Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous
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Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels

7 August 2023

Nishant Ravikumar

Michael MacRaild

Alejandro F Frangi

Papers citing "Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels"

7 / 7 papers shown

Title
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 75 161 0 28 Jul 2022
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision Xiaokang Chen Yuhui Yuan Gang Zeng Jingdong Wang 87 783 0 02 Jun 2021
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation Hu Cao Yueyue Wang Jieneng Chen Dongsheng Jiang Xiaopeng Zhang Qi Tian Manning Wang ViT MedIm 129 2,903 0 12 May 2021
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Jieneng Chen Yongyi Lu Qihang Yu Xiangde Luo Ehsan Adeli Yan Wang Le Lu Alan Yuille Yuyin Zhou ViT MedIm 98 3,479 0 08 Feb 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 311 519 0 15 Jan 2021
DS6, Deformation-aware Semi-supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data S. Chatterjee Kartik Prabhu Mahantesh Pattadkal Gerda Bortsova Chompunuch Sarasaen Florian Dubost Hendrik Mattern Marleen de Bruijne Oliver Speck Andreas Nürnberger 51 18 0 18 Jun 2020
Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation Shuai Chen Gerda Bortsova Antonio Garcia-Uceda Juarez Gijs van Tulder Marleen de Bruijne 73 156 0 29 Jul 2019