Dan Nguyen
Orcid: 0000-0002-9590-0655
According to our database1,
Dan Nguyen
authored at least 58 papers
between 2003 and 2024.
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Bibliography
2024
Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net.
Mach. Learn. Sci. Technol., 2024
2023
Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? - Application to proton therapy dose prediction for head and neck cancer patients.
CoRR, 2023
Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer.
CoRR, 2023
2022
Prediction of Type and Recurrence of Atrial Fibrillation after Catheter Ablation via Left Atrial Electroanatomical Voltage Mapping Registration and Multilayer Perceptron Classification: A Retrospective Study.
Sensors, 2022
Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation.
CoRR, 2022
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy.
CoRR, 2022
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making - a clinician's perspective.
CoRR, 2022
Exploring the combination of deep-learning based direct segmentation and deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy.
CoRR, 2022
OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines.
CoRR, 2022
Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy.
CoRR, 2022
Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
2021
IEEE Trans. Medical Imaging, 2021
Mach. Learn. Sci. Technol., 2021
A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy.
Mach. Learn. Sci. Technol., 2021
Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with cone-beam computed tomography (CBCT) to computed tomography (CT) image conversion.
Mach. Learn. Sci. Technol., 2021
Deep dose plugin: towards real-time Monte Carlo dose calculation through a deep learning-based denoising algorithm.
Mach. Learn. Sci. Technol., 2021
Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach.
Medical Image Anal., 2021
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.
Medical Image Anal., 2021
Deep Learning-Based COVID-19 Pneumonia Classification Using Chest CT Images: Model Generalizability.
Frontiers Artif. Intell., 2021
CoRR, 2021
CoRR, 2021
Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy.
CoRR, 2021
PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume.
CoRR, 2021
Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning based simulation study.
CoRR, 2021
PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes.
Artif. Intell. Medicine, 2021
2020
Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks.
CoRR, 2020
Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model Adaptation to Different Treatment Planning Practices.
CoRR, 2020
Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy.
CoRR, 2020
Mining Domain Knowledge: Improved Framework Towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy.
IEEE Access, 2020
2019
Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy.
CoRR, 2019
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Application of deep neural networks for automatic planning in radiation oncology treatments.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
2018
Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations.
CoRR, 2018
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture.
CoRR, 2018
Deep BOO! Automating Beam Orientation Optimization in Intensity-Modulated Radiation Therapy.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018
Proceedings of the Smart Computing and Communication - Third International Conference, 2018
2017
Accurate Real Time Localization Tracking in A Clinical Environment using Bluetooth Low Energy and Deep Learning.
CoRR, 2017
Dose Prediction with U-net: A Feasibility Study for Predicting Dose Distributions from Contours using Deep Learning on Prostate IMRT Patients.
CoRR, 2017
2016
Proceedings of the 2016 IEEE International Solid-State Circuits Conference, 2016
2014
IEEE Trans. Wirel. Commun., 2014
SOCP approaches to joint subcarrier allocation and precoder design for downlink OFDMA systems.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014
Proceedings of the 2014 IEEE International Conference on Solid-State Circuits Conference, 2014
2013
Precoding for Full Duplex Multiuser MIMO Systems: Spectral and Energy Efficiency Maximization.
IEEE Trans. Signal Process., 2013
2012
Proceedings of IEEE International Conference on Communications, 2012
2011
Proceedings of the 10th Python in Science Conference 2011 (SciPy 2011), Austin, Texas, July 11, 2011
2010
Identification of static and dynamic muscle activation patterns for intuitive human/computer interfaces.
Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010
2005
Case Report: Safe Teleradiology: Information Assurance as Project Planning Methodology.
J. Am. Medical Informatics Assoc., 2005
2003
Safe teleradiology: information assurance as project planning methodology.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003
Implementing a secure teleradiology dystem using the internet.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003