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Ti Bai

Medical Artificial Intelligence and Automation Laboratory and Department of Radiation Oncology, UT Southwestern Medical Center, Dallas TX 75235, USA

Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer

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Feb 03, 2023
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Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution

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Nov 21, 2022
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Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation

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Nov 19, 2022
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Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy

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Oct 11, 2022
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Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective

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Oct 02, 2022
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Exploring the combination of deep-learning based direct segmentation and deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy

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Jun 07, 2022
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Region Specific Optimization (RSO)-based Deep Interactive Registration

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Mar 08, 2022
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Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy

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Feb 08, 2022
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S2MS: Self-Supervised Learning Driven Multi-Spectral CT Image Enhancement

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Jan 26, 2022
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A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision

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Jul 28, 2021
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