Steve B. Jiang
Orcid: 0000-0002-3083-6752Affiliations:
- University of Texas Southwestern Medical Center, Department of Radiation Oncology, Dallas, TX, USA
- Medical College of Ohio, Department of Radiation Therapy, Toledo, OH, USA (PhD 1998)
According to our database1,
Steve B. Jiang
authored at least 79 papers
between 1997 and 2024.
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Bibliography
2024
IEEE Trans. Medical Imaging, March, 2024
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.
CoRR, 2023
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
2022
Guest Editorial Special Section on Learning With Multimodal Data for Biomedical Informatics.
IEEE Trans. Circuits Syst. Video Technol., 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.
Sensors, 2022
Guest Editorial: ACM JETC Special Issue on Hardware-Aware Learning for Medical Applications.
ACM J. Emerg. Technol. Comput. Syst., 2022
Prior Guided Deep Difference Meta-Learner for Fast Adaptation to Stylized Segmentation.
CoRR, 2022
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy.
CoRR, 2022
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making - a clinician's perspective.
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.
CoRR, 2022
Segmentation by Test-Time Optimization (TTO) for CBCT-based Adaptive Radiation Therapy.
CoRR, 2022
Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
2021
IEEE Trans. Medical Imaging, 2021
Mach. Learn. Sci. Technol., 2021
A reinforcement learning application of a guided Monte Carlo Tree Search algorithm for beam orientation selection in radiation therapy.
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.
Mach. Learn. Sci. Technol., 2021
Deep dose plugin: towards real-time Monte Carlo dose calculation through a deep learning-based denoising algorithm.
Mach. Learn. Sci. Technol., 2021
Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach.
Medical Image Anal., 2021
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.
Medical Image Anal., 2021
Contact Tracing in Healthcare Settings During the COVID-19 Pandemic Using Bluetooth Low Energy and Artificial Intelligence - A Viewpoint.
Frontiers Artif. Intell., 2021
Deep Learning-Based COVID-19 Pneumonia Classification Using Chest CT Images: Model Generalizability.
Frontiers Artif. Intell., 2021
CoRR, 2021
CoRR, 2021
Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy.
CoRR, 2021
PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume.
CoRR, 2021
Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning based simulation study.
CoRR, 2021
PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes.
Artif. Intell. Medicine, 2021
2020
Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification.
IEEE J. Biomed. Health Informatics, 2020
Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks.
CoRR, 2020
Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model Adaptation to Different Treatment Planning Practices.
CoRR, 2020
Using Deep Learning to Predict Beam-Tunable Pareto Optimal Dose Distribution for Intensity Modulated Radiation Therapy.
CoRR, 2020
Mining Domain Knowledge: Improved Framework Towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy.
IEEE Access, 2020
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
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.
CoRR, 2019
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
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy.
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Artificial Intelligence in Radiation Therapy, 2019
Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A shell and kernel descriptor based joint deep learning model for predicting breast lesion malignancy.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Application of deep neural networks for automatic planning in radiation oncology treatments.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
Reliable lymph node metastasis prediction in head & neck cancer through automated multi-objective model.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning.
IEEE Trans. Medical Imaging, 2018
A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT.
Medical Image Anal., 2018
Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations.
CoRR, 2018
Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features.
CoRR, 2018
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture.
CoRR, 2018
Towards automated patient data cleaning using deep learning: A feasibility study on the standardization of organ labeling.
CoRR, 2018
Deep BOO! Automating Beam Orientation Optimization in Intensity-Modulated Radiation Therapy.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018
Predicting Lymph Node Metastasis in Head and Neck Cancer by Combining Many-objective Radiomics and 3-dimensioal Convolutional Neural Network through Evidential Reasoning.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning.
IEEE Trans. Medical Imaging, 2017
Accurate Real Time Localization Tracking in A Clinical Environment using Bluetooth Low Energy and Deep Learning.
CoRR, 2017
Dose Prediction with U-net: A Feasibility Study for Predicting Dose Distributions from Contours using Deep Learning on Prostate IMRT Patients.
CoRR, 2017
Soft-NeuroAdapt: A 3-DOF neuro-adaptive patient pose correction system for frameless and maskless cancer radiotherapy.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
2016
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016
2015
A real-time, soft robotic patient positioning system for maskless head-and-neck cancer radiotherapy: An initial investigation.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015
2014
Cine Cone Beam CT Reconstruction Using Low-Rank Matrix Factorization: Algorithm and a Proof-of-Principle Study.
IEEE Trans. Medical Imaging, 2014
Anomaly Detection in Healthcare: Detecting Erroneous Treatment Plans in Time Series Radiotherapy Data.
Int. J. Semantic Comput., 2014
Proceedings of the 2014 IEEE International Conference on Semantic Computing, 2014
2013
Binary Level-Set Shape Optimization Model and Algorithm for Volumetric Modulated Arc Therapy in Radiotherapy Treatment.
SIAM J. Sci. Comput., 2013
2012
Accurate Respiration Measurement Using DC-Coupled Continuous-Wave Radar Sensor for Motion-Adaptive Cancer Radiotherapy.
IEEE Trans. Biomed. Eng., 2012
2011
A multi-radar wireless system for respiratory gating and accurate tumor tracking in lung cancer radiotherapy.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Single-Projection Based Volumetric Image Reconstruction and 3D Tumor Localization in Real Time for Lung Cancer Radiotherapy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2009
Markerless Fluoroscopic Gating for Lung Cancer Radiotherapy Using Generalized Linear Discriminant Analysis.
Proceedings of the International Conference on Machine Learning and Applications, 2009
A Dynamic CT Image Reconstruction Method by Inducing Prior Information from PCA Analysis.
Proceedings of the International Conference on Machine Learning and Applications, 2009
2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
2006
Tracking and Prediction of Tumor Movement in the Abdomen.
Proceedings of the Pattern Recognition in Information Systems, 2006
2005
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005
1997
A fast numerical algorithm for electron mean energy calculation in radiation therapy.
Comput. Biol. Medicine, 1997