David Steiner
Health/Pathology team. Integration of molecular, laboratory, and imaging data. Background in molecular biology and molecular diagnostic test development, including analytical and clinical validation.
Authored Publications
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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)
Health AI Developer Foundations
Atilla Kiraly
Sebastien Baur
Kenneth Philbrick
Fereshteh Mahvar
Liron Yatziv
Tiffany Chen
Bram Sterling
Nick George
Fayaz Jamil
Jing Tang
Kai Bailey
Akshay Goel
Abbi Ward
Lin Yang
Shravya Shetty
Daniel Golden
Tim Thelin
Rory Pilgrim
Can "John" Kirmizi
arXiv (2024)
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology
Jeremy Lai
Supriya Vijay
Jessica Loo
Saurabh Vyawahare
Saloni Agarwal
Fayaz Jamil
Cameron Chen
arXiv (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
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Wouter Bulten
Kimmo Kartasalo
Po-Hsuan Cameron Chen
Peter Ström
Hans Pinckaers
Kunal Nagpal
Yuannan Cai
Hester van Boven
Robert Vink
Christina Hulsbergen-van de Kaa
Jeroen van der Laak
Mahul B. Amin
Andrew J. Evans
Theodorus van der Kwast
Robert Allan
Peter A. Humphrey
Henrik Grönberg
Hemamali Samaratunga
Brett Delahunt
Toyonori Tsuzuki
Tomi Häkkinen
Lars Egevad
Maggie Demkin
Sohier Dane
Fraser Tan
Masi Valkonen
Lily Peng
Craig H. Mermel
Pekka Ruusuvuori
Geert Litjens
Martin Eklund
the PANDA challenge consortium
Nature Medicine, 28 (2022), pp. 154-163
Deep learning models for histologic grading of breast cancer and association with disease prognosis
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)
Interpretable Survival Prediction for Colorectal Cancer using Deep Learning
Melissa Moran
Markus Plass
Robert Reihs
Fraser Tan
Isabelle Flament
Trissia Brown
Peter Regitnig
Cameron Chen
Apaar Sadhwani
Bob MacDonald
Benny Ayalew
Lily Hao Yi Peng
Heimo Mueller
Zhaoyang Xu
Martin Stumpe
Kurt Zatloukal
Craig Mermel
npj Digital Medicine (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)
Onboarding Materials as Cross-functional Boundary Objects for Developing AI Assistants
Lauren Wilcox
Samantha Winter
Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, ACM (2021) (to appear)
Determining Breast Cancer Biomarker Status and Associated Morphological Features Using Deep Learning
Paul Gamble
Harry Wang
Fraser Tan
Melissa Moran
Trissia Brown
Isabelle Flament
Emad A. Rakha
Michael Toss
David J. Dabbs
Peter Regitnig
Niels Olson
James H. Wren
Carrie Robinson
Lily Peng
Craig Mermel
Cameron Chen
Nature Communications Medicine (2021)
