Yong Xia

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 95

Top Topics

Magnetic Resonance

Domain Adaptation

Tumor Segmentation

Top Venues

IEEE Trans. Medical Imaging

Medical Image Anal.

Comput. Biol. Medicine

Publications

Yutong Xie, Jianpeng Zhang, Lingqiao Liu, Hu Wang, Yiwen Ye, Johan Verjans, Yong Xia
ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. Medical Image Anal. 91 (2024)
Yutong Xie, Qi Chen, Sinuo Wang, Minh-Son To, Iris Lee, Ee Win Khoo, Kerolos Hendy, Daniel Koh, Yong Xia, Qi Wu
PairAug: What Can Augmented Image-Text Pairs Do for Radiology? CoRR (2024)
Zehui Liao, Shishuai Hu, Yong Xia
Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification. CoRR (2024)
Geng Chen, Junqing Yang, Xiaozhou Pu, Ge-Peng Ji, Huan Xiong, Yongsheng Pan, Hengfei Cui, Yong Xia
MAST: Video Polyp Segmentation with a Mixture-Attention Siamese Transformer. CoRR (2024)
Benteng Ma, Yanning Zhang, Yong Xia
Momentum recursive DARTS. Pattern Recognit. 156 (2024)
Geng Chen, Huazhu Fu, Tao Zhou, Guobao Xiao, Keren Fu, Yong Xia, Yanning Zhang
Fusion-Embedding Siamese Network for Light Field Salient Object Detection. IEEE Trans. Multim. 26 (2024)
Shishuai Hu, Zehui Liao, Zeyou Liu, Yong Xia
Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation. CoRR (2024)
Yuanyuan Chen, Xiaoqing Guo, Yong Xia, Yixuan Yuan
Disentangle Then Calibrate With Gradient Guidance: A Unified Framework for Common and Rare Disease Diagnosis. IEEE Trans. Medical Imaging 43 (5) (2024)
Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia
Modeling annotator preference and stochastic annotation error for medical image segmentation. Medical Image Anal. 92 (2024)
Hongyu Wang, Jiang He, Hengfei Cui, Bo Yuan, Yong Xia
Robust Stochastic Neural Ensemble Learning With Noisy Labels for Thoracic Disease Classification. IEEE Trans. Medical Imaging 43 (6) (2024)
Qingjie Zeng, Yutong Xie, Zilin Lu, Yong Xia
A human-in-the-loop method for pulmonary nodule detection in CT scans. Vis. Intell. 2 (1) (2024)
Hengfei Cui, Yan Li, Yifan Wang, Di Xu, Lianming Wu, Yong Xia
Toward Accurate Cardiac MRI Segmentation With Variational Autoencoder-Based Unsupervised Domain Adaptation. IEEE Trans. Medical Imaging 43 (8) (2024)
Wenxi Yue, Jing Zhang, Kun Hu, Yong Xia, Jiebo Luo, Zhiyong Wang
SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation. AAAI (2024)
Shishuai Hu, Zehui Liao, Yong Xia
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation. CoRR (2023)
Ziyang Chen, Yongsheng Pan, Yiwen Ye, Hengfei Cui, Yong Xia
Treasure in Distribution: A Domain Randomization Based Multi-source Domain Generalization for 2D Medical Image Segmentation. MICCAI (4) (2023)
Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia
Transformer-Based Annotation Bias-Aware Medical Image Segmentation. MICCAI (4) (2023)
Junqing Yang, Haotian Jiang, Tewodros Tassew, Peng Sun, Jiquan Ma, Yong Xia, Pew-Thian Yap, Geng Chen
Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer. MICCAI (8) (2023)
Xiaoyu Bai, Yong Xia
An End-to-End Framework For Universal Lesion Detection With Missing Annotations. CoRR (2023)
Qingjie Zeng, Yutong Xie, Zilin Lu, Yong Xia
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training. CVPR (2023)
Xiaoyu Bai, Fan Bai, Xiaofei Huo, Jia Ge, Jingjing Lu, Xianghua Ye, Ke Yan, Yong Xia
SAMv2: A Unified Framework for Learning Appearance, Semantic and Cross-Modality Anatomical Embeddings. CoRR (2023)
Jiayi Chen, Benteng Ma, Hengfei Cui, Yong Xia, Kwang-Ting Cheng
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts. CoRR (2023)
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 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 Weight
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT. CoRR (2023)
Zhe Li, Yuming Jiang, Leon Liu, Yong Xia, Ruijiang Li
Single-Cell Spatial Analysis of Histopathology Images for Survival Prediction via Graph Attention Network. AMAI@MICCAI (2023)
Wenxi Yue, Jing Zhang, Kun Hu, Yong Xia, Jiebo Luo, Zhiyong Wang
SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation. CoRR (2023)
Shishuai Hu, Zehui Liao, Jianpeng Zhang, Yong Xia
Domain and Content Adaptive Convolution Based Multi-Source Domain Generalization for Medical Image Segmentation. IEEE Trans. Medical Imaging 42 (1) (2023)
Yuanyuan Chen, Xiaoqing Guo, Yongsheng Pan, Yong Xia, Yixuan Yuan
Dynamic feature splicing for few-shot rare disease diagnosis. Medical Image Anal. 90 (2023)
Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Comput. Biol. Medicine 155 (2023)
Xianze Ai, Zehui Liao, Yong Xia
URL: Combating Label Noise for Lung Nodule Malignancy Grading. CoRR (2023)
Qingjie Zeng, Yutong Xie, Zilin Lu, Mengkang Lu, Yicheng Wu, Yong Xia
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation. CoRR (2023)
Ibtihaj Ahmad, Yong Xia, Hengfei Cui, Zain Ul Islam
DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditions. Expert Syst. Appl. 213 (Part C) (2023)
Xianze Ai, Zehui Liao, Yong Xia
URL: Combating Label Noise for Lung Nodule Malignancy Grading. DALI@MICCAI (2023)
Hongyu Wang, Yong Xia
Domain-ensemble learning with cross-domain mixup for thoracic disease classification in unseen domains. Biomed. Signal Process. Control. 81 (2023)
Ziyang Chen, Yiwen Ye, Mengkang Lu, Yongsheng Pan, Yong Xia
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation. CoRR (2023)
Qingjie Zeng, Yutong Xie, Zilin Lu, Mengkang Lu, Yong Xia
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation. CoRR (2023)
Benteng Ma, Jing Zhang, Yong Xia, Dacheng Tao
Inter-layer transition in neural architecture search. Pattern Recognit. 143 (2023)
Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu
MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking. MICCAI (1) (2023)
Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia
Transformer-based Annotation Bias-aware Medical Image Segmentation. CoRR (2023)
Shishuai Hu, Zehui Liao, Yong Xia
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation. MICCAI (4) (2023)
Zhe Li, Yuming Jiang, Mengkang Lu, Ruijiang Li, Yong Xia
Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution. IEEE Trans. Medical Imaging 42 (9) (2023)
Ibtihaj Ahmad, Yong Xia, Hengfei Cui, Zain Ul Islam
AATSN: Anatomy Aware Tumor Segmentation Network for PET-CT volumes and images using a lightweight fusion-attention mechanism. Comput. Biol. Medicine 157 (2023)
Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen
Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Yongsheng Pan, Feihong Liu, Caiwen Jiang, Jiawei Huang, Yong Xia, Dinggang Shen
Revealing Anatomical Structures in PET to Generate CT for Attenuation Correction. MICCAI (10) (2023)
Qinfen Wang, Geng Chen, Xuting Jin, Siyuan Ren, Gang Wang, Longbing Cao, Yong Xia
BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series. Comput. Biol. Medicine 155 (2023)
Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia
UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner. MICCAI (3) (2023)
Xiaoyu Bai, Yong Xia
SAM++: Enhancing Anatomic Matching using Semantic Information and Structural Inference. CoRR (2023)
Ziyang Chen, Yongsheng Pan, Yong Xia
Reconstruction-Driven Dynamic Refinement Based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Jingxuan Wang, Jinqiu Sun, Yong Xia, Yanning Zhang
Hyperspectral anomaly detection via weighted-sparsity-regularized tensor linear representation. IET Image Process. 17 (4) (2023)
Wenxi Yue, Hongen Liao, Yong Xia, Vincent Lam, Jiebo Luo, Zhiyong Wang
Cascade Multi-Level Transformer Network for Surgical Workflow Analysis. IEEE Trans. Medical Imaging 42 (10) (2023)
Xiaoyu Bai, Benteng Ma, Changyang Li, Yong Xia
Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training. CoRR (2023)
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
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. CoRR (2023)
Shaoteng Zhang, Jianpeng Zhang, Yutong Xie, Yong Xia
TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation. MICCAI (1) (2023)
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
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 87 (2023)
Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner. CoRR (2023)
Mengkang Lu, Tianyi Wang, Yong Xia
Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis. MICCAI (6) (2023)
Zheng Yu, Yutong Xie, Yong Xia, Qi Wu
PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
Yaxin Chen, Benteng Ma, Yong Xia
Adaptive decoder-block selection with filter reweighting for medical image segmentation. Biomed. Signal Process. Control. 85 (2023)
Xinke Ma, Jiang He, Xing Liu, Qin Liu, Geng Chen, Bo Yuan, Changyang Li, Yong Xia
Hierarchical cumulative network for unsupervised medical image registration. Comput. Biol. Medicine 167 (2023)
Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Qi Wu, Yong Xia
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning. CoRR (2023)
Yutong Xie, Bing Yang, Qingbiao Guan, Jianpeng Zhang, Qi Wu, Yong Xia
Attention Mechanisms in Medical Image Segmentation: A Survey. CoRR (2023)
Ziyang Chen, Yongsheng Pan, Yong Xia
Reconstruction-driven Dynamic Refinement based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation. CoRR (2023)
Yuanyuan Chen, Yongsheng Pan, Yong Xia, Yixuan Yuan
Disentangle First, Then Distill: A Unified Framework for Missing Modality Imputation and Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 42 (12) (2023)
Ziyang Chen, Yongsheng Pan, Yiwen Ye, Hengfei Cui, Yong Xia
Treasure in Distribution: A Domain Randomization based Multi-Source Domain Generalization for 2D Medical Image Segmentation. CoRR (2023)
Hengfei Cui, Yifan Wang, Yan Li, Di Xu, Lei Jiang, Yong Xia, Yanning Zhang
An Improved Combination of Faster R-CNN and U-Net Network for Accurate Multi-Modality Whole Heart Segmentation. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Benteng Ma, Yu Feng, Geng Chen, Changyang Li, Yong Xia
Federated adaptive reweighting for medical image classification. Pattern Recognit. 144 (2023)
Qingbiao Guan, Yutong Xie, Bing Yang, Jianpeng Zhang, Zhibin Liao, Qi Wu, Yong Xia
Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images. MICCAI (3) (2023)
Xinke Ma, Hengfei Cui, Shuoyan Li, Yibo Yang, Yong Xia
Deformable medical image registration with global-local transformation network and region similarity constraint. Comput. Medical Imaging Graph. 108 (2023)
Wenxi Yue, Jing Zhang, Kun Hu, Qiuxia Wu, Zongyuan Ge, Yong Xia, Jiebo Luo, Zhiyong Wang
Part to Whole: Collaborative Prompting for Surgical Instrument Segmentation. CoRR (2023)
Lei Jiang, Yan Li, Yifan Wang, Hengfei Cui, Yong Xia, Yanning Zhang
Deep U-Net Architecture with Curriculum Learning for Left Atrial Segmentation. LAScarQS@MICCAI (2022)
Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen
Learning from partially labeled data for multi-organ and tumor segmentation. CoRR (2022)
Yutong Xie, Jianpeng Zhang, Yong Xia, Anton van den Hengel, Qi Wu
ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers. CoRR (2022)
Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia
Learning From Ambiguous Labels for Lung Nodule Malignancy Prediction. IEEE Trans. Medical Imaging 41 (7) (2022)
Hengfei Cui, Yan Li, Lei Jiang, Yifan Wang, Yong Xia, Yanning Zhang
Improving myocardial pathology segmentation with U-Net++ and EfficientSeg from multi-sequence cardiac magnetic resonance images. Comput. Biol. Medicine 151 (Part) (2022)
Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia
Instance-specific Label Distribution Regularization for Learning with Label Noise. CoRR (2022)
Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia
Learning multi-scale synergic discriminative features for prostate image segmentation. Pattern Recognit. 126 (2022)
Shishuai Hu, Zehui Liao, Yong Xia
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation. CoRR (2022)
Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu
UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier. ECCV (21) (2022)
Jie Wei, Zhengwang Wu, Li Wang, Toan Duc Bui, Liangqiong Qu, Pew-Thian Yap, Yong Xia, Gang Li, Dinggang Shen
A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. Pattern Recognit. 124 (2022)
Shishuai Hu, Zehui Liao, Yong Xia
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis. CoRR (2022)
Zilin Lu, Mengkang Lu, Yong Xia
$\mathrm {M^{2}F}$: A Multi-modal and Multi-task Fusion Network for Glioma Diagnosis and Prognosis. MMMI@MICCAI (2022)
Jingxuan Wang, Jinqiu Sun, Yu Zhu, Yong Xia, Yanning Zhang
Matrix Autoregressive Model for Hyperspectral Anomaly Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Yicheng Wu, Zongyuan Ge, Donghao Zhang, Minfeng Xu, Lei Zhang, Yong Xia, Jianfei Cai
Mutual consistency learning for semi-supervised medical image segmentation. Medical Image Anal. 81 (2022)
Shishuai Hu, Zehui Liao, Yiwen Ye, Yong Xia
Boundary-Aware Network for Kidney Parsing. CuRIOUS/KiPA/MELA@MICCAI (2022)
Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sanchez-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
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. Medical Image Anal. 82 (2022)
Hengfei Cui, Lei Jiang, Chang Yuwen, Yong Xia, Yanning Zhang
Deep U-Net architecture with curriculum learning for myocardial pathology segmentation in multi-sequence cardiac magnetic resonance images. Knowl. Based Syst. 249 (2022)
Shishuai Hu, Yiwen Ye, Zehui Liao, Yong Xia
Boundary-Aware Network for Kidney Parsing. CoRR (2022)
Yiwen Ye, Chengwei Pan, Yicheng Wu, Shuqi Wang, Yong Xia
MFI-Net: Multiscale Feature Interaction Network for Retinal Vessel Segmentation. IEEE J. Biomed. Health Informatics 26 (9) (2022)
Yiwen Ye, Jianpeng Zhang, Ziyang Chen, Yong Xia
DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation. MICCAI (4) (2022)
Yongsheng Pan, Ming-Xia Liu, Yong Xia, Dinggang Shen
Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Shishuai Hu, Zehui Liao, Yong Xia
Domain Specific Convolution and High Frequency Reconstruction Based Unsupervised Domain Adaptation for Medical Image Segmentation. MICCAI (8) (2022)
Huimin Zhao, Zhenyu Fang, Jinchang Ren, Calum MacLellan, Yong Xia, Shuo Li, Meijun Sun, Kevin Ren
SC2Net: A Novel Segmentation-Based Classification Network for Detection of COVID-19 in Chest X-Ray Images. IEEE J. Biomed. Health Informatics 26 (8) (2022)
Shishuai Hu, Zehui Liao, Yong Xia
Boundary-Aware Network for Abdominal Multi-Organ Segmentation. CoRR (2022)
Yan Hu, Erik Meijering, Yong Xia, Yang Song
Deformable Convolution and Semi-supervised Learning in Point Clouds for Aneurysm Classification and Segmentation. ICONIP (6) (2021)
Xi Yang, Jianpeng Zhang, Jing Zhang, Yong Xia
Transfer Learning for KiTS21 Challenge. KiTS@MICCAI (2021)
Mengkang Lu, Yongsheng Pan, Dong Nie, Feihong Liu, Feng Shi, Yong Xia, Dinggang Shen
SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images. COMPAY@MICCAI (2021)
Haozhe Jia, Chao Bai, Weidong Cai, Heng Huang, Yong Xia
HNF-Netv2 for Brain Tumor Segmentation Using Multi-modal MR Imaging. BrainLes@MICCAI (2) (2021)