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02/03/2023
Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Can
Background and purpose: Radiation-induced erectile dysfunction (RiED) is...
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11/19/2022
Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation
When a pre-trained general auto-segmentation model is deployed at a new ...
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10/11/2022
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy
In the past decade, deep learning (DL)-based artificial intelligence (AI...
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10/02/2022
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making – a clinician's perspective
Prediction uncertainty estimation has clinical significance as it can po...
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06/07/2022
Exploring the combination of deep-learning based direct segmentation and deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy
CBCT-based online adaptive radiotherapy (ART) calls for accurate auto-se...
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03/08/2022
Region Specific Optimization (RSO)-based Deep Interactive Registration
Medical image registration is a fundamental and vital task which will af...
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02/08/2022
Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy
Online adaptive radiotherapy (ART) requires accurate and efficient auto-...
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01/25/2022
S2MS: Self-Supervised Learning Driven Multi-Spectral CT Image Enhancement
Photon counting spectral CT (PCCT) can produce reconstructed attenuation...
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07/28/2021
A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision
Automatic segmentation of anatomical structures is critical for many med...
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02/01/2021
Deep High-Resolution Network for Low Dose X-ray CT Denoising
Low Dose Computed Tomography (LDCT) is clinically desirable due to the r...
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11/30/2020
Deep Dose Plugin Towards Real-time Monte Carlo Dose Calculation Through a Deep Learning based Denoising Algorithm
Monte Carlo (MC) simulation is considered the gold standard method for r...
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11/30/2020
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography
Low dose computed tomography (LDCT) is desirable for both diagnostic ima...
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05/30/2020
Probabilistic self-learning framework for Low-dose CT Denoising
Despite the indispensable role of X-ray computed tomography (CT) in diag...
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10/15/2018
