FLARE@MICCAI

Keyphrases

Publications

2022

Shoujin Huang, Lifeng Mei, Jingyu Li, Ziran Chen, Yue Zhang, Tan Zhang, Xin Nie, Kairen Deng, Mengye Lyu
Abdominal CT Organ Segmentation by Accelerated nnUNet with a Coarse to Fine Strategy. FLARE@MICCAI (2022)
Ilya Kuleshov, Mikhail Goncharov, Vera Soboleva
CLEF: Contrastive Learning of Equivariant Features in CT Images. FLARE@MICCAI (2022)
Gregor Köhler, Fabian Isensee, Klaus H. Maier-Hein
A Noisy nnU-Net Student for Semi-supervised Abdominal Organ Segmentation. FLARE@MICCAI (2022)
Dengqiang Jia
Semi-supervised Multi-organ Segmentation with Cross Supervision Using Siamese Network. FLARE@MICCAI (2022)
Cancan Chen, Weixin Xu, Rongguo Zhang
An Efficiency Coarse-to-Fine Segmentation Framework for Abdominal Organs Segmentation. FLARE@MICCAI (2022)
Chuda Xiao, Zhuo Chen, Haoyu Li, Dan Li, Rashid Khan, Jinyu Tian, Weiguo Xie, Liyilei Su
Semi-supervised 3D U-Net Learning Based on Meta Pseudo Labels. FLARE@MICCAI (2022)
Yi Lv, Yu Ning, Junchen Wang
Coarse to Fine Automatic Segmentation of Abdominal Multiple Organs. FLARE@MICCAI (2022)
Hao Chen, Wen Zhang, Xiaochao Yan, Yanbin Chen, Xin Chen, Mengjun Wu, Lin Pan, Shaohua Zheng
Multi-organ Segmentation Based on 2.5D Semi-supervised Learning. FLARE@MICCAI (2022)
Jianwei Gao, Juan Xu, Honggao Fei
A Pseudo-labeling Approach to Semi-supervised Organ Segmentation. FLARE@MICCAI (2022)
Jiapeng Zhang
Self-pretrained V-Net Based on PCRL for Abdominal Organ Segmentation. FLARE@MICCAI (2022)
Wentao Liu, Weijin Xu, Songlin Yan, Lemeng Wang, Haoyuan Li, Huihua Yang
Combining Self-training and Hybrid Architecture for Semi-supervised Abdominal Organ Segmentation. FLARE@MICCAI (2022)
Minh-Khoi Pham, Thang-Long Nguyen-Ho, Thao Thi Phuong Dao, Tan-Cong Nguyen, Minh-Triet Tran
Semi-supervised Organ Segmentation with Mask Propagation Refinement and Uncertainty Estimation for Data Generation. FLARE@MICCAI (2022)
Shiman Li, Siqi Yin, Chenxi Zhang, Manning Wang, Zhijian Song
MTSegNet: Semi-supervised Abdominal Organ Segmentation in CT. FLARE@MICCAI (2022)
Fan Zhang, Meihuan Wang, Hua Yang
Self-training with Selective Re-training Improves Abdominal Organ Segmentation in CT Image. FLARE@MICCAI (2022)
YuanKe Pan, Jinxin Zhu, Bingding Huang
Unlabeled Abdominal Multi-organ Image Segmentation Based on Semi-supervised Adversarial Training Strategy. FLARE@MICCAI (2022)
Ziyan Huang, Haoyu Wang, Jin Ye, Jingqi Niu, Can Tu, Yuncheng Yang, Shiyi Du, Zhongying Deng, Lixu Gu, Junjun He
Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window Inference. FLARE@MICCAI (2022)
Jae Won Choi
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-supervised Abdominal Organ Segmentation in CT. FLARE@MICCAI (2022)
Zixiao Zhao, Jiahua Chu
A Simple Mean-Teacher UNet Model for Efficient Abdominal Organ Segmentation. FLARE@MICCAI (2022)
Meng Han, Yijie Qu, Xiangde Luo
Efficient Semi-supervised Multi-organ Segmentation Using Uncertainty Rectified Pyramid Consistency. FLARE@MICCAI (2022)
Hui Meng, Haochen Zhao, Ziniu Yu, Qingfeng Li, Jianwei Niu
Uncertainty-aware Mean Teacher Framework with Inception and Squeeze-and-Excitation Block for MICCAI FLARE22 Challenge. FLARE@MICCAI (2022)
Ershuai Wang, Yaliang Zhao, Yajun Wu
Cascade Dual-decoders Network for Abdominal Organs Segmentation. FLARE@MICCAI (2022)
Maria G. Baldeon Calisto
Teacher-Student Semi-supervised Approach for Medical Image Segmentation. FLARE@MICCAI (2022)
Rui Xin, Lisheng Wang
Abdominal Multi-organ Segmentation Using CNN and Transformer. FLARE@MICCAI (2022)
Mingze Sun, Yankai Jiang, Heng Guo
Semi-supervised Detection, Identification and Segmentation for Abdominal Organs. FLARE@MICCAI (2022)
Haoran Lai, Tao Wang, Shuoling Zhou
DLUNet: Semi-supervised Learning Based Dual-Light UNet for Multi-organ Segmentation. FLARE@MICCAI (2022)
Zining Chen, Tianyi Wang, Shihao Han, Yinan Song, Shichao Li
Semi-supervised Augmented 3D-CNN for FLARE22 Challenge. FLARE@MICCAI (2022)
Yongzhi Huang, Hanwen Zhang, Yan Yan, Haseeb Hassan
3D Cross-Pseudo Supervision (3D-CPS): A Semi-supervised nnU-Net Architecture for Abdominal Organ Segmentation. FLARE@MICCAI (2022)
Natália Alves, Bram De Wilde
Uncertainty-Guided Self-learning Framework for Semi-supervised Multi-organ Segmentation. FLARE@MICCAI (2022)

volume 13816, 2022

Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation - MICCAI 2022 Challenge, FLARE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings FLARE@MICCAI 13816 (2022)