Yong Xia

390 papers A* 14A 3B 9C 3Misc 5Journal 245Unranked 111
YearRankTypeTitle / Venue / Authors
2026 J jnl
Aggregate twice more efficiently: Dual feature aggregation transformer for medical image segmentation.
Inf. Fusion
Jiaxin Li, Hengfei Cui, Yanning Zhang, Yong Xia
2026 J jnl
Decoupling Target Semantics via Text-Anchored Visual Contrast for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Image Process.
Qingjie Zeng, Huan Luo, Xinke Ma, Zilin Lu, Yang Hu, Mengkang Lu, Yanning Zhang, Yong Xia
2026 J jnl
From Few to More: Scribble-Based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels.
IEEE J. Biomed. Health Informatics
Zhisong Wang, Yiwen Ye, Ziyang Chen, Minglei Shu, Yanning Zhang, Yong Xia
2026 J jnl
Harnessing Text Insights With Visual Alignment for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Qingjie Zeng, Huan Luo, Zilin Lu, Yutong Xie, Zhiyong Wang, Yanning Zhang, Yong Xia
2026 J jnl
HoGS: Homophily-Oriented Graph Synthesis for Local Differentially Private GNN Training.
CoRR
Wen Xu, Zhetao Li, Yong Xia, Pengpeng Qiao, Mianxiong Dong, Kaoru Ota
2026 J jnl
Improving multiple instance contrastive learning via sparse transformer for whole slide image classification.
Biomed. Signal Process. Control.
Zhaoyang Liu, Mengkang Lu, Yong Xia, Wei Liu, Minglei Shu
2026 J jnl
MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention.
IEEE Trans. Medical Imaging
Tianyi Wang, Jianan Fan, Dingxin Zhang, Dongnan Liu, Yong Xia, Heng Huang, Weidong Cai
2026 J jnl
MRFMA: A hybrid paradigm integrating multi-receptive field network with mediator attention for 3D multi-organ segmentation.
Expert Syst. Appl.
Hengfei Cui, Jiatong Li, Dianrong Du, Yanning Zhang, Yong Xia
2026 J jnl
On the Rate-Distortion-Complexity Tradeoff for Semantic Communication.
CoRR
Jingxuan Chai, Yong Xia, Guangming Shi
2026 J jnl
PAINT: Pathology-Aware Integrated Next-Scale Transformation for Virtual Immunohistochemistry.
CoRR
Rongze Ma, Mengkang Lu, Zhenyu Xiang, Yongsheng Pan, Yicheng Wu, Qingjie Zeng, Yong Xia
2026 J jnl
Precise estimation of tissue microstructure with hybrid graph transformer.
Artif. Intell. Medicine
Haotian Jiang, Geng Chen, Jiquan Ma, Hui Cui, Shu Zhang, Yong Xia, Pew-Thian Yap
2026 J jnl
SegRap2025: A Benchmark of Gross Tumor Volume and Lymph Node Clinical Target Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
CoRR
Jia Fu, Litingyu Wang, He Li, Zihao Luo, Huamin Wang, Chenyuan Bian, Zijun Gao, Chunbin Gu, Xin Weng, Jianghao Wu, Yicheng Wu, Jin Ye, Linhao Li, Yiwen Ye, Yong Xia, Elias Tappeiner, Fei He, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Junqiang Chen, Chuanyi Huang, Lisheng Wang, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Shichuan Zhang, Shaoting Zhang, Wenjun Liao, Guotai Wang
2026 J jnl
Source-free domain adaptation using prompt learning for medical image segmentation.
Pattern Recognit.
Shishuai Hu, Zehui Liao, Yong Xia
2026 J jnl
Unsupervised domain adaptation for cardiac MRI segmentation via adversarial learning in latent space.
Pattern Recognit.
Fan Zheng, Hengfei Cui, Yanning Zhang, Yong Xia
2026 J jnl
V-Loop: Visual Logical Loop Verification for Hallucination Detection in Medical Visual Question Answering.
CoRR
Mengyuan Jin, Zehui Liao, Yong Xia
2025 J jnl
ATEC23 Challenge: Automated prediction of treatment effectiveness in ovarian cancer using histopathological images.
Medical Image Anal.
Ching-Wei Wang, Nabila Puspita Firdi, Tzu-Chiao Chu, Mohammad Faiz Iqbal Faiz, Mohammad Zafar Iqbal, Yifan Li, Bo Yang, Mayur Mallya, Ali Bashashati, Fei Li, Haipeng Wang, Mengkang Lu, Yong Xia, Tai-Kuang Chao
2025 J jnl
Active Learning Based on Temporal Difference of Gradient Flow in Thoracic Disease Diagnosis.
IEEE J. Biomed. Health Informatics
Jiayi Chen, Benteng Ma, Hengfei Cui, Jingfeng Zhang, Yong Xia
2025 J jnl
Advances in attention mechanisms for medical image segmentation.
Comput. Sci. Rev.
Jianpeng Zhang, Xiaomin Chen, Bing Yang, Qingbiao Guan, Qi Chen, Jian Chen, Qi Wu, Yutong Xie, Yong Xia
2025 J jnl
Bridging the Semantic Gap in Medical Visual Question Answering With Prompt Learning.
IEEE Trans. Medical Imaging
Zilin Lu, Qingjie Zeng, Mengkang Lu, Geng Chen, Yong Xia
2025 J jnl
CADS: A Self-Supervised Learner via Cross-Modal Alignment and Deep Self-Distillation for CT Volume Segmentation.
IEEE Trans. Medical Imaging
Yiwen Ye, Jianpeng Zhang, Ziyang Chen, Yong Xia
2025 — conf
CAUDA-MI: Cross Attention-Guided Unsupervised Domain Adaptation with Mutual Information for Cardiac MRI Segmentation.
MICCAI (6)
Dianrong Du, Hengfei Cui, Jiatong Li, Fan Zheng, Yong Xia
2025 J jnl
Consistency-Guided Differential Decoding for Enhancing Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging
Qingjie Zeng, Yutong Xie, Zilin Lu, Mengkang Lu, Jingfeng Zhang, Yong Xia
2025 J jnl
Contrastive Neuron Pruning for Backdoor Defense.
IEEE Trans. Image Process.
Yu Feng, Benteng Ma, Dongnan Liu, Yanning Zhang, Tom Weidong Cai, Yong Xia
2025 — conf
Cycle Context Verification for In-Context Medical Image Segmentation.
MICCAI (1)
Shishuai Hu, Zehui Liao, Liangli Zhen, Huazhu Fu, Yong Xia
2025 J jnl
Cycle Context Verification for In-Context Medical Image Segmentation.
CoRR
Shishuai Hu, Zehui Liao, Liangli Zhen, Huazhu Fu, Yong Xia
2025 J jnl
Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network.
CoRR
Xinke Ma, Yongsheng Pan, Qingjie Zeng, Mengkang Lu, Bolysbek Murat Yerzhanuly, Bazargul Matkerim, Yong Xia
2025 J jnl
Draw Sketch, Draw Flesh: Whole-Body Computed Tomography from Any X-Ray Views.
Int. J. Comput. Vis.
Yongsheng Pan, Yiwen Ye, Yanning Zhang, Yong Xia, Dinggang Shen
2025 J jnl
EM-Trans: Edge-Aware Multimodal Transformer for RGB-D Salient Object Detection.
IEEE Trans. Neural Networks Learn. Syst.
Geng Chen, Qingyue Wang, Bo Dong, Ruitao Ma, Nian Liu, Huazhu Fu, Yong Xia
2025 — conf
Enjoying Information Dividend: Gaze Track-Based Medical Weakly Supervised Segmentation.
MICCAI (10)
Zhisong Wang, Yiwen Ye, Ziyang Chen, Yong Xia
2025 J jnl
Enjoying Information Dividend: Gaze Track-based Medical Weakly Supervised Segmentation.
CoRR
Zhisong Wang, Yiwen Ye, Ziyang Chen, Yong Xia
2025 — conf
Exploring Text-Enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data.
MICCAI (6)
Qingjie Zeng, Huan Luo, Xinke Ma, Zilin Lu, Yang Hu, Yong Xia
2025 J jnl
FedDAG: Federated Domain Adversarial Generation Toward Generalizable Medical Image Analysis.
IEEE Trans. Medical Imaging
Haoxuan Che, Yifei Wu, Haibo Jin, Yong Xia, Hao Chen
2025 J jnl
FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis.
CoRR
Haoxuan Che, Yifei Wu, Haibo Jin, Yong Xia, Hao Chen
2025 A* conf
Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation.
AAAI
Ziyang Chen, Yiwen Ye, Yongsheng Pan, Yong Xia
2025 — conf
Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation.
MICCAI (10)
Yueyue Zhu, Haolin Lv, Geng Chen, Zhonghao Zhang, Haotian Jiang, Yong Xia
2025 J jnl
Hyperbolic Geometry-Driven Robustness Enhancement for Rare Skin Disease Diagnosis.
IEEE J. Biomed. Health Informatics
Yang Hu, Yuanyuan Chen, Xiaohan Xing, Jingfeng Zhang, Bolysbek Murat Yerzhanuly, Bazargul Matkerim, Yong Xia
2025 J jnl
Implicit Semantic Communication Based on Bayesian Reconstruction Framework.
CoRR
Yiwei Liao, Shurui Tu, Yujie Zhou, Dongzi Jin, Yong Xia, Yingyu Li
2025 J jnl
Instance-dependent Label Distribution Estimation for Learning with Label Noise.
Int. J. Comput. Vis.
Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia
2025 J jnl
MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention.
CoRR
Tianyi Wang, Jianan Fan, Dingxin Zhang, Dongnan Liu, Yong Xia, Heng Huang, Tom Weidong Cai
2025 J jnl
MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation.
CoRR
Yiwen Ye, Yicheng Wu, Xiangde Luo, He Zhang, Ziyang Chen, Ting Dang, Yanning Zhang, Yong Xia
2025 J jnl
Mixture-attention Siamese transformer for video polyp segmentation.
Artif. Intell. Medicine
Geng Chen, Junqing Yang, Xiaozhou Pu, Ge-Peng Ji, Huan Xiong, Yongsheng Pan, Hengfei Cui, Yong Xia
2025 B conf
Optimal Grid-Battery Power Allocation for Time-Energy-Sensitive Wireless Systems.
GLOBECOM
Tianzi Li, Yong Xia, Yingyu Li
2025 J jnl
P2TC: A Lightweight Pyramid Pooling Transformer-CNN Network for Accurate 3D Whole Heart Segmentation.
IEEE J. Biomed. Health Informatics
Hengfei Cui, Yifan Wang, Fan Zheng, Yan Li, Yanning Zhang, Yong Xia
2025 J jnl
PICK: Predict and Mask for Semi-supervised Medical Image Segmentation.
Int. J. Comput. Vis.
Qingjie Zeng, Zilin Lu, Yutong Xie, Yong Xia
2025 J jnl
PathBot: A Foundation Model for Pathological Image Analysis.
IEEE J. Biomed. Health Informatics
Mengkang Lu, Tianyi Wang, Qingjie Zeng, Zilin Lu, Zhe Li, Yong Xia
2025 — conf
Personalized Federated Side-Tuning for Medical Image Classification.
MICCAI (14)
Jiayi Chen, Benteng Ma, Yongsheng Pan, Bin Pu, Hengfei Cui, Yong Xia
2025 — conf
RadioFormer: Integrating Radiologist Inductive Bias for Tumor Classification on Multi-Sequence MR Images.
MICCAI (1)
Xiaoyu Bai, Yong Xia
2025 J jnl
Robust Federated Learning against Model Perturbation in Edge Networks.
CoRR
Dongzi Jin, Yong Xia, Yingyu Li
2025 J jnl
SANet: A Semantic-aware Agentic AI Networking Framework for Cross-layer Optimization in 6G.
CoRR
Yong Xia, Xubo Li, Haoran Zhou, Yingyu Li, Yayu Gao, Guangming Shi, Ping Zhang, Marwan Krunz
2025 — conf
SMF-Net: Unlocking Multimodal Insights for Enhanced Stroke Lesion Segmentation.
MICCAI (3)
Meklit Mesfin Atlaw, Geng Chen, Haotian Jiang, Xuyun Wen, Hengfei Cui, Yong Xia
2025 J jnl
SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
Medical Image Anal.
Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang
2025 J jnl
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging
Qingjie Zeng, Yutong Xie, Zilin Lu, Mengkang Lu, Yicheng Wu, Yong Xia
2025 J jnl
Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness.
CoRR
Yu Feng, Dingxin Zhang, Runkai Zhao, Yong Xia, Heng Huang, Tom Weidong Cai
2025 J jnl
Toward Robust Medical Fairness: Debiased Dual-Modal Alignment via Text-Guided Attribute-Disentangled Prompt Learning for Vision-Language Models.
CoRR
Yuexuan Xia, Benteng Ma, Jiang He, Zhiyong Wang, Qi Dou, Yong Xia
2025 — conf
Towards Accurate Left Atrium and Scar Segmentation from LGE MRI with Boundary Loss Constrained Multi-Attention U-Net.
PRCV (14)
Fan Zheng, Hengfei Cui, Jiatong Li, Dianrong Du, Geng Chen, Yong Xia
2025 — conf
Transfer Attention-Guided Multi-Receptive Field Network for Multi-Modality Cardiac Image Segmentation.
BIBM
Jiatong Li, Hengfei Cui, Dianrong Du, Jiaxin Li, Geng Chen, Yong Xia
2025 J jnl
UAE: Universal Anatomical Embedding on multi-modality medical images.
Medical Image Anal.
Xiaoyu Bai, Fan Bai, Xiaofei Huo, Jia Ge, Jingjing Lu, Xianghua Ye, Minglei Shu, Ke Yan, Yong Xia
2025 J jnl
Unified Start, Personalized End: Progressive Pruning for Efficient 3D Medical Image Segmentation.
CoRR
Linhao Li, Yiwen Ye, Ziyang Chen, Yong Xia
2025 J jnl
Unleashing the potential of open-set noisy samples against label noise for medical image classification.
Medical Image Anal.
Zehui Liao, Shishuai Hu, Yanning Zhang, Yong Xia
2025 — conf
Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering.
MICCAI (5)
Zehui Liao, Shishuai Hu, Ke Zou, Huazhu Fu, Liangli Zhen, Yong Xia
2025 J jnl
Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering.
CoRR
Zehui Liao, Shishuai Hu, Ke Zou, Huazhu Fu, Liangli Zhen, Yong Xia
2024 J jnl
A Survey of Medical Vision-and-Language Applications and Their Techniques.
CoRR
Qi Chen, Ruoshan Zhao, Sinuo Wang, Vu Minh Hieu Phan, Anton van den Hengel, Johan Verjans, Zhibin Liao, Minh-Son To, Yong Xia, Jian Chen, Yutong Xie, Qi Wu
2024 J jnl
A human-in-the-loop method for pulmonary nodule detection in CT scans.
Vis. Intell.
Qingjie Zeng, Yutong Xie, Zilin Lu, Yong Xia
2024 J jnl
CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation.
CoRR
Yihang Fu, Ziyang Chen, Yiwen Ye, Xingliang Lei, Zhisong Wang, Yong Xia
2024 A* conf
Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning.
CVPR
Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Qi Wu, Yong Xia
2024 J jnl
Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation.
CoRR
Ziyang Chen, Yiwen Ye, Yongsheng Pan, Yong Xia
2024 J jnl
Disentangle Then Calibrate With Gradient Guidance: A Unified Framework for Common and Rare Disease Diagnosis.
IEEE Trans. Medical Imaging
Yuanyuan Chen, Xiaoqing Guo, Yong Xia, Yixuan Yuan
2024 — conf
DyNo: Dynamic Normalization based Test-Time Adaptation for 2D Medical Image Segmentation.
MLMI@MICCAI (1)
Yihang Fu, Ziyang Chen, Yiwen Ye, Yong Xia
2024 A* conf
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation.
CVPR
Ziyang Chen, Yongsheng Pan, Yiwen Ye, Mengkang Lu, Yong Xia
2024 — conf
Enhancing Federated Learning Performance Fairness via Collaboration Graph-Based Reinforcement Learning.
MICCAI (10)
Yuexuan Xia, Benteng Ma, Qi Dou, Yong Xia
2024 J jnl
Exploratory Training for Universal Lesion Detection: Enhancing Lesion Mining Quality Through Temporal Verification.
IEEE J. Biomed. Health Informatics
Xiaoyu Bai, Geng Chen, Benteng Ma, Changyang Li, Jingfeng Zhang, Yong Xia
2024 — conf
FedEvi: Improving Federated Medical Image Segmentation via Evidential Weight Aggregation.
MICCAI (10)
Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia
2024 J jnl
From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels.
CoRR
Zhisong Wang, Yiwen Ye, Ziyang Chen, Minglei Shu, Yong Xia
2024 J jnl
Fusion-Embedding Siamese Network for Light Field Salient Object Detection.
IEEE Trans. Multim.
Geng Chen, Huazhu Fu, Tao Zhou, Guobao Xiao, Keren Fu, Yong Xia, Yanning Zhang
2024 — conf
GLANCE: Combating Label Noise Using Global and Local Noise Correction for Multi-label Chest X-Ray Classification.
UNSURE@MICCAI
Xianze Ai, Zehui Liao, Yong Xia
2024 J jnl
Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation.
CoRR
Ziyang Chen, Yiwen Ye, Yongsheng Pan, Yong Xia
2024 J jnl
MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer.
CoRR
Geng Chen, Junqing Yang, Xiaozhou Pu, Ge-Peng Ji, Huan Xiong, Yongsheng Pan, Hengfei Cui, Yong Xia
2024 J jnl
MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model.
CoRR
Yiwen Ye, Ziyang Chen, Jianpeng Zhang, Yutong Xie, Yong Xia
2024 J jnl
Meta Curvature-Aware Minimization for Domain Generalization.
CoRR
Ziyang Chen, Yiwen Ye, Feilong Tang, Yongsheng Pan, Yong Xia
2024 J jnl
Modeling annotator preference and stochastic annotation error for medical image segmentation.
Medical Image Anal.
Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia
2024 J jnl
Momentum recursive DARTS.
Pattern Recognit.
Benteng Ma, Yanning Zhang, Yong Xia
2024 A* conf
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?
CVPR
Yutong Xie, Qi Chen, Sinuo Wang, Minh-Son To, Iris Lee, Ee Win Khoo, Kerolos Hendy, Daniel Koh, Yong Xia, Qi Wu
2024 J jnl
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?
CoRR
Yutong Xie, Qi Chen, Sinuo Wang, Minh-Son To, Iris Lee, Ee Win Khoo, Kerolos Hendy, Daniel Koh, Yong Xia, Qi Wu
2024 J jnl
Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training.
CoRR
Xingliang Lei, Yiwen Ye, Ziyang Chen, Minglei Shu, Yong Xia
2024 J jnl
ReFs: A hybrid pre-training paradigm for 3D medical image segmentation.
Medical Image Anal.
Yutong Xie, Jianpeng Zhang, Lingqiao Liu, Hu Wang, Yiwen Ye, Johan Verjans, Yong Xia
2024 — conf
Reciprocal Collaboration for Semi-supervised Medical Image Classification.
MICCAI (11)
Qingjie Zeng, Zilin Lu, Yutong Xie, Mengkang Lu, Xinke Ma, Yong Xia
2024 — conf
Reframing Universal Lesion Segmentation as a Large-Organ Lesion Segmentation Task.
FLARE@MICCAI
Xiaoyu Bai, Ziyang Chen, Shaoteng Zhang, Qin Liu, Xing Liu, Yong Xia
2024 J jnl
Rethinking masked image modelling for medical image representation.
Medical Image Anal.
Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu
2024 — conf
Rethinking nnU-Net for Cross-Modality Unsupervised Domain Adaptation in Abdominal Organ Segmentation.
FLARE@MICCAI
Ziyang Chen, Xiaoyu Bai, Zhisong Wang, Yiwen Ye, Yongsheng Pan, Yong Xia
2024 J jnl
Robust Stochastic Neural Ensemble Learning With Noisy Labels for Thoracic Disease Classification.
IEEE Trans. Medical Imaging
Hongyu Wang, Jiang He, Hengfei Cui, Bo Yuan, Yong Xia
2024 — conf
Spot the Difference: Difference Visual Question Answering with Residual Alignment.
MICCAI (5)
Zilin Lu, Yutong Xie, Qingjie Zeng, Mengkang Lu, Qi Wu, Yong Xia
2024 A* conf
SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation.
AAAI
Wenxi Yue, Jing Zhang, Kun Hu, Yong Xia, Jiebo Luo, Zhiyong Wang
2024 A* conf
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts.
CVPR
Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia
2024 A* conf
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NeurIPS
Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou
2024 J jnl
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
CoRR
Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou
2024 J jnl
Toward Accurate Cardiac MRI Segmentation With Variational Autoencoder-Based Unsupervised Domain Adaptation.
IEEE Trans. Medical Imaging
Hengfei Cui, Yan Li, Yifan Wang, Di Xu, Lianming Wu, Yong Xia
2024 J jnl
Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation.
CoRR
Shishuai Hu, Zehui Liao, Zeyou Liu, Yong Xia
2024 J jnl
TriLA: Triple-Level Alignment Based Unsupervised Domain Adaptation for Joint Segmentation of Optic Disc and Optic Cup.
IEEE J. Biomed. Health Informatics
Ziyang Chen, Yongsheng Pan, Yiwen Ye, Zhiyong Wang, Yong Xia
2024 J jnl
UniMiSS+: Universal Medical Self-Supervised Learning From Cross-Dimensional Unpaired Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu
2024 J jnl
Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification.
CoRR
Zehui Liao, Shishuai Hu, Yong Xia
2024 — conf
Unsupervised Super-Resolution of Diffusion-Weighted Images via Deep Diffusion Prior.
BIBM
Geng Chen, Hao Yang, Runlin Zhang, Musa Bakarr, Yong Xia, Pew-Thian Yap
2024 J jnl
VNAS: Variational Neural Architecture Search.
Int. J. Comput. Vis.
Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao
2023 J jnl
A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images.
Comput. Biol. Medicine
Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
2023 J jnl
AATSN: Anatomy Aware Tumor Segmentation Network for PET-CT volumes and images using a lightweight fusion-attention mechanism.
Comput. Biol. Medicine
Ibtihaj Ahmad, Yong Xia, Hengfei Cui, Zain Ul Islam
2023 J jnl
Adaptive decoder-block selection with filter reweighting for medical image segmentation.
Biomed. Signal Process. Control.
Yaxin Chen, Benteng Ma, Yong Xia
2023 J jnl
An End-to-End Framework For Universal Lesion Detection With Missing Annotations.
CoRR
Xiaoyu Bai, Yong Xia
2023 J jnl
An Improved Combination of Faster R-CNN and U-Net Network for Accurate Multi-Modality Whole Heart Segmentation.
IEEE J. Biomed. Health Informatics
Hengfei Cui, Yifan Wang, Yan Li, Di Xu, Lei Jiang, Yong Xia, Yanning Zhang
2023 J jnl
Attention Mechanisms in Medical Image Segmentation: A Survey.
CoRR
Yutong Xie, Bing Yang, Qingbiao Guan, Jianpeng Zhang, Qi Wu, Yong Xia
2023 J jnl
BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series.
Comput. Biol. Medicine
Qinfen Wang, Geng Chen, Xuting Jin, Siyuan Ren, Gang Wang, Longbing Cao, Yong Xia
2023 J jnl
Cascade Multi-Level Transformer Network for Surgical Workflow Analysis.
IEEE Trans. Medical Imaging
Wenxi Yue, Hongen Liao, Yong Xia, Vincent Lam, Jiebo Luo, Zhiyong Wang
2023 J jnl
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning.
CoRR
Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Qi Wu, Yong Xia
2023 J jnl
DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditions.
Expert Syst. Appl.
Ibtihaj Ahmad, Yong Xia, Hengfei Cui, Zain Ul Islam
2023 J jnl
Deformable medical image registration with global-local transformation network and region similarity constraint.
Comput. Medical Imaging Graph.
Xinke Ma, Hengfei Cui, Shuoyan Li, Yibo Yang, Yong Xia
2023 — conf
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation.
MICCAI (4)
Shishuai Hu, Zehui Liao, Yong Xia
2023 J jnl
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation.
CoRR
Shishuai Hu, Zehui Liao, Yong Xia
2023 J jnl
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation.
CoRR
Qingjie Zeng, Yutong Xie, Zilin Lu, Mengkang Lu, Yong Xia
2023 J jnl
Disentangle First, Then Distill: A Unified Framework for Missing Modality Imputation and Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging
Yuanyuan Chen, Yongsheng Pan, Yong Xia, Yixuan Yuan
2023 J jnl
Domain and Content Adaptive Convolution Based Multi-Source Domain Generalization for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Shishuai Hu, Zehui Liao, Jianpeng Zhang, Yong Xia
2023 J jnl
Domain-ensemble learning with cross-domain mixup for thoracic disease classification in unseen domains.
Biomed. Signal Process. Control.
Hongyu Wang, Yong Xia
2023 J jnl
Dynamic feature splicing for few-shot rare disease diagnosis.
Medical Image Anal.
Yuanyuan Chen, Xiaoqing Guo, Yongsheng Pan, Yong Xia, Yixuan Yuan
2023 J jnl
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation.
CoRR
Ziyang Chen, Yiwen Ye, Mengkang Lu, Yongsheng Pan, Yong Xia
2023 J jnl
Federated adaptive reweighting for medical image classification.
Pattern Recognit.
Benteng Ma, Yu Feng, Geng Chen, Changyang Li, Yong Xia
2023 J jnl
Hierarchical cumulative network for unsupervised medical image registration.
Comput. Biol. Medicine
Xinke Ma, Jiang He, Xing Liu, Qin Liu, Geng Chen, Bo Yuan, Changyang Li, Yong Xia
2023 J jnl
Hyperspectral anomaly detection via weighted-sparsity-regularized tensor linear representation.
IET Image Process.
Jingxuan Wang, Jinqiu Sun, Yong Xia, Yanning Zhang
2023 J jnl
Inter-layer transition in neural architecture search.
Pattern Recognit.
Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao
2023 J jnl
Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen
2023 — conf
MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking.
MICCAI (1)
Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu
2023 — conf
Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis.
MICCAI (6)
Mengkang Lu, Tianyi Wang, Yong Xia
2023 J jnl
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.
Medical Image Anal.
Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang
2023 A* conf
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training.
CVPR
Qingjie Zeng, Yutong Xie, Zilin Lu, Yong Xia
2023 — conf
PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data.
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Zheng Yu, Yutong Xie, Yong Xia, Qi Wu
2023 J jnl
Part to Whole: Collaborative Prompting for Surgical Instrument Segmentation.
CoRR
Wenxi Yue, Jing Zhang, Kun Hu, Qiuxia Wu, Zongyuan Ge, Yong Xia, Jiebo Luo, Zhiyong Wang
2023 J jnl
Reconstruction-Driven Dynamic Refinement Based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation.
IEEE J. Biomed. Health Informatics
Ziyang Chen, Yongsheng Pan, Yong Xia
2023 J jnl
Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation.
CoRR
Ziyang Chen, Yongsheng Pan, Yong Xia
2023 — conf
Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction.
MICCAI (10)
Yongsheng Pan, Feihong Liu, Caiwen Jiang, Jiawei Huang, Yong Xia, Dinggang Shen
2023 J jnl
SAM++: Enhancing Anatomic Matching using Semantic Information and Structural Inference.
CoRR
Xiaoyu Bai, Yong Xia
2023 J jnl
SAMv2: A Unified Framework for Learning Appearance, Semantic and Cross-Modality Anatomical Embeddings.
CoRR
Xiaoyu Bai, Fan Bai, Xiaofei Huo, Jia Ge, Jingjing Lu, Xianghua Ye, Ke Yan, Yong Xia
2023 J jnl
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
CoRR
Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang
2023 J jnl
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation.
CoRR
Qingjie Zeng, Yutong Xie, Zilin Lu, Mengkang Lu, Yicheng Wu, Yong Xia
2023 — conf
Single-Cell Spatial Analysis of Histopathology Images for Survival Prediction via Graph Attention Network.
AMAI@MICCAI
Zhe Li, Yuming Jiang, Leon Liu, Yong Xia, Ruijiang Li
2023 J jnl
SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation.
CoRR
Wenxi Yue, Jing Zhang, Kun Hu, Yong Xia, Jiebo Luo, Zhiyong Wang
2023 J jnl
Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution.
IEEE Trans. Medical Imaging
Zhe Li, Yuming Jiang, Mengkang Lu, Ruijiang Li, Yong Xia
2023 J jnl
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image Segmentation.
CoRR
Tao Lei, Rui Sun, Yong Wan, Yong Xia, Xiaogang Du, Asoke K. Nandi
2023 — conf
TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation.
MICCAI (1)
Shaoteng Zhang, Jianpeng Zhang, Yutong Xie, Yong Xia
2023 J jnl
Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training.
CoRR
Xiaoyu Bai, Benteng Ma, Changyang Li, Yong Xia
2023 J jnl
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT.
CoRR
Nicholas Heller, Fabian Isensee, Dasha Trofimova, Resha Tejpaul, Zhongchen Zhao, Huai Chen, Lisheng Wang, Alex Golts, Daniel Khapun, Daniel Shats, Yoel Shoshan, Flora Gilboa-Solomon, Yasmeen M. George, Xi Yang, Jianpeng Zhang, Jing Zhang, Yong Xia, Mengran Wu, Zhiyang Liu, Edward Walczak, Seán McSweeney, Ranveer Vasdev, Chris Hornung, Rafat Solaiman, Jamee Schoephoerster, Bailey Abernathy, David Wu, Safa Abdulkadir, Ben Byun, Justice Spriggs, Griffin Struyk, Alexandra Austin, Ben Simpson, Michael Hagström, Sierra Virnig, John French, Nitin Venkatesh, Sarah Chan, Keenan Moore, Anna Jacobsen, Susan Austin, Mark Austin, Subodh Regmi, Nikolaos Papanikolopoulos, Christopher J. Weight
2023 J jnl
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts.
CoRR
Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia, Kwang-Ting Cheng
2023 — conf
Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer.
MICCAI (8)
Junqing Yang, Haotian Jiang, Tewodros Tassew, Peng Sun, Jiquan Ma, Yong Xia, Pew-Thian Yap, Geng Chen
2023 — conf
Transformer-Based Annotation Bias-Aware Medical Image Segmentation.
MICCAI (4)
Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia
2023 J jnl
Transformer-based Annotation Bias-aware Medical Image Segmentation.
CoRR
Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia
2023 — conf
Treasure in Distribution: A Domain Randomization Based Multi-source Domain Generalization for 2D Medical Image Segmentation.
MICCAI (4)
Ziyang Chen, Yongsheng Pan, Yiwen Ye, Hengfei Cui, Yong Xia
2023 J jnl
Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation.
CoRR
Ziyang Chen, Yongsheng Pan, Yiwen Ye, Hengfei Cui, Yong Xia
2023 — conf
URL: Combating Label Noise for Lung Nodule Malignancy Grading.
DALI@MICCAI
Xianze Ai, Zehui Liao, Yong Xia
2023 J jnl
URL: Combating Label Noise for Lung Nodule Malignancy Grading.
CoRR
Xianze Ai, Zehui Liao, Yong Xia
2023 — conf
UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner.
MICCAI (3)
Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia
2023 J jnl
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner.
CoRR
Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia
2023 — conf
Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images.
MICCAI (3)
Qingbiao Guan, Yutong Xie, Bing Yang, Jianpeng Zhang, Zhibin Liao, Qi Wu, Yong Xia
2022 — conf
$\mathrm {M^{2}F}$: A Multi-modal and Multi-task Fusion Network for Glioma Diagnosis and Prognosis.
MMMI@MICCAI
Zilin Lu, Mengkang Lu, Yong Xia
2022 J jnl
A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling.
Pattern Recognit.
Jie Wei, Zhengwang Wu, Li Wang, Toan Duc Bui, Liangqiong Qu, Pew-Thian Yap, Yong Xia, Gang Li, Dinggang Shen
2022 J jnl
Boundary-Aware Network for Abdominal Multi-Organ Segmentation.
CoRR
Shishuai Hu, Zehui Liao, Yong Xia
2022 — conf
Boundary-Aware Network for Kidney Parsing.
CuRIOUS/KiPA/MELA@MICCAI
Shishuai Hu, Zehui Liao, Yiwen Ye, Yong Xia
2022 J jnl
Boundary-Aware Network for Kidney Parsing.
CoRR
Shishuai Hu, Yiwen Ye, Zehui Liao, Yong Xia
2022 J jnl
ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers.
CoRR
Yutong Xie, Jianpeng Zhang, Yong Xia, Anton van den Hengel, Qi Wu
2022 — conf
DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation.
MICCAI (4)
Yiwen Ye, Jianpeng Zhang, Ziyang Chen, Yong Xia
2022 — conf
Deep U-Net Architecture with Curriculum Learning for Left Atrial Segmentation.
LAScarQS@MICCAI
Lei Jiang, Yan Li, Yifan Wang, Hengfei Cui, Yong Xia, Yanning Zhang
2022 J jnl
Deep U-Net architecture with curriculum learning for myocardial pathology segmentation in multi-sequence cardiac magnetic resonance images.
Knowl. Based Syst.
Hengfei Cui, Lei Jiang, Chang Yuwen, Yong Xia, Yanning Zhang
2022 J jnl
Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Yongsheng Pan, Ming-Xia Liu, Yong Xia, Dinggang Shen
2022 — conf
Disentangle Then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis.
MICCAI (3)
Yuanyuan Chen, Xiaoqing Guo, Yong Xia, Yixuan Yuan
2022 — conf
Domain Specific Convolution and High Frequency Reconstruction Based Unsupervised Domain Adaptation for Medical Image Segmentation.
MICCAI (8)
Shishuai Hu, Zehui Liao, Yong Xia
2022 J jnl
Dynamic Negative Sampling Autoencoder for Hyperspectral Anomaly Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jingxuan Wang, Jinqiu Sun, Yong Xia, Yanning Zhang
2022 — conf
Encoding Deep Residual Features into Fisher Vector for Skin Lesion Classification.
EMBC
Hangyu Hu, Ziyang Chen, Yong Xia
2022 A* conf
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis.
CVPR
Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, Dacheng Tao
2022 J jnl
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging.
CoRR
Haozhe Jia, Chao Bai, Tom Weidong Cai, Heng Huang, Yong Xia
2022 — conf
Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data.
MICCAI (1)
Geng Chen, Haotian Jiang, Jiannan Liu, Jiquan Ma, Hui Cui, Yong Xia, Pew-Thian Yap
2022 J jnl
Improving myocardial pathology segmentation with U-Net++ and EfficientSeg from multi-sequence cardiac magnetic resonance images.
Comput. Biol. Medicine
Hengfei Cui, Yan Li, Lei Jiang, Yifan Wang, Yong Xia, Yanning Zhang
2022 J jnl
Instance-specific Label Distribution Regularization for Learning with Label Noise.
CoRR
Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia
2022 J jnl
Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation.
IEEE Trans. Image Process.
Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia
2022 J jnl
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis.
CoRR
Shishuai Hu, Zehui Liao, Yong Xia
2022 J jnl
Learning From Ambiguous Labels for Lung Nodule Malignancy Prediction.
IEEE Trans. Medical Imaging
Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia
2022 J jnl
Learning from partially labeled data for multi-organ and tumor segmentation.
CoRR
Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen
2022 J jnl
Learning multi-scale synergic discriminative features for prostate image segmentation.
Pattern Recognit.
Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia
2022 J jnl
MFI-Net: Multiscale Feature Interaction Network for Retinal Vessel Segmentation.
IEEE J. Biomed. Health Informatics
Yiwen Ye, Chengwei Pan, Yicheng Wu, Shuqi Wang, Yong Xia
2022 J jnl
Matrix Autoregressive Model for Hyperspectral Anomaly Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jingxuan Wang, Jinqiu Sun, Yu Zhu, Yong Xia, Yanning Zhang
2022 J jnl
Mutual consistency learning for semi-supervised medical image segmentation.
Medical Image Anal.
Yicheng Wu, Zongyuan Ge, Donghao Zhang, Minfeng Xu, Lei Zhang, Yong Xia, Jianfei Cai
2022 J jnl
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images.
CoRR
Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang
2022 J jnl
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation.
CoRR
Shishuai Hu, Zehui Liao, Yong Xia
2022 J jnl
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Medical Image Anal.
Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru
2022 J jnl
SC2Net: A Novel Segmentation-Based Classification Network for Detection of COVID-19 in Chest X-Ray Images.
IEEE J. Biomed. Health Informatics
Huimin Zhao, Zhenyu Fang, Jinchang Ren, Calum MacLellan, Yong Xia, Shuo Li, Meijun Sun, Kevin Ren
2022 A* conf
Semantically-Consistent Dynamic Blurry Image Generation for Image Deblurring.
ACM Multimedia
Zhaohui Jing, Youjian Zhang, Chaoyue Wang, Daqing Liu, Yong Xia
2022 — conf
TransWS: Transformer-Based Weakly Supervised Histology Image Segmentation.
MLMI@MICCAI
Shaoteng Zhang, Jianpeng Zhang, Yong Xia
2022 — conf
UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier.
ECCV (21)
Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu
2021 J jnl
A deep learning approach to segmentation of nasopharyngeal carcinoma using computed tomography.
Biomed. Signal Process. Control.
Xiaoyu Bai, Yan Hu, Guanzhong Gong, Yong Yin, Yong Xia
2021 J jnl
Anomaly Detection of Hyperspectral Image via Tensor Completion.
IEEE Geosci. Remote. Sens. Lett.
Jingxuan Wang, Yong Xia, Yanning Zhang
2021 A conf
BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values.
CIKM
Qinfen Wang, Siyuan Ren, Yong Xia, Longbing Cao
2021 J jnl
Bidirectional cross-modality unsupervised domain adaptation using generative adversarial networks for cardiac image segmentation.
Comput. Biol. Medicine
Hengfei Cui, Chang Yuwen, Lei Jiang, Yong Xia, Yanning Zhang
2021 J jnl
Boundary-aware Graph Reasoning for Semantic Segmentation.
CoRR
Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan
2021 — conf
CDLRS: Collaborative Deep Learning Model with Joint Regression and Segmentation for Automatic Fovea Localization.
OMIA@MICCAI
Ziyang Chen, Yongsheng Pan, Yong Xia
2021 — conf
Cerebral Blood Volume Prediction Based on Multi-modality Magnetic Resonance Imaging.
SASHIMI@MICCAI
Yongsheng Pan, Jingyu Huang, Bao Wang, Peng Zhao, Yingchao Liu, Yong Xia
2021 — conf
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation.
MICCAI (3)
Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia
2021 J jnl
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation.
CoRR
Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia
2021 — conf
Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages.
MICCAI (5)
Yongsheng Pan, Yuanyuan Chen, Dinggang Shen, Yong Xia
2021 — conf
Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks.
MICCAI (1)
Jie Wei, Feng Shi, Zhiming Cui, Yongsheng Pan, Yong Xia, Dinggang Shen
2021 J jnl
D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang
2021 J jnl
Deep Reinforcement Learning for Weakly-Supervised Lymph Node Segmentation in CT Images.
IEEE J. Biomed. Health Informatics
Zhe Li, Yong Xia
2021 — conf
Deformable Convolution and Semi-supervised Learning in Point Clouds for Aneurysm Classification and Segmentation.
ICONIP (6)
Yan Hu, Erik Meijering, Yong Xia, Yang Song
2021 A* conf
DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets.
CVPR
Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen
2021 J jnl
Domain and Content Adaptive Convolution for Domain Generalization in Medical Image Segmentation.
CoRR
Shishuai Hu, Zehui Liao, Jianpeng Zhang, Yong Xia
2021 J jnl
Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation.
CoRR
Yicheng Wu, Zongyuan Ge, Donghao Zhang, Minfeng Xu, Lei Zhang, Yong Xia, Jianfei Cai
2021 J jnl
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis.
CoRR
Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, Dacheng Tao
2021 — conf
HNF-Netv2 for Brain Tumor Segmentation Using Multi-modal MR Imaging.
BrainLes@MICCAI (2)
Haozhe Jia, Chao Bai, Weidong Cai, Heng Huang, Yong Xia
2021 J jnl
Inter-Slice Context Residual Learning for 3D Medical Image Segmentation.
IEEE Trans. Medical Imaging
Jianpeng Zhang, Yutong Xie, Yan Wang, Yong Xia
2021 J jnl
Iterative sparse and deep learning for accurate diagnosis of Alzheimer's disease.
Pattern Recognit.
Yuanyuan Chen, Yong Xia
2021 A conf
Learning Synergistic Attention for Light Field Salient Object Detection.
BMVC
Yi Zhang, Geng Chen, Qian Chen, Yujia Sun, Yong Xia, Olivier Déforges, Wassim Hamidouche, Lu Zhang
2021 J jnl
Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction.
CoRR
Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia
2021 — conf
Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation.
MLMI@MICCAI
Jie Wei, Yongsheng Pan, Yong Xia, Dinggang Shen
2021 — conf
Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach.
PRIME@MICCAI
Bolin Lai, Yuhsuan Wu, Xiaoyu Bai, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison
2021 J jnl
Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators.
CoRR
Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia
2021 J jnl
Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Cheng Li, Jingxu Xu, Qiegen Liu, Yongjin Zhou, Lisha Mou, Zuhui Pu, Yong Xia, Hairong Zheng, Shanshan Wang
2021 J jnl
Multiscale attention guided U-Net architecture for cardiac segmentation in short-axis MRI images.
Comput. Methods Programs Biomed.
Hengfei Cui, Chang Yuwen, Lei Jiang, Yong Xia, Yanning Zhang
2021 J jnl
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images.
CoRR
Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
2021 — conf
Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading.
MICCAI (5)
Zelin Qiu, Yongsheng Pan, Jie Wei, Dijia Wu, Yong Xia, Dinggang Shen
2021 J jnl
SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors.
IEEE Trans. Medical Imaging
Yutong Xie, Jianpeng Zhang, Hao Lu, Chunhua Shen, Yong Xia
2021 — conf
SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images.
COMPAY@MICCAI
Mengkang Lu, Yongsheng Pan, Dong Nie, Feihong Liu, Feng Shi, Yong Xia, Dinggang Shen
2021 — conf
Systematic Study of Joint Influence of Angular Resolution and Noise in Cardiac Diffusion Tensor Imaging.
FIMH
Yunlong He, Lihui Wang, Feng Yang, Yong Xia, Patrick Clarysse, Yuemin Zhu
2021 — conf
Transfer Learning for KiTS21 Challenge.
KiTS@MICCAI
Xi Yang, Jianpeng Zhang, Jing Zhang, Yong Xia
2021 J jnl
Triple attention learning for classification of 14 thoracic diseases using chest radiography.
Medical Image Anal.
Hongyu Wang, Shanshan Wang, Zibo Qin, Yanning Zhang, Ruijiang Li, Yong Xia
2021 — conf
Ultimate Reconstruction: Understand Your Bones From Orthogonal Views.
ISBI
Yongsheng Pan, Yong Xia
2021 J jnl
Unified 2D and 3D Pre-training for Medical Image classification and Segmentation.
CoRR
Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu
2021 J jnl
View adaptive learning for pancreas segmentation.
Biomed. Signal Process. Control.
Yan Wang, Jianpeng Zhang, Hengfei Cui, Yanning Zhang, Yong Xia
2021 J jnl
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection.
IEEE Trans. Medical Imaging
Jianpeng Zhang, Yutong Xie, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxing Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, Yong Xia
2020 J jnl
3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images.
IEEE Trans. Medical Imaging
Haozhe Jia, Yong Xia, Yang Song, Donghao Zhang, Heng Huang, Yanning Zhang, Weidong Cai
2020 — conf
7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network.
ISBI
Jie Wei, Duc Toan Bui, Zhengwang Wu, Li Wang, Yong Xia, Gang Li, Dinggang Shen
2020 J jnl
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification.
IEEE Trans. Medical Imaging
Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen
2020 A* conf
Auto Learning Attention.
NeurIPS
Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao
2020 J jnl
Autonomous deep learning: A genetic DCNN designer for image classification.
Neurocomputing
Benteng Ma, Xiang Li, Yong Xia, Yanning Zhang
2020 — conf
Boundary-Aware Network for Kidney Tumor Segmentation.
MLMI@MICCAI
Shishuai Hu, Jianpeng Zhang, Yong Xia
2020 J jnl
COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection.
CoRR
Jianpeng Zhang, Yutong Xie, Yi Li, Chunhua Shen, Yong Xia
2020 J jnl
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets.
CoRR
Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen
2020 — conf
EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge.
MyoPS@MICCAI
Jianpeng Zhang, Yutong Xie, Zhibin Liao, Johan Verjans, Yong Xia
2020 J jnl
Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach.
CoRR
Bolin Lai, Xiaoyu Bai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison
2020 — conf
H
BrainLes@MICCAI (2)
Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia
2020 J jnl
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task.
CoRR
Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia
2020 J jnl
Inter-layer Transition in Neural Architecture Search.
CoRR
Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao
2020 J jnl
Inter-slice Context Residual Learning for 3D Medical Image Segmentation.
CoRR
Jianpeng Zhang, Yutong Xie, Yan Wang, Yong Xia
2020 — conf
Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images.
MICCAI (4)
Haozhe Jia, Yong Xia, Weidong Cai, Heng Huang
2020 J jnl
NFN＋: A novel network followed network for retinal vessel segmentation.
Neural Networks
Yicheng Wu, Yong Xia, Yang Song, Yanning Zhang, Weidong Cai
2020 J jnl
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation.
CoRR
Yutong Xie, Jianpeng Zhang, Zehui Liao, Yong Xia, Chunhua Shen
2020 — conf
Pairwise Relation Learning for Semi-supervised Gland Segmentation.
MICCAI (5)
Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia
2020 J jnl
Pairwise Relation Learning for Semi-supervised Gland Segmentation.
CoRR
Yutong Xie, Jianpeng Zhang, Zhibin Liao, Chunhua Shen, Johan Verjans, Yong Xia
2020 J jnl
Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation.
CoRR
Yicheng Wu, Chengwei Pan, Shuqi Wang, Ming Zhang, Yong Xia, Yizhou Yu
2020 — conf
Retinal Image Quality Assessment via Specific Structures Segmentation.
OMIA@MICCAI
Xinqiang Zhou, Yicheng Wu, Yong Xia
2020 — conf
Segmentation then Prediction: A Multi-task Solution to Brain Tumor Segmentation and Survival Prediction.
BrainLes@MICCAI (1)
Guojing Zhao, Bowen Jiang, Jianpeng Zhang, Yong Xia
2020 J jnl
Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages.
IEEE Trans. Medical Imaging
Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen
2020 J jnl
Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography.
IEEE J. Biomed. Health Informatics
Hongyu Wang, Haozhe Jia, Le Lu, Yong Xia
2020 — conf
α-UNet++: A Data-Driven Neural Network Architecture for Medical Image Segmentation.
DART/DCL@MICCAI
Yaxin Chen, Benteng Ma, Yong Xia
2019 J jnl
2D and 3D Vascular Structures Enhancement Via Improved Vesselness Filter and Vessel Enhancing Diffusion.
IEEE Access
Hengfei Cui, Yong Xia, Yanning Zhang
2019 — conf
A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection.
DART/MIL3ID@MICCAI
Feng Zhang, Yutong Xie, Yong Xia, Yanning Zhang
2019 J jnl
Affective image classification by jointly using interpretable art features and semantic annotations.
J. Vis. Commun. Image Represent.
Xuan Liu, Na Li, Yong Xia
2019 — conf
An Ensemble of Deep Neural Networks for Segmentation of Lung and Clavicle on Chest Radiographs.
MIUA
Jingyi Zhang, Yong Xia, Yanning Zhang
2019 J jnl
Attention Residual Learning for Skin Lesion Classification.
IEEE Trans. Medical Imaging
Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen
2019 J jnl
CSA-DE/EDA: a Novel Bio-inspired Algorithm for Function Optimization and Segmentation of Brain MR Images.
Cogn. Comput.
Zhe Li, Yong Xia, Hichem Sahli
2019 J jnl
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation.
CoRR
Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang
2019 — conf
DAEimp: Denoising Autoencoder-Based Imputation of Sleep Heart Health Study for Identification of Cardiovascular Diseases.
PRCV (1)
Xiaoyun Dong, Jingjing Zhang, Gang Wang, Yong Xia
2019 — conf
Deep Segmentation-Emendation Model for Gland Instance Segmentation.
MICCAI (1)
Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, Yong Xia
2019 — conf
Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis.
GLMI@MICCAI
Yongsheng Pan, Mingxia Liu, Li Wang, Yong Xia, Dinggang Shen
2019 — conf
Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages.
MICCAI (3)
Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Yong Xia, Dinggang Shen
2019 J jnl
EMS-Net: Ensemble of Multiscale Convolutional Neural Networks for Classification of Breast Cancer Histology Images.
Neurocomputing
Zhanbo Yang, Lingyan Ran, Shizhou Zhang, Yong Xia, Yanning Zhang
2019 — conf
Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation.
Australasian Conference on Artificial Intelligence
Donghao Zhang, Yang Song, Dongnan Liu, Chaoyi Zhang, Yicheng Wu, Heng Wang, Fan Zhang, Yong Xia, Lauren J. O'Donnell, Weidong Cai
2019 J jnl
Fast-Convergent Fully Connected Deep Learning Model Using Constrained Nodes Input.
Neural Process. Lett.
Chen Ding, Ying Li, Lei Zhang, Jinyang Zhang, Lu Yang, Wei Wei, Yong Xia, Yanning Zhang
2019 J jnl
Foreground Fisher Vector: Encoding Class-Relevant Foreground to Improve Image Classification.
IEEE Trans. Image Process.
Yongsheng Pan, Yong Xia, Dinggang Shen
2019 J jnl
GA-SVM based feature selection and parameter optimization in hospitalization expense modeling.
Appl. Soft Comput.
Tao Zhou, Huiling Lu, Wenwen Wang, Yong Xia
2019 — conf
HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images.
MICCAI (2)
Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, Yong Xia
2019 — conf
Improving Brain Tumor Segmentation in Multi-sequence MR Images Using Cross-Sequence MR Image Generation.
BrainLes@MICCAI (2)
Guojing Zhao, Jianpeng Zhang, Yong Xia
2019 J jnl
Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT.
IEEE Trans. Medical Imaging
Yutong Xie, Yong Xia, Jianpeng Zhang, Yang Song, Dagan Feng, Michael J. Fulham, Weidong Cai
2019 A* conf
Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation.
IJCAI
Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen
2019 J jnl
M
Pattern Recognit.
Jie Wei, Yong Xia, Yanning Zhang
2019 — conf
MSA-Net: Multiscale Spatial Attention Network for the Classification of Breast Histology Images.
BICS
Zhanbo Yang, Lingyan Ran, Yong Xia, Yanning Zhang
2019 J jnl
Medical image classification using synergic deep learning.
Medical Image Anal.
Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia
2019 — conf
Memory Network-Based Quality Normalization of Magnetic Resonance Images for Brain Segmentation.
IScIDE (1)
Yang Su, Jie Wei, Benteng Ma, Yong Xia, Yanning Zhang
2019 J jnl
Normalized Non-Negative Sparse Encoder for Fast Image Representation.
IEEE Trans. Circuits Syst. Video Technol.
Shizhou Zhang, Jinjun Wang, Weiwei Shi, Yihong Gong, Yong Xia, Yanning Zhang
2019 J jnl
Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation.
CoRR
Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen
2019 J jnl
Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT.
Medical Image Anal.
Yutong Xie, Jianpeng Zhang, Yong Xia
2019 — conf
Three-Dimensional Coronary Artery Centerline Extraction and Cross Sectional Lumen Quantification from CT Angiography Images.
IScIDE (1)
Hengfei Cui, Yong Xia, Yanning Zhang
2019 — conf
Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision.
MICCAI (1)
Yicheng Wu, Yong Xia, Yang Song, Donghao Zhang, Dongnan Liu, Chaoyi Zhang, Weidong Cai
2018 J jnl
3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation.
CoRR
Haozhe Jia, Yang Song, Donghao Zhang, Heng Huang, Dagan Feng, Michael J. Fulham, Yong Xia, Weidong Cai
2018 J jnl
A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images.
CoRR
Yutong Xie, Jianpeng Zhang, Yong Xia
2018 J jnl
A Pulmonary Nodule Detection Model Based on Progressive Resolution and Hierarchical Saliency.
CoRR
Junjie Zhang, Yong Xia, Yanning Zhang
2018 J jnl
Affective image classification via semi-supervised learning from web images.
Multim. Tools Appl.
Na Li, Yong Xia
2018 J jnl
Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging.
Neurocomputing
Haozhe Jia, Yong Xia, Yang Song, Weidong Cai, Michael J. Fulham, David Dagan Feng
2018 J jnl
Automatic Coronary Centerline Extraction Using Gradient Vector Flow Field and Fast Marching Method From CT Images.
IEEE Access
Hengfei Cui, Yong Xia
2018 J jnl
Automatic Kernel Size Determination for Deep Neural Networks Based Hyperspectral Image Classification.
Remote. Sens.
Chen Ding, Ying Li, Yong Xia, Lei Zhang, Yanning Zhang
2018 J jnl
Autonomous Deep Learning: A Genetic DCNN Designer for Image Classification.
CoRR
Benteng Ma, Yong Xia
2018 — conf
Brain Tumor Segmentation on Multimodal MR Imaging Using Multi-level Upsampling in Decoder.
BrainLes@MICCAI (2)
Yan Hu, Xiang Liu, Xin Wen, Chen Niu, Yong Xia
2018 — conf
CSA-DE/EDA: A Clonal Selection Algorithm Using Differential Evolution and Estimation of Distribution Algorithm.
BICS
Zhe Li, Yong Xia, Hichem Sahli
2018 J jnl
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography.
CoRR
Hongyu Wang, Yong Xia
2018 J jnl
Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features.
IEEE J. Biomed. Health Informatics
Jianpeng Zhang, Yong Xia, Yutong Xie, Michael J. Fulham, David Dagan Feng
2018 — conf
Cross-cohort dementia identification using transfer learning with FDG-PET imaging.
ISBI
Shen Lu, Yong Xia, Weidong Cai, David Dagan Feng, Michael J. Fulham
2018 — conf
Deep Classification and Segmentation Model for Vessel Extraction in Retinal Images.
PRCV (2)
Yicheng Wu, Yong Xia, Yanning Zhang
2018 B conf
Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images.
ICIP
Dongnan Liu, Donghao Zhang, Siqi Liu, Yang Song, Haozhe Jia, Dagan Feng, Yong Xia, Weidong Cai
2018 — conf
Early Diagnosis of Alzheimer's Disease by Ensemble Deep Learning Using FDG-PET.
IScIDE
Chuanchuan Zheng, Yong Xia, Yuanyuan Chen, Xiao-Xia Yin, Yanchun Zhang
2018 — conf
Early Identification of Alzheimer's Disease Using an Ensemble of 3D Convolutional Neural Networks and Magnetic Resonance Imaging.
BICS
Yuanyuan Chen, Haozhe Jia, Zhaowei Huang, Yong Xia
2018 J jnl
Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT.
Inf. Fusion
Yutong Xie, Jianpeng Zhang, Yong Xia, Michael J. Fulham, Yanning Zhang
2018 J jnl
Locality constrained encoding of frequency and spatial information for image classification.
Multim. Tools Appl.
Yongsheng Pan, Yong Xia, Yang Song, Weidong Cai
2018 — conf
Lung Nodule Detection Using Combined Traditional and Deep Models and Chest CT.
IScIDE
Junjie Zhang, Zhaowei Huang, Tairan Huang, Yong Xia, Yanning Zhang
2018 — conf
Multiscale Network Followed Network Model for Retinal Vessel Segmentation.
MICCAI (2)
Yicheng Wu, Yong Xia, Yang Song, Yanning Zhang, Weidong Cai
2018 J jnl
NODULe: Combining constrained multi-scale LoG filters with densely dilated 3D deep convolutional neural network for pulmonary nodule detection.
Neurocomputing
Junjie Zhang, Yong Xia, Haoyue Zeng, Yanning Zhang
2018 — conf
Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis.
MICCAI (2)
Donghao Zhang, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, Heng Huang, Weidong Cai
2018 J jnl
Pedestrian search in surveillance videos by learning discriminative deep features.
Neurocomputing
Shizhou Zhang, De Cheng, Yihong Gong, Dahu Shi, Xi Qiu, Yong Xia, Yanning Zhang
2018 J jnl
Person Re-Identification With Triplet Focal Loss.
IEEE Access
Shizhou Zhang, Qi Zhang, Xing Wei, Yanning Zhang, Yong Xia
2018 J jnl
Pulmonary nodule detection in medical images: A survey.
Biomed. Signal Process. Control.
Junjie Zhang, Yong Xia, Hengfei Cui, Yanning Zhang
2018 J jnl
Residual Network based Aggregation Model for Skin Lesion Classification.
CoRR
Yongsheng Pan, Yong Xia
2018 — conf
Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning.
MICCAI (2)
Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia
2018 — conf
Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis.
MICCAI (3)
Yongsheng Pan, Mingxia Liu, Chunfeng Lian, Tao Zhou, Yong Xia, Dinggang Shen
2018 J jnl
VBI-MRF model for image segmentation.
Multim. Tools Appl.
Yong Xia, Zhe Li
2018 J jnl
Validation of right coronary artery lumen area from cardiac computed tomography against intravascular ultrasound.
Mach. Vis. Appl.
Hengfei Cui, Yong Xia, Yanning Zhang, Liang Zhong
2017 — conf
3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences.
BrainLes@MICCAI
Yan Hu, Yong Xia
2017 J jnl
A Tribe Competition-Based Genetic Algorithm for Feature Selection in Pattern Classification.
CoRR
Benteng Ma, Yong Xia
2017 — conf
A genetic algorithm based feature selection for binary phenotype prediction using structural brain magnetic resonance imaging.
ICNC-FSKD
Benteng Ma, Yong Xia
2017 J jnl
A robust modified Gaussian mixture model with rough set for image segmentation.
Neurocomputing
Zexuan Ji, Yubo Huang, Yong Xia, Yuhui Zheng
2017 J jnl
A tribe competition-based genetic algorithm for feature selection in pattern classification.
Appl. Soft Comput.
Benteng Ma, Yong Xia
2017 J jnl
Brain voxel classification in magnetic resonance images using niche differential evolution based Bayesian inference of variational mixture of Gaussians.
Neurocomputing
Zhe Li, Yong Xia, Zexuan Ji, Yanning Zhang
2017 J jnl
Cell image segmentation using bacterial foraging optimization.
Appl. Soft Comput.
Yongsheng Pan, Yong Xia, Tao Zhou, Michael J. Fulham
2017 J jnl
Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning.
CoRR
Jianpeng Zhang, Yong Xia, Qi Wu, Yutong Xie
2017 J jnl
Convolutional Neural Networks Based Hyperspectral Image Classification Method with Adaptive Kernels.
Remote. Sens.
Chen Ding, Ying Li, Yong Xia, Wei Wei, Lei Zhang, Yanning Zhang
2017 B conf
Dictionary learning-based image compression.
ICIP
Hao Wang, Yong Xia, Zhiyong Wang
2017 J jnl
Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging.
Comput. Medical Imaging Graph.
Shen Lu, Yong Xia, Weidong Cai, Michael J. Fulham, David Dagan Feng
2017 — conf
Gradient Vector Flow Field and Fast Marching Based Method for Centerline Computation of Coronary Arteries.
IScIDE
Hengfei Cui, Yong Xia
2017 — conf
Jointly Using Deep Model Learned Features and Traditional Visual Features in a Stacked SVM for Medical Subfigure Classification.
IScIDE
Hongyu Wang, Jianpeng Zhang, Yong Xia
2017 — conf
Multi-scale Networks for Segmentation of Brain Magnetic Resonance Images.
DLMIA/ML-CDS@MICCAI
Jie Wei, Yong Xia
2017 — conf
Prostate segmentation in MR images using ensemble deep convolutional neural networks.
ISBI
Haozhe Jia, Yong Xia, Tom Weidong Cai, Michael J. Fulham, David Dagan Feng
2017 J jnl
Robust generative asymmetric GMM for brain MR image segmentation.
Comput. Methods Programs Biomed.
Zexuan Ji, Yong Xia, Yuhui Zheng
2017 C conf
Space target recognition based on deep learning.
FUSION
Haoyue Zeng, Yong Xia
2017 — conf
Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT.
MICCAI (3)
Yutong Xie, Yong Xia, Jianpeng Zhang, David Dagan Feng, Michael J. Fulham, Weidong Cai
2016 J jnl
Automated identification of dementia using medical imaging: a survey from a pattern classification perspective.
Brain Informatics
Chuanchuan Zheng, Yong Xia, Yongsheng Pan, Jinhu Chen
2016 J jnl
Brain MRI image segmentation based on learning local variational Gaussian mixture models.
Neurocomputing
Yong Xia, Zexuan Ji, Yanning Zhang
2016 J jnl
Foreground Detection With Simultaneous Dictionary Learning and Historical Pixel Maintenance.
IEEE Trans. Image Process.
Pei Dong, Shanshan Wang, Yong Xia, Dong Liang, David Dagan Feng
2016 — conf
Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features.
MCV/BAMBI@MICCAI
Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, Yong Xia
2016 J jnl
Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging.
IEEE Trans. Biomed. Eng.
Fan Zhang, Yang Song, Weidong Cai, Sidong Liu, Siqi Liu, Sonia Pujol, Ron Kikinis, Yong Xia, Michael J. Fulham, David Dagan Feng
2015 J jnl
Active contours driven by local likelihood image fitting energy for image segmentation.
Inf. Sci.
Zexuan Ji, Yong Xia, Quan-Sen Sun, Guo Cao, Qiang Chen
2015 J jnl
An iteratively reweighting algorithm for dynamic video summarization.
Multim. Tools Appl.
Pei Dong, Yong Xia, Shanshan Wang, Li Zhuo, David Dagan Feng
2015 — conf
Local Variational Bayesian Inference Using Niche Differential Evolution for Brain Magnetic Resonance Image Segmentation.
IScIDE (1)
Zhe Li, Zexuan Ji, Yong Xia
2015 A* conf
Robust saliency detection via regularized random walks ranking.
CVPR
Changyang Li, Yuchen Yuan, Weidong Cai, Yong Xia, David Dagan Feng
2015 B conf
Semi-supervised emotional classification of color images by learning from cloud.
ACII
Na Li, Yong Xia, Yuwei Xia
2015 — conf
Semi-supervised manifold learning with affinity regularization for Alzheimer's disease identification using positron emission tomography imaging.
EMBC
Shen Lu, Yong Xia, Tom Weidong Cai, David Dagan Feng
2014 J jnl
A clonal selection based approach to statistical brain voxel classification in magnetic resonance images.
Neurocomputing
Tong Zhang, Yong Xia, David Dagan Feng
2014 J jnl
Adaptive scale fuzzy local Gaussian mixture model for brain MR image segmentation.
Neurocomputing
Zexuan Ji, Yong Xia, Quan-Sen Sun, Qiang Chen, Dagan Feng
2014 B conf
Demographic information prediction based on smartphone application usage.
SMARTCOMP
Zhen Qin, Yilei Wang, Yong Xia, Hongrong Cheng, Yingjie Zhou, Zhengguo Sheng, Victor C. M. Leung
2014 J jnl
Hidden Markov random field model based brain MR image segmentation using clonal selection algorithm and Markov chain Monte Carlo method.
Biomed. Signal Process. Control.
Tong Zhang, Yong Xia, David Dagan Feng
2014 J jnl
Interval-valued possibilistic fuzzy C-means clustering algorithm.
Fuzzy Sets Syst.
Zexuan Ji, Yong Xia, Quan-Sen Sun, Guo Cao
2014 — conf
Learning large number of local statistical models via variational Bayesian inference for brain voxel classification in magnetic resonance images.
SPAC
Yong Xia, Yanning Zhang
2014 C conf
Non-sparse infinite-kernel learning for automated identification of Alzheimer's disease using PET imaging.
ICARCV
Yong Xia, Shen Lu, Wei Wei, David Dagan Feng, Yanning Zhang
2013 J jnl
Dictionary learning based impulse noise removal via L1-L1 minimization.
Signal Process.
Shanshan Wang, Qiegen Liu, Yong Xia, Pei Dong, Jianhua Luo, Qiu Huang, David Dagan Feng
2013 J jnl
Discriminative two-level feature selection for realistic human action recognition.
J. Vis. Commun. Image Represent.
Qiuxia Wu, Zhiyong Wang, Feiqi Deng, Yong Xia, Wenxiong Kang, David Dagan Feng
2013 J jnl
Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images.
IEEE Trans. Image Process.
Shanshan Wang, Yong Xia, Qiegen Liu, Pei Dong, David Dagan Feng, Jianhua Luo
2013 — conf
Magnetic resonance image restoration via dictionary learning under spatially adaptive constraints.
EMBC
Shanshan Wang, Yong Xia, Pei Dong, David Dagan Feng, Jianhua Luo, Qiu Huang
2013 J jnl
Multi-pose 3D face recognition based on 2D sparse representation.
J. Vis. Commun. Image Represent.
Zhe Guo, Yanning Zhang, Yong Xia, Zenggang Lin, Yangyu Fan, David Dagan Feng
2012 J jnl
2D representation of facial surfaces for multi-pose 3D face recognition.
Pattern Recognit. Lett.
Yanning Zhang, Zhe Guo, Yong Xia, Zenggang Lin, David Dagan Feng
2012 — conf
A deformable cosegmentation algorithm for brain MR images.
EMBC
Tong Zhang, Yong Xia, David Dagan Feng
2012 J jnl
Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas.
Comput. Methods Programs Biomed.
Changyang Li, Xiuying Wang, Yong Xia, Stefan Eberl, Yong Yin, David Dagan Feng
2012 J jnl
Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information.
Comput. Medical Imaging Graph.
Yong Xia, Stefan Eberl, Lingfeng Wen, Michael J. Fulham, David Dagan Feng
2012 J jnl
Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation.
IEEE Trans. Inf. Technol. Biomed.
Zexuan Ji, Yong Xia, Quan-Sen Sun, Qiang Chen, De-Shen Xia, David Dagan Feng
2012 J jnl
Fuzzy c-means clustering with weighted image patch for image segmentation.
Appl. Soft Comput.
Zexuan Ji, Yong Xia, Qiang Chen, Quan-Sen Sun, De-Shen Xia, David Dagan Feng
2012 — conf
GARDEN: Generic Addressing and Routing for Data Center Networks.
IEEE CLOUD
Yan Hu, Ming Zhu, Yong Xia, Kai Chen, Yanlin Luo
2012 J jnl
Gabor feature based nonlocal means filter for textured image denoising.
J. Vis. Commun. Image Represent.
Shanshan Wang, Yong Xia, Qiegen Liu, Jianhua Luo, Yuemin Zhu, David Dagan Feng
2012 J jnl
Generalized rough fuzzy c-means algorithm for brain MR image segmentation.
Comput. Methods Programs Biomed.
Zexuan Ji, Quan-Sen Sun, Yong Xia, Qiang Chen, De-Shen Xia, Dagan Feng
2012 A conf
Real-Time Storyboard Generation for H.264/AVC Compressed Videos.
ICME
Pei Dong, Yong Xia, David Dagan Feng
2011 J jnl
Airway segmentation for low-contrast CT images from combined PET/CT scanners based on airway modelling and seed prediction.
Biomed. Signal Process. Control.
Xiuying Wang, Chaoqun Fang, Yong Xia, Dagan Feng
2011 — conf
Brain tissue segmentation in PET-CT images using probabilistic atlas and variational Bayes inference.
EMBC
Yong Xia, Jiabin Wang, Stefan Eberl, Michael J. Fulham, David Dagan Feng
2011 — conf
Clonal Selection Algorithm for Gaussian Mixture Model Based Segmentation of 3D Brain MR Images.
IScIDE
Tong Zhang, Yong Xia, David Dagan Feng
2011 Misc conf
Differential Evolution Based Variational Bayes Inference for Brain PET-CT Image Segmentation.
DICTA
Jiabin Wang, Yong Xia, David Dagan Feng
2011 — conf
GA and AdaBoost-Based Feature Selection and Combination for Automated Identification of Dementia Using FDG-PET Imaging.
IScIDE
Yong Xia, Zhe Zhang, Lingfeng Wen, Pei Dong, David Dagan Feng
2011 J jnl
Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation.
IEEE Trans. Inf. Technol. Biomed.
Guangjian Tian, Yong Xia, Yanning Zhang, David Dagan Feng
2011 — conf
Local Gaussian Distribution Fitting Based FCM Algorithm for Brain MR Image Segmentation.
IScIDE
Zexuan Ji, Yong Xia, Quan-Sen Sun, De-Shen Xia, David Dagan Feng
2011 — conf
QoS-Enabled Dynamic Resource Management in Multi-Cell OFDMA-Based Systems.
VTC Spring
Su Yi, Gang Wang, Yong Xia
2011 B conf
Real-time moving object segmentation and tracking for H.264/AVC surveillance videos.
ICIP
Pei Dong, Yong Xia, Li Zhuo, David Dagan Feng
2011 B conf
Scalable data center multicast using multi-class Bloom Filter.
ICNP
Dan Li, Henggang Cui, Yan Hu, Yong Xia, Xin Wang
2011 Misc conf
Variational Bayes Inference Based Segmentation of Heterogeneous Lymphoma Volumes in Dual-Modality PET-CT Images.
DICTA
Jiyong Wang, Yong Xia, Jiabin Wang, David Dagan Feng
2010 Misc conf
3D face representation and recognition by Intrinsic Shape Description Maps.
ICASSP
Zhe Guo, Yanning Zhang, Yong Xia, Zenggang Lin, David Dagan Feng
2010 Misc conf
Automated Detection of the Occurrence and Changes of Hot-Spots in Intro-subject FDG-PET Images from Combined PET-CT Scanners.
DICTA
Jiyong Wang, David Dagan Feng, Yong Xia
2010 B conf
Dual-modality 3D brain PET-CT image segmentation based on probabilistic brain atlas and classification fusion.
ICIP
Yong Xia, Stefan Eberl, David Dagan Feng
2010 J jnl
Multifractal signature estimation for textured image segmentation.
Pattern Recognit. Lett.
Yong Xia, David Dagan Feng, Rongchun Zhao, Yanning Zhang
2009 Misc conf
A General Image Segmentation Model and its Application.
ICIG
Yong Xia, David Dagan Feng
2009 B conf
Segmentation of brain PET-CT images based on adaptive use of complementary information.
Image Processing
Yong Xia, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, Dagan Feng
2008 C conf
Segmentation of dual modality brain PET/CT images using the MAP-MRF model.
MMSP
Yong Xia, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng
2007 J jnl
Image segmentation by clustering of spatial patterns.
Pattern Recognit. Lett.
Yong Xia, David Dagan Feng, Tianjiao Wang, Rongchun Zhao, Yanning Zhang
2006 J jnl
Adaptive Segmentation of Textured Images by Using the Coupled Markov Random Field Model.
IEEE Trans. Image Process.
Yong Xia, David Dagan Feng, Rongchun Zhao
2006 J jnl
Morphology-based multifractal estimation for texture segmentation.
IEEE Trans. Image Process.
Yong Xia, David Dagan Feng, Rongchun Zhao
2006 — conf
Texture Segmentation by Fuzzy Clustering of Spatial Patterns.
FSKD
Yong Xia, Rongchun Zhao, Yanning Zhang, Jian Sun, David Dagan Feng
2005 J jnl
Learning-based algorithm selection for image segmentation.
Pattern Recognit. Lett.
Yong Xia, David Dagan Feng, Rongchun Zhao, Maria Petrou
2003 — conf
Optimal Selection of Image Segmentation Algorithms Based on Performance Prediction.
VIP
Yong Xia, David Dagan Feng, Rongchun Zhao