Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations

4 November 2019

Gerda Bortsova

Florian Dubost

Laurens Hogeweg

Ioannis Katramados

Marleen de Bruijne

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Papers citing "Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations"

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Title
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation Wenbo Xiao Zhihao Xu Guiping Liang Yangjun Deng Yi Xiao 75 0 0 01 Feb 2025
Blurry-Consistency Segmentation Framework with Selective Stacking on Differential Interference Contrast 3D Breast Cancer Spheroid Thanh-Huy Nguyen Thi Kim Ngan Ngo Mai-Anh Vu Ting-Yuan Tu 45 8 0 08 Jun 2024
Enhancing AI Diagnostics: Autonomous Lesion Masking via Semi-Supervised Deep Learning Ting-Ruen Wei Michele Hell Dang Bich Thuy Le Aren T Vierra Ran Pang Mahesh Patel Young Kang Yuling Yan 47 0 0 18 Apr 2024
H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation Lívia Rodrigues Martina Bocchetta Oula Puonti Douglas N. Greve A. C. Londe Marcondes França Simone Appenzeller J. Iglesias Letícia Rittner 26 1 0 30 Jan 2024
Boundary-weighted logit consistency improves calibration of segmentation networks Neerav Karani Neel Dey Polina Golland 27 3 0 16 Jul 2023
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images Bo Qian Haoxing Chen Xiangning Wang Haoxuan Che Gitaek Kwon ... Xiaokang Yang Yiyu Cai Weiping Jia Huating Li Bin Sheng 27 5 0 05 Apr 2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 45 6 0 07 Feb 2023
Which Pixel to Annotate: a Label-Efficient Nuclei Segmentation Framework Wei Lou Haofeng Li Guanbin Li Xiaoguang Han Xiang Wan 21 25 0 20 Dec 2022
Label Refinement Network from Synthetic Error Augmentation for Medical Image Segmentation Shuai Chen Antonio Garcia Uceda Jiahang Su Gijs van Tulder L. Wolff T. van Walsum Marleen de Bruijne MedIm 27 4 0 14 Sep 2022
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures Ran Gu Jingyang Zhang Guotai Wang Wenhui Lei Tao Song Xiaofan Zhang Kang Li Shaoting Zhang 32 41 0 18 Aug 2022
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation Pratima Upretee Bishesh Khanal MedIm 28 10 0 31 Jul 2022
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 31 152 0 28 Jul 2022
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation Zhonghua Wu Yicheng Wu Guosheng Lin Jianfei Cai Chen Qian 3DPC 34 23 0 19 Jul 2022
Representation Learning with Information Theory for COVID-19 Detection Abel Díaz Berenguer Tanmoy Mukherjee M. Bossa Nikos Deligiannis Hichem Sahli OOD 32 3 0 04 Jul 2022
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation Hritam Basak R. Bhattacharya Rukhshanda Hussain Agniv Chatterjee 15 21 0 01 Feb 2022
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation K. Chaitanya Ertunc Erdil Neerav Karani E. Konukoglu SSL 22 121 0 17 Dec 2021
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation Huimin Wu Xuelong Li Kwang-Ting Cheng 30 13 0 22 Nov 2021
Diversified Multi-prototype Representation for Semi-supervised Segmentation Jizong Peng Christian Desrosiers M. Pedersoli 29 1 0 16 Nov 2021
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations Jinyong Hou Xuejie Ding Jeremiah D. Deng MedIm 26 19 0 22 Oct 2021
Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow G. Chlebus A. Schenk Horst K. Hahn Bram van Ginneken H. Meine 18 9 0 30 Sep 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels Jizong Peng Ping Wang Chrisitian Desrosiers M. Pedersoli SSL 31 63 0 29 Jul 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 26 317 0 15 Mar 2021
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization Jizong Peng M. Pedersoli Christian Desrosiers SSL 27 21 0 08 Mar 2021
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions Jun Wang Shaoguo Wen Kaixing Chen Jianghua Yu Xiaoxia Zhou Peng Gao Changsheng Li Guotong Xie ISeg 27 18 0 09 Dec 2020
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images Shuailin Li Chuyu Zhang Xuming He 34 348 0 21 Jul 2020
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images I. Laradji Pau Rodríguez López Oscar Manas Keegan Lensink M. Law Lironne Kurzman William Parker David Vazquez Derek Nowrouzezahrai 23 84 0 04 Jul 2020
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 26 18 0 18 Jun 2020
Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning S. Devalla T. Pham S. Panda Zhang Liang Giridhar Subramanian ... L. Schmetterer S. Perera Tin Aung Alexandre Hoang Thiery M. Girard 33 29 0 22 Feb 2020
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 35 751 0 27 Aug 2019