Steve B. Jiang

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 68

Top Topics

Radiation Therapy

Top Venues

IEEE Trans. Medical Imaging

Mach. Learn. Sci. Technol.

Publications

Yunxiang Li, Hua-Chieh Shao, Xiao Liang, Liyuan Chen, Ruiqi Li, Steve B. Jiang, Jing Wang, You Zhang
Zero-Shot Medical Image Translation via Frequency-Guided Diffusion Models. IEEE Trans. Medical Imaging 43 (3) (2024)
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 (2023)
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 (2023)
Yunxiang Li, Hua-Chieh Shao, Xiao Liang, Liyuan Chen, Ruiqi Li, Steve B. Jiang, Jing Wang, You Zhang
Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models. CoRR (2023)
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 (2022)
Anthony Wang, Ti Bai, Dan Nguyen, Steve B. Jiang
Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement. HECKTOR@MICCAI (2022)
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 (2022)
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 (2022)
Zhangyang Wang, Vishal Patel, Bing Yao, Steve B. Jiang, Huimin Lu, Yang Shen
Guest Editorial Special Section on Learning With Multimodal Data for Biomedical Informatics. IEEE Trans. Circuits Syst. Video Technol. 32 (5) (2022)
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 (2022)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
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) (2021)
Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang
Deep High-Resolution Network for Low Dose X-ray CT Denoising. CoRR (2021)
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) (2021)
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) (2021)
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 (2021)
Guanglin Tang, Kenneth Westover, Steve B. Jiang
Contact Tracing in Healthcare Settings During the COVID-19 Pandemic Using Bluetooth Low Energy and Artificial Intelligence - A Viewpoint. Frontiers Artif. Intell. 4 (2021)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
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) (2021)
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) (2021)
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 (2020)
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 (2020)
Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo 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
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
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 (2020)
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 (2020)
Zhiguo Zhou, Shulong Li, Genggeng Qin, Michael Folkert, Steve B. Jiang, Jing Wang
Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification. IEEE J. Biomed. Health Informatics 24 (1) (2020)
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 (2020)
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 (2020)
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 (2020)
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 (2020)
Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang
Probabilistic self-learning framework for Low-dose CT Denoising. CoRR (2020)
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 (2020)
Guanglin Tang, Yulong Yan, Chenyang Shen, Xun Jia, Meyer Zinn, Zipalkumar Trivedi, Alicia Yingling, Kenneth Westover, Steve B. Jiang
Balancing Robustness and Responsiveness in a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications. CoRR (2019)
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)
Zhiguo Zhou, Michael Dohopolski, Liyuan Chen, Xi Chen, Steve B. Jiang, David J. Sher, Jing Wang
Reliable lymph node metastasis prediction in head & neck cancer through automated multi-objective model. BHI (2019)
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 (2019)
Zhiguo Zhou, Genggeng Qin, Pingkun Yan, Hongxia Hao, Steve B. Jiang, Jing Wang
A shell and kernel descriptor based joint deep learning model for predicting breast lesion malignancy. Medical Imaging: Computer-Aided Diagnosis (2019)
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)
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)
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)
Qiming Yang, Hongyang Chao, Dan Nguyen, Steve B. Jiang
Mining Domain Knowledge: Improved Framework towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy. CoRR (2019)
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)
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)
Shulong Li, Panpan Xu, Bin Li, Liyuan Chen, Zhiguo Zhou, Hongxia Hao, Yingying Duan, Michael Folkert, Jianhua Ma, Steve B. Jiang, Jing Wang
Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features. CoRR (2018)
Zhiguo Zhou, Liyuan Chen, David J. Sher, Qiongwen Zhang, Jennifer Shah, Nhat-Long Pham, Steve B. Jiang, Jing Wang
Predicting Lymph Node Metastasis in Head and Neck Cancer by Combining Many-objective Radiomics and 3-dimensioal Convolutional Neural Network through Evidential Reasoning. EMBC (2018)
Timothy Rozario, Troy Long, Mingli Chen, Weiguo Lu, Steve B. Jiang
Towards automated patient data cleaning using deep learning: A feasibility study on the standardization of organ labeling. CoRR (2018)
Chenyang Shen, Yesenia Gonzalez, Liyuan Chen, Steve B. Jiang, Xun Jia
Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning. IEEE Trans. Medical Imaging 37 (6) (2018)
Zhiguo Zhou, Shulong Li, Genggeng Qin, Michael Folkert, Steve B. Jiang, Jing Wang
Automatic multi-objective based feature selection for classification. CoRR (2018)
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 (2018)
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 (2018)
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)
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
A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT. Medical Image Anal. 50 (2018)
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 (2018)
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 (2017)
Chenyang Shen, Yesenia Gonzalez, Liyuan Chen, Steve B. Jiang, Xun Jia
Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning. CoRR (2017)
Ti Bai, Hao Yan, Xun Jia, Steve B. Jiang, Ge Wang, Xuanqin Mou
Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning. IEEE Trans. Medical Imaging 36 (12) (2017)
Olalekan P. Ogunmolu, Adwait Kulkarni, Yonas Tadesse, Xuejun Gu, Steve B. Jiang, Nicholas R. Gans
Soft-NeuroAdapt: A 3-DOF neuro-adaptive patient pose correction system for frameless and maskless cancer radiotherapy. IROS (2017)
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 (2017)
Olalekan P. Ogunmolu, Xuejun Gu, Steve B. Jiang, Nicholas R. Gans
Vision-based control of a soft robot for maskless head and neck cancer radiotherapy. CASE (2016)
Olalekan P. Ogunmolu, Xuejun Gu, Steve B. Jiang, Nicholas R. Gans
Nonlinear Systems Identification Using Deep Dynamic Neural Networks. CoRR (2016)
Olalekan P. Ogunmolu, Xuejun Gu, Steve B. Jiang, Nicholas R. Gans
Vision-based Control of a Soft Robot for Maskless Head and Neck Cancer Radiotherapy. CoRR (2016)
Olalekan P. Ogunmolu, Xuejun Gu, Steve B. Jiang, Nicholas R. Gans
A real-time, soft robotic patient positioning system for maskless head-and-neck cancer radiotherapy: An initial investigation. CASE (2015)
Olalekan P. Ogunmolu, Xuejun Gu, Steve B. Jiang, Nicholas R. Gans
A Real-Time Soft Robotic Patient Positioning System for Maskless Head-and-Neck Cancer Radiotherapy: An Initial Investigation. CoRR (2015)
Jian-Feng Cai, Xun Jia, Hao Gao, Steve B. Jiang, Zuowei Shen, Hongkai Zhao
Cine Cone Beam CT Reconstruction Using Low-Rank Matrix Factorization: Algorithm and a Proof-of-Principle Study. IEEE Trans. Medical Imaging 33 (8) (2014)
Tamara B. Sipes, Steve B. Jiang, Kevin Moore, Nan Li, Homa Karimabadi, Joseph R. Barr
Anomaly Detection in Healthcare: Detecting Erroneous Treatment Plans in Time Series Radiotherapy Data. Int. J. Semantic Comput. 8 (3) (2014)
Tamara B. Sipes, Homa Karimabadi, Steve B. Jiang, Kevin Moore, Nan Li, Joseph R. Barr
Anomaly Detection in Time Series Radiotherapy Treatment Data. ICSC (2014)
Li-Tien Cheng, Bin Dong, Chunhua Men, Xun Jia, Steve B. Jiang
Binary Level-Set Shape Optimization Model and Algorithm for Volumetric Modulated Arc Therapy in Radiotherapy Treatment. SIAM J. Sci. Comput. 35 (6) (2013)
Changzhan Gu, Ruijiang Li, Hualiang Zhang, Albert Y. C. Fung, Carlos Torres, Steve B. Jiang, Changzhi Li
Accurate Respiration Measurement Using DC-Coupled Continuous-Wave Radar Sensor for Motion-Adaptive Cancer Radiotherapy. IEEE Trans. Biomed. Eng. 59 (11-2) (2012)
Changzhan Gu, Ruijiang Li, Steve B. Jiang, Changzhi Li
A multi-radar wireless system for respiratory gating and accurate tumor tracking in lung cancer radiotherapy. EMBC (2011)
Xun Jia, Yifei Lou, Bin Dong, Zhen Tian, Steve B. Jiang
4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization. MICCAI (1) (2010)
Ruijiang Li, Xun Jia, John H. Lewis, Xuejun Gu, Michael Folkerts, Chunhua Men, Steve B. Jiang
Single-Projection Based Volumetric Image Reconstruction and 3D Tumor Localization in Real Time for Lung Cancer Radiotherapy. MICCAI (3) (2010)
Ruijiang Li, John H. Lewis, Steve B. Jiang
Markerless Fluoroscopic Gating for Lung Cancer Radiotherapy Using Generalized Linear Discriminant Analysis. ICMLA (2009)
Xun Jia, Yifei Lou, Ruijiang Li, Xuejun Gu, John Levis, Steve B. Jiang
A Dynamic CT Image Reconstruction Method by Inducing Prior Information from PCA Analysis. ICMLA (2009)
Xiaoli Tang, Tong Lin, Steve B. Jiang
Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy. ICMLA (2008)
Tong Lin, Laura I. Cervino, Xiaoli Tang, Nuno Vasconcelos, Steve B. Jiang
Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques. ICMLA (2008)
Ying Cui, Jennifer G. Dy, Gregory C. Sharp, Brian M. Alexander, Steve B. Jiang
Learning methods for lung tumor markerless gating in image-guided radiotherapy. KDD (2008)
Margrit Betke, Jason Ruel, Gregory C. Sharp, Steve B. Jiang, David P. Gierga, George T. Y. Chen
Tracking and Prediction of Tumor Movement in the Abdomen. PRIS (2006)
Huanmei Wu, Betty Salzberg, Gregory C. Sharp, Steve B. Jiang, Hiroki Shirato, David R. Kaeli
Subsequence Matching on Structured Time Series Data. SIGMOD Conference (2005)
Steve B. Jiang, Zheng-Ming Luo, Todd Pawlicki, Komanduri M. Ayyangar
A fast numerical algorithm for electron mean energy calculation in radiation therapy. Comput. Biol. Medicine 27 (6) (1997)