Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration. - Guorong Wu 001; Qian Wang 001; Jun Lian; Dinggang Shen (IPMI, 2011)

Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image. - Guorong Wu 001; Qian Wang 001; Jun Lian; Dinggang Shen (MICCAI (1), 2011)

Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation. - Yu Zhang; Guorong Wu 001; Pew-Thian Yap; Qianjin Feng; Jun Lian; Wufan Chen; Dinggang Shen (CVPR, 2012)

Non-local Means Resolution Enhancement of Lung 4D-CT Data. - Yu Zhang; Guorong Wu 001; Pew-Thian Yap; Qianjin Feng; Jun Lian; Wufan Chen; Dinggang Shen (MICCAI (1), 2012)

Hierarchical Patch-Based Sparse Representation - A New Approach for Resolution Enhancement of 4D-CT Lung Data. - Yu Zhang; Guorong Wu 001; Pew-Thian Yap; Qianjin Feng; Jun Lian; Wufan Chen; Dinggang Shen (IEEE Trans. Medical Imaging, 2012)

Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images. - Shu Liao; Yaozong Gao; Jun Lian; Dinggang Shen (IEEE Trans. Medical Imaging, 2013)

Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs. - Yaozong Gao; Jun Lian; Dinggang Shen (MICCAI (3), 2015)

Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis. - Shan Yang; Vladimir Jojic; Jun Lian; Ronald C. Chen; Hongtu Zhu; Ming C. Lin (MICCAI (1), 2016)

Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests. - Yaozong Gao; Yeqin Shao; Jun Lian; Andrew Z. Wang; Ronald C. Chen; Dinggang Shen (IEEE Trans. Medical Imaging, 2016)

Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model. - Tri Huynh; Yaozong Gao; Jiayin Kang; Li Wang 026; Pei Zhang 002; Jun Lian; Dinggang Shen (IEEE Trans. Medical Imaging, 2016)

Medical Image Synthesis with Context-Aware Generative Adversarial Networks. - Dong Nie; Roger Trullo; Jun Lian; Caroline Petitjean; Su Ruan; Qian Wang 001; Dinggang Shen (MICCAI (3), 2017)

Medical Image Synthesis with Deep Convolutional Adversarial Networks. - Dong Nie; Roger Trullo; Jun Lian; Li Wang 026; Caroline Petitjean; Su Ruan; Qian Wang 001; Dinggang Shen (IEEE Trans. Biomed. Eng., 2018)

STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation. - Dong Nie; Li Wang 026; Yaozong Gao; Jun Lian; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2019)

Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image. - Xuanang Xu; Chunfeng Lian; Shuai Wang 003; Andrew Z. Wang; Trevor J. Royce; Ronald C. Chen; Jun Lian; Dinggang Shen (MICCAI (4), 2020)

Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks". - Dong Nie; Roger Trullo; Jun Lian; Li Wang 026; Caroline Petitjean; Su Ruan; Qian Wang 001; Dinggang Shen (IEEE Trans. Biomed. Eng., 2020)

Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations. - Shuai Wang 003; Qian Wang 001; Yeqin Shao; Liangqiong Qu; Chunfeng Lian; Jun Lian; Dinggang Shen (IEEE Trans. Biomed. Eng., 2020)

High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation. - Sihang Zhou 001; Dong Nie; Ehsan Adeli 001; Jianping Yin; Jun Lian; Dinggang Shen (IEEE Trans. Image Process., 2020)

CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation. - Shuai Wang 003; Dong Nie; Liangqiong Qu; Yeqin Shao; Jun Lian; Qian Wang 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Synthetic digital reconstructed radiographs for MR-only robotic stereotactic radiation therapy: A proof of concept. - Gregory Szalkowski; Dong Nie; Tong Zhu; Pew-Thian Yap; Jun Lian (Comput. Biol. Medicine, 2021)

Machine learning and statistical prediction of patient quality-of-life after prostate radiation therapy. - Zhijian Yang; Daniel J. Olszewski; Chujun He; Giulia Pintea; Jun Lian; Tom Chou; Ronald C. Chen; Blerta Shtylla (Comput. Biol. Medicine, 2021)

Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images. - Shuai Wang; Theodore Yanagihara; Bhishamjit Chera; Colette Shen; Pew-Thian Yap; Jun Lian (CoRR, 2021)

Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images. - Xuanang Xu; Chunfeng Lian; Shuai Wang 003; Tong Zhu; Ronald C. Chen; Andrew Z. Wang; Trevor J. Royce; Pew-Thian Yap; Dinggang Shen; Jun Lian (Medical Image Anal., 2021)

Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy. - Shuai Wang 003; Mingxia Liu 001; Jun Lian; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer. - Yunkui Pang; Xu Chen 020; Yunzhi Huang; Pew-Thian Yap; Jun Lian (MICCAI (6), 2022)

Optimal Decision-Making in Chinese Cross-Border Mergers and Acquisitions: A Perspective of Overbidding. - Yanping Bao; Chan Lyu; Xia Wu; Jun Lian (Complex., 2022)

OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. - Aaron Babier; Rafid Mahmood; Binghao Zhang; Victor Gabriel Leandro Alves; Ana Maria Barragán-Montero; Joel Beaudry; Carlos E. Cardenas S.; Yankui Chang; Zijie Chen; Jaehee Chun; Kelly Diaz; Harold David Eraso; et al. (CoRR, 2022)

The importance of data domain on self-supervised learning for brain metastasis detection and segmentation. - Youngjin Yoo; Gengyan Zhao; Andreea Sandu; Thomas J. Re; Jyotipriya Das; Hesheng Wang 003; Michelle Kim; Colette Shen; Yueh Lee; Douglas Kondziolka; Mohannad Ibrahim; Jun Lian; et al. (Computer-Aided Diagnosis, 2023)

3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation. - Gengyan Zhao; Youngjin Yoo; Thomas J. Re; Jyotipriya Das; Hesheng Wang 003; Michelle Kim; Colette Shen; Yueh Lee; Douglas Kondziolka; Mohannad Ibrahim; Jun Lian; Rajan Jain; et al. (Image Processing, 2023)

Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy. - Fan Wang 023; Xuanang Xu; Defu Yang; Ronald C. Chen; Trevor J. Royce; Andrew Z. Wang; Jun Lian; Chunfeng Lian (IEEE Trans. Medical Imaging, 2023)

SinoSynth: A Physics-Based Domain Randomization Approach for Generalizable CBCT Image Enhancement. - Yunkui Pang; Yilin Liu; Xu Chen 020; Pew-Thian Yap; Jun Lian (MICCAI (7), 2024)