A review of deep learning-based deformable medical image registration
The alignment of images through deformable image registration is vital to clinical
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …
Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis
Background: Deep convolutional neural networks (CNNs) have yielded promising results in
automatic whole slide images (WSIs) processing for digital pathology in recent years …
automatic whole slide images (WSIs) processing for digital pathology in recent years …
Deformer: Towards displacement field learning for unsupervised medical image registration
Recently, deep-learning-based approaches have been widely studied for deformable image
registration task. However, most efforts directly map the composite image representation to …
registration task. However, most efforts directly map the composite image representation to …
[HTML][HTML] Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registration
Deformable image registration, the estimation of the spatial transformation between different
images, is an important task in medical imaging. Deep learning techniques have been …
images, is an important task in medical imaging. Deep learning techniques have been …
Double-uncertainty guided spatial and temporal consistency regularization weighting for learning-based abdominal registration
In order to tackle the difficulty associated with the ill-posed nature of the image registration
problem, regularization is often used to constrain the solution space. For most learning …
problem, regularization is often used to constrain the solution space. For most learning …
Predicting Recurrence in Pancreatic Ductal Adenocarcinoma after Radical Surgery Using an AX-Unet Pancreas Segmentation Model and Dynamic Nomogram
H Ni, G Zhou, X Chen, J Ren, M Yang, Y Zhang… - Bioengineering, 2023 - mdpi.com
This study aims to investigate the reliability of radiomic features extracted from contrast-
enhanced computer tomography (CT) by AX-Unet, a pancreas segmentation model, to …
enhanced computer tomography (CT) by AX-Unet, a pancreas segmentation model, to …
Unsupervised deep learning-based medical image registration: a survey
T Duan, W Chen, M Ruan, X Zhang… - Physics in Medicine & …, 2025 - iopscience.iop.org
In recent decades, medical image registration technology has undergone significant
development, becoming one of the core technologies in medical image analysis. With the …
development, becoming one of the core technologies in medical image analysis. With the …
Multi-scale spatial consistency for deep semi-supervised skin lesion segmentation
This paper introduces a novel semi-supervised framework, the Multiscale Spatial
Consistency Network (MSCNet), for robust semi-supervised skin lesion segmentation …
Consistency Network (MSCNet), for robust semi-supervised skin lesion segmentation …
Biomechanics-informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity
This paper investigates both biomechanical-constrained non-rigid medical image
registrations and accurate identifications of material properties for soft tissues, using physics …
registrations and accurate identifications of material properties for soft tissues, using physics …
Symmetric deformable registration of multimodal brain magnetic resonance images via appearance residuals
Abstract Background and Objective: Deformable registration of multimodal brain magnetic
resonance images presents significant challenges, primarily due to substantial structural …
resonance images presents significant challenges, primarily due to substantial structural …