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ORCIDSteve B. Jiang
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- affiliation: University of Texas Southwestern Medical Center, Department of Radiation Oncology, Dallas, TX, USA
- affiliation (PhD 1998): Medical College of Ohio, Department of Radiation Therapy, Toledo, OH, USA
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2020 – today
- 2024
[j24]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): 980-993 (2024)- 2023
- [i40]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) - [i39]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 abs/2304.02742 (2023) - [i38]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
- [j23]Yiyu Shi, Yongpan Liu, Jianxu Chen, Steve B. Jiang:
Guest Editorial: ACM JETC Special Issue on Hardware-Aware Learning for Medical Applications. ACM J. Emerg. Technol. Comput. Syst. 18(2): 24:1-24:3 (2022) - [j22]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) - [j21]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): 2508-2511 (2022) - [c26]Anthony Wang, Ti Bai, Dan Nguyen, Steve B. Jiang:
Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement. HECKTOR@MICCAI 2022: 54-60 - [i37]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) - [i36]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) - [i35]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) - [i34]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) - [i33]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) - [i32]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
- [j20]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) - [j19]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: 666599 (2021) - [j18]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) - [j17]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) - [j16]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) - [j15]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) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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
- [j10]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) - [j9]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): 194-204 (2020) - [c25]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:
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 1 - [e3]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:
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. Lecture Notes in Computer Science 12446, Springer 2020, ISBN 978-3-030-61165-1 [contents] - [i24]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) - [i23]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) - [i22]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) - [i21]Ti Bai, Dan Nguyen, Biling Wang, Steve B. Jiang:
Probabilistic self-learning framework for Low-dose CT Denoising. CoRR abs/2006.00327 (2020) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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
- [c24]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: 1-4 - [c23]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 - [c22]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: 109502S - [c21]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 - [c20]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 - [c19]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 - [c18]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 - [c17]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 - [e2]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:
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. Lecture Notes in Computer Science 11795, Springer 2019, ISBN 978-3-030-33390-4 [contents] - [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] - [i15]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 abs/1907.10554 (2019) - [i14]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) - [i13]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
- [j8]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: 106-116 (2018) - [j7]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): 1430-1439 (2018) - [c16]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: 1-4 - [c15]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 - [i12]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 abs/1801.00096 (2018) - [i11]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) - [i10]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) - [i9]Zhiguo Zhou, Shulong Li, Genggeng Qin, Michael Folkert, Steve B. Jiang, Jing Wang:
Automatic multi-objective based feature selection for classification. CoRR abs/1807.03236 (2018) - [i8]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 abs/1809.02333 (2018) - [i7]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
- [j6]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): 2466-2478 (2017) - [c14]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: 3661-3668 - [i6]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) - [i5]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 abs/1711.00414 (2017) - [i4]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
- [c13]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: 180-187 - [i3]Olalekan P. Ogunmolu, Xuejun Gu, Steve B. Jiang, Nicholas R. Gans:
Nonlinear Systems Identification Using Deep Dynamic Neural Networks. CoRR abs/1610.01439 (2016) - [i2]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 abs/1610.01481 (2016) - 2015
- [c12]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: 1539-1545 - [i1]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 abs/1506.04787 (2015) - 2014
- [j5]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): 257-278 (2014) - [j4]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): 1581-1591 (2014) - [c11]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: 324-329 - 2013
- [j3]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) - 2012
- [j2]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): 3117-3123 (2012) - 2011
- [c10]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: 417-420 - 2010
- [c9]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: 143-150 - [c8]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: 449-456
2000 – 2009
- 2009
- [c7]Ruijiang Li, John H. Lewis, Steve B. Jiang:
Markerless Fluoroscopic Gating for Lung Cancer Radiotherapy Using Generalized Linear Discriminant Analysis. ICMLA 2009: 468-472 - [c6]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: 473-477 - 2008
- [c5]Tong Lin, Laura I. Cervino, Xiaoli Tang, Nuno Vasconcelos, Steve B. Jiang:
Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques. ICMLA 2008: 533-538 - [c4]Xiaoli Tang, Tong Lin, Steve B. Jiang:
Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy. ICMLA 2008: 551-555 - [c3]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: 902-910 - 2006
- [c2]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: 27-37 - 2005
- [c1]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: 682-693
1990 – 1999
- 1997
- [j1]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): 487-491 (1997)
Coauthor Index
[i40] [i38] [j22] [c26] [i37] [i36] [i35] [i34] [i33] [i32] [j20] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [j10] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [c23] [c21] [c20] [c19] [c18] [c17] [e1] [i14] [i13] [c15] [i11] [i10] [i7] [i6] [i4]
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-25 01:30 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
