Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks

25 July 2019

Papers citing "Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks"

12 / 12 papers shown

Title
CARL: A Framework for Equivariant Image Registration Hastings Greer Lin Tian François-Xavier Vialard Roland Kwitt R. Estépar Marc Niethammer 3DPC MedIm 35 0 0 27 May 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 42 36 0 28 Jul 2023
Recurrence With Correlation Network for Medical Image Registration Vignesh Sivan Teodora Vujovic R. Ranabhat Alexander Wong S. McLachlin M. Hardisty 23 2 0 05 Feb 2023
Recursive Deformable Image Registration Network with Mutual Attention Jian-Qing Zheng Ziyang Wang Baoru Huang N. Lim T. Vincent B. Papież MedIm 45 9 0 04 Jun 2022
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning Alessa Hering Lasse Hansen Tony C. W. Mok Albert C. S. Chung H. Siebert ... K. Murphy Nikolas Lessmann Bram van Ginneken Adrian V. Dalca M. Heinrich 29 182 0 08 Dec 2021
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021 H. Siebert Lasse Hansen M. Heinrich 3DPC 3DH 31 51 0 06 Dec 2021
AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation Xiangyi Yan Hao Tang Shanlin Sun Haoyu Ma Deying Kong Xiaohui Xie ViT MedIm 19 127 0 20 Oct 2021
Deep learning based geometric registration for medical images: How accurate can we get without visual features? Lasse Hansen M. Heinrich 3DPC 12 13 0 01 Mar 2021
CNN-based Lung CT Registration with Multiple Anatomical Constraints Alessa Hering Stephanie Häger J. Moltz Nikolas Lessmann Stefan Heldmann Bram van Ginneken 16 62 0 29 Nov 2020
Registration of serial sections: An evaluation method based on distortions of the ground truths Oleg Lobachev Takuya Funatomi Alexander Pfaffenroth R. Förster Lars Knudsen ... T. Salaets J. Toelen Simone Gaffling C. Mühlfeld R. Grothausmann 18 2 0 22 Nov 2020
Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings Lasse Hansen M. Heinrich MedIm 25 9 0 27 May 2020
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning Maureen van Eijnatten L. Rundo K. Batenburg F. Lucka E. Beddowes C. Caldas F. Gallagher Evis Sala Carola-Bibiane Schönlieb Ramona Woitek 31 14 0 15 May 2020