Research evidence
Medical Artificial Intelligence and Automation Laboratory · UT Southwestern Medical Center
← Back to the lab profilePublications & preprints
Papers by the lab’s listed researchers in Health AI Central’s research database, newest first.
- Autonomous radiotherapy planning via agentic orchestration using a multimodal TPS-integrated compound AI platform.PubMed ↗
Lab researchersSteve JiangMu-Han LinDan Nguyen
- Evaluation of online dose-guided adaptive fractionation for intact prostate radiotherapy.PubMed ↗
Lab researcherWeiguo Lu
- Deep learning-based automatic segmentation of rectal tumors in endoscopic images.PubMed ↗
Lab researcherAurelie Garant
- Strategies for enhancing delivery efficiency on MR-Linac: A dosimetric study and historical plan review.PubMed ↗
Lab researchersSteve JiangMu-Han LinJustin VisakYing Zhang
- Transformer-encoded nnU-Net with local region perceptron and contrastive learning (TLC-nnUNet) for multiple brain metastasis detection and delineation.PubMed ↗
Lab researchersXuejun GuZabi Wardak
- A Simulation-Free Radiation Therapy Workflow Using Synthetic Computed Tomography Generated from Diagnostic Magnetic Resonance Imaging for Personalized Hippocampal-Sparing Whole-Brain Treatment.PubMed ↗
Lab researchersShahed BadiyanLiyuan ChenTu DanMichael DohopolskiAndrew GodleyZohaib IqbalSteve JiangMu-Han LinWeiguo LuDavid ParsonsChenyang ShenDavid SherZabi Wardak
- Evaluation of treatment planning feasibility of a positron emission tomography (PET)-Linac system for spine stereotactic body radiotherapy (SBRT).PubMed ↗
Lab researchersAndrew GodleyHao PengChenyang Shen
- Exploring radiomic and topological features to evaluate treatment response in rectal cancer.PubMed ↗
Lab researchersTodd AguileraSteve JiangHao PengNina Sanford
- Accuracy of Large Language Models to Identify Stroke Subtypes Within Unstructured Electronic Health Record Data.PubMed ↗
Lab researcherMichael Dohopolski
- Internal Target Volume Estimation for Liver Cancer Radiation Therapy Using an Ultra Quality 4-Dimensional Magnetic Resonance Imaging.PubMed ↗
Lab researchersTodd AguileraAndrew GodleyJustin Visak
- TransAnaNet: Transformer-based anatomy change prediction network for head and neck cancer radiotherapy.PubMed ↗
Lab researchersMichael DohopolskiDavid SherJing Wang
- Radiotherapy dose prediction using off-the-shelf segmentation networks: A feasibility study with GammaPod planning.PubMed ↗
Lab researcherXuejun Gu
- Gradient-Based Radiomics for Outcome Prediction and Decision-Making in PULSAR: A Preliminary Study.PubMed ↗
Lab researchersMichael DohopolskiHao PengZabi Wardak
- Expanding SCINTIX Biology-Guided Radiotherapy Beyond Lung and Bone: A Planning Feasibility and Dosimetric Study on the RefleXion X1 System.PubMed ↗
Lab researchersTodd AguileraShahed BadiyanTu DanAurelie GarantRaquibul HannanSteve JiangHao PengChenyang ShenDavid Sher
- Enhancing prediction of primary site recurrence in head and neck cancer using radiomics and uncertainty estimation.PubMed ↗
Lab researchersMichael DohopolskiDavid Sher
NIH grants
Grants where NIH lists a lab researcher as contact principal investigator, one row per project.
Active · 2
- Early response to radiotherapy and immunotherapy in rectal cancer: an integrated molecular, cellular, and spatial approachActive
Lab researcherTodd Aguilera
- Targeted degradation of CDK4 and 6 to overcome treatment resistance in breast cancerActive
Lab researcherPrasanna Alluri
Ended · 1