Steve B. Jiang

100 papers A* 1A 1B 1C 5Journal 71Unranked 18

Year	Rank	Type	Title / Venue / Authors
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	J	`jnl`	Exploring Strategies for Personalized Radiation Therapy Part I Unlocking Response-Related Tumor Subregions with Class Activation Mapping. CoRR Hao Peng, Steve B. Jiang, Robert Timmerman
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
2024	J	`jnl`	Zero-Shot Medical Image Translation via Frequency-Guided Diffusion Models. IEEE Trans. Medical Imaging Yunxiang Li, Hua-Chieh Shao, Xiao Liang, Liyuan Chen, Ruiqi Li, Steve B. Jiang, Jing Wang, You Zhang
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
2023	J	`jnl`	Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models. CoRR Yunxiang Li, Hua-Chieh Shao, Xiao Liang, Liyuan Chen, Ruiqi Li, Steve B. Jiang, Jing Wang, You Zhang
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	J	`jnl`	Guest Editorial Special Section on Learning With Multimodal Data for Biomedical Informatics. IEEE Trans. Circuits Syst. Video Technol. Zhangyang Wang, Vishal Patel, Bing Yao, Steve B. Jiang, Huimin Lu, Yang Shen
2022	J	`jnl`	Guest Editorial: ACM JETC Special Issue on Hardware-Aware Learning for Medical Applications. ACM J. Emerg. Technol. Comput. Syst. Yiyu Shi, Yongpan Liu, Jianxu Chen, 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`	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`	Contact Tracing in Healthcare Settings During the COVID-19 Pandemic Using Bluetooth Low Energy and Artificial Intelligence - A Viewpoint. Frontiers Artif. Intell. Guanglin Tang, Kenneth Westover, Steve B. Jiang
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`	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	—	`conf`	Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani
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	—	`ed.`	Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings iMIMIC/MIL3ID/LABELS@MICCAI Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani
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`	Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification. IEEE J. Biomed. Health Informatics Zhiguo Zhou, Shulong Li, Genggeng Qin, Michael Folkert, Steve B. Jiang, Jing Wang
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	—	`conf`	A shell and kernel descriptor based joint deep learning model for predicting breast lesion malignancy. Computer-Aided Diagnosis Zhiguo Zhou, Genggeng Qin, Pingkun Yan, Hongxia Hao, Steve B. Jiang, Jing Wang
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	J	`jnl`	Balancing Robustness and Responsiveness in a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications. CoRR Guanglin Tang, Yulong Yan, Chenyang Shen, Xun Jia, Meyer Zinn, Zipalkumar Trivedi, Alicia Yingling, Kenneth Westover, 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	—	`ed.`	Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings DART/MIL3ID@MICCAI Qian Wang, Fausto Milletari, Hien Van Nguyen, Shadi Albarqouni, M. Jorge Cardoso, Nicola Rieke, Ziyue Xu, Konstantinos Kamnitsas, Vishal Patel, Badri Roysam, Steve B. Jiang, S. Kevin Zhou, Khoa Luu, Ngan Le
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`	Reliable lymph node metastasis prediction in head & neck cancer through automated multi-objective model. BHI Zhiguo Zhou, Michael Dohopolski, Liyuan Chen, Xi Chen, Steve B. Jiang, David J. Sher, Jing Wang
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	J	`jnl`	A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT. Medical Image Anal. Shulong Li, Ning Yang, Bin Li, Zhiguo Zhou, Hongxia Hao, Michael R. Folkert, Puneeth Iyengar, Kenneth Westover, Hak Choy, Robert Timmerman, Steve B. Jiang, Jing Wang
2018	J	`jnl`	Automatic multi-objective based feature selection for classification. CoRR Zhiguo Zhou, Shulong Li, Genggeng Qin, Michael Folkert, Steve B. Jiang, Jing Wang
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	J	`jnl`	Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning. IEEE Trans. Medical Imaging Chenyang Shen, Yesenia Gonzalez, Liyuan Chen, Steve B. Jiang, Xun Jia
2018	J	`jnl`	Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features. CoRR Shulong Li, Panpan Xu, Bin Li, Liyuan Chen, Zhiguo Zhou, Hongxia Hao, Yingying Duan, Michael Folkert, Jianhua Ma, Steve B. Jiang, Jing Wang
2018	—	`conf`	Predicting Lymph Node Metastasis in Head and Neck Cancer by Combining Many-objective Radiomics and 3-dimensioal Convolutional Neural Network through Evidential Reasoning. EMBC Zhiguo Zhou, Liyuan Chen, David J. Sher, Qiongwen Zhang, Jennifer Shah, Nhat-Long Pham, Steve B. Jiang, Jing Wang
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
2018	J	`jnl`	Towards automated patient data cleaning using deep learning: A feasibility study on the standardization of organ labeling. CoRR Timothy Rozario, Troy Long, Mingli Chen, Weiguo Lu, 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
2017	J	`jnl`	Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning. CoRR Chenyang Shen, Yesenia Gonzalez, Liyuan Chen, Steve B. Jiang, Xun Jia
2017	A	`conf`	Soft-NeuroAdapt: A 3-DOF neuro-adaptive patient pose correction system for frameless and maskless cancer radiotherapy. IROS Olalekan P. Ogunmolu, Adwait Kulkarni, Yonas Tadesse, Xuejun Gu, Steve B. Jiang, Nicholas R. Gans
2017	J	`jnl`	Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning. IEEE Trans. Medical Imaging Ti Bai, Hao Yan, Xun Jia, Steve B. Jiang, Ge Wang, Xuanqin Mou
2016	J	`jnl`	Nonlinear Systems Identification Using Deep Dynamic Neural Networks. CoRR Olalekan P. Ogunmolu, Xuejun Gu, Steve B. Jiang, Nicholas R. Gans
2016	J	`jnl`	Vision-based Control of a Soft Robot for Maskless Head and Neck Cancer Radiotherapy. CoRR Olalekan P. Ogunmolu, Xuejun Gu, Steve B. Jiang, Nicholas R. Gans
2016	—	`conf`	Vision-based control of a soft robot for maskless head and neck cancer radiotherapy. CASE Olalekan P. Ogunmolu, Xuejun Gu, Steve B. Jiang, Nicholas R. Gans
2015	J	`jnl`	A Real-Time Soft Robotic Patient Positioning System for Maskless Head-and-Neck Cancer Radiotherapy: An Initial Investigation. CoRR Olalekan P. Ogunmolu, Xuejun Gu, Steve B. Jiang, Nicholas R. Gans
2015	—	`conf`	A real-time, soft robotic patient positioning system for maskless head-and-neck cancer radiotherapy: An initial investigation. CASE Olalekan P. Ogunmolu, Xuejun Gu, Steve B. Jiang, Nicholas R. Gans
2014	J	`jnl`	Anomaly Detection in Healthcare: Detecting Erroneous Treatment Plans in Time Series Radiotherapy Data. Int. J. Semantic Comput. Tamara B. Sipes, Steve B. Jiang, Kevin Moore, Nan Li, Homa Karimabadi, Joseph R. Barr
2014	—	`conf`	Anomaly Detection in Time Series Radiotherapy Treatment Data. ICSC Tamara B. Sipes, Homa Karimabadi, Steve B. Jiang, Kevin Moore, Nan Li, Joseph R. Barr
2014	J	`jnl`	Cine Cone Beam CT Reconstruction Using Low-Rank Matrix Factorization: Algorithm and a Proof-of-Principle Study. IEEE Trans. Medical Imaging Jian-Feng Cai, Xun Jia, Hao Gao, Steve B. Jiang, Zuowei Shen, Hongkai Zhao
2013	J	`jnl`	Binary Level-Set Shape Optimization Model and Algorithm for Volumetric Modulated Arc Therapy in Radiotherapy Treatment. SIAM J. Sci. Comput. Li-Tien Cheng, Bin Dong, Chunhua Men, Xun Jia, Steve B. Jiang
2012	J	`jnl`	Accurate Respiration Measurement Using DC-Coupled Continuous-Wave Radar Sensor for Motion-Adaptive Cancer Radiotherapy. IEEE Trans. Biomed. Eng. Changzhan Gu, Ruijiang Li, Hualiang Zhang, Albert Y. C. Fung, Carlos Torres, Steve B. Jiang, Changzhi Li
2011	—	`conf`	A multi-radar wireless system for respiratory gating and accurate tumor tracking in lung cancer radiotherapy. EMBC Changzhan Gu, Ruijiang Li, Steve B. Jiang, Changzhi Li
2010	—	`conf`	4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization. MICCAI (1) Xun Jia, Yifei Lou, Bin Dong, Zhen Tian, Steve B. Jiang
2010	—	`conf`	Single-Projection Based Volumetric Image Reconstruction and 3D Tumor Localization in Real Time for Lung Cancer Radiotherapy. MICCAI (3) Ruijiang Li, Xun Jia, John H. Lewis, Xuejun Gu, Michael Folkerts, Chunhua Men, Steve B. Jiang
2009	C	`conf`	A Dynamic CT Image Reconstruction Method by Inducing Prior Information from PCA Analysis. ICMLA Xun Jia, Yifei Lou, Ruijiang Li, Xuejun Gu, John Levis, Steve B. Jiang
2009	C	`conf`	Markerless Fluoroscopic Gating for Lung Cancer Radiotherapy Using Generalized Linear Discriminant Analysis. ICMLA Ruijiang Li, John H. Lewis, Steve B. Jiang
2008	A*	`conf`	Learning methods for lung tumor markerless gating in image-guided radiotherapy. KDD Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian M. Alexander, Steve B. Jiang
2008	C	`conf`	Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy. ICMLA Xiaoli Tang, Tong Lin, Steve B. Jiang
2008	C	`conf`	Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques. ICMLA Tong Lin, Laura I. Cervino, Xiaoli Tang, Nuno Vasconcelos, Steve B. Jiang
2006	—	`conf`	Tracking and Prediction of Tumor Movement in the Abdomen. PRIS Margrit Betke, Jason Ruel, Gregory C. Sharp, Steve B. Jiang, David P. Gierga, George T. Y. Chen
2005	—	`conf`	Subsequence Matching on Structured Time Series Data. SIGMOD Conference Huanmei Wu, Betty Salzberg, Gregory C. Sharp, Steve B. Jiang, Hiroki Shirato, David R. Kaeli
1997	J	`jnl`	A fast numerical algorithm for electron mean energy calculation in radiation therapy. Comput. Biol. Medicine Steve B. Jiang, Zheng-Ming Luo, Todd Pawlicki, Komanduri M. Ayyangar