ResearchTrend.AI
A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching between Longitudinal Studies

A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching between Longitudinal Studies

H. Yerebakan
Y. Shinagawa
Mahesh Ranganath
Simon Allen-Raffl
G. Hermosillo
ArXivPDFHTML

Papers citing "A Hierarchical Descriptor Framework for On-the-Fly Anatomical Location Matching between Longitudinal Studies"

4 / 4 papers shown
Title
Real Time Multi Organ Classification on Computed Tomography Images
Real Time Multi Organ Classification on Computed Tomography Images
H. Yerebakan
Y. Shinagawa
Gerardo Hermosillo
75
1
0
29 Apr 2024
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang
Dong Yang
Wenqi Li
H. Roth
Bennett Landman
Daguang Xu
V. Nath
Ali Hatamizadeh
ViT
MedIm
88
524
0
29 Nov 2021
SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images
SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images
K. Yan
Jinzheng Cai
D. Jin
S. Miao
Dazhou Guo
Adam P. Harrison
Youbao Tang
Jing Xiao
Jingjing Lu
Le Lu
MedIm
51
85
0
04 Dec 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations
Contrastive learning of global and local features for medical image segmentation with limited annotations
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
65
551
0
18 Jun 2020

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.