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Jeremy D. Kunz
Jeremy D. Kunz
Paige AI
Verified email at paige.ai
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
1402020
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
972021
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
912021
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
412023
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
142020
A fast and efficient size separation method for haploid embryonic stem cells
R Freimann, A Wutz
Biomicrofluidics 11 (5), 2017
142017
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
42020
Systems and methods to process electronic images for determining treatment
JD Kunz, D Thiagarajan
US Patent App. 18/049,220, 2023
22023
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
12024
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
12022
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
Systems and methods to process electronic images with automatic protocol revisions
JD Kunz, DH Lee
US Patent App. 18/316,711, 2023
2023
Systems and methods for processing electronic images with updated protocols
JD Kunz, DH Lee
US Patent App. 18/316,736, 2023
2023
2328P Alternative molecular mechanisms underpinning breast invasive lobular carcinoma identified by genomics-driven artificial intelligence model
F Pareja, H Dopeso, YK Wang, A Gazzo, D Brown, P Selenica, J Bernhard, ...
Annals of Oncology 34, S1189, 2023
2023
Systems and methods to process electronic images for model selection
JD Kunz, D Gorton, A Casson
US Patent App. 18/179,871, 2023
2023
Systems and methods for processing electronic images with metadata integration
P Raciti, JD Kunz, C Kanan, Z Ebrahimzadeh
US Patent App. 17/877,585, 2023
2023
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