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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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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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06/15/2021
Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks
Typically, the current dose prediction models are limited to small amoun...
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04/23/2021
Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy
In this study, we propose a tailored DL framework for patient-specific p...
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02/18/2021
Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability
Since the outbreak of the COVID-19 pandemic, worldwide research efforts ...
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02/15/2021
PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume
Automatic segmentation of medical images with DL algorithms has proven t...
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02/01/2021
Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning based simulation study
In tumor segmentation, inter-observer variation is acknowledged to be a ...
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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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11/01/2020
Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks
Recently, artificial intelligence technologies and algorithms have becom...
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06/30/2020
Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model Adaptation to Different Treatment Planning Practices
This work aims to study the generalizability of a pre-developed deep lea...
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06/19/2020
Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy
We propose to develop deep learning models that can predict Pareto optim...
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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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04/28/2020
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy
In post-operative radiotherapy for prostate cancer, the cancerous prosta...
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04/16/2020
Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) i
Generalizability is a concern when applying a deep learning (DL) model t...
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04/14/2020
A reinforcement learning application of guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy
Due to the large combinatorial problem, current beam orientation optimiz...
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12/04/2019
Mining Domain Knowledge: Improved Framework towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy
Automatically standardizing nomenclature for anatomical structures in ra...
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08/16/2019
Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose volume histogram and adversarial inspired framework for generating Pa
We propose a novel domain specific loss, which is a differentiable loss ...
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12/17/2018
Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations
The use of neural networks to directly predict three-dimensional dose di...
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05/31/2018
Fully Automated Organ Segmentation in Male Pelvic CT Images
Accurate segmentation of prostate and surrounding organs at risk is impo...
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05/25/2018
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture
The treatment planning process for patients with head and neck (H&N) can...
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09/26/2017
