified email at tempus.com
Title
Cited by
Cited by
Year
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
K Nagpal, D Foote, Y Liu, PHC Chen, E Wulczyn, F Tan, N Olson, ...
NPJ digital medicine 2 (1), 1-10, 2019
2662019
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis
PHC Chen, K Gadepalli, R MacDonald, Y Liu, S Kadowaki, K Nagpal, ...
Nature medicine 25 (9), 1453-1457, 2019
1412019
Development and validation of a deep learning algorithm for Gleason grading of prostate cancer from biopsy specimens
K Nagpal, D Foote, F Tan, Y Liu, PHC Chen, DF Steiner, N Manoj, ...
JAMA oncology 6 (9), 1372-1380, 2020
682020
Evaluation of the use of combined artificial intelligence and pathologist assessment to review and grade prostate biopsies
DF Steiner, K Nagpal, R Sayres, DJ Foote, BD Wedin, A Pearce, CJ Cai, ...
JAMA network open 3 (11), e2023267-e2023267, 2020
292020
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
W Bulten, K Kartasalo, PHC Chen, P Ström, H Pinckaers, K Nagpal, Y Cai, ...
Nature medicine 28 (1), 154-163, 2022
262022
Development and assessment of an artificial intelligence–based tool for skin condition diagnosis by primary care physicians and nurse practitioners in teledermatology practices
A Jain, D Way, V Gupta, Y Gao, G de Oliveira Marinho, J Hartford, ...
JAMA network open 4 (4), e217249-e217249, 2021
242021
Clearance of extractables and leachables from single‐use technologies via ultrafiltration/diafiltration operations
N Magarian, K Lee, K Nagpal, K Skidmore, E Mahajan
Biotechnology progress 32 (3), 718-724, 2016
222016
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading
E Wulczyn, K Nagpal, M Symonds, M Moran, M Plass, R Reihs, F Nader, ...
Communications medicine 1 (1), 1-8, 2021
152021
Microscope 2.0: an augmented reality microscope with real-time artificial intelligence integration
PHC Chen, K Gadepalli, R MacDonald, Y Liu, K Nagpal, T Kohlberger, ...
arXiv preprint arXiv:1812.00825, 2018
152018
An augmented reality microscope for real-time automated detection of cancer
PH Chen, K Gadepalli, R MacDonald, Y Liu, K Nagpal, T Kohlberger, ...
Proc. Annu. Meeting American Association Cancer Research, 2018
102018
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer. NPJ Digit Med. 2019; 2: 48
K Nagpal, D Foote, Y Liu, PC Chen, E Wulczyn, F Tan, N Olson, JL Smith, ...
9
Race-and Ethnicity-Stratified Analysis of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners
A Jain, D Way, V Gupta, Y Gao, G de Oliveira Marinho, J Hartford, ...
Iproceedings 8 (1), e36885, 2022
12022
Reply:‘The importance of study design in the application of artificial intelligence methods in medicine’
K Nagpal, Y Liu, PHC Chen, MC Stumpe, CH Mermel
NPJ Digital Medicine 2 (1), 1-2, 2019
12019
Artificial intelligence prediction of prostate cancer outcomes
C Mermel, Y Liu, N Manoj, M Symonds, M Stumpe, L Peng, K Nagpal, ...
US Patent App. 17/453,953, 2022
2022
Gleason grading of prostate cancer using artificial intelligence: lessons learned from the PANDA challenge
K Kartasalo, P Ström, M Eklund, W Bulten, H Pinckaers, G Litjens, ...
Medical Imaging with Deep Learning, 2022
2022
Crowdsourcing of artificial intelligence algorithms for diagnosis and Gleason grading of prostate cancer in biopsies
K Kartasalo, W Bulten, PH Chen, P Strom, H Pinckaers, K Nagpal, ...
EUROPEAN UROLOGY 81, S913-S913, 2022
2022
AI-based Gleason Grading for Stratification of Prostate Cancer Outcomes
E Wulczyn, K Nagpal, M Symonds, M Moran, M Plass, R Reihs, F Nader, ...
2021
A Deep Learning System with Subspecialist-Level Accuracy for Gleason Grading Prostate Biopsies
K Nagpal, D Foote, F Tan, Y Liu, PHC Chen, D Steiner, N Manoj, N Olson, ...
LABORATORY INVESTIGATION 100 (SUPPL 1), 943-945, 2020
2020
Pathology Outlines: Computer-Aided Diagnosis
K Nagpal, C Chen, D Steiner, C Mermel, Y Liu
2020
Monitoring clearance of extractables and leachables from Single-Use Technologies by NMR
N Margarian, K Lee, K Nagpal, K Skidmore
2015
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