Implementing a secure teleradiology dystem using the internet. - Adil Alaoui; Jeffery Collmann; Dan Nguyen; David Lindisch; R. T. Nishant Subbiah; Albert Green; Jeffrey Johnson; Seong Ki Mun (CARS, 2003)

Safe teleradiology: information assurance as project planning methodology. - Jeffery Collmann; Adil Laui; Dan Nguyen; David Lindisch (CARS, 2003)

Case Report: Safe Teleradiology: Information Assurance as Project Planning Methodology. - Jeffery Collmann; Adil Alaoui; Dan Nguyen; David Lindisch (J. Am. Medical Informatics Assoc., 2005)

Identification of static and dynamic muscle activation patterns for intuitive human/computer interfaces. - Fred Clark Jr.; Dan Nguyen; Gutemberg Guerra-Filho; Manfred Huber (PETRA, 2010)

Fitting and Estimating Parameter Confidence Limits with Sherpa. - Brian Refsdal; Stephen Doe; Dan Nguyen; Aneta Siemiginowska (SciPy, 2011)

Transmission strategies for full duplex multiuser MIMO systems. - Dan Nguyen; Le-Nam Tran; Pekka Pirinen; Matti Latva-aho (ICC, 2012)

Precoding for Full Duplex Multiuser MIMO Systems: Spectral and Energy Efficiency Maximization. - Dan Nguyen; Le-Nam Tran; Pekka Pirinen; Matti Latva-aho (IEEE Trans. Signal Process., 2013)

19.1 A 128Gb MLC NAND-Flash device using 16nm planar cell. - Mark Helm; Jae-Kwan Park; Ali Ghalam; Jason Guo; Chang-Wan Ha; Cairong Hu; Heonwook Kim; Kalyan Kavalipurapu; Eric Lee; Ali Mohammadzadeh; Dan Nguyen; Vipul Patel; et al. (ISSCC, 2014)

SOCP approaches to joint subcarrier allocation and precoder design for downlink OFDMA systems. - Dan Nguyen; Le-Nam Tran; Pekka Pirinen; Matti Latva-aho (WCNC, 2014)

On the Spectral Efficiency of Full-Duplex Small Cell Wireless Systems. - Dan Nguyen; Le-Nam Tran; Pekka Pirinen; Matti Latva-aho (IEEE Trans. Wirel. Commun., 2014)

7.7 A 768Gb 3b/cell 3D-floating-gate NAND flash memory. - Tomoharu Tanaka; Mark Helm; Tommaso Vali; Ramin Ghodsi; Koichi Kawai; Jae-Kwan Park; Shigekazu Yamada; Feng Pan; Yuichi Einaga; Ali Ghalam; Toru Tanzawa; Jason Guo; et al. (ISSCC, 2016)

Dose Prediction with U-net: A Feasibility Study for Predicting Dose Distributions from Contours using Deep Learning on Prostate IMRT Patients. - Dan Nguyen; Troy Long; Xun Jia; Weiguo Lu; Xuejun Gu; Zohaib Iqbal; Steve B. Jiang (CoRR, 2017)

Accurate Real Time Localization Tracking in A Clinical Environment using Bluetooth Low Energy and Deep Learning. - Zohaib Iqbal; Da Luo; Peter Henry; Samaneh Kazemifar; Timothy Rozario; Yulong Yan; Kenneth Westover; Weiguo Lu; Dan Nguyen; Troy Long; Jing Wang 022; Hak Choy; et al. (CoRR, 2017)

PSPChord - A Novel Fault Tolerance Approach for P2P Overlay Network. - Dan Nguyen; Nhat Hoang; Binh Minh Nguyen; Viet D. Tran (SmartCom, 2018)

Deep BOO! Automating Beam Orientation Optimization in Intensity-Modulated Radiation Therapy. - Olalekan P. Ogunmolu; Michael Folkerts; Dan Nguyen; Nicholas R. Gans; Steve B. Jiang (WAFR, 2018)

Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture. - Dan Nguyen; Xun Jia; David J. Sher; Mu-Han Lin; Zohaib Iqbal; Hui Liu; Steve B. Jiang (CoRR, 2018)

Fully Automated Organ Segmentation in Male Pelvic CT Images. - Anjali Balagopal; Samaneh Kazemifar; Dan Nguyen; Mu-Han Lin; Raquibul Hannan; Amir Owrangi; Steve B. Jiang (CoRR, 2018)

Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations. - Ana M. Barragan-Montero; Dan Nguyen; Weiguo Lu; Mu-Han Lin; Xavier Geets; Edmond Sterpin; Steve B. Jiang (CoRR, 2018)

Application of deep neural networks for automatic planning in radiation oncology treatments. - Ana M. Barragan-Montero; Dan Nguyen; Weiguo Lu; Mu-Han Lin; Xavier Geets; Edmond Sterpin; Steve B. Jiang (ESANN, 2019)

Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation. - Xiaoqian Jia; Sicheng Wang 003; Xiao Liang; Anjali Balagopal; Dan Nguyen; Ming Yang 008; Zhangyang Wang; Jim Xiuquan Ji; Xiaoning Qian; Steve B. Jiang (MICCAI (6), 2019)

Individualized 3D Dose Distribution Prediction Using Deep Learning. - Jianhui Ma; Ti Bai; Dan Nguyen; Michael Folkerts; Xun Jia; Weiguo Lu; Linghong Zhou; Steve B. Jiang (AIRT@MICCAI, 2019)

Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning. - Dan Nguyen; Azar Sadeghnejad-Barkousaraie; Chenyang Shen; Xun Jia; Steve B. Jiang (MICCAI (6), 2019)

Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy. - Azar Sadeghnejad-Barkousaraie; Olalekan P. Ogunmolu; Steve B. Jiang; Dan Nguyen (AIRT@MICCAI, 2019)

A Novel Deep Learning Framework for Standardizing the Label of OARs in CT. - Qiming Yang; Hongyang Chao; Dan Nguyen; Steve B. Jiang (AIRT@MICCAI, 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. - Dan Nguyen; Rafe McBeth; Azar Sadeghnejad-Barkousaraie; Gyanendra Bohara; Chenyang Shen; Xun Jia; Steve B. Jiang (CoRR, 2019)

Mining Domain Knowledge: Improved Framework Towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy. - Qiming Yang; Hongyang Chao; Dan Nguyen; Steve B. Jiang (IEEE Access, 2020)

Probabilistic self-learning framework for Low-dose CT Denoising. - Ti Bai; Dan Nguyen; Biling Wang; Steve B. Jiang (CoRR, 2020)

Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy. - Gyanendra Bohara; Azar Sadeghnejad-Barkousaraie; Steve B. Jiang; Dan Nguyen (CoRR, 2020)

Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model Adaptation to Different Treatment Planning Practices. - Roya Norouzi Kandalan; Dan Nguyen; Nima Hassan Rezaeian; Ana M. Barragan-Montero; Sebastiaan Breedveld; Kamesh Namuduri; Steve B. Jiang; Mu-Han Lin (CoRR, 2020)

Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks. - Dan Nguyen; Azar Sadeghnejad-Barkousaraie; Gyanendra Bohara; Anjali Balagopal; Rafe McBeth; Mu-Han Lin; Steve B. Jiang (CoRR, 2020)

PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes. - Anjali Balagopal; Howard E. Morgan; Michael Dohopolski; Ramsey Timmerman; Jie Shan; Daniel F. Heitjan; Wei Liu; Dan Nguyen; Raquibul Hannan; Aurelie Garant; Neil Desai; Steve B. Jiang (Artif. Intell. Medicine, 2021)

Deep High-Resolution Network for Low Dose X-ray CT Denoising. - Ti Bai; Dan Nguyen; Biling Wang; Steve B. Jiang (CoRR, 2021)

Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning based simulation study. - Anjali Balagopal; Dan Nguyen; Maryam Mashayekhi; Howard E. Morgan; Aurelie Garant; Neil Desai; Raquibul Hannan; Mu-Han Lin; Steve B. Jiang (CoRR, 2021)

PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume. - Anjali Balagopal; Howard E. Morgan; Michael Dohopolski; Ramsey Timmerman; Jie Shan; Daniel F. Heitjan; Wei Liu; Dan Nguyen; Raquibul Hannan; Aurelie Garant; Neil Desai; Steve B. Jiang (CoRR, 2021)

Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy. - Jaehee Chun; Justin C. Park; Sven Olberg; You Zhang 003; Dan Nguyen; Jing Wang 022; Jin Sung Kim; Steve B. Jiang (CoRR, 2021)

Latent Space Arc Therapy Optimization. - Noah Bice; Mohamad Fakhreddine; Ruiqi Li; Dan Nguyen; Christopher Kabat; Pamela Myers; Niko Papanikolaou; Neil Kirby (CoRR, 2021)

Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks. - Maryam Mashayekhi; Itzel Ramirez Tapia; Anjali Balagopal; Xinran Zhong; Azar Sadeghnejad-Barkousaraie; Rafe McBeth; Mu-Han Lin; Steve B. Jiang; Dan Nguyen (CoRR, 2021)

A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision. - Ti Bai; Anjali Balagopal; Michael Dohopolski; Howard E. Morgan; Rafe McBeth; Jun Tan; Mu-Han Lin; David J. Sher; Dan Nguyen; Steve B. Jiang (CoRR, 2021)

Deep Learning-Based COVID-19 Pneumonia Classification Using Chest CT Images: Model Generalizability. - Dan Nguyen; Fernando Kay; Jun Tan; Yulong Yan; Yee Seng Ng; Puneeth Iyengar; Ron Peshock; Steve B. Jiang (Frontiers Artif. Intell., 2021)

A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy. - Anjali Balagopal; Dan Nguyen; Howard E. Morgan; Yaochung Weng; Michael Dohopolski; Mu-Han Lin; Azar Sadeghnejad-Barkousaraie; Yesenia Gonzalez; Aurelie Garant; Neil Desai; Raquibul Hannan; Steve B. Jiang (Medical Image Anal., 2021)

Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach. - Yesenia Gonzalez; Chenyang Shen; Hyunuk Jung; Dan Nguyen; Steve B. Jiang; Kevin Albuquerque; Xun Jia (Medical Image Anal., 2021)

Deep dose plugin: towards real-time Monte Carlo dose calculation through a deep learning-based denoising algorithm. - Ti Bai; Biling Wang; Dan Nguyen; Steve B. Jiang (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. - Xiao Liang; Dan Nguyen; Steve B. Jiang (Mach. Learn. Sci. Technol., 2021)

A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy. - Azar Sadeghnejad-Barkousaraie; Gyanendra Bohara; Steve B. Jiang; Dan Nguyen (Mach. Learn. Sci. Technol., 2021)

Improving proton dose calculation accuracy by using deep learning. - Chao Wu; Dan Nguyen; Yixun Xing; Ana M. Barragan-Montero; Jan Schuemann; Haijiao Shang; Yuehu Pu; Steve B. Jiang (Mach. Learn. Sci. Technol., 2021)

Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. - Ti Bai; Biling Wang; Dan Nguyen; Bao Wang 001; Bin Dong 001; Wenxiang Cong; Mannudeep K. Kalra; Steve B. Jiang (IEEE Trans. Medical Imaging, 2021)

Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement. - Anthony Wang; Ti Bai; Dan Nguyen; Steve B. Jiang (HECKTOR@MICCAI, 2022)

Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy. - Xiao Liang; Jaehee Chun; Howard E. Morgan; Ti Bai; Dan Nguyen; Justin C. Park; Steve B. Jiang (CoRR, 2022)

OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. - Aaron Babier; Rafid Mahmood; Binghao Zhang; Victor Gabriel Leandro Alves; Ana Maria Barragán-Montero; Joel Beaudry; Carlos E. Cardenas S.; Yankui Chang; Zijie Chen; Jaehee Chun; Kelly Diaz; Harold David Eraso; et al. (CoRR, 2022)

Region Specific Optimization (RSO)-based Deep Interactive Registration. - Ti Bai; Mu-Han Lin; Xiao Liang; Biling Wang; Michael Dohopolski; Bin Cai; Dan Nguyen; Steve B. Jiang (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. - Xiao Liang; Howard E. Morgan; Ti Bai; Michael Dohopolski; Dan Nguyen; Steve B. Jiang (CoRR, 2022)

Uncertainty estimations methods for a deep learning model to aid in clinical decision-making - a clinician's perspective. - Michael Dohopolski; Kai Wang 053; Biling Wang; Ti Bai; Dan Nguyen; David J. Sher; Steve B. Jiang; Jing Wang 022 (CoRR, 2022)

Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy. - Biling Wang; Michael Dohopolski; Ti Bai; Junjie Wu; Raquibul Hannan; Neil Desai; Aurelie Garant; Dan Nguyen; Xinlei Wang; Mu-Han Lin; Robert Timmerman; Steve B. Jiang (CoRR, 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. - Qiyuan An; Rafe McBeth; Houliang Zhou; Bryan Lawlor; Dan Nguyen; Steve B. Jiang; Mark S. Link; Yingying Zhu 004 (Sensors, 2022)

Deep Learning (DL)-based Automatic Segmentation of the Internal Pudendal Artery (IPA) for Reduction of Erectile Dysfunction in Definitive Radiotherapy of Localized Prostate Cancer. - Anjali Balagopal; Michael Dohopolski; Young Suk Kwon; Steven Montalvo; Howard E. Morgan; Ti Bai; Dan Nguyen; Xiao Liang; Xinran Zhong; Mu-Han Lin; Neil Desai; Steve B. Jiang (CoRR, 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. - Margerie Huet-Dastarac; Dan Nguyen; Steve B. Jiang; John A. Lee 001; Ana M. Barragan-Montero (CoRR, 2023)

Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net. - Shunyu Yan; Austen Maniscalco; Biling Wang; Dan Nguyen; Steve B. Jiang; Chenyang Shen (Mach. Learn. Sci. Technol., 2024)

Prior guided deep difference meta-learner for fast adaptation to stylized segmentation. - Dan Nguyen; Anjali Balagopal; Ti Bai; Michael Dohopolski; Mu-Han Lin; Steve B. Jiang (Mach. Learn. Sci. Technol., 2025)

Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer. - Hengrui Zhao; Biling Wang; Michael Dohopolski; Ti Bai; Steve B. Jiang; Dan Nguyen (Mach. Learn. Sci. Technol., 2025)

Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework. - Hengrui Zhao; Biling Wang; Deepkumar Mistry; Jing Wang 022; Michael Dohopolski; Daniel Yang; Weiguo Lu; Steve B. Jiang; Dan Nguyen (Mach. Learn. Sci. Technol., 2025)

AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality. - Biling Wang; Austen Maniscalco; Ti Bai; Siqiu Wang; Michael Dohopolski; Mu-Han Lin; Chenyang Shen; Dan Nguyen; Junzhou Huang; Steve B. Jiang; Xinlei Wang (CoRR, 2025)