A Systematic Review of Few-Shot Learning in Medical Imaging

20 September 2023

Papers citing "A Systematic Review of Few-Shot Learning in Medical Imaging"

11 / 11 papers shown

Title
Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2 Yuwen Chen Zafer Yildiz Qihang Li Yaqian Chen Haoyu Dong Hanxue Gu N. Konz Maciej Mazurowski MedIm VLM 44 0 0 03 May 2025
Foundation AI Model for Medical Image Segmentation Rina Bao Erfan Darzi Sheng He Chuan-Heng Hsiao M. Hussain Jingpeng Li Atle Bjornerud Ellen Grant Yangming Ou VLM LM&MA MedIm AI4MH 45 0 0 05 Nov 2024
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning Jialu Tang Tong Xia Yuan Lu Cecilia Mascolo Aaqib Saeed AI4MH 54 2 0 18 Oct 2024
A Survey of Few-Shot Learning for Biomedical Time Series Chenqi Li Timothy Denison Tingting Zhu 22 1 0 03 May 2024
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification Eva Pachetti Sotirios A. Tsaftaris Sara Colantonio 35 2 0 26 Mar 2024
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation Mingxuan Gu Sulaiman Vesal Ronak Kosti Andreas Maier OOD 13 11 0 28 Jan 2022
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation Zheng Yuan A. Esteva Ran Xu VLM 35 4 0 29 Sep 2021
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation A. Makarevich Azade Farshad Vasileios Belagiannis Nassir Navab 49 10 0 18 Sep 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation Chia-Ju Chen C. Qin Cheng Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 62 40 0 07 Aug 2021
Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image Segmentation Yuhang Ding Xin Yu Yi Yang OOD 30 34 0 03 Feb 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 347 11,684 0 09 Mar 2017