Jing Wang

55 papers B 5Journal 36Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Language-guided multimodal domain generalization for outcome prediction of head and neck cancer.
Comput. Biol. Medicine
Rongfang Wang, Jiasheng Chen, Xinlong Zhang, Hui Liu, Zhiguo Zhou, Kai Wang, Changzhe Jiao, Jing Wang
2025 J jnl
Lesion Classification by Model-Based Feature Extraction: A Differential Affine Invariant Model of Soft Tissue Elasticity in CT Images.
J. Imaging Inform. Medicine
Weiguo Cao, Marc Jason Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbing Lu, Almas F. Abbasi, Perry J. Pickhardt
2025 — conf
MedPro-DG: Domain-Aware Masked Contrastive Prompt Learning of Institution Generalization for Outcome Prediction.
MICCAI (5)
Rongfang Wang, Jiasheng Chen, Xinlong Zhang, Jing Wang, Hui Liu, Zhiguo Zhou, Kai Wang
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 Image Constrained Total Variation-Stokes for Cerebral Perfusion CT Imaging.
IEEE Trans. Computational Imaging
Shanzhou Niu, Shuo Li, Tinghua Wang, Weiwen Wu, You Zhang, Jing Wang, Jianhua Ma
2024 J jnl
ASF-LKUNet: Adjacent-scale fusion U-Net with large kernel for multi-organ segmentation.
Comput. Biol. Medicine
Rongfang Wang, Zhaoshan Mu, Jing Wang, Kai Wang, Hui Liu, Zhiguo Zhou, Licheng Jiao
2024 J jnl
Deep Filtered Back Projection for CT Reconstruction.
IEEE Access
Xi Tan, Xuan Liu, Kai Xiang, Jing Wang, Shan Tan
2024 J jnl
Early Detection of Residual/Recurrent Lung Malignancies on Post-Radiation FDG PET/CT.
Algorithms
Liyuan Chen, Avanka Lowe, Jing Wang
2024 J jnl
TransAnaNet: Transformer-based Anatomy Change Prediction Network for Head and Neck Cancer Patient Radiotherapy.
CoRR
Meixu Chen, Kai Wang, Michael Dohopolski, Howard E. Morgan, David J. Sher, Jing Wang
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 — conf
Real-time liver motion estimation via combined surface imaging and single x-ray imaging using a deep learning-based approach (Surf-X) (Conference Presentation).
Image-Guided Procedures
Hua-Chieh Shao, Yunxiang Li, Jing Wang, Steve Jiang, You Zhang
2023 J jnl
Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model.
CoRR
Shanshan Tang, Kai Wang, David Hein, Gloria Lin, Nina N. Sanford, Jing Wang
2023 J jnl
Ultrasound Volume Reconstruction From Freehand Scans Without Tracking.
IEEE Trans. Biomed. Eng.
Hengtao Guo, Hanqing Chao, Sheng Xu, Bradford J. Wood, Jing Wang, Pingkun Yan
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
2023 J jnl
nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance.
CoRR
Yunxiang Li, Bowen Jing, Zihan Li, Jing Wang, You Zhang
2022 J jnl
A-LugSeg: Automatic and explainability-guided multi-site lung detection in chest X-ray images.
Expert Syst. Appl.
Tao Peng, Yidong Gu, Zhenyu Ye, Xiuxiu Cheng, Jing Wang
2022 J jnl
Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity.
CoRR
Weiguo Cao, Marc Jason Pomeroy, Zhengrong Liang, Yongfeng Gao, Yongyi Shi, Jiaxing Tan, Fangfang Han, Jing Wang, Jianhua Ma, Hongbin Lu, Almas F. Abbasi, Perry J. Pickhardt
2022 — conf
Prostate Segmentation of Ultrasound Images Based on Interpretable-Guided Mathematical Model.
MMM (1)
Tao Peng, Caiyin Tang, Jing Wang
2022 — conf
Recurrence-Free Survival Prediction Under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers.
HECKTOR@MICCAI
Kai Wang, Yunxiang Li, Michael Dohopolski, Tao Peng, Weiguo Lu, You Zhang, Jing Wang
2022 J jnl
Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers.
CoRR
Kai Wang, Yunxiang Li, Michael Dohopolski, Tao Peng, Weiguo Lu, You Zhang, Jing Wang
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
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 — conf
Interpretable Mathematical Model-guided Ultrasound Prostate Contour Extraction Using Data Mining Techniques.
BIBM
Tao Peng, Jing Zhao, Jing Wang
2021 — conf
Lung contour detection in Chest X-ray images using Mask Region-based Convolutional Neural Network and Adaptive Closed Polyline Searching Method.
EMBC
Tao Peng, Yidong Gu, Jing Wang
2021 B conf
Multi-Modality and Multi-View 2D CNN to Predict Locoregional Recurrence in Head & Neck Cancer.
IJCNN
Jinkun Guo, Rongfang Wang, Zhiguo Zhou, Kai Wang, Rongbin Xu, Jing Wang
2020 J jnl
A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification.
Int. J. Comput. Assist. Radiol. Surg.
Ying Ren, Min-Yu Tsai, Liyuan Chen, Jing Wang, Shulong Li, Yufei Liu, Xun Jia, Chenyang Shen
2020 J jnl
Hybrid Automatic Lung Segmentation on Chest CT Scans.
IEEE Access
Tao Peng, Thomas Canhao Xu, Yihuai Wang, Hailing Zhou, Sema Candemir, Wan Mimi Diyana Wan Zaki, Shanq-Jang Ruan, Jing Wang, Xinjian Chen
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
2019 — conf
A Reliable Multi-classifier Multi-objective Model for Predicting Recurrence in Triple Negative Breast Cancer.
EMBC
Xi Chen, Zhiguo Zhou, Kimberly Thomas, Michael Folkert, Nathan Kim, Asal Rahimi, Jing Wang
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 J jnl
Advanced 4-dimensional cone-beam computed tomography reconstruction by combining motion estimation, motion-compensated reconstruction, biomechanical modeling and deep learning.
Vis. Comput. Ind. Biomed. Art
You Zhang, Xiaokun Huang, Jing Wang
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
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
Accurate segmenting of cervical tumors in PET imaging based on similarity between adjacent slices.
Comput. Biol. Medicine
Liyuan Chen, Chenyang Shen, Zhiguo Zhou, Genevieve Maquilan, Kimberly Thomas, Michael R. Folkert, Kevin Albuquerque, Jing Wang
2018 B conf
Automatic PET cervical tumor segmentation by deep learning with prior information.
Image Processing
Liyuan Chen, Chenyang Shen, Shulong Li, Genevieve Maquilan, Kevin Albuquerque, Michael R. Folkert, 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 J jnl
Iterative reconstruction for photon-counting CT using prior image constrained total generalized variation.
Comput. Biol. Medicine
Shanzhou Niu, You Zhang, Yuncheng Zhong, Guoliang Liu, Shaohui Lu, Xile Zhang, Shengzhou Hu, Tinghua Wang, Gaohang Yu, Jing Wang
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
Statistical Iterative CBCT Reconstruction Based on Neural Network.
IEEE Trans. Medical Imaging
Binbin Chen, Kai Xiang, Zaiwen Gong, Jing Wang, Shan Tan
2017 J jnl
A Biomechanical Modeling Guided CBCT Estimation Technique.
IEEE Trans. Medical Imaging
You Zhang, Joubin Nasehi Tehrani, Jing Wang
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
Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion.
CoRR
Zhiguo Zhou, Zhi-Jie Zhou, Hongxia Hao, Shulong Li, Xi Chen, You Zhang, Michael Folkert, Jing Wang
2017 — conf
Distant failure prediction for early stage NSCLC by analyzing PET with sparse representation.
Computer-Aided Diagnosis
Hongxia Hao, Zhiguo Zhou, Jing Wang
2017 J jnl
Low-Dose CBCT Reconstruction Using Hessian Schatten Penalties.
IEEE Trans. Medical Imaging
Liang Liu, Xinxin Li, Kai Xiang, Jing Wang, Shan Tan
2015 — conf
Mooney-Rivlin biomechanical modeling of lung with Inhomogeneous material.
EMBC
Joubin Nasehi Tehrani, Jing Wang
2015 J jnl
Statistical image reconstruction for low-dose CT using nonlocal means-based regularization. Part II: An adaptive approach.
Comput. Medical Imaging Graph.
Hao Zhang, Jianhua Ma, Jing Wang, Yan Liu, Hao Han, Hongbing Lu, William Moore, Zhengrong Liang
2014 J jnl
Statistical image reconstruction for low-dose CT using nonlocal means-based regularization.
Comput. Medical Imaging Graph.
Hao Zhang, Jianhua Ma, Jing Wang, Yan Liu, Hongbing Lu, Zhengrong Liang
2008 J jnl
Multiscale Penalized Weighted Least-Squares Sinogram Restoration for Low-Dose X-Ray Computed Tomography.
IEEE Trans. Biomed. Eng.
Jing Wang, Hongbing Lu, Junhai Wen, Zhengrong Liang
2006 — conf
Integrated the Simplified Interpolation and Clonal Selection into the Particle Swarm Optimization for Optimization Problems.
SEAL
Jing Wang, Xiaohua Zhang, Licheng Jiao
2006 B conf
Investigation on an EM framework for partial volume image segmentation.
Image Processing
Daria Eremina, Xiang Li, Wei Zhu, Jing Wang, Zhengrong Liang
2006 — conf
Multiscale Penalized Weighted Least-Squares Sinogram Restoration for Low-Dose X-Ray Computed Tomography.
EMBC
Jing Wang, Zhengrong Liang, Hongbing Lu
2006 J jnl
Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography.
IEEE Trans. Medical Imaging
Jing Wang, Tianfang Li, Hongbing Lu, Zhengrong Liang
2005 B conf
Sinogram noise reduction for low-dose CT by statistics-based nonlinear filters.
Image Processing
Jing Wang, Hongbing Lu, Tianfang Li, Zhengrong Liang
2004 B conf
SNR-weighted sinogram smoothing with improved noise-resolution properties for low-dose x-ray computed tomography.
Image Processing
Tianfang Li, Jing Wang, Junhai Wen, Xiang Li, Hongbing Lu, Jiang Hsieh, Zhengrong Liang