Ellery Wulczyn
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Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study
Terry Spitz
Malcolm Chelliah
Heather Cole-Lewis
Tiam Jaroensri
Geoff Keeling
Stephanie Farquhar
Qinghan Xue
Jenna Lester
Cían Hughes
Patricia Strachan
Fraser Tan
Peggy Bui
Craig Mermel
Lily Peng
Sunny Virmani
Ivor Horn
Cameron Chen
The Lancet eClinicalMedicine (2024)
PathAlign: A vision–language model for whole slide images in histopathology
Lin Yang
Shawn Xu
Abbi Ward
Niels Olson
Arash Mohtashamian
Shravya Shetty
Daniel Golden
Yun Li
(2024)
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology
Jeremy Lai
Supriya Vijay
Tiam Jaroensri
Jessica Loo
Saurabh Vyawahare
Saloni Agarwal
Fayaz Jamil
Cameron Chen
arXiv (2023)
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
Laura Anne Culp
Jan Freyberg
Basil Mustafa
Sebastien Baur
Simon Kornblith
Ting Chen
Patricia MacWilliams
Sara Mahdavi
Megan Zoë Walker
Aaron Loh
Cameron Chen
Scott Mayer McKinney
Jim Winkens
Zach William Beaver
Fiona Keleher Ryan
Mozziyar Etemadi
Umesh Telang
Lily Hao Yi Peng
Geoffrey Everest Hinton
Neil Houlsby
Mohammad Norouzi
Nature Biomedical Engineering (2023)
Pathologist Validation of a Machine Learning–Derived Feature for Colon Cancer Risk Stratification
Vincenzo L’Imperio
Markus Plass
Heimo Müller
Nicolò Tamini
Luca Gianotti
Nicola Zucchini
Robert Reihs
Lily Peng
Cameron Chen
Marialuisa Lavitrano
David F. Steiner
Kurt Zatloukal
Fabio Pagni
JAMA Network Open (2023)
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning
Fraser Tan
Isabelle Flament-Auvigne
Trissia Brown
Markus Plass
Robert Reihs
Heimo Mueller
Kurt Zatloukal
Pema Richeson
Lily Peng
Craig Mermel
Cameron Chen
Saurabh Gombar
Thomas Montine
Jeanne Shen
Nature Communications Medicine, 3 (2023), pp. 59
Towards Physician-Level Medical Question Answering with Large Language Models
Karan Singhal
Juro Gottweis
Le Hou
Kevin Clark
Heather Cole-Lewis
Amy Wang
Sami Lachgar
Philip Mansfield
Sushant Prakash
Bradley Green
Ewa Dominowska
Nenad Tomašev
Renee Wong
Sara Mahdavi
Joelle Barral
Arxiv (2023) (to appear)
Deep learning models for histologic grading of breast cancer and association with disease prognosis
Tiam Jaroensri
Trissia Brown
Isabelle Flament
Fraser Tan
Yuannan Cai
Kunal Nagpal
Emad Rakha
David J. Dabbs
Niels Olson
James H. Wren
Elaine E. Thompson
Erik Seetao
Carrie Robinson
Melissa Miao
Fabien Beckers
Lily Hao Yi Peng
Craig Mermel
Cameron Chen
npj Breast Cancer (2022)
Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images
Apaar Sadhwani
Huang-Wei Chang
Ali Behrooz
Trissia Brown
Isabelle Flament
Hardik Patel
Robert Findlater
Vanessa Velez
Fraser Tan
Kamilla Marta Tekiela
Eunhee Yi
Craig Mermel
Debra Hanks
Cameron Chen
Kimary Kulig
Cory Batenchuk
Peter Cimermancic
Scientific Reports (2021)
Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading
Kunal Nagpal
Matthew Symonds
Melissa Moran
Markus Plass
Robert Reihs
Farah Nader
Fraser Tan
Yuannan Cai
Trissia Brown
Isabelle Flament
Mahul Amin
Martin Stumpe
Heimo Muller
Peter Regitnig
Andreas Holzinger
Lily Hao Yi Peng
Cameron Chen
Kurt Zatloukal
Craig Mermel
Communications Medicine (2021)
