J. Lian

Dinggang Shen, Li Wang, Dong Nie, 2018, Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

Improving image-guided radiation therapy of lung cancer by reconstructing 4D-CT from a single free-breathing 3D-CT on the treatment day.

Dinggang Shen, Guorong Wu, Jun Lian, 2012, Medical physics.

Feasibility of Breast Preserving Therapy with Single Fraction In Situ Radiotherapy Delivered Intraoperatively

Sha X. Chang, J. Lian, C. Livasy, 2007, Annals of Surgical Oncology.

Cosmetic Outcomes for Accelerated Partial Breast Irradiation Prior to Surgical Excision of Early Stage Breast Cancer Using Single Dose Intraoperative Radiotherapy

J. Lian, C. Livasy, D. Moore, 2011 .

Incorporating Model Parameter Uncertainty into Prostate IMRT Treatment Planning

J. Lian, David Y. Yang, David Y. Yang, 2004 .

Local Control Following Single-Dose Intraoperative Radiotherapy Prior to Surgical Excision of Early-Stage Breast Cancer

J. Lian, C. Livasy, D. Moore, 2011, Annals of Surgical Oncology.

Dosimetric effect due to the motion during deep inspiration breath hold for left‐sided breast cancer radiotherapy

Sha X. Chang, J. Lian, L. Marks, 2015, Journal of applied clinical medical physics.

Resolution enhancement of lung 4D-CT data using multiscale interphase iterative nonlocal means.

D. Shen, P. Yap, Guorong Wu, 2013, Medical physics.

Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations

Chunfeng Lian, Shuai Wang, Qian Wang, 2020, IEEE Transactions on Biomedical Engineering.

Estimating the excess lifetime risk of radiation induced secondary malignancy (SMN) in pediatric patients treated with craniospinal irradiation (CSI): Conventional radiation therapy versus helical intensity modulated radiation therapy.

D. Brenner, D. Fried, J. Lian, 2017, Practical radiation oncology.

Compensation of intrafractional motion for lung stereotactic body radiotherapy (SBRT) on helical TomoTherapy

Sha X. Chang, J. Lian, E. Chao, 2019, Biomedical Physics & Engineering Express.

OpenKBP-Opt: an international and reproducible evaluation of 76 knowledge-based planning pipelines

Victor G. L. Alves, Skylar S. Gay, J. Siebers, 2022, Physics in medicine and biology.

Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model

Yaozong Gao, Dinggang Shen, Li Wang, 2016, IEEE Transactions on Medical Imaging.

Dosimetric feasibility of sparing the primary site for oropharyngeal squamous cell carcinoma after transoral laser microsurgery in patients with unilateral positive neck nodes.

D. Fried, J. Lian, B. Chera, 2013, Practical radiation oncology.

Synthetic digital reconstructed radiographs for MR-only robotic stereotactic radiation therapy: A proof of concept.

P. Yap, J. Lian, Dong Nie, 2021, Computers in biology and medicine.

STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation

Li Wang, Yaozong Gao, Dinggang Shen, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Medical Image Synthesis with Deep Convolutional Adversarial Networks

Dinggang Shen, Su Ruan, Qian Wang, 2018, IEEE Transactions on Biomedical Engineering.

Modeling the dosimetry of organ-at-risk in head and neck IMRT planning: an intertechnique and interinstitutional study.

Yaorong Ge, Jun Lian, Bhishamjit S. Chera, 2013, Medical physics.

Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy

J. Lian, C. Lian, Fan Wang, 2022, IEEE Transactions on Medical Imaging.

High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation

Dinggang Shen, Jianping Yin, Ehsan Adeli, 2020, IEEE Transactions on Image Processing.

Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image

Shuai Wang, Chunfeng Lian, Dinggang Shen, 2020, MICCAI.

Estimating the 4D respiratory lung motion by spatiotemporal registration and super-resolution image reconstruction.

Dinggang Shen, Qian Wang, Guorong Wu, 2013, Medical physics.

Hierarchical Patch-Based Sparse Representation—A New Approach for Resolution Enhancement of 4D-CT Lung Data

Dinggang Shen, Yu Zhang, Qianjin Feng, 2012, IEEE Transactions on Medical Imaging.

Integrating deformable MRI/MRSI and CT image registration into the prostate IMRT treatment planning

B. Daniel, C. Dumoulin, K. Rohling, 2003 .

Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images

Shu Liao, Yaozong Gao, Dinggang Shen, 2013, IEEE Transactions on Medical Imaging.

CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation

Shuai Wang, Qian Wang, Dong Nie, 2020, IEEE Transactions on Medical Imaging.

Classification of Prostate Cancer Grades and T-Stages Based on Tissue Elasticity Using Medical Image Analysis

Hongtu Zhu, Ming C. Lin, Shan Yang, 2016, MICCAI.

Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy

Mingxia Liu, Dinggang Shen, Shuai Wang, 2020, IEEE Transactions on Medical Imaging.

3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation

Thomas J. Re, D. Kondziolka, D. Comaniciu, 2023, Medical Imaging.

Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation

Dinggang Shen, Yu Zhang, Qianjin Feng, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Hierarchical Patch-based Sparse Representation—a New Approach for Resolution Enhancement of 4d-ct Lung Data

D. Shen, P. Yap, Guorong Wu, 2022 .

Resolution enhancement of lung 4D-CT via group-sparsity.

Dinggang Shen, Guorong Wu, Jun Lian, 2013, Medical physics.

Machine learning and statistical prediction of patient quality-of-life after prostate radiation therapy

Blerta Shtylla, Jun Lian, Ronald C. Chen, 2020, Comput. Biol. Medicine.

Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests

Yaozong Gao, Dinggang Shen, Yeqin Shao, 2016, IEEE Transactions on Medical Imaging.

Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images pdf

Pew-Thian Yap, Jun Lian, Shuai Wang, 2021, ArXiv.

Reconstructing Tissue Properties From Medical Images With Application in Cancer Screening

Ming C. Lin, Vladimir Jojic, Jun Lian, 2019, IEEE Transactions on Medical Robotics and Bionics.

Therapeutic treatment plan optimization with probability density-based dose prescription.

Lei Xing, Jun Lian, C. Cotrutz, 2003, Medical physics.

Modeling the dosimetry of organ-at-risk in head and neck IMRT planning: an intertechnique and interinstitutional study.

Sha X. Chang, Y. Ge, J. Lian, 2013, Medical physics.

MO-FG-BRA-07: Intrafractional Motion Effect Can Be Minimized in Tomotherapy Stereotactic Body Radiotherapy (SBRT).

J. Lian, E. Chao, S. Chang, 2016, Medical physics.

A machine learning approach to using Quality-of-Life patient scores in guiding prostate radiation therapy dosing

Blerta Shtylla, Tom Chou, Ronald C. Chen, 2020, 2005.10951.

Improving image-guided radiation therapy of lung cancer by reconstructing 4D-CT from a single free-breathing 3D-CT on the treatment day.

D. Shen, Guorong Wu, J. Lian, 2012, Medical physics.

1018 : How Much Does Patient Repositioning Using On-Treatment-Table CT Imaging Improve Prostate Cancer Treatment Outcome?

S. Joshi, M. Foskey, D. Fried, 2006 .