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One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation

IEEE Transactions on Image Processing (TIP), 2019

5 June 2019

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Papers citing "One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation"

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Title
CCSD: Cross-Modal Compositional Self-Distillation for Robust Brain Tumor Segmentation with Missing Modalities Dongqing Xie Y. Wu Zisheng Ai Jun Min Zhencun Jiang Shaojin Geng Lei Wang 65 0 0 18 Nov 2025
Multimodal Fusion at Three Tiers: Physics-Driven Data Generation and Vision-Language Guidance for Brain Tumor Segmentation Mingda Zhang 220 1 0 14 Jul 2025
multiPI-TransBTS: A Multi-Path Learning Framework for Brain Tumor Image Segmentation Based on Multi-Physical Information Hongjun Zhu Jiaohang Huang Kuo Chen Xuehui Ying Ying Qian MedIm 132 5 0 18 Sep 2024
Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing ModalitiesEuropean Conference on Artificial Intelligence (ECAI), 2024 Zheyu Zhang Xinzhao Liu Zheng Chen Yueyi Zhang Huanjing Yue Yunwei Ou Xiaoyan Sun 163 2 0 25 Aug 2024
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions Huajun Zhou Fengtao Zhou Chenyu Zhao Yingxue Xu Luyang Luo Hao Chen 264 18 0 28 Jun 2024
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities Felix Wagner Wentian Xu Pramit Saha Ziyun Liang Daniel Whitehouse David Menon Virginia Newcombe Natalie Voets J. A. Noble Konstantinos Kamnitsas 259 5 0 17 Jun 2024
Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2024 Qian Dai Dong Wei Hong Liu Jinghan Sun Liansheng Wang Yefeng Zheng 150 9 0 18 Mar 2024
Complementary Information Mutual Learning for Multimodality Medical Image Segmentation Chuyun Shen Wenhao Li Haoqing Chen Xiaoling Wang Fengping Zhu Yuxin Li Xiangfeng Wang Bo Jin 180 3 0 05 Jan 2024
Multi-task Collaborative Pre-training and Individual-adaptive-tokens Fine-tuning: A Unified Framework for Brain Representation Learning Ning Jiang Gongshu Wang Tianyi Yan CLL 140 0 0 20 Jun 2023
Attention Mechanisms in Medical Image Segmentation: A Survey Yutong Xie Bing Yang Qi Guan Jianpeng Zhang Qi Wu Yong-quan Xia ViT MedIm 187 35 0 29 May 2023
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement LearningIEEE Transactions on Medical Imaging (TMI), 2020 Chaofan Ma Qisen Xu Xiangfeng Wang Bo Jin Xiaoyun Zhang Yanfeng Wang Ya Zhang 231 25 0 19 Mar 2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing ModalitiesAAAI Conference on Artificial Intelligence (AAAI), 2023 Hong Liu Dong Wei Donghuan Lu J. Sun Liansheng Wang Yefeng Zheng 195 75 0 09 Mar 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor SegmentationIEEE International Conference on Computer Vision (ICCV), 2023 Aishik Konwer Xiaoling Hu Joseph Bae Xuanang Xu Chaoyu Chen Prateek Prasanna 164 22 0 08 Feb 2023
Learning from partially labeled data for multi-organ and tumor segmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Yutong Xie Jianpeng Zhang Yong-quan Xia Chunhua Shen MedIm ViT 135 35 0 13 Nov 2022
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor SegmentationIEEE Transactions on Medical Imaging (IEEE TMI), 2022 Jianwei Lin Jiatai Lin Chenghao Lu Hao Chen Huan Lin ... Biao Huang C. Liang Guoqiang Han Zaiyi Liu Chu Han MedIm 178 123 0 15 Jul 2022
Category Guided Attention Network for Brain Tumor Segmentation in MRIPhysics in Medicine and Biology (PMB), 2022 Jiangyun Li Hong Yu Chen Chen Meng Ding Sen Zha 129 17 0 29 Mar 2022
ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation Wenbo Zhang Guang Yang He Huang Weiji Yang Xiaomei Xu Yongkai Liu Xiaobo Lai 137 114 0 21 Mar 2022
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities Tongxue Zhou S. Canu P. Vera S. Ruan MedIm 170 50 0 08 Nov 2021
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey S. Niyas S. Pawan Anand Kumar Jeny Rajan MedIm 193 114 0 19 Aug 2021
3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation FrameworkBMC Medical Imaging (BMC Med Imaging), 2021 Xi Guan Guang Yang Jianming Ye Weiji Yang Xiaomei Xu Weiwei Jiang Xiaobo Lai 127 130 0 26 Jul 2021
CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation Andre Liew C. Lee B. Lan Maxine Tan 102 14 0 08 Jul 2021
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI ModalitiesIEEE Transactions on Image Processing (TIP), 2021 Tongxue Zhou S. Canu P. Vera S. Ruan 184 171 0 13 Apr 2021
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A ReviewJournal of Applied Clinical Medical Physics (JACMP), 2021 Mingquan Lin Jacob F. Wynne Y. Lei Tonghe Wang W. Curran Tian Liu Xiaofeng Yang 178 26 0 25 Mar 2021
Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic ReviewJournal of Imaging (J. Imaging), 2021 Juan Miguel Valverde Vandad Imani A. Abdollahzadeh Riccardo De Feo M. Prakash Robert Ciszek Jussi Tohka OOD 247 106 0 02 Feb 2021
A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & SegmentationInternational Conference on Pattern Recognition (ICPR), 2020 Ngan Le Kashu Yamazaki Dat T. Truong Kha Gia Quach Marios Savvides MedIm 105 21 0 03 Dec 2020
Inter-slice Context Residual Learning for 3D Medical Image SegmentationIEEE Transactions on Medical Imaging (TMI), 2020 Jianpeng Zhang Yutong Xie Yan Wang Yong-quan Xia SSeg MedIm 169 112 0 28 Nov 2020
Deep Learning Based Brain Tumor Segmentation: A SurveyComplex & Intelligent Systems (CIS), 2020 Zhihua Liu Lei Tong Zheheng Jiang Long Chen Feixiang Zhou Qianni Zhang Xiangrong Zhang Ling Li Huiyu Zhou 3DV 247 285 0 18 Jul 2020
3D Deep Learning on Medical Images: A ReviewItalian National Conference on Sensors (INS), 2020 S. Singh Lipo Wang Sukrit Gupta Haveesh Goli P. Padmanabhan Balázs Gulyás MedIm 437 513 0 01 Apr 2020