Xiao Liang

Assistant professor

The University of Texas MD Anderson Cancer Center

United States

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About

Xiao Liang is an Assistant Professor at The University of Texas MD Anderson Cancer Center, USA. His research focuses on advanced imaging techniques in radiotherapy, particularly utilizing deep learning for synthetic CT generation and auto-segmentation in cancer treatment. Recent articles highlight his contributions to MRI planning workflows and predictive models for local failure in head and neck cancer.

Articles (7)

Year:

2025

Year:

2023

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (2)

Weiguo Lu

UNITED STATES

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Michael Dohopolski

University of Texas Southwestern Medical Center

UNITED STATES

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Xiao Liang

Research Interests

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Articles (7)

Development and clinical implementation of an MRI‐only planning workflow featuring deep learning‐based synthetic CT for prostate cancer external beam radiotherapy

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

Exploratory ensemble interpretable model for predicting local failure in head and neck cancer: The additive benefit of CT and intra-treatment cone-beam computed tomography features

Synthetic CT generation from CBCT images via unsupervised deep learning

Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with cone-beam computed tomography (CBCT) to computed tomography (CT) image conversion

Deep Learning–Based CT-to-CBCT Deformable Image Registration for Autosegmentation in Head and Neck Adaptive Radiation Therapy

Synthetic CT generation from CBCT images via deep learning

Collaborators (2)

Weiguo Lu

Michael Dohopolski

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