Pretrained ViTs Yield Versatile Representations For Medical Images

13 March 2023

Papers citing "Pretrained ViTs Yield Versatile Representations For Medical Images"

9 / 9 papers shown

Title
APLA: A Simple Adaptation Method for Vision Transformers Moein Sorkhei Emir Konuk Kevin Smith Christos Matsoukas 53 0 0 14 Mar 2025
Pre-trained Models Succeed in Medical Imaging with Representation Similarity Degradation Wenqiang Zu Shenghao Xie Hao Chen Lei Ma MedIm 47 0 0 11 Mar 2025
Foundation Models for Autonomous Robots in Unstructured Environments Hossein Naderi Alireza Shojaei Lifu Huang LM&Ro 45 0 0 19 Jul 2024
Masked Image Modelling for retinal OCT understanding Theodoros Pissas Pablo Márquez-Neila Sebastian Wolf M. Zinkernagel Raphael Sznitman 22 0 0 23 May 2024
Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation Johan Fredin Haslum Christos Matsoukas Karl‐Johan Leuchowius Kevin Smith 21 1 0 21 Nov 2023
Are Natural Domain Foundation Models Useful for Medical Image Classification? Joana Palés Huix Adithya Raju Ganeshan Johan Fredin Haslum Magnus P Soderberg Christos Matsoukas Kevin Smith OOD MedIm VLM 24 30 0 30 Oct 2023
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation Yao Chang Menghan Hu Zhai Guangtao Xiao-Ping Zhang MedIm ViT 68 96 0 12 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 305 5,773 0 29 Apr 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 227 2,428 0 04 Jan 2021