Probabilistic Curve Evolution Using Particle Filters. - Yongsheng Pan; J. Douglas Birdwell; Seddik M. Djouadi (CDC/ECC, 2005)

A New Gradient and Region Based Geometric Snake. - Yongsheng Pan; J. Douglas Birdwell; Seddik M. Djouadi (ICASSP (2), 2005)

Image Segmentation Using Curve Evolution and Anisotropic Diffusion: An Integrated Approach. - Yongsheng Pan; J. Douglas Birdwell; Seddik M. Djouadi (ISM, 2005)

Bottom-Up Hierarchical Image Segmentation Using Region Competition and the Mumford-Shah Functional. - Yongsheng Pan; J. Douglas Birdwell; Seddik M. Djouadi (ICPR (2), 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 (ISM, 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 (MMSP, 2006)

Efficient Implementation of the Chan-Vese Models Without Solving PDEs. - Yongsheng Pan; J. Douglas Birdwell; Seddik M. Djouadi (MMSP, 2006)

A sensitivity analysis of initial conditions for the Mumford-Shah based level set method of image segmentation (student paper). - Bruce Johnson 001; Yongsheng Pan (ACM Southeast Regional Conference, 2007)

Top-down image segmentation using the Mumford-Shah functional and level set image representation. - Yongsheng Pan (ICASSP, 2009)

Preferential Image Segmentation Using Trees of Shapes. - Yongsheng Pan; J. Douglas Birdwell; Seddik M. Djouadi (IEEE Trans. Image Process., 2009)

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)

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)

Bacterial foraging based edge detection for cell image segmentation. - Yongsheng Pan; Tao Zhou 009; Yong Xi (EMBC, 2015)

Automated identification of dementia using medical imaging: a survey from a pattern classification perspective. - Chuanchuan Zheng; Yong Xia 001; Yongsheng Pan; Jinhu Chen (Brain Informatics, 2016)

Application and Implementation of Batch File Transfer in Redis Storage. - Hu Meng; Yongsheng Pan; Lang Sun (ICIS, 2017)

Cell image segmentation using bacterial foraging optimization. - Yongsheng Pan; Yong Xia 001; Tao Zhou 009; Michael J. Fulham (Appl. Soft Comput., 2017)

Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis. - Yongsheng Pan; Mingxia Liu 001; Chunfeng Lian; Tao Zhou 002; Yong Xia 001; Dinggang Shen (MICCAI (3), 2018)

Residual Network based Aggregation Model for Skin Lesion Classification. - Yongsheng Pan; Yong Xia 001 (CoRR, 2018)

Locality constrained encoding of frequency and spatial information for image classification. - Yongsheng Pan; Yong Xia 001; Yang Song 001; Weidong Cai 001 (Multim. Tools Appl., 2018)

Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis. - Yongsheng Pan; Mingxia Liu 001; Li Wang 026; Yong Xia 001; Dinggang Shen (GLMI@MICCAI, 2019)

Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages. - Yongsheng Pan; Mingxia Liu 001; Chunfeng Lian; Yong Xia 001; Dinggang Shen (MICCAI (3), 2019)

Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI. - Jing Zhang 010; Mingxia Liu 001; Yongsheng Pan; Dinggang Shen (MLMI@MICCAI, 2019)

Low-Profile Low-Cost Ultra-Wideband Circularly Polarized Slot Antennas. - Yongsheng Pan; Yuandan Dong (IEEE Access, 2019)

Foreground Fisher Vector: Encoding Class-Relevant Foreground to Improve Image Classification. - Yongsheng Pan; Yong Xia 001; Dinggang Shen (IEEE Trans. Image Process., 2019)

Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline. - Yunbi Liu; Yongsheng Pan; Wei Yang 006; Zhenyuan Ning; Ling Yue; Mingxia Liu 001; Dinggang Shen (MICCAI (7), 2020)

LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI. - Zhenyuan Ning; Yu Zhang 064; Yongsheng Pan; Tao Zhong 002; Mingxia Liu 001; Dinggang Shen (MLMI@MICCAI, 2020)

Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages. - Yongsheng Pan; Mingxia Liu 001; Chunfeng Lian; Yong Xia 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

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 001; Yong Xia 001; Dinggang Shen (COMPAY@MICCAI, 2021)

Ultimate Reconstruction: Understand Your Bones From Orthogonal Views. - Yongsheng Pan; Yong Xia 001 (ISBI, 2021)

CDLRS: Collaborative Deep Learning Model with Joint Regression and Segmentation for Automatic Fovea Localization. - Ziyang Chen 003; Yongsheng Pan; Yong Xia 001 (OMIA@MICCAI, 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 001 (MICCAI (5), 2021)

Cerebral Blood Volume Prediction Based on Multi-modality Magnetic Resonance Imaging. - Yongsheng Pan; Jingyu Huang; Bao Wang; Peng Zhao; Yingchao Liu; Yong Xia 001 (SASHIMI@MICCAI, 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 001; Dinggang Shen (MICCAI (5), 2021)

Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation. - Jie Wei; Yongsheng Pan; Yong Xia 001; Dinggang Shen (MLMI@MICCAI, 2021)

Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks. - Jie Wei; Feng Shi 001; Zhiming Cui; Yongsheng Pan; Yong Xia 001; Dinggang Shen (MICCAI (1), 2021)

Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images. - Yan Hu; Yongsheng Pan; Yang Song 001; Erik Meijering; Zhiming Cui; Yue Zhao 012; Zhongxiang Ding; Min Zhu; Dinggang Shen (ISBI, 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 (ISBI, 2022)

Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images. - Yu Fang; Zhiming Cui; Lei Ma 006; Lanzhuju Mei; Bojun Zhang; Yue Zhao 012; Zhihao Jiang; Yiqiang Zhan; Yongsheng Pan; Min Zhu; Dinggang Shen (MICCAI (5), 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 006; Charlie Androjna; Xin Yu; Dinggang Shen (MICCAI (6), 2022)

CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month Infants. - Xin Tang; Jiadong Zhang; Yongsheng Pan; Yuyao Zhang; Feng Shi 001 (DALI@MICCAI, 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 006; Dinggang Shen (MICCAI (5), 2022)

A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion. - Xiangxi Meng; Yuning Gu; Yongsheng Pan; Nizhuan Wang 001; Peng Xue; Mengkang Lu; Xuming He 001; Yiqiang Zhan; Dinggang Shen (CoRR, 2022)

Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data. - Yongsheng Pan; Ming-Xia Liu 001; Yong Xia 001; Dinggang Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images. - Chunfeng Lian; Mingxia Liu 001; Yongsheng Pan; Dinggang Shen (IEEE Trans. Cybern., 2022)

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 (IPMI, 2023)

TriDoRNet: Reconstruction of Standard-Dose Pet from Low-Dose Pet in Triple (Projection, Image, and Frequency) Domains. - Caiwen Jiang; Yongsheng Pan; Dinggang Shen (ISBI, 2023)

Treasure in Distribution: A Domain Randomization Based Multi-source Domain Generalization for 2D Medical Image Segmentation. - Ziyang Chen 003; Yongsheng Pan; Yiwen Ye; Hengfei Cui; Yong Xia 001 (MICCAI (4), 2023)

PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion Model. - Caiwen Jiang; Yongsheng Pan; Mianxin Liu; Lei Ma 006; Xiao Zhang 028; Jiameng Liu; Xiaosong Xiong; Dinggang Shen (MICCAI (1), 2023)

Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction. - Yongsheng Pan; Feihong Liu; Caiwen Jiang; Jiawei Huang; Yong Xia 001; Dinggang Shen (MICCAI (10), 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 002; Feng Shi 001; Jun Feng 003; Qihao Guo; Dinggang Shen (MLMI@MICCAI (2), 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 002; Qing Yang; Fei Gao 010; Feng Shi 001; Dinggang Shen (MLMI@MICCAI (2), 2023)

Reconstruction-Driven Dynamic Refinement Based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation. - Ziyang Chen 003; Yongsheng Pan; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 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, 2023)

Dynamic feature splicing for few-shot rare disease diagnosis. - Yuanyuan Chen; Xiaoqing Guo; Yongsheng Pan; Yong Xia 001; Yixuan Yuan (Medical Image Anal., 2023)

Disentangle First, Then Distill: A Unified Framework for Missing Modality Imputation and Alzheimer's Disease Diagnosis. - Yuanyuan Chen; Yongsheng Pan; Yong Xia 001; Yixuan Yuan (IEEE Trans. Medical Imaging, 2023)

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation. - Ziyang Chen 003; Yongsheng Pan; Yiwen Ye; Mengkang Lu; Yong Xia 001 (CVPR, 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 (ICASSP, 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 (IJCAI, 2024)

Rethinking nnU-Net for Cross-Modality Unsupervised Domain Adaptation in Abdominal Organ Segmentation. - Ziyang Chen 003; Xiaoyu Bai; Zhisong Wang; Yiwen Ye; Yongsheng Pan; Yong Xia 001 (FLARE@MICCAI, 2024)

MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer. - Geng Chen 001; Junqing Yang; Xiaozhou Pu; Ge-Peng Ji; Huan Xiong; Yongsheng Pan; Hengfei Cui; Yong Xia 001 (CoRR, 2024)

Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation. - Ziyang Chen 003; Yiwen Ye; Yongsheng Pan; Yong Xia 001 (CoRR, 2024)

Meta Curvature-Aware Minimization for Domain Generalization. - Ziyang Chen 003; Yiwen Ye; Feilong Tang; Yongsheng Pan; Yong Xia 001 (CoRR, 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)

Structure-Aware Registration Network for Liver DCE-CT Images. - Peng Xue; Jingyang Zhang; Lei Ma 006; Mianxin Liu; Yuning Gu; Jiawei Huang; Feihong Liu; Yongsheng Pan; Xiaohuan Cao; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2024)

TriLA: Triple-Level Alignment Based Unsupervised Domain Adaptation for Joint Segmentation of Optic Disc and Optic Cup. - Ziyang Chen 003; Yongsheng Pan; Yiwen Ye; Zhiyong Wang 001; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2024)

Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation. - Ziyang Chen 003; Yiwen Ye; Yongsheng Pan; Yong Xia 001 (AAAI, 2025)

Image-and-Label Conditioning Latent Diffusion Model: Synthesizing A$ beta$-PET From MRI for Detecting Amyloid Status. - Zaixin Ou; Yongsheng Pan; Fang Xie; Qihao Guo; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2025)

Draw Sketch, Draw Flesh: Whole-Body Computed Tomography from Any X-Ray Views. - Yongsheng Pan; Yiwen Ye; Yanning Zhang 001; Yong Xia 001; Dinggang Shen (Int. J. Comput. Vis., 2025)

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network. - Xinke Ma; Yongsheng Pan; Qingjie Zeng; Mengkang Lu; Bolysbek Murat Yerzhanuly; Bazargul Matkerim; Yong Xia 001 (CoRR, 2025)

SRM-Net: Joint Sampling and Reconstruction and Mapping Network for Accelerated 3T Brain Multi-Parametric MR Imaging. - Yuxuan Liu; Kaicong Sun; Haikun Qi; Junwei Yang; Xiaopeng Zong; Yongsheng Pan; Yuning Gu; Sifan He; Han Zhang 002; Yu Zhang 009; Dinggang Shen (IEEE Trans. Biomed. Eng., 2025)