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Publication search results
found 29 matches
- 2022
- Natália Alves
, Bram De Wilde
:
Uncertainty-Guided Self-learning Framework for Semi-supervised Multi-organ Segmentation. FLARE@MICCAI 2022: 116-127 - Maria G. Baldeon Calisto
:
Teacher-Student Semi-supervised Approach for Medical Image Segmentation. FLARE@MICCAI 2022: 152-162 - Zining Chen, Tianyi Wang, Shihao Han, Yinan Song, Shichao Li:
Semi-supervised Augmented 3D-CNN for FLARE22 Challenge. FLARE@MICCAI 2022: 56-63 - Cancan Chen, Weixin Xu, Rongguo Zhang
:
An Efficiency Coarse-to-Fine Segmentation Framework for Abdominal Organs Segmentation. FLARE@MICCAI 2022: 47-55 - 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: 74-86 - Jae Won Choi
:
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-supervised Abdominal Organ Segmentation in CT. FLARE@MICCAI 2022: 101-115 - Jianwei Gao
, Juan Xu, Honggao Fei:
A Pseudo-labeling Approach to Semi-supervised Organ Segmentation. FLARE@MICCAI 2022: 318-326 - Meng Han, Yijie Qu, Xiangde Luo:
Efficient Semi-supervised Multi-organ Segmentation Using Uncertainty Rectified Pyramid Consistency. FLARE@MICCAI 2022: 307-317 - 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: 23-34 - 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: 178-189 - 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: 87-100 - Dengqiang Jia
:
Semi-supervised Multi-organ Segmentation with Cross Supervision Using Siamese Network. FLARE@MICCAI 2022: 293-306 - Gregor Köhler
, Fabian Isensee
, Klaus H. Maier-Hein
:
A Noisy nnU-Net Student for Semi-supervised Abdominal Organ Segmentation. FLARE@MICCAI 2022: 128-138 - Ilya Kuleshov, Mikhail Goncharov, Vera Soboleva:
CLEF: Contrastive Learning of Equivariant Features in CT Images. FLARE@MICCAI 2022: 139-151 - Haoran Lai, Tao Wang, Shuoling Zhou:
DLUNet: Semi-supervised Learning Based Dual-Light UNet for Multi-organ Segmentation. FLARE@MICCAI 2022: 64-73 - Shiman Li
, Siqi Yin
, Chenxi Zhang, Manning Wang, Zhijian Song:
MTSegNet: Semi-supervised Abdominal Organ Segmentation in CT. FLARE@MICCAI 2022: 233-244 - 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: 281-292 - Yi Lv
, Yu Ning
, Junchen Wang
:
Coarse to Fine Automatic Segmentation of Abdominal Multiple Organs. FLARE@MICCAI 2022: 223-232 - 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: 245-259 - YuanKe Pan
, Jinxin Zhu
, Bingding Huang
:
Unlabeled Abdominal Multi-organ Image Segmentation Based on Semi-supervised Adversarial Training Strategy. FLARE@MICCAI 2022: 11-22 - 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: 163-177 - Mingze Sun, Yankai Jiang, Heng Guo:
Semi-supervised Detection, Identification and Segmentation for Abdominal Organs. FLARE@MICCAI 2022: 35-46 - Ershuai Wang
, Yaliang Zhao, Yajun Wu:
Cascade Dual-decoders Network for Abdominal Organs Segmentation. FLARE@MICCAI 2022: 202-213 - 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: 214-222 - Rui Xin
, Lisheng Wang
:
Abdominal Multi-organ Segmentation Using CNN and Transformer. FLARE@MICCAI 2022: 270-280 - Jiapeng Zhang
:
Self-pretrained V-Net Based on PCRL for Abdominal Organ Segmentation. FLARE@MICCAI 2022: 260-269 - Fan Zhang, Meihuan Wang, Hua Yang:
Self-training with Selective Re-training Improves Abdominal Organ Segmentation in CT Image. FLARE@MICCAI 2022: 1-10 - Zixiao Zhao
, Jiahua Chu
:
A Simple Mean-Teacher UNet Model for Efficient Abdominal Organ Segmentation. FLARE@MICCAI 2022: 190-201 - Jun Ma
, Bo Wang
:
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. Lecture Notes in Computer Science 13816, Springer 2022, ISBN 978-3-031-23910-6 [contents]
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