Juan Eugenio Iglesias
Orcid: 0000-0001-7569-173XAffiliations:
- University College London, Department of Medical Physics and Biomedical Engineering, UK
- Massachusetts General Hospital and Harvard Medical School, USA
According to our database1,
Juan Eugenio Iglesias
authored at least 114 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
On csauthors.net:
Bibliography
2024
CoRR, 2024
CoRR, 2024
H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation.
CoRR, 2024
JUMP: A joint multimodal registration pipeline for neuroimaging with minimal preprocessing.
CoRR, 2024
2023
Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas.
NeuroImage, July, 2023
IEEE Trans. Medical Imaging, June, 2023
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining.
Medical Image Anal., May, 2023
Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting.
npj Digit. Medicine, 2023
Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI.
CoRR, 2023
Resolution- and Stimulus-agnostic Super-Resolution of Ultra-High-Field Functional MRI: Application to Visual Studies.
CoRR, 2023
USLR: an open-source tool for unbiased and smooth longitudinal registration of brain MR.
CoRR, 2023
Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI.
CoRR, 2023
Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach.
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023
The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.
CoRR, 2023
Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Robust and Generalisable Segmentation of Subtle Epilepsy-Causing Lesions: A Graph Convolutional Approach.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Cortical Analysis of Heterogeneous Clinical Brain MRI Scans for Large-Scale Neuroimaging Studies.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
IEEE Trans. Medical Imaging, 2022
Neuroinformatics, 2022
High-resolution atlasing and segmentation of the subcortex: Review and perspective on challenges and opportunities created by machine learning.
NeuroImage, 2022
Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas.
Medical Image Anal., 2022
Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length.
Medical Image Anal., 2022
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images.
CoRR, 2022
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets.
CoRR, 2022
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining.
CoRR, 2022
SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and No Retraining.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms.
IEEE Trans. Medical Imaging, 2021
Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer - ASEG and SAMSEG.
NeuroImage, 2021
Quantification of volumetric morphometry and optical property in the cortex of human cerebellum at micrometer resolution.
NeuroImage, 2021
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast.
NeuroImage, 2021
A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images.
NeuroImage, 2021
SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution.
CoRR, 2021
Synth-by-Reg (SbR): Contrastive Learning for Synthesis-Based Registration of Paired Images.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0-2 years.
NeuroImage, 2020
Test-retest reliability of FreeSurfer automated hippocampal subfield segmentation within and across scanners.
NeuroImage, 2020
NeuroImage, 2020
J. Open Source Softw., 2020
Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications.
CoRR, 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.
CoRR, 2020
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Hierarchical Joint Registration of Tissue Blocks With Soft Shape Constraints For Large-Scale Histology of The Human Brain.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases.
Proceedings of the Information Processing in Medical Imaging, 2019
2018
A probabilistic atlas of the human thalamic nuclei combining <i>ex vivo</i> MRI and histology.
NeuroImage, 2018
Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections.
Medical Image Anal., 2018
A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain.
Frontiers Neuroinformatics, 2018
A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology.
CoRR, 2018
Technical note: probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking. Application to fetoscopy.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
A Probabilistic Model Combining Deep Learning and Multi-atlas Segmentation for Semi-automated Labelling of Histology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas.
NeuroImage, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
Proceedings of the Information Processing in Medical Imaging, 2017
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
2016
Heritability and reliability of automatically segmented human hippocampal formation subregions.
NeuroImage, 2016
Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling.
NeuroImage, 2016
Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases.
NeuroImage, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Simultaneous Bayesian correction of slab boundary artifacts and bias field for high resolution ex vivo MRI.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Quantitative comparison of 21 protocols for labeling hippocampal subfields and parahippocampal subregions in in vivo MRI: Towards a harmonized segmentation protocol.
NeuroImage, 2015
NeuroImage, 2015
A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI.
NeuroImage, 2015
Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2014
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014
2013
Deformable Templates Guided Discriminative Models for Robust 3D Brain MRI Segmentation.
Neuroinformatics, 2013
Medical Image Anal., 2013
Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry.
Medical Image Anal., 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
2012
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012
Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Robust Brain Extraction Across Datasets and Comparison With Publicly Available Methods.
IEEE Trans. Medical Imaging, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Entangled Decision Forests and Their Application for Semantic Segmentation of CT Images.
Proceedings of the Information Processing in Medical Imaging, 2011
Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning.
Proceedings of the Information Processing in Medical Imaging, 2011
2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Fusing adaptive atlas and informative features for robust 3D brain image segmentation.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Robust Initial Detection of Landmarks in Film-Screen Mammograms Using Multiple FFDM Atlases.
IEEE Trans. Medical Imaging, 2009
Proceedings of the AMIA 2009, 2009
2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007