Dan Nguyen - RankMe

74 papers B 2C 1Journal 55Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Preparing for Pandemics with Large Language Models: An Evaluation of Sensitivity Across COVID-19, Zika, and Monkeypox Case Reports. J. Medical Syst. Dan Nguyen, Arya S. Rao, Aneesh Mazumder, Bianca Arraiza, Alex Aldrich, William Marks, Marc D. Succi
2025	J	`jnl`	AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality. CoRR Biling Wang, Austen Maniscalco, Ti Bai, Siqiu Wang, Michael Dohopolski, Mu-Han Lin, Chenyang Shen, Dan Nguyen, Junzhou Huang, Steve B. Jiang, Xinlei Wang
2025	J	`jnl`	Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer. Mach. Learn. Sci. Technol. Hengrui Zhao, Biling Wang, Michael Dohopolski, Ti Bai, Steve B. Jiang, Dan Nguyen
2025	—	`conf`	Leveraging Deep AUC Maximisation for Enhanced Active Learning in Named Entity Recognition. ADMA (2) Wei Tan, Dan Nguyen, Chen Li, Wray L. Buntine, Haifeng Zhao, Lan Du
2025	J	`jnl`	Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework. Mach. Learn. Sci. Technol. Hengrui Zhao, Biling Wang, Deepkumar Mistry, Jing Wang, Michael Dohopolski, Daniel Yang, Weiguo Lu, Steve B. Jiang, Dan Nguyen
2025	J	`jnl`	Prior guided deep difference meta-learner for fast adaptation to stylized segmentation. Mach. Learn. Sci. Technol. Dan Nguyen, Anjali Balagopal, Ti Bai, Michael Dohopolski, Mu-Han Lin, Steve B. Jiang
2024	J	`jnl`	Performance deterioration of deep learning models after clinical deployment: a case study with auto-segmentation for definitive prostate cancer radiotherapy. Mach. Learn. Sci. Technol. Biling Wang, Michael Dohopolski, Ti Bai, Junjie Wu, Raquibul Hannan, Neil Desai, Aurelie Garant, Daniel Yang, Dan Nguyen, Mu-Han Lin, Robert Timmerman, Xinlei Wang, Steve B. Jiang
2024	J	`jnl`	Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net. Mach. Learn. Sci. Technol. Shunyu Yan, Austen Maniscalco, Biling Wang, Dan Nguyen, Steve B. Jiang, Chenyang Shen
2023	J	`jnl`	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 Margerie Huet-Dastarac, Dan Nguyen, Steve B. Jiang, John A. Lee, Ana M. Barragan-Montero
2023	J	`jnl`	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 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
2022	J	`jnl`	Exploring the combination of deep-learning based direct segmentation and deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy. CoRR Xiao Liang, Howard E. Morgan, Ti Bai, Michael Dohopolski, Dan Nguyen, Steve B. Jiang
2022	—	`conf`	Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement. HECKTOR@MICCAI Anthony Wang, Ti Bai, Dan Nguyen, Steve B. Jiang
2022	J	`jnl`	OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. CoRR 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, Erik Faustmann, Sibaji Gaj, Skylar S. Gay, Mary Gronberg, Bingqi Guo, Junjun He, Gerd Heilemann, Sanchit Hira, Yuliang Huang, Fuxin Ji, Dashan Jiang, Jean Carlo Jimenez Giraldo, Hoyeon Lee, Jun Lian, Shuolin Liu, Keng-Chi Liu, José Marrugo, Kentaro Miki, Kunio Nakamura, Tucker J. Netherton, Dan Nguyen, Hamidreza Nourzadeh, Alexander F. I. Osman, Zhao Peng, José Darío Quinto Muñoz, Christian Ramsl, Dong Joo Rhee, Juan David Rodriguez, Hongming Shan, Jeffrey V. Siebers, Mumtaz Hussain Soomro, Kay Sun, Andrés Usuga Hoyos, Carlos Valderrama, Rob Verbeek, Enpei Wang, Siri Willems, Qi Wu, Xuanang Xu, Sen Yang, Lulin Yuan, Simeng Zhu, Lukas Zimmermann, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan
2022	J	`jnl`	Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy. CoRR 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
2022	J	`jnl`	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 Qiyuan An, Rafe McBeth, Houliang Zhou, Bryan Lawlor, Dan Nguyen, Steve B. Jiang, Mark S. Link, Yingying Zhu
2022	J	`jnl`	Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation. CoRR Anjali Balagopal, Dan Nguyen, Ti Bai, Michael Dohopolski, Mu-Han Lin, Steve B. Jiang
2022	J	`jnl`	Region Specific Optimization (RSO)-based Deep Interactive Registration. CoRR Ti Bai, Mu-Han Lin, Xiao Liang, Biling Wang, Michael Dohopolski, Bin Cai, Dan Nguyen, Steve B. Jiang
2022	J	`jnl`	Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy. CoRR Xiao Liang, Jaehee Chun, Howard E. Morgan, Ti Bai, Dan Nguyen, Justin C. Park, Steve B. Jiang
2022	J	`jnl`	Uncertainty estimations methods for a deep learning model to aid in clinical decision-making - a clinician's perspective. CoRR Michael Dohopolski, Kai Wang, Biling Wang, Ti Bai, Dan Nguyen, David J. Sher, Steve B. Jiang, Jing Wang
2021	J	`jnl`	A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision. CoRR Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E. Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J. Sher, Dan Nguyen, Steve B. Jiang
2021	J	`jnl`	A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy. Medical Image Anal. 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
2021	J	`jnl`	A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy. Mach. Learn. Sci. Technol. Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Steve B. Jiang, Dan Nguyen
2021	J	`jnl`	Deep High-Resolution Network for Low Dose X-ray CT Denoising. CoRR Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang
2021	J	`jnl`	Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. IEEE Trans. Medical Imaging Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang
2021	J	`jnl`	Deep Learning-Based COVID-19 Pneumonia Classification Using Chest CT Images: Model Generalizability. Frontiers Artif. Intell. Dan Nguyen, Fernando Kay, Jun Tan, Yulong Yan, Yee Seng Ng, Puneeth Iyengar, Ron Peshock, Steve B. Jiang
2021	J	`jnl`	Deep dose plugin: towards real-time Monte Carlo dose calculation through a deep learning-based denoising algorithm. Mach. Learn. Sci. Technol. Ti Bai, Biling Wang, Dan Nguyen, Steve B. Jiang
2021	J	`jnl`	Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability. CoRR Dan Nguyen, Fernando Kay, Jun Tan, Yulong Yan, Yee Seng Ng, Puneeth Iyengar, Ron Peshock, Steve B. Jiang
2021	J	`jnl`	Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning based simulation study. CoRR Anjali Balagopal, Dan Nguyen, Maryam Mashayekhi, Howard E. Morgan, Aurelie Garant, Neil Desai, Raquibul Hannan, Mu-Han Lin, Steve B. Jiang
2021	J	`jnl`	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. Xiao Liang, Dan Nguyen, Steve B. Jiang
2021	J	`jnl`	Improving proton dose calculation accuracy by using deep learning. Mach. Learn. Sci. Technol. Chao Wu, Dan Nguyen, Yixun Xing, Ana M. Barragan-Montero, Jan Schuemann, Haijiao Shang, Yuehu Pu, Steve B. Jiang
2021	J	`jnl`	Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy. CoRR Jaehee Chun, Justin C. Park, Sven Olberg, You Zhang, Dan Nguyen, Jing Wang, Jin Sung Kim, Steve B. Jiang
2021	J	`jnl`	Latent Space Arc Therapy Optimization. CoRR Noah Bice, Mohamad Fakhreddine, Ruiqi Li, Dan Nguyen, Christopher Kabat, Pamela Myers, Niko Papanikolaou, Neil Kirby
2021	J	`jnl`	PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume. CoRR 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
2021	J	`jnl`	PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes. Artif. Intell. Medicine 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
2021	J	`jnl`	Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach. Medical Image Anal. Yesenia Gonzalez, Chenyang Shen, Hyunuk Jung, Dan Nguyen, Steve B. Jiang, Kevin Albuquerque, Xun Jia
2021	J	`jnl`	Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks. CoRR Maryam Mashayekhi, Itzel Ramirez Tapia, Anjali Balagopal, Xinran Zhong, Azar Sadeghnejad-Barkousaraie, Rafe McBeth, Mu-Han Lin, Steve B. Jiang, Dan Nguyen
2020	J	`jnl`	A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy. CoRR 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
2020	J	`jnl`	A reinforcement learning application of guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy. CoRR Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Steve B. Jiang, Dan Nguyen
2020	J	`jnl`	Deep Dose Plugin Towards Real-time Monte Carlo Dose Calculation Through a Deep Learning based Denoising Algorithm. CoRR Ti Bai, Biling Wang, Dan Nguyen, Steve B. Jiang
2020	J	`jnl`	Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. CoRR Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang
2020	J	`jnl`	Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model Adaptation to Different Treatment Planning Practices. CoRR Roya Norouzi Kandalan, Dan Nguyen, Nima Hassan Rezaeian, Ana M. Barragan-Montero, Sebastiaan Breedveld, Kamesh Namuduri, Steve B. Jiang, Mu-Han Lin
2020	J	`jnl`	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. CoRR Xiao Liang, Dan Nguyen, Steve B. Jiang
2020	J	`jnl`	Mining Domain Knowledge: Improved Framework Towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy. IEEE Access Qiming Yang, Hongyang Chao, Dan Nguyen, Steve B. Jiang
2020	J	`jnl`	Probabilistic self-learning framework for Low-dose CT Denoising. CoRR Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang
2020	J	`jnl`	Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy. CoRR Gyanendra Bohara, Azar Sadeghnejad-Barkousaraie, Steve B. Jiang, Dan Nguyen
2020	J	`jnl`	Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks. CoRR Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Anjali Balagopal, Rafe McBeth, Mu-Han Lin, Steve B. Jiang
2019	—	`conf`	A Novel Deep Learning Framework for Standardizing the Label of OARs in CT. AIRT@MICCAI Qiming Yang, Hongyang Chao, Dan Nguyen, Steve B. Jiang
2019	B	`conf`	Application of deep neural networks for automatic planning in radiation oncology treatments. ESANN Ana M. Barragan-Montero, Dan Nguyen, Weiguo Lu, Mu-Han Lin, Xavier Geets, Edmond Sterpin, Steve B. Jiang
2019	—	`ed.`	Artificial Intelligence in Radiation Therapy - First International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings AIRT@MICCAI Dan Nguyen, Lei Xing, Steve B. Jiang
2019	—	`conf`	Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation. MICCAI (6) Xiaoqian Jia, Sicheng Wang, Xiao Liang, Anjali Balagopal, Dan Nguyen, Ming Yang, Zhangyang Wang, Jim Xiuquan Ji, Xiaoning Qian, Steve B. Jiang
2019	—	`conf`	Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning. MICCAI (6) Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Chenyang Shen, Xun Jia, Steve B. Jiang
2019	J	`jnl`	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 Dan Nguyen, Rafe McBeth, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Chenyang Shen, Xun Jia, Steve B. Jiang
2019	—	`conf`	Individualized 3D Dose Distribution Prediction Using Deep Learning. AIRT@MICCAI Jianhui Ma, Ti Bai, Dan Nguyen, Michael Folkerts, Xun Jia, Weiguo Lu, Linghong Zhou, Steve B. Jiang
2019	J	`jnl`	Mining Domain Knowledge: Improved Framework towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy. CoRR Qiming Yang, Hongyang Chao, Dan Nguyen, Steve B. Jiang
2019	—	`conf`	Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy. AIRT@MICCAI Azar Sadeghnejad-Barkousaraie, Olalekan P. Ogunmolu, Steve B. Jiang, Dan Nguyen
2018	C	`conf`	Deep BOO! Automating Beam Orientation Optimization in Intensity-Modulated Radiation Therapy. WAFR Olalekan P. Ogunmolu, Michael Folkerts, Dan Nguyen, Nicholas R. Gans, Steve B. Jiang
2018	J	`jnl`	Fully Automated Organ Segmentation in Male Pelvic CT Images. CoRR Anjali Balagopal, Samaneh Kazemifar, Dan Nguyen, Mu-Han Lin, Raquibul Hannan, Amir Owrangi, Steve B. Jiang
2018	—	`conf`	PSPChord - A Novel Fault Tolerance Approach for P2P Overlay Network. SmartCom Dan Nguyen, Nhat Hoang, Binh Minh Nguyen, Viet D. Tran
2018	J	`jnl`	Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations. CoRR Ana M. Barragan-Montero, Dan Nguyen, Weiguo Lu, Mu-Han Lin, Xavier Geets, Edmond Sterpin, Steve B. Jiang
2018	J	`jnl`	Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture. CoRR Dan Nguyen, Xun Jia, David J. Sher, Mu-Han Lin, Zohaib Iqbal, Hui Liu, Steve B. Jiang
2017	J	`jnl`	Accurate Real Time Localization Tracking in A Clinical Environment using Bluetooth Low Energy and Deep Learning. CoRR Zohaib Iqbal, Da Luo, Peter Henry, Samaneh Kazemifar, Timothy Rozario, Yulong Yan, Kenneth Westover, Weiguo Lu, Dan Nguyen, Troy Long, Jing Wang, Hak Choy, Steve B. Jiang
2017	J	`jnl`	Dose Prediction with U-net: A Feasibility Study for Predicting Dose Distributions from Contours using Deep Learning on Prostate IMRT Patients. CoRR Dan Nguyen, Troy Long, Xun Jia, Weiguo Lu, Xuejun Gu, Zohaib Iqbal, Steve B. Jiang
2016	—	`conf`	7.7 A 768Gb 3b/cell 3D-floating-gate NAND flash memory. ISSCC 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, Takaaki Ichikawa, Erwin Yu, Satoru Tamada, Tetsuji Manabe, Jiro Kishimoto, Yoko Oikawa, Yasuhiro Takashima, Hidehiko Kuge, Midori Morooka, Ali Mohammadzadeh, Jong Kang, Jeff Tsai, Emanuele Sirizotti, Eric Lee, Luyen Vu, Yuxing Liu, Hoon Choi, Kwonsu Cheon, Daesik Song, Daniel Shin, Jung Hee Yun, Michele Piccardi, Kim-Fung Chan, Yogesh Luthra, Dheeraj Srinivasan, Srinivasarao Deshmukh, Kalyan Kavalipurapu, Dan Nguyen, Girolamo Gallo, Sumant Ramprasad, Michelle Luo, Qiang Tang, Michele Incarnati, Agostino Macerola, Luigi Pilolli, Luca De Santis, Massimo Rossini, Violante Moschiano, Giovanni Santin, Bernardino Tronca, Hyunseok Lee, Vipul Patel, Ted Pekny, Aaron Yip, Naveen Prabhu, Purval Sule, Trupti Bemalkhedkar, Kiranmayee Upadhyayula, Camila Jaramillo
2014	—	`conf`	19.1 A 128Gb MLC NAND-Flash device using 16nm planar cell. ISSCC 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, Ted Pekny, Bill Saiki, Daesik Song, Jeff Tsai, Vimon Viajedor, Luyen Vu, Tinwai Wong, Jung Hee Yun, Ramin Ghodsi, Andrea D'Alessandro, Domenico Di Cicco, Violante Moschiano
2014	J	`jnl`	On the Spectral Efficiency of Full-Duplex Small Cell Wireless Systems. CoRR Dan Nguyen, Le-Nam Tran, Pekka Pirinen, Matti Latva-aho
2014	J	`jnl`	On the Spectral Efficiency of Full-Duplex Small Cell Wireless Systems. IEEE Trans. Wirel. Commun. Dan Nguyen, Le-Nam Tran, Pekka Pirinen, Matti Latva-aho
2014	B	`conf`	SOCP approaches to joint subcarrier allocation and precoder design for downlink OFDMA systems. WCNC Dan Nguyen, Le-Nam Tran, Pekka Pirinen, Matti Latva-aho
2013	J	`jnl`	Precoding for Full Duplex Multiuser MIMO Systems: Spectral and Energy Efficiency Maximization. IEEE Trans. Signal Process. Dan Nguyen, Le-Nam Tran, Pekka Pirinen, Matti Latva-aho
2012	—	`conf`	Transmission strategies for full duplex multiuser MIMO systems. ICC Dan Nguyen, Le-Nam Tran, Pekka Pirinen, Matti Latva-aho
2011	—	`conf`	Fitting and Estimating Parameter Confidence Limits with Sherpa. SciPy Brian Refsdal, Stephen Doe, Dan Nguyen, Aneta Siemiginowska
2010	—	`conf`	Identification of static and dynamic muscle activation patterns for intuitive human/computer interfaces. PETRA Fred Clark Jr., Dan Nguyen, Gutemberg Guerra-Filho, Manfred Huber
2005	J	`jnl`	Case Report: Safe Teleradiology: Information Assurance as Project Planning Methodology. J. Am. Medical Informatics Assoc. Jeffery Collmann, Adil Alaoui, Dan Nguyen, David Lindisch
2003	—	`conf`	Implementing a secure teleradiology dystem using the internet. CARS Adil Alaoui, Jeffery Collmann, Dan Nguyen, David Lindisch, R. T. Nishant Subbiah, Albert Green, Jeffrey Johnson, Seong Ki Mun
2003	—	`conf`	Safe teleradiology: information assurance as project planning methodology. CARS Jeffery Collmann, Adil Laui, Dan Nguyen, David Lindisch