Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation

20 July 2020

Papers citing "Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation"

21 / 21 papers shown

Title
A Comprehensive Survey of Foundation Models in Medicine Wasif Khan Seowung Leem Kyle B. See Joshua K. Wong Shaoting Zhang R. Fang AI4CE LM&MA VLM 95 16 0 17 Jan 2025
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation Yazhou Zhu Minxian Li Qiaolin Ye Shidong Wang Tong Xin Haofeng Zhang 30 0 0 01 Oct 2024
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models Lin Zhao Xiao Chen Eric Z. Chen Yikang Liu Terrence Chen Shanhui Sun VLM 46 5 0 16 Aug 2024
Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks Mahadev Prasad Panda Matteo Tiezzi Martina Vilas Gemma Roig Bjoern M. Eskofier Dario Zanca ViT AAML 23 1 0 04 Aug 2024
S4: Self-Supervised Sensing Across the Spectrum Jay Shenoy Xinjian Davis Zhang Shlok Mehrotra Bill Tao Rem Yang Han Zhao Deepak Vasisht AI4TS 14 2 0 02 May 2024
DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation Haoran Fan Qi Fan M. Pagnucco Yang Song 6 3 0 08 Dec 2023
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation Zhaoxin Fan Puquan Pan Zeren Zhang C. Chen Tianyang Wang Si Zheng Min Xu VLM 11 0 0 13 Jul 2023
Efficient Subclass Segmentation in Medical Images Linrui Dai Wenhui Lei Xiaofan Zhang 11 1 0 01 Jul 2023
Image Reconstruction using Superpixel Clustering and Tensor Completion Maame G. Asante-Mensah Anh-Huy Phan S. Ahmadi-Asl Z. Aghbari A. Cichocki SupR 16 7 0 16 May 2023
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection Jingyi Xu Hieu M. Le Dimitris Samaras ObjD 10 26 0 11 Apr 2023
Prompt Tuning for Parameter-efficient Medical Image Segmentation Marc Fischer Alexander Bartler Bin Yang SSeg 9 17 0 16 Nov 2022
Unsupervised pre-training of graph transformers on patient population graphs Chantal Pellegrini Nassir Navab Anees Kazi MedIm AI4CE 31 11 0 21 Jul 2022
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation Fei Pan S. Hur Seokju Lee Junsik Kim In So Kweon 17 11 0 19 Jul 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 9 61 0 05 May 2022
Localized Perturbations For Weakly-Supervised Segmentation of Glioma Brain Tumours Sajith Rajapaksa Farzad Khalvati 14 3 0 29 Nov 2021
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation A. Makarevich Azade Farshad Vasileios Belagiannis Nassir Navab 37 10 0 18 Sep 2021
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris 15 5 0 26 Aug 2021
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning Xiaoang Shen Guokai Zhang Huilin Lai Jihao Luo Jianwei Lu Ye Luo 16 12 0 26 Aug 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 229 3,029 0 09 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
Superpixels: An Evaluation of the State-of-the-Art David Stutz Alexander Hermans Bastian Leibe SupR 57 468 0 06 Dec 2016