X Li

Professor and Chief of Physics Section

Medical College of Wisconsin

United States

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About

Dr. X Li is a Professor and Chief of the Physics Section at the Medical College of Wisconsin, USA. His research areas include advanced imaging techniques and machine learning applications in radiation therapy, with a focus on pancreatic tumors, head and neck cancers, and MRI-guided adaptive radiotherapy. Recent publications highlight his work on deep learning for auto-segmentation and contour refinement in complex anatomical structures.

Articles (12)

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2025

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2023

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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

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2022

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2020

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2020

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2020

Collaborators (2)

SILAMBARASAN Anbumani

University of Arkansas for Medical Sciences

UNITED STATES

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Jie Ding

Assistant Professor

Emory University

UNITED STATES

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X Li

Research Interests

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Articles (12)

Enhancing pancreatic tumor delineation using dual-energy CT-derived extracellular volume fraction map

Automated deep learning auto-segmentation of air volumes for MRI-guided online adaptive radiation therapy of abdominal tumors

Deep learning based automatic contour refinement for inaccurate auto-segmentation in MR-guided adaptive radiotherapy

Auto‐detection of necessity for MRI‐guided online adaptive replanning using a machine learning classifier

Obtaining organ-specific radiobiological parameters from clinical data for radiation therapy planning of head and neck cancers

Deep Learning-Based Automatic Detection of Brain Metastases in Heterogenous Multi-Institutional Magnetic Resonance Imaging Sets: An Exploratory Analysis of NRG-CC001

A Prior Knowledge-Guided, Deep Learning-Based Semiautomatic Segmentation for Complex Anatomy on Magnetic Resonance Imaging

Automatic Contour Refinement for Deep Learning Auto-segmentation of Complex Organs in MRI-guided Adaptive Radiation Therapy

Development and implementation of an automatic air delineation technique for MRI-guided adaptive radiation therapy

Initial clinical experience of Stereotactic Body Radiation Therapy (SBRT) for liver metastases, primary liver malignancy, and pancreatic cancer with 4D-MRI based online adaptation and real-time MRI monitoring using a 1.5 Tesla MR-Linac

Patterns of Failure Observed in the 2-Step Institution Credentialing Process for NRG Oncology/Radiation Therapy Oncology Group 1005 (NCT01349322) and Lessons Learned

Automated air region delineation on MRI for synthetic CT creation

Collaborators (2)

SILAMBARASAN Anbumani

Jie Ding

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