Yading Yuan

Associate Professor

Columbia University

United States

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About

Dr. Yading Yuan is an Associate Professor at Columbia University in the United States. His research primarily focuses on the application of artificial intelligence in healthcare, particularly in areas such as medical image segmentation, tumor detection, and adaptive radiotherapy. Recent publications include contributions to decentralized benchmarking of healthcare AI algorithms and advancements in federated learning for cancer prognostics.

Articles (10)

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2025

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2025

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2025

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2025

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2023

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2023

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2023

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2022

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2022

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2022

Collaborators (22)

Umang Pandey

Universidad Carlos III de Madrid - Campus de Leganés

SPAIN

Yading Yuan

Research Interests

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About

Articles (10)

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

Practical Approach to CT-Guided Online Adaptive Radiotherapy for Abdominopelvic Tumors.

Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning

Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning.

The Liver Tumor Segmentation Benchmark (LiTS)

Author Correction: Federated learning enables big data for rare cancer boundary detection.

Prediction-oriented prognostic biomarker discovery with survival machine learning methods.

Federated learning enables big data for rare cancer boundary detection.

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge

Predicting 3D dose distribution with scale attention network for prostate cancer radiotherapy.

Collaborators (22)

Umang Pandey

Maarten Wijnenga

Liping Zhang

Sebastian van der Voort

Craig Jones

Gianluca Brugnara

Mathias Perslev

Hongwei Li

Tobias Weiss

John Buatti

Maximilian Zenk

Christian Wachinger

Fabio Ynoe Moraes

Sean Benson

Bryan Allen

Ashok Srinivasan

Konstantinos Kamnitsas

Adrien Depeursinge

Michael Weller

Panagiotis Tsiganos

Anas Belouali

Erik Bjørnager Dam

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