Jun Lian

31 papers A* 1B 1Journal 19Unranked 10
YearRankTypeTitle / Venue / Authors
2024 — conf
SinoSynth: A Physics-Based Domain Randomization Approach for Generalizable CBCT Image Enhancement.
MICCAI (7)
Yunkui Pang, Yilin Liu, Xu Chen, Pew-Thian Yap, Jun Lian
2024 J jnl
SinoSynth: A Physics-based Domain Randomization Approach for Generalizable CBCT Image Enhancement.
CoRR
Yunkui Pang, Yilin Liu, Xu Chen, Pew-Thian Yap, Jun Lian
2023 B conf
3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation.
Image Processing
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
2023 J jnl
Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy.
IEEE Trans. Medical Imaging
Fan Wang, Xuanang Xu, Defu Yang, Ronald C. Chen, Trevor J. Royce, Andrew Z. Wang, Jun Lian, Chunfeng Lian
2023 — conf
The importance of data domain on self-supervised learning for brain metastasis detection and segmentation.
Computer-Aided Diagnosis
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
2022 J jnl
OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines.
CoRR
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
2022 J jnl
Optimal Decision-Making in Chinese Cross-Border Mergers and Acquisitions: A Perspective of Overbidding.
Complex.
Yanping Bao, Chan Lyu, Xia Wu, Jun Lian
2022 — conf
Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer.
MICCAI (6)
Yunkui Pang, Xu Chen, Yunzhi Huang, Pew-Thian Yap, Jun Lian
2021 J jnl
Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images.
Medical Image Anal.
Xuanang Xu, Chunfeng Lian, Shuai Wang, Tong Zhu, Ronald C. Chen, Andrew Z. Wang, Trevor J. Royce, Pew-Thian Yap, Dinggang Shen, Jun Lian
2021 J jnl
Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy.
IEEE Trans. Medical Imaging
Shuai Wang, Mingxia Liu, Jun Lian, Dinggang Shen
2021 J jnl
Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images.
CoRR
Shuai Wang, Theodore Yanagihara, Bhishamjit Chera, Colette Shen, Pew-Thian Yap, Jun Lian
2021 J jnl
Machine learning and statistical prediction of patient quality-of-life after prostate radiation therapy.
Comput. Biol. Medicine
Zhijian Yang, Daniel J. Olszewski, Chujun He, Giulia Pintea, Jun Lian, Tom Chou, Ronald C. Chen, Blerta Shtylla
2021 J jnl
Synthetic digital reconstructed radiographs for MR-only robotic stereotactic radiation therapy: A proof of concept.
Comput. Biol. Medicine
Gregory Szalkowski, Dong Nie, Tong Zhu, Pew-Thian Yap, Jun Lian
2020 — conf
Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image.
MICCAI (4)
Xuanang Xu, Chunfeng Lian, Shuai Wang, Andrew Z. Wang, Trevor J. Royce, Ronald C. Chen, Jun Lian, Dinggang Shen
2020 J jnl
CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation.
IEEE Trans. Medical Imaging
Shuai Wang, Dong Nie, Liangqiong Qu, Yeqin Shao, Jun Lian, Qian Wang, Dinggang Shen
2020 J jnl
Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks".
IEEE Trans. Biomed. Eng.
Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
2020 J jnl
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation.
IEEE Trans. Image Process.
Sihang Zhou, Dong Nie, Ehsan Adeli, Jianping Yin, Jun Lian, Dinggang Shen
2020 J jnl
Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations.
IEEE Trans. Biomed. Eng.
Shuai Wang, Qian Wang, Yeqin Shao, Liangqiong Qu, Chunfeng Lian, Jun Lian, Dinggang Shen
2019 J jnl
STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation.
IEEE Trans. Neural Networks Learn. Syst.
Dong Nie, Li Wang, Yaozong Gao, Jun Lian, Dinggang Shen
2018 J jnl
Medical Image Synthesis with Deep Convolutional Adversarial Networks.
IEEE Trans. Biomed. Eng.
Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
2017 — conf
Medical Image Synthesis with Context-Aware Generative Adversarial Networks.
MICCAI (3)
Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
2016 J jnl
Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests.
IEEE Trans. Medical Imaging
Yaozong Gao, Yeqin Shao, Jun Lian, Andrew Z. Wang, Ronald C. Chen, Dinggang Shen
2016 — conf
Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis.
MICCAI (1)
Shan Yang, Vladimir Jojic, Jun Lian, Ronald C. Chen, Hongtu Zhu, Ming C. Lin
2016 J jnl
Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model.
IEEE Trans. Medical Imaging
Tri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Jun Lian, Dinggang Shen
2015 — conf
Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs.
MICCAI (3)
Yaozong Gao, Jun Lian, Dinggang Shen
2013 J jnl
Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images.
IEEE Trans. Medical Imaging
Shu Liao, Yaozong Gao, Jun Lian, Dinggang Shen
2012 J jnl
Hierarchical Patch-Based Sparse Representation - A New Approach for Resolution Enhancement of 4D-CT Lung Data.
IEEE Trans. Medical Imaging
Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen
2012 — conf
Non-local Means Resolution Enhancement of Lung 4D-CT Data.
MICCAI (1)
Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen
2012 A* conf
Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation.
CVPR
Yu Zhang, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, Dinggang Shen
2011 — conf
Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image.
MICCAI (1)
Guorong Wu, Qian Wang, Jun Lian, Dinggang Shen
2011 — conf
Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration.
IPMI
Guorong Wu, Qian Wang, Jun Lian, Dinggang Shen