Juan Eugenio Iglesias

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research

∙ 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...

0 Anahita Fathi Kazerooni, et al. ∙

research

∙ 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...

0 Hongwei Bran Li, et al. ∙

research

∙ 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 ...

0 Florian Kofler, et al. ∙

research

∙ 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...

0 Dominic LaBella, et al. ∙

research

∙ 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...

0 Henry F. J. Tregidgo, et al. ∙

research

∙ 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 ...

0 Karthik Gopinath, et al. ∙

research

∙ 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...

0 Hongwei Bran Li, et al. ∙

research

∙ 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...

0 Junshen Xu, et al. ∙

research

∙ 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...

0 Sean I. Young, et al. ∙

research

∙ 02/07/2022

Accurate super-resolution low-field brain MRI

The recent introduction of portable, low-field MRI (LF-MRI) into the cli...

0 Juan Eugenio Iglesias, et al. ∙

research

∙ 02/07/2022

SUD: Supervision by Denoising for Medical Image Segmentation

Training a fully convolutional network for semantic segmentation typical...

5 Sean I. Young, et al. ∙

research

∙ 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...

14 Adrià Casamitjana, et al. ∙

research

∙ 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...

39 Benjamin Billot, et al. ∙

research

∙ 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 ...

13 Adrià Casamitjana, et al. ∙

research

∙ 04/02/2021

Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms

Landmark correspondences are a widely used type of gold standard in imag...

0 Loïc Peter, et al. ∙

research

∙ 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...

7 Juan Eugenio Iglesias, et al. ∙

research

∙ 11/04/2020

DeepReg: a deep learning toolkit for medical image registration

DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported...

31 Yunguan Fu, et al. ∙

research

∙ 09/11/2020

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

Neuroimaging to neuropathology correlation (NTNC) promises to enable the...

0 Henry Tregidgo, et al. ∙

research

∙ 04/29/2020

An Auto-Encoder Strategy for Adaptive Image Segmentation

Deep neural networks are powerful tools for biomedical image segmentatio...

8 Evan M. Yu, et al. ∙

research

∙ 04/21/2020

Learning Multi-Modal Image Registration without Real Data

We introduce a learning-based strategy for multi-modal registration of i...

7 Malte Hoffmann, et al. ∙

research

∙ 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...

5 Benjamin Billot, et al. ∙

research

∙ 03/04/2020

A Learning Strategy for Contrast-agnostic MRI Segmentation

We present a deep learning strategy that enables, for the first time, co...

8 Benjamin Billot, et al. ∙

research

∙ 04/25/2019

Unsupervised deep learning for Bayesian brain MRI segmentation

Probabilistic atlas priors have been commonly used to derive adaptive an...

1 Adrian V. Dalca, et al. ∙

research

∙ 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...

0 Juan Eugenio Iglesias, et al. ∙

research

∙ 02/19/2019

Large-scale mammography CAD with Deformable Conv-Nets

State-of-the-art deep learning methods for image processing are evolving...

4 Stephen Morrell, et al. ∙

research

∙ 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 ...

0 Juan Eugenio Iglesias, et al. ∙

research

∙ 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...

0 Juan Eugenio Iglesias, et al. ∙

research

∙ 08/27/2017

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

Image registration between histology and magnetic resonance imaging (MRI...

0 Jonas Pichat, et al. ∙

research

∙ 12/10/2014

Multi-Atlas Segmentation of Biomedical Images: A Survey

Multi-atlas segmentation (MAS), first introduced and popularized by the ...

0 Juan Eugenio Iglesias, et al. ∙