default search action
24th MICCAI 2021: Strasbourg, France - Part I
- Marleen de Bruijne
, Philippe C. Cattin
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12901, Springer 2021, ISBN 978-3-030-87192-5
Image Segmentation
- Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, Xiu Li:
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. 3-13 - Yundong Zhang, Huiye Liu, Qiang Hu:
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation. 14-24 - Yucheng Tang, Riqiang Gao, Ho Hin Lee, Qi Yang, Xin Yu
Pancreas CT Segmentation by Predictive Phenotyping. 25-35 - Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, Vishal M. Patel:
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation. 36-46 - Bo Zhou
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-Truth. 47-56 - Yuqian Zhou, Hanchao Yu, Humphrey Shi
Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels. 57-67 - Yue Zhang, Chengtao Peng, Liying Peng, Huimin Huang, Ruofeng Tong, Lanfen Lin, Jingsong Li
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting. 68-77 - Davood Karimi, Serge Vasylechko, Ali Gholipour:
Convolution-Free Medical Image Segmentation Using Transformers. 78-88 - Jie Wei
Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks. 89-98 - Yinglin Zhang
A Multi-branch Hybrid Transformer Network for Corneal Endothelial Cell Segmentation. 99-108 - Wenxuan Wang, Chen Chen, Meng Ding, Hong Yu, Sen Zha, Jiangyun Li:
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer. 109-119 - Xiaoqi Zhao, Lihe Zhang, Huchuan Lu:
Automatic Polyp Segmentation via Multi-scale Subtraction Network. 120-130 - Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance. 131-141 - Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan
Progressively Normalized Self-Attention Network for Video Polyp Segmentation. 142-152 - Zimeng Tan, Jianjiang Feng, Jie Zhou:
SGNet: Structure-Aware Graph-Based Network for Airway Semantic Segmentation. 153-163 - Zudi Lin
NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale. 164-174 - Donglai Wei, Kisuk Lee, Hanyu Li
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. 175-185 - Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye:
Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects. 186-195 - Xinru Zhang, Chenghao Liu, Ni Ou
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation. 196-205 - Jiacheng Wang
Boundary-Aware Transformers for Skin Lesion Segmentation. 206-216 - Jiaqi Yang
A Topological-Attention ConvLSTM Network and Its Application to EM Images. 217-228 - Xinyi Wang
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. 229-238 - Arnaud Boutillon
Multi-task, Multi-domain Deep Segmentation with Shared Representations and Contrastive Regularization for Sparse Pediatric Datasets. 239-249 - Madeleine K. Wyburd, Nicola K. Dinsdale, Ana I. L. Namburete
TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations. 250-260 - Lei Li, Sheng Lian, Zhiming Luo, Shaozi Li, Beizhan Wang, Shuo Li
Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation. 261-270 - Yanyu Xu
Partially-Supervised Learning for Vessel Segmentation in Ocular Images. 271-281 - Liang Han, Zhaozheng Yin
Unsupervised Network Learning for Cell Segmentation. 282-292 - Ziyuan Zhao
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels. 293-303 - Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers:
Context-Aware Virtual Adversarial Training for Anatomically-Plausible Segmentation. 304-314 - Helena Williams
Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces. 315-325 - Yuanfeng Ji, Ruimao Zhang
Multi-compound Transformer for Accurate Biomedical Image Segmentation. 326-336 - Pengfei Gu, Hao Zheng
kCBAC-Net: Deeply Supervised Complete Bipartite Networks with Asymmetric Convolutions for Medical Image Segmentation. 337-347 - Shawn S. Ahn
Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography. 348-357 - Qiankun Ma, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang:
Coarse-To-Fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy. 358-368 - Hongwei Zhang, Dong Zhang, Zhifan Gao
Joint Segmentation and Quantification of Main Coronary Vessels Using Dual-Branch Multi-scale Attention Network. 369-378 - Euijoon Ahn
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation. 379-388 - Jingyang Zhang, Ran Gu, Guotai Wang
Comprehensive Importance-Based Selective Regularization for Continual Segmentation Across Multiple Sites. 389-399 - Miika Toikkanen, Doyoung Kwon, Minho Lee:
ReSGAN: Intracranial Hemorrhage Segmentation with Residuals of Synthetic Brain CT Scans. 400-409 - Hao Zheng, Yulei Qin
Refined Local-imbalance-based Weight for Airway Segmentation in CT. 410-419 - Youyi Song, Lequan Yu
Selective Learning from External Data for CT Image Segmentation. 420-430 - Dmitrii A. Lachinov
Projective Skip-Connections for Segmentation Along a Subset of Dimensions in Retinal OCT. 431-441 - Ziqi Yu, Yuting Zhai, Xiaoyang Han, Tingying Peng, Xiao-Yong Zhang:
MouseGAN: GAN-Based Multiple MRI Modalities Synthesis and Segmentation for Mouse Brain Structures. 442-450 - Zhendong Liu, Manh The Van, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Víctor M. Campello
Style Curriculum Learning for Robust Medical Image Segmentation. 451-460 - Yukun Ding, Dewen Zeng, Mingqi Li, Hongwen Fei, Haiyun Yuan, Meiping Huang, Jian Zhuang, Yiyu Shi:
Towards Efficient Human-Machine Collaboration: Real-Time Correction Effort Prediction for Ultrasound Data Acquisition. 461-470 - Ke Wang, Shujun Liang, Yu Zhang:
Residual Feedback Network for Breast Lesion Segmentation in Ultrasound Image. 471-481 - Yukun Zhou
Learning to Address Intra-segment Misclassification in Retinal Imaging. 482-492 - Yuhao Huang
Flip Learning: Erase to Segment. 493-502 - Rongtao Xu, Changwei Wang, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang:
DC-Net: Dual Context Network for 2D Medical Image Segmentation. 503-513 - Dewei Hu, Can Cui, Hao Li, Kathleen E. Larson
LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation. 514-524 - Shuailin Li, Zhitong Gao, Xuming He:
Superpixel-Guided Iterative Learning from Noisy Labels for Medical Image Segmentation. 525-535 - Mingyan Qiu, Chenxi Zhang, Zhijian Song:
A Hybrid Attention Ensemble Framework for Zonal Prostate Segmentation. 536-547 - Tan Nguyen, Binh-Son Hua, Ngan Le
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation. 548-558 - Yantao Shen, Xiao Jia, Max Q.-H. Meng:
HRENet: A Hard Region Enhancement Network for Polyp Segmentation. 559-568 - Zijie Chen, Cheng Li, Junjun He, Jin Ye, Diping Song, Shanshan Wang
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images. 569-578 - Jiawei Yang, Yao Zhang, Yuan Liang, Yang Zhang, Lei He, Zhiqiang He:
TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation. 579-588 - Yao Zhang
Modality-Aware Mutual Learning for Multi-modal Medical Image Segmentation. 589-599 - Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante:
Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation. 600-610 - Jiancheng Yang
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans. 611-621 - Hao Zheng
Hierarchical Self-supervised Learning for Medical Image Segmentation Based on Multi-domain Data Aggregation. 622-632 - Tan-Cong Nguyen, Tien-Phat Nguyen, Gia-Han Diep, Anh-Huy Tran-Dinh, Tam V. Nguyen
CCBANet: Cascading Context and Balancing Attention for Polyp Segmentation. 633-643 - Ngoc-Vuong Ho, Tan Nguyen, Gia-Han Diep, Ngan Le
Point-Unet: A Context-Aware Point-Based Neural Network for Volumetric Segmentation. 644-655 - Atefeh Shahroudnejad, Xuebin Qin
TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection. 656-667 - Jialin Shi, Ji Wu:
Distilling Effective Supervision for Robust Medical Image Segmentation with Noisy Labels. 668-677 - Teodora Popordanoska, Jeroen Bertels
On the Relationship Between Calibrated Predictors and Unbiased Volume Estimation. 678-688 - Federico Turella, Gustav Bredell, Alexander Okupnik, Sebastiano Caprara
High-Resolution Segmentation of Lumbar Vertebrae from Conventional Thick Slice MRI. 689-698 - Jun Wei, Yiwen Hu
Shallow Attention Network for Polyp Segmentation. 699-708 - Heiko Maier, Shahrooz Faghihroohi, Nassir Navab:
A Line to Align: Deep Dynamic Time Warping for Retinal OCT Segmentation. 709-719 - Mengjun Cheng, Zishang Kong, Guoli Song, Yonghong Tian, Yongsheng Liang, Jie Chen:
Learnable Oriented-Derivative Network for Polyp Segmentation. 720-730 - Yanglan Ou, Ye Yuan, Xiaolei Huang
LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-Weighted MR Images. 731-741
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-26 00:34 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: