Juan Eugenio Iglesias

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BCBL ∙ UCL

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Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms

Landmark correspondences are a widely used type of gold standard in imag...
04/02/2021 ∙ by Loïc Peter, et al. ∙ 0 ∙ share

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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...
12/24/2020 ∙ by Juan Eugenio Iglesias, et al. ∙ 7 ∙ share

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DeepReg: a deep learning toolkit for medical image registration

DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported...
11/04/2020 ∙ by Yunguan Fu, et al. ∙ 31 ∙ share

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3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology

Neuroimaging to neuropathology correlation (NTNC) promises to enable the...
09/11/2020 ∙ by Henry Tregidgo, et al. ∙ 0 ∙ share

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An Auto-Encoder Strategy for Adaptive Image Segmentation

Deep neural networks are powerful tools for biomedical image segmentatio...
04/29/2020 ∙ by Evan M. Yu, et al. ∙ 8 ∙ share

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Learning Multi-Modal Image Registration without Real Data

We introduce a learning-based strategy for multi-modal registration of i...
04/21/2020 ∙ by Malte Hoffmann, et al. ∙ 7 ∙ share

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Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast

Partial voluming (PV) is arguably the last crucial unsolved problem in B...
04/21/2020 ∙ by Benjamin Billot, et al. ∙ 5 ∙ share

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A Learning Strategy for Contrast-agnostic MRI Segmentation

We present a deep learning strategy that enables, for the first time, co...
03/04/2020 ∙ by Benjamin Billot, et al. ∙ 8 ∙ share

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Unsupervised deep learning for Bayesian brain MRI segmentation

Probabilistic atlas priors have been commonly used to derive adaptive an...
04/25/2019 ∙ by Adrian V. Dalca, et al. ∙ 1 ∙ share

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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...
03/11/2019 ∙ by Juan Eugenio Iglesias, et al. ∙ 0 ∙ share

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Large-scale mammography CAD with Deformable Conv-Nets

State-of-the-art deep learning methods for image processing are evolving...
02/19/2019 ∙ by Stephen Morrell, et al. ∙ 4 ∙ share

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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 ...
06/22/2018 ∙ by Juan Eugenio Iglesias, et al. ∙ 0 ∙ share

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Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections

Nonlinear registration of 2D histological sections with corresponding sl...
01/16/2018 ∙ by Juan Eugenio Iglesias, et al. ∙ 0 ∙ share

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Part-to-whole Registration of Histology and MRI using Shape Elements

Image registration between histology and magnetic resonance imaging (MRI...
08/27/2017 ∙ by Jonas Pichat, et al. ∙ 0 ∙ share

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Multi-Atlas Segmentation of Biomedical Images: A Survey

Multi-atlas segmentation (MAS), first introduced and popularized by the ...
12/10/2014 ∙ by Juan Eugenio Iglesias, et al. ∙ 0 ∙ share

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