A fast numerical algorithm for electron mean energy calculation in radiation therapy. - Steve B. Jiang; Zheng-Ming Luo; Todd Pawlicki; Komanduri M. Ayyangar (Comput. Biol. Medicine, 1997)

Subsequence Matching on Structured Time Series Data. - Huanmei Wu; Betty Salzberg; Gregory C. Sharp; Steve B. Jiang; Hiroki Shirato; David R. Kaeli (SIGMOD Conference, 2005)

Tracking and Prediction of Tumor Movement in the Abdomen. - Margrit Betke; Jason Ruel; Gregory C. Sharp; Steve B. Jiang; David P. Gierga; George T. Y. Chen (PRIS, 2006)

Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques. - Tong Lin 002; Laura I. Cervino; Xiaoli Tang; Nuno Vasconcelos; Steve B. Jiang (ICMLA, 2008)

Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy. - Xiaoli Tang; Tong Lin 002; Steve B. Jiang (ICMLA, 2008)

Learning methods for lung tumor markerless gating in image-guided radiotherapy. - Ying Cui; Jennifer G. Dy; Gregory C. Sharp; Brian M. Alexander; Steve B. Jiang (KDD, 2008)

A Dynamic CT Image Reconstruction Method by Inducing Prior Information from PCA Analysis. - Xun Jia; Yifei Lou; Ruijiang Li; Xuejun Gu; John Levis; Steve B. Jiang (ICMLA, 2009)

Markerless Fluoroscopic Gating for Lung Cancer Radiotherapy Using Generalized Linear Discriminant Analysis. - Ruijiang Li; John H. Lewis; Steve B. Jiang (ICMLA, 2009)

4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization. - Xun Jia; Yifei Lou; Bin Dong 001; Zhen Tian; Steve B. Jiang (MICCAI (1), 2010)

Single-Projection Based Volumetric Image Reconstruction and 3D Tumor Localization in Real Time for Lung Cancer Radiotherapy. - Ruijiang Li; Xun Jia; John H. Lewis; Xuejun Gu; Michael Folkerts; Chunhua Men; Steve B. Jiang (MICCAI (3), 2010)

A multi-radar wireless system for respiratory gating and accurate tumor tracking in lung cancer radiotherapy. - Changzhan Gu; Ruijiang Li; Steve B. Jiang; Changzhi Li (EMBC, 2011)

Accurate Respiration Measurement Using DC-Coupled Continuous-Wave Radar Sensor for Motion-Adaptive Cancer Radiotherapy. - Changzhan Gu; Ruijiang Li; Hualiang Zhang; Albert Y. C. Fung; Carlos Torres; Steve B. Jiang; Changzhi Li (IEEE Trans. Biomed. Eng., 2012)

Binary Level-Set Shape Optimization Model and Algorithm for Volumetric Modulated Arc Therapy in Radiotherapy Treatment. - Li-Tien Cheng; Bin Dong 001; Chunhua Men; Xun Jia; Steve B. Jiang (SIAM J. Sci. Comput., 2013)

Anomaly Detection in Time Series Radiotherapy Treatment Data. - Tamara B. Sipes; Homa Karimabadi; Steve B. Jiang; Kevin Moore 002; Nan Li; Joseph R. Barr (ICSC, 2014)

Anomaly Detection in Healthcare: Detecting Erroneous Treatment Plans in Time Series Radiotherapy Data. - Tamara B. Sipes; Steve B. Jiang; Kevin Moore 002; Nan Li; Homa Karimabadi; Joseph R. Barr (Int. J. Semantic Comput., 2014)

Cine Cone Beam CT Reconstruction Using Low-Rank Matrix Factorization: Algorithm and a Proof-of-Principle Study. - Jian-Feng Cai 001; Xun Jia; Hao Gao; Steve B. Jiang; Zuowei Shen; Hongkai Zhao (IEEE Trans. Medical Imaging, 2014)

A real-time, soft robotic patient positioning system for maskless head-and-neck cancer radiotherapy: An initial investigation. - Olalekan P. Ogunmolu; Xuejun Gu; Steve B. Jiang; Nicholas R. Gans (CASE, 2015)

Vision-based control of a soft robot for maskless head and neck cancer radiotherapy. - Olalekan P. Ogunmolu; Xuejun Gu; Steve B. Jiang; Nicholas R. Gans (CASE, 2016)

Nonlinear Systems Identification Using Deep Dynamic Neural Networks. - Olalekan P. Ogunmolu; Xuejun Gu; Steve B. Jiang; Nicholas R. Gans (CoRR, 2016)

Soft-NeuroAdapt: A 3-DOF neuro-adaptive patient pose correction system for frameless and maskless cancer radiotherapy. - Olalekan P. Ogunmolu; Adwait Kulkarni; Yonas Tadesse; Xuejun Gu; Steve B. Jiang; Nicholas R. Gans (IROS, 2017)

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)

Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning. - Ti Bai; Hao Yan; Xun Jia; Steve B. Jiang; Ge Wang 001; Xuanqin Mou (IEEE Trans. Medical Imaging, 2017)

Predicting Lymph Node Metastasis in Head and Neck Cancer by Combining Many-objective Radiomics and 3-dimensioal Convolutional Neural Network through Evidential Reasoning. - Zhiguo Zhou; Liyuan Chen; David J. Sher; Qiongwen Zhang; Jennifer Shah; Nhat-Long Pham; Steve B. Jiang; Jing Wang 022 (EMBC, 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)

Towards automated patient data cleaning using deep learning: A feasibility study on the standardization of organ labeling. - Timothy Rozario; Troy Long; Mingli Chen 003; Weiguo Lu; Steve B. Jiang (CoRR, 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)

Automatic multi-objective based feature selection for classification. - Zhiguo Zhou; Shulong Li; Genggeng Qin; Michael Folkert; Steve B. Jiang; Jing Wang 022 (CoRR, 2018)

Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features. - Shulong Li; Panpan Xu; Bin Li; Liyuan Chen; Zhiguo Zhou; Hongxia Hao; Yingying Duan; Michael Folkert; Jianhua Ma 001; Steve B. Jiang; Jing Wang 022 (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)

A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT. - 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 022 (Medical Image Anal., 2018)

Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning. - Chenyang Shen; Yesenia Gonzalez; Liyuan Chen; Steve B. Jiang; Xun Jia (IEEE Trans. Medical Imaging, 2018)

Reliable lymph node metastasis prediction in head & neck cancer through automated multi-objective model. - Zhiguo Zhou; Michael Dohopolski; Liyuan Chen; Xi Chen; Steve B. Jiang; David J. Sher; Jing Wang 022 (BHI, 2019)

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)

A shell and kernel descriptor based joint deep learning model for predicting breast lesion malignancy. - Zhiguo Zhou; Genggeng Qin; Pingkun Yan; Hongxia Hao; Steve B. Jiang; Jing Wang 022 (Computer-Aided Diagnosis, 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)

Balancing Robustness and Responsiveness in a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications. - Guanglin Tang; Yulong Yan; Chenyang Shen; Xun Jia; Meyer Zinn; Zipalkumar Trivedi; Alicia Yingling; Kenneth Westover; Steve B. Jiang (CoRR, 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)

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. - Jaime S. Cardoso 001; Hien Van Nguyen; Nicholas Heller; Pedro Henriques Abreu; Ivana Isgum; Wilson Silva; Ricardo P. M. Cruz; José Pereira Amorim; Vishal Patel 001; Badri Roysam; S. Kevin Zhou; Steve B. Jiang; et al. (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

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)

Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification. - Zhiguo Zhou; Shulong Li; Genggeng Qin; Michael Folkert; Steve B. Jiang; Jing Wang 022 (IEEE J. Biomed. Health Informatics, 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)

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)

Contact Tracing in Healthcare Settings During the COVID-19 Pandemic Using Bluetooth Low Energy and Artificial Intelligence - A Viewpoint. - Guanglin Tang; Kenneth Westover; 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)

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)

Guest Editorial: ACM JETC Special Issue on Hardware-Aware Learning for Medical Applications. - Yiyu Shi 001; Yongpan Liu; Jianxu Chen 001; Steve B. Jiang (ACM J. Emerg. Technol. Comput. Syst., 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)

Guest Editorial Special Section on Learning With Multimodal Data for Biomedical Informatics. - Zhangyang Wang; Vishal Patel 001; Bing Yao; Steve B. Jiang; Huimin Lu 001; Yang Shen 001 (IEEE Trans. Circuits Syst. Video Technol., 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)

Zero-Shot Medical Image Translation via Frequency-Guided Diffusion Models. - Yunxiang Li; Hua-Chieh Shao; Xiao Liang; Liyuan Chen; Ruiqi Li; Steve B. Jiang; Jing Wang 022; You Zhang 003 (IEEE Trans. Medical Imaging, 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)

Exploring Strategies for Personalized Radiation Therapy Part I Unlocking Response-Related Tumor Subregions with Class Activation Mapping. - Hao Peng; Steve B. Jiang; Robert Timmerman (CoRR, 2025)