Few-shot 3D Multi-modal Medical Image Segmentation using Generative
Adversarial Learning

Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

29 October 2018

Arnab Kumar Mondal

Jose Dolz

Christian Desrosiers

Papers citing "Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning"

17 / 17 papers shown

Title
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 35 20 0 09 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 31 18 0 03 Oct 2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 29 6 0 07 Feb 2023
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation Chen Liu Matthew Amodio Liangbo L. Shen Feng Gao A. Avesta S. Aneja Jay C. Wang L. V. Priore Smita Krishnaswamy OOD MedIm 19 13 0 23 Sep 2022
Histopathology DatasetGAN: Synthesizing Large-Resolution Histopathology Datasets S. Rizvi P. Cicalese S. Seshan S. Sciascia J. U.Becker H. V. Nguyen MedIm 15 2 0 06 Jul 2022
Segmentation of 2D Brain MR Images A. R. Bajwa 3DV 11 0 0 05 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
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data H. Cui Dong Wei Kai Ma Shi Gu Yefeng Zheng 20 39 0 18 Oct 2021
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction Umut Guvercin Mohammed Amine Gharsallaoui I. Rekik 27 6 0 06 Oct 2021
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation A. Makarevich Azade Farshad Vasileios Belagiannis Nassir Navab 46 10 0 18 Sep 2021
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution Chun-Mei Feng Yu-bao Yan Kai-An Yu Yong Xu Ling Shao H. Fu SupR MedIm 21 34 0 03 Sep 2021
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey S. Niyas S. Pawan Anand Kumar Jeny Rajan MedIm 38 83 0 19 Aug 2021
A Systematic Collection of Medical Image Datasets for Deep Learning Johann Li Guangming Zhu Cong Hua Mingtao Feng Basheer Bennamoun ... Xu Xu Lin Mei Liang Zhang Syed Afaq Ali Shah Bennamoun OOD 38 49 0 24 Jun 2021
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 16 750 0 27 Aug 2019
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 31 1,369 0 19 Sep 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 283 10,613 0 19 Feb 2017
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 171 1,940 0 24 Oct 2016