SNR-weighted sinogram smoothing with improved noise-resolution properties for low-dose x-ray computed tomography. - Tianfang Li; Jing Wang 022; Junhai Wen; Xiang Li 100; Hongbing Lu; Jiang Hsieh; Zhengrong Liang (Image Processing, 2004)

Sinogram noise reduction for low-dose CT by statistics-based nonlinear filters. - Jing Wang 022; Hongbing Lu; Tianfang Li; Zhengrong Liang (Image Processing, 2005)

Multiscale Penalized Weighted Least-Squares Sinogram Restoration for Low-Dose X-Ray Computed Tomography. - Jing Wang 022; Zhengrong Liang; Hongbing Lu (EMBC, 2006)

Investigation on an EM framework for partial volume image segmentation. - Daria Eremina; Xiang Li 100; Wei Zhu 008; Jing Wang 022; Zhengrong Liang (Image Processing, 2006)

Integrated the Simplified Interpolation and Clonal Selection into the Particle Swarm Optimization for Optimization Problems. - Jing Wang 022; Xiaohua Zhang; Licheng Jiao (SEAL, 2006)

Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography. - Jing Wang 022; Tianfang Li; Hongbing Lu; Zhengrong Liang (IEEE Trans. Medical Imaging, 2006)

Multiscale Penalized Weighted Least-Squares Sinogram Restoration for Low-Dose X-Ray Computed Tomography. - Jing Wang 022; Hongbing Lu; Junhai Wen; Zhengrong Liang (IEEE Trans. Biomed. Eng., 2008)

Statistical image reconstruction for low-dose CT using nonlocal means-based regularization. - Hao Zhang 026; Jianhua Ma 001; Jing Wang 022; Yan Liu 022; Hongbing Lu; Zhengrong Liang (Comput. Medical Imaging Graph., 2014)

Mooney-Rivlin biomechanical modeling of lung with Inhomogeneous material. - Joubin Nasehi Tehrani; Jing Wang 022 (EMBC, 2015)

Statistical image reconstruction for low-dose CT using nonlocal means-based regularization. Part II: An adaptive approach. - Hao Zhang 026; Jianhua Ma 001; Jing Wang 022; Yan Liu 022; Hao Han; Hongbing Lu; William Moore; Zhengrong Liang (Comput. Medical Imaging Graph., 2015)

Distant failure prediction for early stage NSCLC by analyzing PET with sparse representation. - Hongxia Hao; Zhiguo Zhou; Jing Wang 022 (Computer-Aided Diagnosis, 2017)

Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion. - Zhiguo Zhou; Zhi-Jie Zhou; Hongxia Hao; Shulong Li; Xi Chen; You Zhang 003; Michael Folkert; Jing Wang 022 (CoRR, 2017)

Accurate Real Time Localization Tracking in A Clinical Environment using Bluetooth Low Energy and Deep Learning. - Zohaib Iqbal; Da Luo; Peter Henry; Samaneh Kazemifar; Timothy Rozario; Yulong Yan; Kenneth Westover; Weiguo Lu; Dan Nguyen; Troy Long; Jing Wang 022; Hak Choy; et al. (CoRR, 2017)

Low-Dose CBCT Reconstruction Using Hessian Schatten Penalties. - Liang Liu; Xinxin Li; Kai Xiang; Jing Wang 022; Shan Tan (IEEE Trans. Medical Imaging, 2017)

A Biomechanical Modeling Guided CBCT Estimation Technique. - You Zhang 003; Joubin Nasehi Tehrani; Jing Wang 022 (IEEE Trans. Medical Imaging, 2017)

Predicting Lymph Node Metastasis in Head and Neck Cancer by Combining Many-objective Radiomics and 3-dimensioal Convolutional Neural Network through Evidential Reasoning. - Zhiguo Zhou; Liyuan Chen; David J. Sher; Qiongwen Zhang; Jennifer Shah; Nhat-Long Pham; Steve B. Jiang; Jing Wang 022 (EMBC, 2018)

Automatic PET cervical tumor segmentation by deep learning with prior information. - Liyuan Chen; Chenyang Shen; Shulong Li; Genevieve Maquilan; Kevin Albuquerque; Michael R. Folkert; Jing Wang 022 (Image Processing, 2018)

Accurate segmenting of cervical tumors in PET imaging based on similarity between adjacent slices. - Liyuan Chen; Chenyang Shen; Zhiguo Zhou; Genevieve Maquilan; Kimberly Thomas; Michael R. Folkert; Kevin Albuquerque; Jing Wang 022 (Comput. Biol. Medicine, 2018)

Iterative reconstruction for photon-counting CT using prior image constrained total generalized variation. - Shanzhou Niu; You Zhang 003; Yuncheng Zhong; Guoliang Liu; Shaohui Lu; Xile Zhang; Shengzhou Hu; Tinghua Wang; Gaohang Yu; Jing Wang 022 (Comput. Biol. Medicine, 2018)

Automatic multi-objective based feature selection for classification. - Zhiguo Zhou; Shulong Li; Genggeng Qin; Michael Folkert; Steve B. Jiang; Jing Wang 022 (CoRR, 2018)

Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features. - Shulong Li; Panpan Xu; Bin Li; Liyuan Chen; Zhiguo Zhou; Hongxia Hao; Yingying Duan; Michael Folkert; Jianhua Ma 001; Steve B. Jiang; Jing Wang 022 (CoRR, 2018)

A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT. - 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 022 (Medical Image Anal., 2018)

Statistical Iterative CBCT Reconstruction Based on Neural Network. - Binbin Chen; Kai Xiang; Zaiwen Gong; Jing Wang 022; Shan Tan (IEEE Trans. Medical Imaging, 2018)

Reliable lymph node metastasis prediction in head & neck cancer through automated multi-objective model. - Zhiguo Zhou; Michael Dohopolski; Liyuan Chen; Xi Chen; Steve B. Jiang; David J. Sher; Jing Wang 022 (BHI, 2019)

A Reliable Multi-classifier Multi-objective Model for Predicting Recurrence in Triple Negative Breast Cancer. - Xi Chen; Zhiguo Zhou; Kimberly Thomas; Michael Folkert; Nathan Kim; Asal Rahimi; Jing Wang 022 (EMBC, 2019)

A shell and kernel descriptor based joint deep learning model for predicting breast lesion malignancy. - Zhiguo Zhou; Genggeng Qin; Pingkun Yan; Hongxia Hao; Steve B. Jiang; Jing Wang 022 (Computer-Aided Diagnosis, 2019)

Advanced 4-dimensional cone-beam computed tomography reconstruction by combining motion estimation, motion-compensated reconstruction, biomechanical modeling and deep learning. - You Zhang 003; Xiaokun Huang; Jing Wang 022 (Vis. Comput. Ind. Biomed. Art, 2019)

Hybrid Automatic Lung Segmentation on Chest CT Scans. - Tao Peng 013; Thomas Canhao Xu; Yihuai Wang; Hailing Zhou; Sema Candemir; Wan Mimi Diyana Wan Zaki; Shanq-Jang Ruan; Jing Wang 022; Xinjian Chen 001 (IEEE Access, 2020)

A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification. - Ying Ren; Min-Yu Tsai; Liyuan Chen; Jing Wang 022; Shulong Li; Yufei Liu; Xun Jia; Chenyang Shen (Int. J. Comput. Assist. Radiol. Surg., 2020)

Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification. - Zhiguo Zhou; Shulong Li; Genggeng Qin; Michael Folkert; Steve B. Jiang; Jing Wang 022 (IEEE J. Biomed. Health Informatics, 2020)

Interpretable Mathematical Model-guided Ultrasound Prostate Contour Extraction Using Data Mining Techniques. - Tao Peng 013; Jing Zhao; Jing Wang 022 (BIBM, 2021)

Lung contour detection in Chest X-ray images using Mask Region-based Convolutional Neural Network and Adaptive Closed Polyline Searching Method. - Tao Peng 013; Yidong Gu; Jing Wang 022 (EMBC, 2021)

Multi-Modality and Multi-View 2D CNN to Predict Locoregional Recurrence in Head & Neck Cancer. - Jinkun Guo; Rongfang Wang; Zhiguo Zhou; Kai Wang 053; Rongbin Xu; Jing Wang 022 (IJCNN, 2021)

Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy. - Jaehee Chun; Justin C. Park; Sven Olberg; You Zhang 003; Dan Nguyen; Jing Wang 022; Jin Sung Kim; Steve B. Jiang (CoRR, 2021)

Recurrence-Free Survival Prediction Under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers. - Kai Wang 053; Yunxiang Li; Michael Dohopolski; Tao Peng 013; Weiguo Lu; You Zhang 003; Jing Wang 022 (HECKTOR@MICCAI, 2022)

Prostate Segmentation of Ultrasound Images Based on Interpretable-Guided Mathematical Model. - Tao Peng 013; Caiyin Tang; Jing Wang 022 (MMM (1), 2022)

Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity. - Weiguo Cao; Marc Jason Pomeroy; Zhengrong Liang; Yongfeng Gao; Yongyi Shi; Jiaxing Tan; Fangfang Han; Jing Wang 022; Jianhua Ma 001; Hongbin Lu; Almas F. Abbasi; Perry J. Pickhardt (CoRR, 2022)

Uncertainty estimations methods for a deep learning model to aid in clinical decision-making - a clinician's perspective. - Michael Dohopolski; Kai Wang 053; Biling Wang; Ti Bai; Dan Nguyen; David J. Sher; Steve B. Jiang; Jing Wang 022 (CoRR, 2022)

A-LugSeg: Automatic and explainability-guided multi-site lung detection in chest X-ray images. - Tao Peng 013; Yidong Gu; Zhenyu Ye; Xiuxiu Cheng; Jing Wang 022 (Expert Syst. Appl., 2022)

Real-time liver motion estimation via combined surface imaging and single x-ray imaging using a deep learning-based approach (Surf-X) (Conference Presentation). - Hua-Chieh Shao; Yunxiang Li; Jing Wang 022; Steve Jiang; You Zhang 003 (Image-Guided Procedures, 2023)

Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model. - Shanshan Tang; Kai Wang 053; David Hein; Gloria Lin; Nina N. Sanford; Jing Wang 022 (CoRR, 2023)

nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance. - Yunxiang Li; Bowen Jing; Zihan Li; Jing Wang 022; You Zhang 003 (CoRR, 2023)

Ultrasound Volume Reconstruction From Freehand Scans Without Tracking. - Hengtao Guo; Hanqing Chao; Sheng Xu 001; Bradford J. Wood; Jing Wang 022; Pingkun Yan (IEEE Trans. Biomed. Eng., 2023)

Deep Filtered Back Projection for CT Reconstruction. - Xi Tan 004; Xuan Liu; Kai Xiang; Jing Wang 022; Shan Tan (IEEE Access, 2024)

ASF-LKUNet: Adjacent-scale fusion U-Net with large kernel for multi-organ segmentation. - Rongfang Wang; Zhaoshan Mu; Jing Wang 022; Kai Wang 053; Hui Liu; Zhiguo Zhou; Licheng Jiao (Comput. Biol. Medicine, 2024)

TransAnaNet: Transformer-based Anatomy Change Prediction Network for Head and Neck Cancer Patient Radiotherapy. - Meixu Chen; Kai Wang 053; Michael Dohopolski; Howard E. Morgan; David J. Sher; Jing Wang 022 (CoRR, 2024)

Zero-Shot Medical Image Translation via Frequency-Guided Diffusion Models. - Yunxiang Li; Hua-Chieh Shao; Xiao Liang; Liyuan Chen; Ruiqi Li; Steve B. Jiang; Jing Wang 022; You Zhang 003 (IEEE Trans. Medical Imaging, 2024)

Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework. - Hengrui Zhao; Biling Wang; Deepkumar Mistry; Jing Wang 022; Michael Dohopolski; Daniel Yang; Weiguo Lu; Steve B. Jiang; Dan Nguyen (Mach. Learn. Sci. Technol., 2025)