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Jeremy D. Kunz
Jeremy D. Kunz
Paige AI
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Title
Cited by
Cited by
Year
Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies
P Raciti, J Sue, R Ceballos, R Godrich, JD Kunz, S Kapur, V Reuter, ...
Modern Pathology 33 (10), 2058-2066, 2020
1502020
Independent real‐world application of a clinical‐grade automated prostate cancer detection system
LM da Silva, EM Pereira, PGO Salles, R Godrich, R Ceballos, JD Kunz, ...
The Journal of pathology 254 (2), 147-158, 2021
1102021
An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy
S Perincheri, AW Levi, R Celli, P Gershkovich, D Rimm, JS Morrow, ...
Modern Pathology 34 (8), 1588-1595, 2021
992021
Clinical validation of artificial intelligence–augmented pathology diagnosis demonstrates significant gains in diagnostic accuracy in prostate cancer detection
P Raciti, J Sue, JA Retamero, R Ceballos, R Godrich, JD Kunz, A Casson, ...
Archives of Pathology & Laboratory Medicine 147 (10), 1178-1185, 2023
522023
Virchow: a million-slide digital pathology foundation model
E Vorontsov, A Bozkurt, A Casson, G Shaikovski, M Zelechowski, S Liu, ...
arXiv preprint arXiv:2309.07778, 2023
442023
Semantic segmentation of histopathological slides for the classification of cutaneous lymphoma and eczema
J Scheurer, C Ferrari, L Berenguer Todo Bom, M Beer, W Kempf, L Haug
Annual Conference on Medical Image Understanding and Analysis, 26-42, 2020
182020
A foundation model for clinical-grade computational pathology and rare cancers detection
E Vorontsov, A Bozkurt, A Casson, G Shaikovski, M Zelechowski, ...
Nature Medicine, 1-12, 2024
152024
A fast and efficient size separation method for haploid embryonic stem cells
R Freimann, A Wutz
Biomicrofluidics 11 (5), 2017
152017
Computational pathological identification of prostate cancer following neoadjuvant treatment.
B Dogdas, C Kanan, P Raciti, SK Tian, SD Brookman-May, L Wetherhold, ...
Journal of Clinical Oncology 38 (15_suppl), e14052-e14052, 2020
52020
Systems and methods to process electronic images for determining treatment
JD Kunz, D Thiagarajan
US Patent App. 18/049,220, 2023
32023
Abstract PD11-01: An artificial intelligence-based predictor of CDH1 biallelic mutations and invasive lobular carcinoma
JS Reis-Filho, F Pareja, F Derakhshan, DN Brown, J Sue, P Selenica, ...
Cancer Research 82 (4_Supplement), PD11-01-PD11-01, 2022
32022
PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology
G Shaikovski, A Casson, K Severson, E Zimmermann, YK Wang, JD Kunz, ...
arXiv preprint arXiv:2405.10254, 2024
22024
A Genomics-Driven Artificial Intelligence-Based Model Classifies Breast Invasive Lobular Carcinoma and Discovers CDH1 Inactivating Mechanisms
F Pareja, H Dopeso, YK Wang, AM Gazzo, DN Brown, M Banerjee, ...
Cancer Research, 2024
12024
Screen Them All: High-Throughput Pan-Cancer Genetic and Phenotypic Biomarker Screening from H\&E Whole Slide Images
YK Wang, L Tydlitatova, JD Kunz, G Oakley, RA Godrich, MCH Lee, ...
arXiv preprint arXiv:2408.09554, 2024
2024
Systems and methods for processing electronic images of pathology data and reviewing the pathology data
S Seymour, T Parker, A Bozkurt, C Kanan, JD Kunz
US Patent App. 18/641,615, 2024
2024
Systems and methods to process electronic images to provide automated routing of data
JD Kunz, C Kanan, P Raciti, MG Hanna
US Patent App. 18/430,785, 2024
2024
Systems and methods for processing electronic images of pathology data and reviewing the pathology data
S Seymour, T Parker, A Bozkurt, C Kanan, JD Kunz
US Patent 11,994,665, 2024
2024
Abstract GS03-04: Novel Mechanisms of CDH1 Inactivation in Breast Invasive Lobular Carcinoma Unveiled by the Integration of Artificial Intelligence and Genomics
F Pareja, H Dopeso, Y Wang, A Gazzo, D Brown, P Selenica, J Bernhard, ...
Cancer Research 84 (9_Supplement), GS03-04-GS03-04, 2024
2024
Systems and methods for processing electronic images to identify transplant donor-recipient matches
JD Kunz, C Kanan
US Patent App. 18/330,745, 2023
2023
Systems and methods to process electronic images for histological morphology trajectory prediction
JD Kunz, C Kanan, G Shaikovski
US Patent App. 18/324,665, 2023
2023
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