MoViT: Memorizing Vision Transformers for Medical Image Analysis

MoViT: Memorizing Vision Transformers for Medical Image Analysis

27 March 2023

Yiqing Shen

Mathias Unberath

Papers citing "MoViT: Memorizing Vision Transformers for Medical Image Analysis"

6 / 6 papers shown

Title
Position: Foundation Models Need Digital Twin Representations Yiqing Shen Hao Ding Lalithkumar Seenivasan Tianmin Shu Mathias Unberath AI4CE 40 0 0 01 May 2025
MoSFormer: Augmenting Temporal Context with Memory of Surgery for Surgical Phase Recognition Hao Ding Xu Lian Mathias Unberath 24 1 0 02 Mar 2025
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer Xinyuan Shao Yiqing Shen Mathias Unberath MedIm 80 0 0 18 Dec 2024
FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images Yiqing Shen Jingxing Li Xinyuan Shao Blanca Inigo Romillo Ankush Jindal David Dreizin Mathias Unberath MedIm 34 12 0 14 Mar 2024
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014