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2020 – today
- 2024
[c12]Yunkui Pang
, Yilin Liu, Xu Chen, Pew-Thian Yap, Jun Lian:
SinoSynth: A Physics-Based Domain Randomization Approach for Generalizable CBCT Image Enhancement. MICCAI (7) 2024: 646-656- [i3]Yunkui Pang, Yilin Liu, Xu Chen, Pew-Thian Yap, Jun Lian:
SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement. CoRR abs/2409.18355 (2024) - 2023
- [j16]Fan Wang, Xuanang Xu, Defu Yang, Ronald C. Chen, Trevor J. Royce, Andrew Z. Wang, Jun Lian, Chunfeng Lian:
Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy. IEEE Trans. Medical Imaging 42(4): 1046-1055 (2023) - [c11]Youngjin Yoo, Gengyan Zhao, Andreea Sandu, Thomas J. Re, Jyotipriya Das, Hesheng Wang, Michelle Kim, Colette Shen, Yueh Lee, Douglas Kondziolka, Mohannad Ibrahim, Jun Lian, Rajan Jain, Tong Zhu, Hemant Parmar, James M. Balter, Yue Cao, Eli Gibson, Dorin Comaniciu:
The importance of data domain on self-supervised learning for brain metastasis detection and segmentation. Medical Imaging: Computer-Aided Diagnosis 2023 - [c10]Gengyan Zhao, Youngjin Yoo, Thomas J. Re, Jyotipriya Das, Hesheng Wang, Michelle Kim, Colette Shen, Yueh Lee, Douglas Kondziolka, Mohannad Ibrahim, Jun Lian, Rajan Jain, Tong Zhu, Hemant Parmar, James M. Balter, Yue Cao, Eli Gibson, Dorin Comaniciu:
3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation. Medical Imaging: Image Processing 2023 - 2022
- [j15]Yanping Bao, Chan Lyu, Xia Wu, Jun Lian:
Optimal Decision-Making in Chinese Cross-Border Mergers and Acquisitions: A Perspective of Overbidding. Complex. 2022: 8298451:1-8298451:13 (2022) - [c9]Yunkui Pang, Xu Chen, Yunzhi Huang, Pew-Thian Yap, Jun Lian:
Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer. MICCAI (6) 2022: 485-494 - [i2]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, Erik Faustmann, Sibaji Gaj, Skylar S. Gay, Mary Gronberg, Bingqi Guo, Junjun He, Gerd Heilemann, Sanchit Hira, Yuliang Huang, Fuxin Ji, Dashan Jiang, Jean Carlo Jimenez Giraldo, Hoyeon Lee, Jun Lian, Shuolin Liu, Keng-Chi Liu, José Marrugo, Kentaro Miki, Kunio Nakamura, Tucker J. Netherton, Dan Nguyen, Hamidreza Nourzadeh, Alexander F. I. Osman, Zhao Peng, José Darío Quinto Muñoz, Christian Ramsl, Dong Joo Rhee, Juan David Rodriguez, Hongming Shan, Jeffrey V. Siebers, Mumtaz Hussain Soomro, Kay Sun, Andrés Usuga Hoyos, Carlos Valderrama, Rob Verbeek, Enpei Wang, Siri Willems, Qi Wu, Xuanang Xu, Sen Yang, Lulin Yuan, Simeng Zhu, Lukas Zimmermann, Kevin L. Moore, Thomas G. Purdie, Andrea L. McNiven, Timothy C. Y. Chan:
OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines. CoRR abs/2202.08303 (2022) - 2021
- [j14]Zhijian Yang, Daniel J. Olszewski, Chujun He, Giulia Pintea, Jun Lian, Tom Chou, Ronald C. Chen, Blerta Shtylla:
Machine learning and statistical prediction of patient quality-of-life after prostate radiation therapy. Comput. Biol. Medicine 129: 104127 (2021) - [j13]Gregory Szalkowski, Dong Nie, Tong Zhu, Pew-Thian Yap, Jun Lian:
Synthetic digital reconstructed radiographs for MR-only robotic stereotactic radiation therapy: A proof of concept. Comput. Biol. Medicine 138: 104917 (2021) - [j12]Xuanang Xu, Chunfeng Lian, Shuai Wang, Tong Zhu, Ronald C. Chen, Andrew Z. Wang, Trevor J. Royce, Pew-Thian Yap, Dinggang Shen, Jun Lian:
Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images. Medical Image Anal. 72: 102116 (2021) - [j11]Shuai Wang, Mingxia Liu, Jun Lian, Dinggang Shen:
Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy. IEEE Trans. Medical Imaging 40(1): 310-320 (2021) - [i1]Shuai Wang, Theodore Yanagihara, Bhishamjit Chera, Colette Shen, Pew-Thian Yap, Jun Lian:
Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images. CoRR abs/2110.12192 (2021) - 2020
- [j10]Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen:
Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks". IEEE Trans. Biomed. Eng. 67(9): 2706 (2020) - [j9]Shuai Wang, Qian Wang, Yeqin Shao, Liangqiong Qu, Chunfeng Lian, Jun Lian, Dinggang Shen:
Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations. IEEE Trans. Biomed. Eng. 67(10): 2710-2720 (2020) - [j8]Sihang Zhou, Dong Nie, Ehsan Adeli, Jianping Yin, Jun Lian, Dinggang Shen:
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation. IEEE Trans. Image Process. 29: 461-475 (2020) - [j7]Shuai Wang, Dong Nie, Liangqiong Qu, Yeqin Shao, Jun Lian, Qian Wang, Dinggang Shen:
CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation. IEEE Trans. Medical Imaging 39(6): 2151-2162 (2020) - [c8]Xuanang Xu, Chunfeng Lian, Shuai Wang, Andrew Z. Wang, Trevor J. Royce, Ronald C. Chen, Jun Lian, Dinggang Shen:
Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image. MICCAI (4) 2020: 470-479
2010 – 2019
- 2019
- [j6]Dong Nie, Li Wang, Yaozong Gao, Jun Lian, Dinggang Shen:
STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1552-1564 (2019) - 2018
- [j5]Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen:
Medical Image Synthesis with Deep Convolutional Adversarial Networks. IEEE Trans. Biomed. Eng. 65(12): 2720-2730 (2018) - 2017
- [c7]Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen:
Medical Image Synthesis with Context-Aware Generative Adversarial Networks. MICCAI (3) 2017: 417-425 - 2016
- [j4]Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Jun Lian, Dinggang Shen:
Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model. IEEE Trans. Medical Imaging 35(1): 174-183 (2016) - [j3]Yaozong Gao, Yeqin Shao, Jun Lian, Andrew Z. Wang, Ronald C. Chen, Dinggang Shen:
Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests. IEEE Trans. Medical Imaging 35(6): 1532-1543 (2016) - [c6]Shan Yang, Vladimir Jojic, Jun Lian, Ronald C. Chen, Hongtu Zhu, Ming C. Lin:
Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis. MICCAI (1) 2016: 627-635 - 2015
- [c5]Yaozong Gao, Jun Lian, Dinggang Shen:
Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs. MICCAI (3) 2015: 114-122 - 2013
- [j2]Shu Liao, Yaozong Gao, Jun Lian, Dinggang Shen:
Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images. IEEE Trans. Medical Imaging 32(2): 419-434 (2013) - 2012
- [j1]Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen:
Hierarchical Patch-Based Sparse Representation - A New Approach for Resolution Enhancement of 4D-CT Lung Data. IEEE Trans. Medical Imaging 31(11): 1993-2005 (2012) - [c4]Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen:
Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation. CVPR 2012: 925-931 - [c3]Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen:
Non-local Means Resolution Enhancement of Lung 4D-CT Data. MICCAI (1) 2012: 214-222 - 2011
- [c2]Guorong Wu, Qian Wang, Jun Lian, Dinggang Shen:
Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration. IPMI 2011: 686-698 - [c1]Guorong Wu, Qian Wang, Jun Lian, Dinggang Shen:
Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image. MICCAI (1) 2011: 532-539
Coauthor Index
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