Tiam Jaroensri
Tiam is currently a researcher in the Pathology team at Google Health. He works on developing machine learning models to detect and assess cancer in pathology images. Previously, Tiam completed his PhD study under Prof Frédo Durand in the Computer Graphics Group at MIT CSAIL. Aside from health care applications, his research interest also includes computer vision, machine learning, and image and video processing methods. Tiam's research has been published in top computer vision venues and various journals such as CVPR, ECCV, Nature Communication Medicine, and the Breast.
Prior to joining MIT for his doctoral degree, Tiam completed my bachelor's degree in Physics at Stanford University, and attended Suankularb Wittayalai School in Bangkok, Thailand.
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Google
Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study
Terry Spitz
Malcolm Chelliah
Heather Cole-Lewis
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)
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)
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)
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)
Current and Future Applications of Artificial Intelligence in Pathology: A Clinical Perspective
Emad Rakha
Michael S Toss
Sho Shiino
Paul Gamble
Craig Mermel
Cameron Chen
Journal of Clinical Pathology (2021)
Artificial Intelligence in Digital Breast Pathology: Techniques and Applications
Asmaa Ibrahim
Paul Gamble
Cameron Chen
Mohammed Abdelsamea
Craig Mermel
Emad Rakha
The Breast (2020)
