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Ti Bai

5PUBLICATIONS

11CO-AUTHORS

Semi- and unsupervised learningRadiation therapyEvolutionary computationDeep learningReinforcement learning

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Publications (5)

Sort by Publication Date:

|Apr 18, 2025

Prior guided deep difference meta-learner for fast adaptation to stylized segmentation.

Dan Nguyen, Anjali Balagopal, Ti Bai

|Jan 19, 2023

Deep learning based direct segmentation assisted by deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy.

Xiao Liang, Howard Morgan, Ti Bai

|Oct 07, 2022

A Proof-of-Concept Study of Artificial Intelligence-assisted Contour Editing.

Ti Bai, Anjali Balagopal, Michael Dohopolski

|Apr 28, 2022

Real-time liver tumor localization via a single x-ray projection using deep graph neural network-assisted biomechanical modeling.

Hua-Chieh Shao, Jing Wang, Ti Bai

|Feb 05, 2021

Synthesizing CT images from MR images with deep learning: model generalization for different datasets through transfer learning.

Wen Li, Samaneh Kazemifar, Ti Bai

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Frequent Collaborators

4 joint publications

Dan Nguyen

2 joint publications

Anjali Balagopal

2 joint publications

Michael Dohopolski

2 joint publications

Steve Jiang

1 joint publications

Amir Owrangi

1 joint publications

Jing Wang

1 joint publications

Jaehee Chun

1 joint publications

You Zhang

1 joint publications

Rafe McBeth

1 joint publications

David J Sher

Frequent Collaborators

4 joint publications

Dan Nguyen

2 joint publications

Anjali Balagopal

2 joint publications

Michael Dohopolski

2 joint publications

Steve Jiang

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