Revisiting Hidden Representations in Transfer Learning for Medical Imaging

16 February 2023

Papers citing "Revisiting Hidden Representations in Transfer Learning for Medical Imaging"

6 / 6 papers shown

Title
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners Feng Liang Yangguang Li Diana Marculescu SSL TPM ViT 51 22 0 28 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
Robust deep learning-based semantic organ segmentation in hyperspectral images Silvia Seidlitz Jiansheng Fang Jan Odenthal Berkin Özdemir Huazhu Fu ... Jiang-Dong Liu Martin Wagner Felix Nickel Beat P. Müller-Stich Lena Maier-Hein 32 8 0 09 Nov 2021
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification Irma van den Brandt F. Fok B. Mulders Joaquin Vanschoren V. Cheplygina 23 4 0 13 Jul 2021
Pre-training without Natural Images Hirokatsu Kataoka Kazushige Okayasu Asato Matsumoto Eisuke Yamagata Ryosuke Yamada Nakamasa Inoue Akio Nakamura Y. Satoh 79 116 0 21 Jan 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 73 101 0 18 Jan 2021