A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond
Deep learning technologies have dramatically reshaped the field of medical image
registration over the past decade. The initial developments, such as regression-based and U …
registration over the past decade. The initial developments, such as regression-based and U …
The role of AI in prostate MRI quality and interpretation: Opportunities and challenges
Prostate MRI plays an important role in imaging the prostate gland and surrounding tissues,
particularly in the diagnosis and management of prostate cancer. With the widespread …
particularly in the diagnosis and management of prostate cancer. With the widespread …
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
Establishing dense anatomical correspondence across distinct imaging modalities is a
foundational yet challenging procedure for numerous medical image analysis studies and …
foundational yet challenging procedure for numerous medical image analysis studies and …
Mambamorph: a mamba-based backbone with contrastive feature learning for deformable mr-ct registration
Large Language Models for Multimodal Deformable Image Registration
The challenge of Multimodal Deformable Image Registration (MDIR) lies in the conversion
and alignment of features between images of different modalities. Generative models (GMs) …
and alignment of features between images of different modalities. Generative models (GMs) …
Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration
Multi-modal registration between tagged and untagged cardiac cine magnetic resonance
(MR) images remains difficult, due to the domain gap and large deformations between the …
(MR) images remains difficult, due to the domain gap and large deformations between the …
Contrastive Learning of Multimodal Consistency Feature Representation for Remote Sensing Image Registration
Z Han, N Lv, Z Wang, W Han, L Cong… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Feature representation is a crucial issue in multimodal image registration. The handcrafted
features extracted by traditional methods are highly sensitive to nonlinear radiation …
features extracted by traditional methods are highly sensitive to nonlinear radiation …