Jun Lian
Orcid: 0000-0002-2041-9074
According to our database1,
Jun Lian
authored at least 30 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
SinoSynth: A Physics-Based Domain Randomization Approach for Generalizable CBCT Image Enhancement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy.
IEEE Trans. Medical Imaging, April, 2023
3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
The importance of data domain on self-supervised learning for brain metastasis detection and segmentation.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
2022
OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines.
CoRR, 2022
Optimal Decision-Making in Chinese Cross-Border Mergers and Acquisitions: A Perspective of Overbidding.
Complex., 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy.
IEEE Trans. Medical Imaging, 2021
Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images.
Medical Image Anal., 2021
Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images.
CoRR, 2021
Machine learning and statistical prediction of patient quality-of-life after prostate radiation therapy.
Comput. Biol. Medicine, 2021
Synthetic digital reconstructed radiographs for MR-only robotic stereotactic radiation therapy: A proof of concept.
Comput. Biol. Medicine, 2021
2020
CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation.
IEEE Trans. Medical Imaging, 2020
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation.
IEEE Trans. Image Process., 2020
Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations.
IEEE Trans. Biomed. Eng., 2020
Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks".
IEEE Trans. Biomed. Eng., 2020
Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2019
2018
IEEE Trans. Biomed. Eng., 2018
2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model.
IEEE Trans. Medical Imaging, 2016
Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests.
IEEE Trans. Medical Imaging, 2016
Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
2013
Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images.
IEEE Trans. Medical Imaging, 2013
2012
Hierarchical Patch-Based Sparse Representation - A New Approach for Resolution Enhancement of 4D-CT Lung Data.
IEEE Trans. Medical Imaging, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2011