Employing similarity to highlight differences: On the impact of
anatomical assumptions in chest X-ray registration methods

Employing similarity to highlight differences: On the impact of anatomical assumptions in chest X-ray registration methods

23 January 2023

Astrid Berg

E. Vandersmissen

David Major

Theresa Neubauer

Dimitrios Lenis

Katja Bühler

Papers citing "Employing similarity to highlight differences: On the impact of anatomical assumptions in chest X-ray registration methods"

6 / 6 papers shown

Title
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approach Alireza Saber Pouria Parhami Alimihammad Siahkarzadeh Amirreza Fateh Amirreza Fateh ViT MedIm 40 9 0 08 Aug 2024
A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond Junyu Chen Yihao Liu Shuwen Wei Zhangxing Bian Shalini Subramanian A. Carass Jerry L. Prince Yong Du OOD 22 36 0 28 Jul 2023
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks Tony C. W. Mok Albert C. S. Chung MedIm 42 197 0 20 Mar 2020
Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data Ophir Gozes H. Greenspan 9 9 0 20 Mar 2020
Medical Image Registration Using Deep Neural Networks: A Comprehensive Review H. R. Boveiri R. Khayami R. Javidan A. MehdiZadeh 109 132 0 09 Feb 2020
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 124 7,284 0 05 Jun 2015