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Picture for Juan Eugenio Iglesias

Juan Eugenio Iglesias

Centre for Medical Image Computing, Department of Computer Science, University College London, UK, Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, USA, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Boston, USA

Synth-by-Reg (SbR): Contrastive learning for synthesis-based registration of paired images


Jul 30, 2021
AdriĆ  Casamitjana, Matteo Mancini, Juan Eugenio Iglesias

* Simulation and Synthesis in Medical Imaging (SASHIMI) 

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SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution


Jul 20, 2021
Benjamin Billot, Douglas N. Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Juan Eugenio Iglesias

* 20 pages, 11 figures, currently under review 

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Towards Deep Learning-assisted Quantification of Inflammation in Spondyloarthritis: Intensity-based Lesion Segmentation


Jun 21, 2021
Carolyna Hepburn, Hui Zhang, Juan Eugenio Iglesias, Alexis Jones, Alan Bainbridge, Timothy JP Bray, Margaret A Hall-Craggs

* 21 pages, 21 figures 

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Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas


May 04, 2021
AdriĆ  Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren, Juan Eugenio Iglesias


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Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms


Apr 02, 2021
Loic Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias

* Accepted at IEEE Transactions on Medical Imaging 

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Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications


Dec 30, 2020
Loic Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, Jan Deprest, Sebastien Ourselin, Juan Eugenio Iglesias, Tom Vercauteren


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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


Dec 24, 2020
Juan Eugenio Iglesias, Benjamin Billot, Yael Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl


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DeepReg: a deep learning toolkit for medical image registration


Nov 04, 2020
Yunguan Fu, Nina MontaƱa Brown, Shaheer U. Saeed, AdriƠ Casamitjana, Zachary M. C. Baum, RƩmi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B. Blumberg, Juan Eugenio Iglesias, Dean C. Barratt, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu

* Accepted in The Journal of Open Source Software (JOSS) 

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


Sep 11, 2020
Henry Tregidgo, Adria Casamitjana, Caitlin Latimer, Mitchell Kilgore, Eleanor Robinson, Emily Blackburn, Koen Van Leemput, Bruce Fischl, Adrian Dalca, Christine Mac Donald, Dirk Keene, Juan Eugenio Iglesias

* Accepted at MICCAI 2020 

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Joint Frequency- and Image-Space Learning for Fourier Imaging


Jul 02, 2020
Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland

* 14 pages, 15 figures, image reconstruction, motion correction, denoising, magnetic resonance imaging, deep learning 

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An Auto-Encoder Strategy for Adaptive Image Segmentation


Apr 29, 2020
Evan M. Yu, Juan Eugenio Iglesias, Adrian V. Dalca, Mert R. Sabuncu

* MIDL 2020 

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Learning Multi-Modal Image Registration without Real Data


Apr 21, 2020
Malte Hoffmann, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, Adrian V. Dalca

* 12 pages, 8 figures, deformable image registration, modality independence, training without data 

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


Apr 21, 2020
Benjamin Billot, Eleanor D. Robinson, Adrian V. Dalca, Juan Eugenio Iglesias

* 10 pages, 7 figures 

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A Learning Strategy for Contrast-agnostic MRI Segmentation


Mar 04, 2020
Benjamin Billot, Douglas Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca

* 18 pages, 5 figures 

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Unsupervised deep learning for Bayesian brain MRI segmentation


Apr 25, 2019
Adrian V. Dalca, Evan Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias


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Joint inference on structural and diffusion MRI for sequence-adaptive Bayesian segmentation of thalamic nuclei with probabilistic atlases


Mar 11, 2019
Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki

* 12 pages 

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Large-scale mammography CAD with Deformable Conv-Nets


Feb 19, 2019
Stephen Morrell, Zbigniew Wojna, Can Son Khoo, Sebastien Ourselin, Juan Eugenio Iglesias


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A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology


Jun 22, 2018
Juan Eugenio Iglesias, Ricardo Insausti, Garikoitz Lerma-Usabiaga, Martina Bocchetta, Koen Van Leemput, Douglas N Greve, Andre van der Kouwe, Bruce Fischl, Cesar Caballero-Gaudes, Pedro M Paz-Alonso


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


Jan 16, 2018
Juan Eugenio Iglesias, Marc Modat, Loic Peter, Allison Stevens, Roberto Annunziata, Tom Vercauteren, Ed Lein, Bruce Fischl, Sebastien Ourselin


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


Aug 27, 2017
Jonas Pichat, Juan Eugenio Iglesias, Sotiris Nousias, Tarek Yousry, Sebastien Ourselin, Marc Modat

* Paper accepted at ICCV Workshop (Bio-Image Computing) 

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Multi-Atlas Segmentation of Biomedical Images: A Survey


Jun 12, 2015
Juan Eugenio Iglesias, Mert Rory Sabuncu


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