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Spatial deformable transformer for 3D point cloud registration
Deformable attention only focuses on a small group of key sample-points around the reference point and make itself be able to capture dynamically the...
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3D Deformable Convolution for Medical Image Registration
Medical image registration is a fundamental task in computeraided medical diagnosis. In recent years, researchers have proposed many deep...
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A novel hybrid method for the registration of deformable medical images using common subregions
Deformable image registration is a fundamental technique in medical image analysis and provide physicians with a more complete understanding of...
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Pulmonary CT Registration Network Based on Deformable Cross Attention
Current Transformer structure utilizes the self-attention mechanism to model global contextual relevance within image, which makes an impact on...
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AEAU-Net: an unsupervised end-to-end registration network by combining affine transformation and deformable medical image registration
AbstractDeformable medical image registration plays an essential role in clinical diagnosis and treatment. However, due to the large difference in...
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Deformable registration of magnetic resonance images using unsupervised deep learning in neuro-/radiation oncology
PurposeAccurate deformable registration of magnetic resonance imaging (MRI) scans containing pathologies is challenging due to changes in tissue...
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Deformable Cross-Attention Transformer for Medical Image Registration
Transformers have recently shown promise for medical image applications, leading to an increasing interest in developing such models for medical...
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MFCTrans: Multi-scale Feature Connection Transformer for Deformable Medical Image Registration
Deformable Medical Image Registration (DMIR) aims to establish precise anatomical alignment of multiple medical images. However, the existing U-shape...
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Ablative margin quantification using deformable versus rigid image registration in colorectal liver metastasis thermal ablation: a retrospective single-center study
PurposeTo investigate the correlation of minimal ablative margin (MAM) quantification using biomechanical deformable (DIR) versus intensity-based...
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macJNet: weakly-supervised multimodal image deformable registration using joint learning framework and multi-sampling cascaded MIND
Deformable multimodal image registration plays a key role in medical image analysis. It remains a challenge to find accurate dense correspondences...
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Deformable registration of multimodal retinal images using a weakly supervised deep learning approach
There are different retinal vascular imaging modalities widely used in clinical practice to diagnose different retinal pathologies. The joint...
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Uncertain prediction of deformable image registration on lung CT using multi-category features and supervised learning
The assessment of deformable registration uncertainty is an important task for the safety and reliability of registration methods in clinical...
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Gaussianmorph: deformable medical image registration with Gaussian noise constraints
Deep learning-based image registration methods offer advantages of time efficiency and registration outcomes by automatically extracting enough image...
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A deformable patch-based transformer for 3D medical image registration
PurposeMedical image registration is of great importance in clinical medicine. However, medical image registration algorithms are still in the...
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Deformable MRI Sequence Registration for AI-Based Prostate Cancer Diagnosis
The PI-CAI (Prostate Imaging: Cancer AI) challenge led to expert-level diagnostic algorithms for clinically significant prostate cancer detection....
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BIRGU Net: deformable brain magnetic resonance image registration using gyral-net map and 3D Res-Unet
Deformable image registration is a fundamental procedure in medical imaging. Recently, deep learning-based deformable image registrations have...
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On Finite Difference Jacobian Computation in Deformable Image Registration
Producing spatial transformations that are diffeomorphic is a key goal in deformable image registration. As a diffeomorphic transformation should...
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Diegraph: dual-branch information exchange graph convolutional network for deformable medical image registration
Deformable medical image registration (DMIR) is a crucial task in medical image analysis. Current learning-based approaches concatenate two images...
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Semi-automatic robotic puncture system based on deformable soft tissue point cloud registration
PurposeTraditional surgical puncture robot systems based on computed tomography (CT) and infrared camera guidance have natural disadvantages for...
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A hybrid deformable registration method to generate motion-compensated 3D virtual MRI for fusion with interventional real-time 3D ultrasound
PurposeUltrasound is often the preferred modality for image-guided therapy or treatment in organs such as liver due to real-time imaging...
