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2020 – today
- 2023
[i34]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:
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 abs/2302.01493 (2023)- [i33]Margerie Huet-Dastarac, Dan Nguyen, Steve B. Jiang, John A. Lee, Ana M. Barragan-Montero:
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 abs/2310.19686 (2023) - 2022
- [j14]Qiyuan An, Rafe McBeth, Houliang Zhou
, Bryan Lawlor, Dan Nguyen, Steve B. Jiang, Mark S. Link, Yingying Zhu:
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 22(11): 4058 (2022) - [c17]Anthony Wang, Ti Bai, Dan Nguyen, Steve B. Jiang:
Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement. HECKTOR@MICCAI 2022: 54-60 - [i32]Xiao Liang, Jaehee Chun, Howard E. Morgan, Ti Bai, Dan Nguyen, Justin C. Park, Steve B. Jiang:
Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy. CoRR abs/2202.03978 (2022) - [i31]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:
OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. CoRR abs/2202.08303 (2022) - [i30]Ti Bai, Mu-Han Lin, Xiao Liang, Biling Wang, Michael Dohopolski, Bin Cai, Dan Nguyen, Steve B. Jiang:
Region Specific Optimization (RSO)-based Deep Interactive Registration. CoRR abs/2203.04295 (2022) - [i29]Xiao Liang, Howard E. Morgan, Ti Bai, Michael Dohopolski, Dan Nguyen, Steve B. Jiang:
Exploring the combination of deep-learning based direct segmentation and deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy. CoRR abs/2206.03413 (2022) - [i28]Michael Dohopolski, Kai Wang, Biling Wang, Ti Bai, Dan Nguyen, David J. Sher, Steve B. Jiang, Jing Wang:
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making - a clinician's perspective. CoRR abs/2210.00589 (2022) - [i27]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:
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy. CoRR abs/2210.05673 (2022) - [i26]Anjali Balagopal, Dan Nguyen, Ti Bai, Michael Dohopolski, Mu-Han Lin, Steve B. Jiang:
Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation. CoRR abs/2211.10588 (2022) - 2021
- [j13]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:
PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes. Artif. Intell. Medicine 121: 102195 (2021) - [j12]Dan Nguyen, Fernando Kay, Jun Tan, Yulong Yan, Yee Seng Ng, Puneeth Iyengar, Ron Peshock, Steve B. Jiang:
Deep Learning-Based COVID-19 Pneumonia Classification Using Chest CT Images: Model Generalizability. Frontiers Artif. Intell. 4: 694875 (2021) - [j11]Yesenia Gonzalez, Chenyang Shen, Hyunuk Jung, Dan Nguyen, Steve B. Jiang, Kevin Albuquerque, Xun Jia:
Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach. Medical Image Anal. 68: 101896 (2021) - [j10]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:
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy. Medical Image Anal. 72: 102101 (2021) - [j9]Xiao Liang, Dan Nguyen, Steve B. Jiang:
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. 2(1): 15007 (2021) - [j8]Chao Wu, Dan Nguyen, Yixun Xing, Ana M. Barragan-Montero, Jan Schuemann, Haijiao Shang, Yuehu Pu, Steve B. Jiang:
Improving proton dose calculation accuracy by using deep learning. Mach. Learn. Sci. Technol. 2(1): 15017 (2021) - [j7]Ti Bai, Biling Wang, Dan Nguyen, Steve B. Jiang:
Deep dose plugin: towards real-time Monte Carlo dose calculation through a deep learning-based denoising algorithm. Mach. Learn. Sci. Technol. 2(2): 25033 (2021) - [j6]Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Steve B. Jiang, Dan Nguyen:
A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy. Mach. Learn. Sci. Technol. 2(3): 35013 (2021) - [j5]Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang:
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. IEEE Trans. Medical Imaging 40(11): 2965-2975 (2021) - [i25]Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang:
Deep High-Resolution Network for Low Dose X-ray CT Denoising. CoRR abs/2102.00599 (2021) - [i24]Anjali Balagopal, Dan Nguyen, Maryam Mashayekhi, Howard E. Morgan, Aurelie Garant, Neil Desai, Raquibul Hannan, Mu-Han Lin, Steve B. Jiang:
Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning based simulation study. CoRR abs/2102.01006 (2021) - [i23]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:
PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume. CoRR abs/2102.07880 (2021) - [i22]Dan Nguyen, Fernando Kay, Jun Tan, Yulong Yan, Yee Seng Ng, Puneeth Iyengar, Ron Peshock, Steve B. Jiang:
Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability. CoRR abs/2102.09616 (2021) - [i21]Jaehee Chun, Justin C. Park, Sven Olberg, You Zhang, Dan Nguyen, Jing Wang, Jin Sung Kim, Steve B. Jiang:
Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy. CoRR abs/2104.11401 (2021) - [i20]Noah Bice, Mohamad Fakhreddine, Ruiqi Li, Dan Nguyen, Christopher Kabat, Pamela Myers, Niko Papanikolaou, Neil Kirby:
Latent Space Arc Therapy Optimization. CoRR abs/2106.05846 (2021) - [i19]Maryam Mashayekhi, Itzel Ramirez Tapia, Anjali Balagopal, Xinran Zhong, Azar Sadeghnejad-Barkousaraie, Rafe McBeth, Mu-Han Lin, Steve B. Jiang, Dan Nguyen:
Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks. CoRR abs/2106.07825 (2021) - [i18]Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E. Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J. Sher, Dan Nguyen, Steve B. Jiang:
A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision. CoRR abs/2107.13465 (2021) - 2020
- [j4]Qiming Yang, Hongyang Chao, Dan Nguyen, Steve B. Jiang:
Mining Domain Knowledge: Improved Framework Towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy. IEEE Access 8: 105286-105300 (2020) - [i17]Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Steve B. Jiang, Dan Nguyen:
A reinforcement learning application of guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy. CoRR abs/2004.06244 (2020) - [i16]Xiao Liang, Dan Nguyen, Steve B. Jiang:
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 abs/2004.07700 (2020) - [i15]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:
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy. CoRR abs/2004.13294 (2020) - [i14]Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang:
Probabilistic self-learning framework for Low-dose CT Denoising. CoRR abs/2006.00327 (2020) - [i13]Gyanendra Bohara, Azar Sadeghnejad-Barkousaraie, Steve B. Jiang, Dan Nguyen:
Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy. CoRR abs/2006.11236 (2020) - [i12]Roya Norouzi Kandalan, Dan Nguyen, Nima Hassan Rezaeian, Ana M. Barragan-Montero, Sebastiaan Breedveld, Kamesh Namuduri, Steve B. Jiang, Mu-Han Lin:
Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model Adaptation to Different Treatment Planning Practices. CoRR abs/2006.16481 (2020) - [i11]Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Anjali Balagopal, Rafe McBeth, Mu-Han Lin, Steve B. Jiang:
Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks. CoRR abs/2011.00388 (2020) - [i10]Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang:
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. CoRR abs/2011.14873 (2020) - [i9]Ti Bai, Biling Wang, Dan Nguyen, Steve B. Jiang:
Deep Dose Plugin Towards Real-time Monte Carlo Dose Calculation Through a Deep Learning based Denoising Algorithm. CoRR abs/2011.14959 (2020)
2010 – 2019
- 2019
- [c16]Ana M. Barragan-Montero, Dan Nguyen, Weiguo Lu, Mu-Han Lin, Xavier Geets, Edmond Sterpin, Steve B. Jiang:
Application of deep neural networks for automatic planning in radiation oncology treatments. ESANN 2019 - [c15]Azar Sadeghnejad-Barkousaraie, Olalekan P. Ogunmolu, Steve B. Jiang, Dan Nguyen:
Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy. AIRT@MICCAI 2019: 1-9 - [c14]Qiming Yang, Hongyang Chao, Dan Nguyen, Steve B. Jiang:
A Novel Deep Learning Framework for Standardizing the Label of OARs in CT. AIRT@MICCAI 2019: 52-60 - [c13]Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Chenyang Shen, Xun Jia, Steve B. Jiang:
Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning. MICCAI (6) 2019: 59-67 - [c12]Jianhui Ma, Ti Bai, Dan Nguyen, Michael Folkerts, Xun Jia, Weiguo Lu, Linghong Zhou, Steve B. Jiang:
Individualized 3D Dose Distribution Prediction Using Deep Learning. AIRT@MICCAI 2019: 110-118 - [c11]Xiaoqian Jia, Sicheng Wang, Xiao Liang, Anjali Balagopal, Dan Nguyen, Ming Yang, Zhangyang Wang, Jim Xiuquan Ji, Xiaoning Qian, Steve B. Jiang:
Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation. MICCAI (6) 2019: 567-575 - [e1]Dan Nguyen, Lei Xing, Steve B. Jiang:
Artificial Intelligence in Radiation Therapy - First International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11850, Springer 2019, ISBN 978-3-030-32485-8 [contents] - [i8]Dan Nguyen, Rafe McBeth, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Chenyang Shen, Xun Jia, Steve B. Jiang:
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 abs/1908.05874 (2019) - [i7]Qiming Yang, Hongyang Chao, Dan Nguyen, Steve B. Jiang:
Mining Domain Knowledge: Improved Framework towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy. CoRR abs/1912.02084 (2019) - 2018
- [c10]Dan Nguyen, Nhat Hoang, Binh Minh Nguyen, Viet D. Tran:
PSPChord - A Novel Fault Tolerance Approach for P2P Overlay Network. SmartCom 2018: 386-396 - [c9]Olalekan P. Ogunmolu, Michael Folkerts, Dan Nguyen, Nicholas R. Gans, Steve B. Jiang:
Deep BOO! Automating Beam Orientation Optimization in Intensity-Modulated Radiation Therapy. WAFR 2018: 338-354 - [i6]Dan Nguyen, Xun Jia, David J. Sher, Mu-Han Lin, Zohaib Iqbal, Hui Liu, Steve B. Jiang:
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture. CoRR abs/1805.10397 (2018) - [i5]Anjali Balagopal, Samaneh Kazemifar, Dan Nguyen, Mu-Han Lin, Raquibul Hannan, Amir Owrangi, Steve B. Jiang:
Fully Automated Organ Segmentation in Male Pelvic CT Images. CoRR abs/1805.12526 (2018) - [i4]Ana M. Barragan-Montero, Dan Nguyen, Weiguo Lu, Mu-Han Lin, Xavier Geets, Edmond Sterpin, Steve B. Jiang:
Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations. CoRR abs/1812.06934 (2018) - 2017
- [i3]Dan Nguyen, Troy Long, Xun Jia, Weiguo Lu, Xuejun Gu, Zohaib Iqbal, Steve B. Jiang:
Dose Prediction with U-net: A Feasibility Study for Predicting Dose Distributions from Contours using Deep Learning on Prostate IMRT Patients. CoRR abs/1709.09233 (2017) - [i2]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:
Accurate Real Time Localization Tracking in A Clinical Environment using Bluetooth Low Energy and Deep Learning. CoRR abs/1711.08149 (2017) - 2016
- [c8]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:
7.7 A 768Gb 3b/cell 3D-floating-gate NAND flash memory. ISSCC 2016: 142-144 - 2014
- [j3]Dan Nguyen, Le-Nam Tran, Pekka Pirinen, Matti Latva-aho:
On the Spectral Efficiency of Full-Duplex Small Cell Wireless Systems. IEEE Trans. Wirel. Commun. 13(9): 4896-4910 (2014) - [c7]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:
19.1 A 128Gb MLC NAND-Flash device using 16nm planar cell. ISSCC 2014: 326-327 - [c6]Dan Nguyen, Le-Nam Tran, Pekka Pirinen, Matti Latva-aho:
SOCP approaches to joint subcarrier allocation and precoder design for downlink OFDMA systems. WCNC 2014: 1248-1252 - [i1]Dan Nguyen, Le-Nam Tran, Pekka Pirinen, Matti Latva-aho:
On the Spectral Efficiency of Full-Duplex Small Cell Wireless Systems. CoRR abs/1407.2628 (2014) - 2013
- [j2]Dan Nguyen, Le-Nam Tran, Pekka Pirinen, Matti Latva-aho:
Precoding for Full Duplex Multiuser MIMO Systems: Spectral and Energy Efficiency Maximization. IEEE Trans. Signal Process. 61(16): 4038-4050 (2013) - 2012
- [c5]Dan Nguyen, Le-Nam Tran, Pekka Pirinen, Matti Latva-aho:
Transmission strategies for full duplex multiuser MIMO systems. ICC 2012: 6825-6829 - 2011
- [c4]Brian Refsdal, Stephen Doe, Dan Nguyen, Aneta Siemiginowska:
Fitting and Estimating Parameter Confidence Limits with Sherpa. SciPy 2011: 10-16 - 2010
- [c3]Fred Clark Jr., Dan Nguyen, Gutemberg Guerra-Filho, Manfred Huber:
Identification of static and dynamic muscle activation patterns for intuitive human/computer interfaces. PETRA 2010
2000 – 2009
- 2005
- [j1]Jeffery Collmann, Adil Alaoui, Dan Nguyen, David Lindisch:
Case Report: Safe Teleradiology: Information Assurance as Project Planning Methodology. J. Am. Medical Informatics Assoc. 12(1): 84-89 (2005) - 2003
- [c2]Adil Alaoui, Jeffery Collmann, Dan Nguyen, David Lindisch, R. T. Nishant Subbiah, Albert Green, Jeffrey Johnson, Seong Ki Mun:
Implementing a secure teleradiology dystem using the internet. CARS 2003: 803-808 - [c1]Jeffery Collmann, Adil Laui, Dan Nguyen, David Lindisch:
Safe teleradiology: information assurance as project planning methodology. CARS 2003: 809-814
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