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Adam G. Berman
Adam G. Berman
Verified email at cam.ac.uk
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Cited by
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Year
Triage-driven diagnosis of Barrett’s esophagus for early detection of esophageal adenocarcinoma using deep learning
M Gehrung, M Crispin-Ortuzar, AG Berman, M O’Donovan, RC Fitzgerald, ...
Nature Medicine, 1-9, 2021
742021
PathML: a unified framework for whole-slide image analysis with deep learning
AG Berman, WR Orchard, M Gehrung, F Markowetz
medRxiv, 2021.07. 07.21260138, 2021
152021
SliDL: A toolbox for processing whole-slide images in deep learning
AG Berman, WR Orchard, M Gehrung, F Markowetz
PLoS One 18 (8), e0289499, 2023
32023
Quantification of TFF3 expression from a non-endoscopic device predicts clinically relevant Barrett's oesophagus by machine learning
AG Berman, WK Tan, M O'Donovan, F Markowetz, RC Fitzgerald
eBioMedicine 82, 104160, 2022
22022
Triage-driven diagnosis for early detection of esophageal cancer using deep learning
M Gehrung, M Crispin-Ortuzar, AG Berman, M O’Donovan, RC Fitzgerald, ...
medRxiv, 2020.07. 16.20154732, 2020
22020
FrenchFISH: Poisson Models for Quantifying DNA Copy Number From Fluorescence In Situ Hybridization of Tissue Sections
G Macintyre, AM Piskorz, A Berman, E Ross, DB Morse, K Yuan, D Ennis, ...
JCO Clinical Cancer Informatics 5, 176-186, 2021
12021
Clinical-grade early detection of esophageal cancer on data from a non-endoscopic device using deep learning
AG Berman, A Miremadi, M O'Donovan, S Malhotra, M Tripathi, ...
Cancer Research 83 (7_Supplement), 4321-4321, 2023
2023
Deep learning on whole-slide images for early detection and risk prediction of oesophageal cancer
A Berman
2023
A composite biomarker for esophageal cancer risk from automated analysis of a non-endoscopic device
AG Berman, RC Fitzgerald, F Markowetz
medRxiv, 2021.08. 20.21262366, 2021
2021
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