A review of biomechanically informed breast image registration-Reference-Cited by-同舟云学术

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A review of biomechanically informed breast image registration

Published:2016-01-06 Issue:2 Volume:61 Page:R1-R31
ISSN:0031-9155
Container-title:Physics in Medicine and Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Hipwell John H,Vavourakis Vasileios,Han Lianghao,Mertzanidou Thomy,Eiben Björn,Hawkes David J

Funder

Marie-Curie Fellowship

Engineering and Physical Sciences Research Council

Seventh Framework Programme

Publisher

IOP Publishing

Subject

Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference147 articles.

1. Validation of a method for measuring the volumetric breast density from digital mammograms

2. Motion correction in diffusion-weighted MRI of the breast at 3T

3. Breast Lesions: Quantitative Elastography with Supersonic Shear Imaging—Preliminary Results

4. A Deformable Finite Element Model of the Breast for Predicting Mechanical Deformations under External Perturbations

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1. Learning Breast Tissue Prone-To-Supine Displacement for Surgical Planning with Convolutional Neural Networks;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

2. Ultra-dense Motion Capture: An exploratory full-automatic approach for dense tracking of breast motion in 4D;PLOS ONE;2024-02-26

3. Diffeomorphic Multi-resolution Deep Learning Registration for Applications in Breast MRI;Lecture Notes in Bioengineering;2024

4. Estimation of the biomechanical mammographic deformation of the breast using machine learning models;Clinical Biomechanics;2023-12

5. Improvement of semantic segmentation through transfer learning of multi-class regions with convolutional neural networks on supine and prone breast MRI images;Scientific Reports;2023-04-27

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