Daniel Tse
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Authored Publications
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Triaging mammography with artificial intelligence: an implementation study
Sarah M. Friedewald
Sunny Jansen
Fereshteh Mahvar
Timo Kohlberger
David V. Schacht
Sonya Bhole
Dipti Gupta
Scott Mayer McKinney
Stacey Caron
David Melnick
Mozziyar Etemadi
Samantha Winter
Alejandra Maciel
Luca Speroni
Martha Sevenich
Arnav Agharwal
Rubin Zhang
Gavin Duggan
Shiro Kadowaki
Atilla Kiraly
Jie Yang
Basil Mustafa
Krish Eswaran
Shravya Shetty
Breast Cancer Research and Treatment (2025)
Prospective Multi-Site Validation of AI to Detect Tuberculosis and Chest X-Ray Abnormalities
Sahar Kazemzadeh
Atilla Kiraly
Nsala Sanjase
Minyoi Maimbolwa
Brian Shuma
Shahar Jamshy
Christina Chen
Arnav Agharwal
Chuck Lau
Daniel Golden
Jin Yu
Eric Wu
Kat Chou
Shravya Shetty
Krish Eswaran
Rory Pilgrim
Monde Muyoyeta
NEJM AI (2024)
Assistive AI in Lung Cancer Screening: A Retrospective Multinational Study in the United States and Japan
Atilla Kiraly
Corbin Cunningham
Ryan Najafi
Jie Yang
Chuck Lau
Diego Ardila
Scott Mayer McKinney
Rory Pilgrim
Mozziyar Etemadi
Sunny Jansen
Lily Peng
Shravya Shetty
Neeral Beladia
Krish Eswaran
Radiology: Artificial Intelligence (2024)
Development of a Machine Learning Model for Sonographic Assessment of Gestational Age
Chace Lee
Angelica Willis
Christina Chen
Amber Watters
Bethany Stetson
Akib Uddin
Jonny Wong
Rory Pilgrim
Kat Chou
Shravya Ramesh Shetty
Ryan Gomes
JAMA Network Open (2023)
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders
Shawn Xu
Lin Yang
Christopher Kelly
Timo Kohlberger
Martin Ma
Atilla Kiraly
Sahar Kazemzadeh
Zakkai Melamed
Jungyeon Park
Patricia MacWilliams
Chuck Lau
Christina Chen
Mozziyar Etemadi
Sreenivasa Raju Kalidindi
Kat Chou
Shravya Shetty
Daniel Golden
Rory Pilgrim
Krish Eswaran
arxiv (2023)
Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists
Sahar Kazemzadeh
Jin Yu
Shahar Jamshy
Rory Pilgrim
Christina Chen
Neeral Beladia
Chuck Lau
Scott Mayer McKinney
Thad Hughes
Atilla Peter Kiraly
Sreenivasa Raju Kalidindi
Monde Muyoyeta
Jameson Malemela
Ting Shih
Lily Hao Yi Peng
Kat Chou
Cameron Chen
Krish Eswaran
Shravya Ramesh Shetty
Radiology (2022)
Simplified Transfer Learning for Chest X-ray Models using Less Data
Christina Chen
AJ Maschinot
Jenny Huang
Chuck Lau
Sreenivasa Raju Kalidindi
Mozziyar Etemadi
Florencia Garcia-Vicente
David Melnick
Krish Eswaran
Neeral Beladia
Dilip Krishnan
Shravya Ramesh Shetty
Radiology (2022)
A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment
Ryan Gomes
Bellington Vwalika
Chace Lee
Angelica Willis
Joan T. Price
Christina Chen
Margaret P. Kasaro
James A. Taylor
Elizabeth M. Stringer
Scott Mayer McKinney
Ntazana Sindano
William Goodnight, III
Justin Gilmer
Benjamin H. Chi
Charles Lau
Terry Spitz
Kris Liu
Jonny Wong
Rory Pilgrim
Akib Uddin
Lily Hao Yi Peng
Kat Chou
Jeffrey S. A. Stringer
Shravya Ramesh Shetty
Communications Medicine (2022)
Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19
Shahar Jamshy
Charles Lau
Eddie Santos
Atilla Peter Kiraly
Jie Yang
Rory Pilgrim
Sahar Kazemzadeh
Jin Yu
Lily Hao Yi Peng
Krish Eswaran
Neeral Beladia
Cameron Chen
Shravya Ramesh Shetty
Scientific Reports (2021)
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)
