Jing Wang

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 33

Top Topics

Convolutional Neural Network

Tumor Segmentation

Top Venues

IEEE Trans. Medical Imaging

Medical Imaging: Computer-Aided Diagnosis

Publications

Meixu Chen, Kai Wang, Michael Dohopolski, Howard E. Morgan, David J. Sher, Jing Wang
TransAnaNet: Transformer-based Anatomy Change Prediction Network for Head and Neck Cancer Patient Radiotherapy. CoRR (2024)
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)
Hengtao Guo, Hanqing Chao, Sheng Xu, Bradford J. Wood, Jing Wang, Pingkun Yan
Ultrasound Volume Reconstruction From Freehand Scans Without Tracking. IEEE Trans. Biomed. Eng. 70 (3) (2023)
Hua-Chieh Shao, Yunxiang Li, Jing Wang, Steve Jiang, You Zhang
Real-time liver motion estimation via combined surface imaging and single x-ray imaging using a deep learning-based approach (Surf-X) (Conference Presentation). Medical Imaging: Image-Guided Procedures (2023)
Kai Wang, Yunxiang Li, Michael Dohopolski, Tao Peng, Weiguo Lu, You Zhang, Jing Wang
Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers. CoRR (2022)
Tao Peng, Caiyin Tang, Jing Wang
Prostate Segmentation of Ultrasound Images Based on Interpretable-Guided Mathematical Model. MMM (1) (2022)
Kai Wang, Yunxiang Li, Michael Dohopolski, Tao Peng, Weiguo Lu, You Zhang, Jing Wang
Recurrence-Free Survival Prediction Under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers. HECKTOR@MICCAI (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)
Tao Peng, Yidong Gu, Zhenyu Ye, Xiuxiu Cheng, Jing Wang
A-LugSeg: Automatic and explainability-guided multi-site lung detection in chest X-ray images. Expert Syst. Appl. 198 (2022)
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)
Tao Peng, Yidong Gu, Jing Wang
Lung contour detection in Chest X-ray images using Mask Region-based Convolutional Neural Network and Adaptive Closed Polyline Searching Method. EMBC (2021)
Ying Ren, Min-Yu Tsai, Liyuan Chen, Jing Wang, Shulong Li, Yufei Liu, Xun Jia, Chenyang Shen
A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification. Int. J. Comput. Assist. Radiol. Surg. 15 (2) (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)
Tao Peng, Thomas Canhao Xu, Yihuai Wang, Hailing Zhou, Sema Candemir, Wan Mimi Diyana Wan Zaki, Shanq-Jang Ruan, Jing Wang, Xinjian Chen
Hybrid Automatic Lung Segmentation on Chest CT Scans. IEEE Access 8 (2020)
Xi Chen, Zhiguo Zhou, Kimberly Thomas, Michael Folkert, Nathan Kim, Asal Rahimi, Jing Wang
A Reliable Multi-classifier Multi-objective Model for Predicting Recurrence in Triple Negative Breast Cancer. EMBC (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)
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)
You Zhang, Xiaokun Huang, Jing Wang
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 2 (2019)
Shanzhou Niu, You Zhang, Yuncheng Zhong, Guoliang Liu, Shaohui Lu, Xile Zhang, Shengzhou Hu, Tinghua Wang, Gaohang Yu, Jing Wang
Iterative reconstruction for photon-counting CT using prior image constrained total generalized variation. Comput. Biol. Medicine 103 (2018)
Liyuan Chen, Chenyang Shen, Zhiguo Zhou, Genevieve Maquilan, Kimberly Thomas, Michael R. Folkert, Kevin Albuquerque, Jing Wang
Accurate segmenting of cervical tumors in PET imaging based on similarity between adjacent slices. Comput. Biol. Medicine 97 (2018)
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)
Zhiguo Zhou, Shulong Li, Genggeng Qin, Michael Folkert, Steve B. Jiang, Jing Wang
Automatic multi-objective based feature selection for classification. CoRR (2018)
Binbin Chen, Kai Xiang, Zaiwen Gong, Jing Wang, Shan Tan
Statistical Iterative CBCT Reconstruction Based on Neural Network. IEEE Trans. Medical Imaging 37 (6) (2018)
Liyuan Chen, Chenyang Shen, Shulong Li, Genevieve Maquilan, Kevin Albuquerque, Michael R. Folkert, Jing Wang
Automatic PET cervical tumor segmentation by deep learning with prior information. Medical Imaging: Image Processing (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)
You Zhang, Joubin Nasehi Tehrani, Jing Wang
A Biomechanical Modeling Guided CBCT Estimation Technique. IEEE Trans. Medical Imaging 36 (2) (2017)
Zhiguo Zhou, Zhi-Jie Zhou, Hongxia Hao, Shulong Li, Xi Chen, You Zhang, Michael Folkert, Jing Wang
Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion. CoRR (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)
Hongxia Hao, Zhiguo Zhou, Jing Wang
Distant failure prediction for early stage NSCLC by analyzing PET with sparse representation. Medical Imaging: Computer-Aided Diagnosis (2017)
Liang Liu, Xinxin Li, Kai Xiang, Jing Wang, Shan Tan
Low-Dose CBCT Reconstruction Using Hessian Schatten Penalties. IEEE Trans. Medical Imaging 36 (12) (2017)
Joubin Nasehi Tehrani, Jing Wang
Mooney-Rivlin biomechanical modeling of lung with Inhomogeneous material. EMBC (2015)
Hao Zhang, Jianhua Ma, Jing Wang, Yan Liu, Hao Han, Hongbing Lu, William Moore, Zhengrong Liang
Statistical image reconstruction for low-dose CT using nonlocal means-based regularization. Part II: An adaptive approach. Comput. Medical Imaging Graph. 43 (2015)
Hao Zhang, Jianhua Ma, Jing Wang, Yan Liu, Hongbing Lu, Zhengrong Liang
Statistical image reconstruction for low-dose CT using nonlocal means-based regularization. Comput. Medical Imaging Graph. 38 (6) (2014)
Jing Wang, Hongbing Lu, Junhai Wen, Zhengrong Liang
Multiscale Penalized Weighted Least-Squares Sinogram Restoration for Low-Dose X-Ray Computed Tomography. IEEE Trans. Biomed. Eng. 55 (3) (2008)
Daria Eremina, Xiang Li, Wei Zhu, Jing Wang, Zhengrong Liang
Investigation on an EM framework for partial volume image segmentation. Medical Imaging: Image Processing (2006)
Jing Wang, Tianfang Li, Hongbing Lu, Zhengrong Liang
Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography. IEEE Trans. Medical Imaging 25 (10) (2006)
Jing Wang, Zhengrong Liang, Hongbing Lu
Multiscale Penalized Weighted Least-Squares Sinogram Restoration for Low-Dose X-Ray Computed Tomography. EMBC (2006)
Jing Wang, Hongbing Lu, Tianfang Li, Zhengrong Liang
Sinogram noise reduction for low-dose CT by statistics-based nonlinear filters. Medical Imaging: Image Processing (2005)
Tianfang Li, Jing Wang, Junhai Wen, Xiang Li, Hongbing Lu, Jiang Hsieh, Zhengrong Liang
SNR-weighted sinogram smoothing with improved noise-resolution properties for low-dose x-ray computed tomography. Medical Imaging: Image Processing (2004)