Yongsheng Pan

According to our database, Yongsheng Pan authored at least 65 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

TriLA: Triple-Level Alignment Based Unsupervised Domain Adaptation for Joint Segmentation of Optic Disc and Optic Cup.

Ziyang Chen, Yongsheng Pan, Yiwen Ye, Zhiyong Wang, Yong Xia

IEEE J. Biomed. Health Informatics, September, 2024

Structure-Aware Registration Network for Liver DCE-CT Images.

Peng Xue, Jingyang Zhang, Lei Ma, Mianxin Liu, Yuning Gu, Jiawei Huang, Feihong Liu, Yongsheng Pan, Xiaohuan Cao, Dinggang Shen

IEEE J. Biomed. Health Informatics, April, 2024

Real-time diagnosis of intracerebral hemorrhage by generating dual-energy CT from single-energy CT.

Caiwen Jiang, Tianyu Wang, Yongsheng Pan, Zhongxiang Ding, Dinggang Shen

Medical Image Anal., 2024

Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation.

Ziyang Chen, Yiwen Ye, Yongsheng Pan, Yong Xia

CoRR, 2024

Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation.

Ziyang Chen, Yiwen Ye, Yongsheng Pan, Yong Xia

CoRR, 2024

MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer.

Geng Chen, Junqing Yang, Xiaozhou Pu, Ge-Peng Ji, Huan Xiong, Yongsheng Pan, Hengfei Cui, Yong Xia

CoRR, 2024

A Prior-information-guided Residual Diffusion Model for Multi-modal PET Synthesis from MRI.

Zaixin Ou, Caiwen Jiang, Yongsheng Pan, Yuanwang Zhang, Zhiming Cui, Dinggang Shen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Synthesizing Aβ-Pet Via An Image And Label Conditioning Latent Diffusion Model For Detecting Amyloid Status.

Zaixin Ou, Yongsheng Pan, Yuanning Li, Fang Xie, Qihao Guo, Dinggang Shen

Proceedings of the IEEE International Conference on Acoustics, 2024

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation.

Ziyang Chen, Yongsheng Pan, Yiwen Ye, Mengkang Lu, Yong Xia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Disentangle First, Then Distill: A Unified Framework for Missing Modality Imputation and Alzheimer's Disease Diagnosis.

Yuanyuan Chen, Yongsheng Pan, Yong Xia, Yixuan Yuan

IEEE Trans. Medical Imaging, December, 2023

Dynamic feature splicing for few-shot rare disease diagnosis.

Yuanyuan Chen, Xiaoqing Guo, Yongsheng Pan, Yong Xia, Yixuan Yuan

Medical Image Anal., December, 2023

Semi-Supervised Standard-Dose PET Image Generation via Region-Adaptive Normalization and Structural Consistency Constraint.

Caiwen Jiang, Yongsheng Pan, Zhiming Cui, Dong Nie, Dinggang Shen

IEEE Trans. Medical Imaging, October, 2023

Reconstruction-Driven Dynamic Refinement Based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation.

Ziyang Chen, Yongsheng Pan, Yong Xia

IEEE J. Biomed. Health Informatics, July, 2023

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation.

Ziyang Chen, Yiwen Ye, Mengkang Lu, Yongsheng Pan, Yong Xia

CoRR, 2023

Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion.

Nan Zhao, Yongsheng Pan, Kaicong Sun, Yuning Gu, Mianxin Liu, Zhong Xue, Han Zhang, Qing Yang, Fei Gao, Feng Shi, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks.

Feihong Liu, Yongsheng Pan, Junwei Yang, Fang Xie, Xiaowei He, Han Zhang, Feng Shi, Jun Feng, Qihao Guo, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction.

Yongsheng Pan, Feihong Liu, Caiwen Jiang, Jiawei Huang, Yong Xia, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model.

Caiwen Jiang, Yongsheng Pan, Mianxin Liu, Lei Ma, Xiao Zhang, Jiameng Liu, Xiaosong Xiong, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Treasure in Distribution: A Domain Randomization Based Multi-source Domain Generalization for 2D Medical Image Segmentation.

Ziyang Chen, Yongsheng Pan, Yiwen Ye, Hengfei Cui, Yong Xia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

TriDoRNet: Reconstruction of Standard-Dose Pet from Low-Dose Pet in Triple (Projection, Image, and Frequency) Domains.

Caiwen Jiang, Yongsheng Pan, Dinggang Shen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

S2DGAN: Generating Dual-energy CT from Single-energy CT for Real-time Determination of Intracerebral Hemorrhage.

Caiwen Jiang, Yongsheng Pan, Tianyu Wang, Qing Chen, Junwei Yang, Li Ding, Jiameng Liu, Zhongxiang Ding, Dinggang Shen

Proceedings of the Information Processing in Medical Imaging, 2023

2022

Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images.

Chunfeng Lian, Mingxia Liu, Yongsheng Pan, Dinggang Shen

IEEE Trans. Cybern., 2022

Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data.

Yongsheng Pan, Ming-Xia Liu, Yong Xia, Dinggang Shen

IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion.

Xiangxi Meng, Yuning Gu, Yongsheng Pan, Nizhuan Wang, Peng Xue, Mengkang Lu, Xuming He, Yiqiang Zhan, Dinggang Shen

CoRR, 2022

Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites.

Jingyang Zhang, Peng Xue, Ran Gu, Yuning Gu, Mianxin Liu, Yongsheng Pan, Zhiming Cui, Jiawei Huang, Lei Ma, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month Infants.

Xin Tang, Jiadong Zhang, Yongsheng Pan, Yuyao Zhang, Feng Shi

Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

Deep-Learning Based T₁ and T₂ Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals.

Yuning Gu, Yongsheng Pan, Zhenghan Fang, Jingyang Zhang, Peng Xue, Mianxin Liu, Yuran Zhu, Lei Ma, Charlie Androjna, Xin Yu, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images.

Yu Fang, Zhiming Cui, Lei Ma, Lanzhuju Mei, Bojun Zhang, Yue Zhao, Zhihao Jiang, Yiqiang Zhan, Yongsheng Pan, Min Zhu, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Reconstruction of Standard-Dose Pet From Low-Dose Pet Via Dual-Frequency Supervision and Global Aggregation Module.

Caiwen Jiang, Yongsheng Pan, Zhiming Cui, Dinggang Shen

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images.

Yan Hu, Yongsheng Pan, Yang Song, Erik Meijering, Zhiming Cui, Yue Zhao, Zhongxiang Ding, Min Zhu, Dinggang Shen

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks.

Jie Wei, Feng Shi, Zhiming Cui, Yongsheng Pan, Yong Xia, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation.

Jie Wei, Yongsheng Pan, Yong Xia, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading.

Zelin Qiu, Yongsheng Pan, Jie Wei, Dijia Wu, Yong Xia, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Cerebral Blood Volume Prediction Based on Multi-modality Magnetic Resonance Imaging.

Yongsheng Pan, Jingyu Huang, Bao Wang, Peng Zhao, Yingchao Liu, Yong Xia

Proceedings of the Simulation and Synthesis in Medical Imaging, 2021

Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages.

Yongsheng Pan, Yuanyuan Chen, Dinggang Shen, Yong Xia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

CDLRS: Collaborative Deep Learning Model with Joint Regression and Segmentation for Automatic Fovea Localization.

Ziyang Chen, Yongsheng Pan, Yong Xia

Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

Ultimate Reconstruction: Understand Your Bones From Orthogonal Views.

Yongsheng Pan, Yong Xia

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images.

Mengkang Lu, Yongsheng Pan, Dong Nie, Feihong Liu, Feng Shi, Yong Xia, Dinggang Shen

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020

Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages.

Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen

IEEE Trans. Medical Imaging, 2020

LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI.

Zhenyuan Ning, Yu Zhang, Yongsheng Pan, Tao Zhong, Mingxia Liu, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline.

Yunbi Liu, Yongsheng Pan, Wei Yang, Zhenyuan Ning, Ling Yue, Mingxia Liu, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Foreground Fisher Vector: Encoding Class-Relevant Foreground to Improve Image Classification.

Yongsheng Pan, Yong Xia, Dinggang Shen

IEEE Trans. Image Process., 2019

Low-Profile Low-Cost Ultra-Wideband Circularly Polarized Slot Antennas.

Yongsheng Pan, Yuandan Dong

IEEE Access, 2019

Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI.

Jing Zhang, Mingxia Liu, Yongsheng Pan, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages.

Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis.

Yongsheng Pan, Mingxia Liu, Li Wang, Yong Xia, Dinggang Shen

Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

2018

Locality constrained encoding of frequency and spatial information for image classification.

Yongsheng Pan, Yong Xia, Yang Song, Weidong Cai

Multim. Tools Appl., 2018

Residual Network based Aggregation Model for Skin Lesion Classification.

Yongsheng Pan, Yong Xia

CoRR, 2018

Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis.

Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Cell image segmentation using bacterial foraging optimization.

Yongsheng Pan, Yong Xia, Tao Zhou, Michael J. Fulham

Appl. Soft Comput., 2017

Application and Implementation of Batch File Transfer in Redis Storage.

Hu Meng, Yongsheng Pan, Lang Sun

Proceedings of the Intelligence Science I, 2017

2016

Automated identification of dementia using medical imaging: a survey from a pattern classification perspective.

Chuanchuan Zheng, Yong Xia, Yongsheng Pan, Jinhu Chen

Brain Informatics, 2016

2015

Bacterial foraging based edge detection for cell image segmentation.

Yongsheng Pan, Tao Zhou, Yong Xi

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2011

A Fast Iterative Method for Solving the Eikonal Equation on Triangulated Surfaces.

Zhisong Fu, Won-Ki Jeong, Yongsheng Pan, Robert M. Kirby, Ross T. Whitaker

SIAM J. Sci. Comput., 2011

Markov surfaces: A probabilistic framework for user-assisted three-dimensional image segmentation.

Yongsheng Pan, Won-Ki Jeong, Ross T. Whitaker

Comput. Vis. Image Underst., 2011

2009

Preferential Image Segmentation Using Trees of Shapes.

Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djouadi

IEEE Trans. Image Process., 2009

Top-down image segmentation using the Mumford-Shah functional and level set image representation.

Yongsheng Pan

Proceedings of the IEEE International Conference on Acoustics, 2009

2007

A sensitivity analysis of initial conditions for the Mumford-Shah based level set method of image segmentation (student paper).

Bruce Johnson, Yongsheng Pan

Proceedings of the 45th Annual Southeast Regional Conference, 2007

2006

Efficient Implementation of the Chan-Vese Models Without Solving PDEs.

Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djouadi

Proceedings of the IEEE 8th Workshop on Multimedia Signal Processing, 2006

An Efficient Bottom-Up Image Segmentation Method Based on Region Growing, Region Competition and the Mumford Shah Functional.

Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djouadi

Proceedings of the IEEE 8th Workshop on Multimedia Signal Processing, 2006

Efficient Bottom-Up Image Segmentation Using Region Competition and the Mumford-Shah Model for Color and Textured Images.

Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djouadi

Proceedings of the Eigth IEEE International Symposium on Multimedia (ISM 2006), 2006

Bottom-Up Hierarchical Image Segmentation Using Region Competition and the Mumford-Shah Functional.

Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djouadi

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005

Image Segmentation Using Curve Evolution and Anisotropic Diffusion: An Integrated Approach.

Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djouadi

Proceedings of the Seventh IEEE International Symposium on Multimedia (ISM 2005), 2005

A New Gradient and Region Based Geometric Snake.

Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djouadi

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Probabilistic Curve Evolution Using Particle Filters.

Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djouadi

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005