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Steve Jiang

University of Texas Southwestern Medical Center

United States

Research Interests

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Professors in United States Professors in Medical Imaging Medical Imaging professors in United States

Articles (14)

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2026

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2026

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2026

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2026

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2026

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2026

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2025

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2025

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2025

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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

Collaborators (5)

Jing Wang

Professor

University of Texas Southwestern Medical Center

UNITED STATES

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Chenyang Shen

Assistant Professor

University of Texas Southwestern Medical Center

UNITED STATES

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Todd Aguilera

University of Texas Southwestern Medical Center

UNITED STATES

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Michael Dohopolski

University of Texas Southwestern Medical Center

UNITED STATES

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Sanda Harabagiu

Professor

University of Texas at Dallas

UNITED STATES

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Steve Jiang

Research Interests

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Articles (14)

Autonomous radiotherapy planning via agentic orchestration using a multimodal TPS-integrated compound AI platform

Artificial intelligence (AI)-based multi-organ contour quality assurance with uncertainty estimation for online adaptive radiotherapy (oART)

‘See’ through the surface: surface-derived three-dimensional AI-driven real-time imaging solution for intra-treatment image guidance

From models to agentic systems: the evolution of artificial intelligence in medical physics

Leveraging support vector regression, radiomics and dosiomics for outcome prediction in personalized ultra-fractionated stereotactic adaptive radiotherapy (PULSAR)

Performance of an Artificial Intelligence Foundation Model for Prostate Radiotherapy Segmentation

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

Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer

Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework

Geometry-encoded deep learning (GeoDL) framework for real-time 3D dose verification for online adaptive radiotherapy

Adaptive radiotherapy dose prediction on head and neck cancer patients with a 3D multi-headed U-Net deep learning architecture

Incorporating physicians’ contouring style into auto-segmentation of clinical target volume for post-operative prostate cancer radiotherapy using a language encoder

Exploring radiomic and topological features to evaluate treatment response in rectal cancer

Recent Advancements of Artificial Intelligence in Particle Therapy

Collaborators (5)

Jing Wang

Chenyang Shen

Todd Aguilera

Michael Dohopolski

Sanda Harabagiu

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