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06/02/2023
Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach
Focal cortical dysplasia (FCD) is a leading cause of drug-resistant foca...
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05/30/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)
Gliomas are the most common type of primary brain tumors. Although gliom...
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05/26/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
Pediatric tumors of the central nervous system are the most common cause...
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05/15/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
Automated brain tumor segmentation methods are well established, reachin...
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05/15/2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting
A myriad of algorithms for the automatic analysis of brain MR images is ...
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05/12/2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma
Meningiomas are the most common primary intracranial tumor in adults and...
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05/05/2023
Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI
The human thalamus is a highly connected subcortical grey-matter structu...
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05/02/2023
Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies
Surface analysis of the cortex is ubiquitous in human neuroimaging with ...
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12/03/2022
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images
Quantifying the perceptual similarity of two images is a long-standing p...
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06/22/2022
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI
Volumetric reconstruction of fetal brains from multiple stacks of MR sli...
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05/15/2022
SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration
In recent years, learning-based image registration methods have graduall...
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02/07/2022
Accurate super-resolution low-field brain MRI
The recent introduction of portable, low-field MRI (LF-MRI) into the cli...
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02/07/2022
SUD: Supervision by Denoising for Medical Image Segmentation
Training a fully convolutional network for semantic segmentation typical...
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07/30/2021
Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images
Nonlinear inter-modality registration is often challenging due to the la...
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07/20/2021
SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution
Despite advances in data augmentation and transfer learning, convolution...
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04/30/2021
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas
Joint registration of a stack of 2D histological sections to recover 3D ...
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04/02/2021
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms
Landmark correspondences are a widely used type of gold standard in imag...
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12/24/2020
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast
Most existing algorithms for automatic 3D morphometry of human brain MRI...
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11/04/2020
DeepReg: a deep learning toolkit for medical image registration
DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported...
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09/11/2020
3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology
Neuroimaging to neuropathology correlation (NTNC) promises to enable the...
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04/29/2020
An Auto-Encoder Strategy for Adaptive Image Segmentation
Deep neural networks are powerful tools for biomedical image segmentatio...
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04/21/2020
Learning Multi-Modal Image Registration without Real Data
We introduce a learning-based strategy for multi-modal registration of i...
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04/21/2020
Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast
Partial voluming (PV) is arguably the last crucial unsolved problem in B...
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03/04/2020
A Learning Strategy for Contrast-agnostic MRI Segmentation
We present a deep learning strategy that enables, for the first time, co...
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04/25/2019
Unsupervised deep learning for Bayesian brain MRI segmentation
Probabilistic atlas priors have been commonly used to derive adaptive an...
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03/11/2019
Joint inference on structural and diffusion MRI for sequence-adaptive Bayesian segmentation of thalamic nuclei with probabilistic atlases
Segmentation of structural and diffusion MRI (sMRI/dMRI) is usually perf...
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02/19/2019
Large-scale mammography CAD with Deformable Conv-Nets
State-of-the-art deep learning methods for image processing are evolving...
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06/22/2018
A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology
The human thalamus is a brain structure that comprises numerous, highly ...
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01/16/2018
Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections
Nonlinear registration of 2D histological sections with corresponding sl...
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08/27/2017
Part-to-whole Registration of Histology and MRI using Shape Elements
Image registration between histology and magnetic resonance imaging (MRI...
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12/10/2014