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 34 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 35 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 50 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 30 2 0 26 Mar 2024
Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation Mingxuan Gu Sulaiman Vesal Ronak Kosti Andreas K. 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 11 4 0 29 Sep 2021
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation A. Makarevich Azade Farshad Vasileios Belagiannis Nassir Navab 44 10 0 18 Sep 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation C. L. P. Chen C. Qin C. Ouyang Zeju Li Shuo Wang Huaqi Qiu Liang Chen G. Tarroni Wenjia Bai Daniel Rueckert GAN MedIm 54 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 243 11,659 0 09 Mar 2017