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Adam Casson
Adam Casson
Paige.AI
在 paige.ai 的电子邮件经过验证
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引用次数
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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
962021
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
402023
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
322023
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
Morphological Breast Cancer Subtyping by Weakly Supervised Neural Networks
M Hanna, M Lee, A Bozkurt, R Godrich, A Casson, P Raciti, J Sue, J Viret, ...
LABORATORY INVESTIGATION 101 (SUPPL 1), 109-110, 2021
32021
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
Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels
A Casson, S Liu, RA Godrich, H Aghdam, D Lee, K Malfroid, B Rothrock, ...
Medical Imaging with Deep Learning, 2023
12023
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
Abstract PD6-03: clinical-grade detection of breast cancer in biopsies and excisions using machine learning
MG Hanna, P Raciti, R Godrich, A Casson, J Viret, D Lee, M Lee, ...
Cancer Research 81 (4_Supplement), PD6-03-PD6-03, 2021
12021
Systems and methods for processing electronic images using deep foundation models
S Liu, E Vorontsov, A Bozkurt, G Shaikovski, M Zelechowski, A Casson, ...
US Patent App. 18/521,903, 2024
2024
Adapting Self-Supervised Learning for Computational Pathology
E Zimmermann, N Tenenholtz, J Hall, G Shaikovski, M Zelechowski, ...
arXiv preprint arXiv:2405.01688, 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
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
Morphological Subtyping of Breast Cancer using Machine Learning
M Hanna, M Lee, A Bozkurt, P Hamilton, R Godrich, A Casson, P Raciti, ...
JOURNAL OF PATHOLOGY 255, S35-S35, 2021
2021
Abstract PD6-02: Digital MammaPrint and BluePrint using machine learning and whole slide imaging
AM Glas, JS Reis-Filho, D Wehkamp, B Dodgas, L Delahaye, R Godrich, ...
Cancer Research 81 (4_Supplement), PD6-02-PD6-02, 2021
2021
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