Oula Puonti

CoRR, 2024

Recon-all-clinical: Cortical surface reconstruction and analysis of heterogeneous clinical brain MRI.

[BibT_eX]

[DOI]

CoRR, 2024

High-resolution segmentations of the hypothalamus and its subregions for training of segmentation models.

[BibT_eX]

[DOI]

CoRR, 2024

PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI.

[BibT_eX]

[DOI]

CoRR, 2024

H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation.

[BibT_eX]

[DOI]

Letícia Rittner

CoRR, 2024

Registration by Regression (RbR): A Framework for Interpretable and Flexible Atlas Registration.

[BibT_eX]

[DOI]

Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

P-Count: Persistence-Based Counting of White Matter Hyperintensities in Brain MRI.

[BibT_eX]

[DOI]

Proceedings of the Topology- and Graph-Informed Imaging Informatics, 2024

Quantifying White Matter Hyperintensity and Brain Volumes in Heterogeneous Clinical and Low-Field Portable MRI.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Brain-ID: Learning Contrast-Agnostic Anatomical Representations for Brain Imaging.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Anatomical details affect electric field predictions for non-invasive brain stimulation in non-human primates.

[BibT_eX]

[DOI]

NeuroImage, October, 2023

Evaluating the influence of anatomical accuracy and electrode positions on EEG forward solutions.

[BibT_eX]

[DOI]

NeuroImage, August, 2023

A head template for computational dose modelling for transcranial focused ultrasound stimulation.

[BibT_eX]

[DOI]

NeuroImage, August, 2023

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining.

[BibT_eX]

[DOI]

Medical Image Anal., May, 2023

Brain-ID: Learning Robust Feature Representations for Brain Imaging.

[BibT_eX]

[DOI]

CoRR, 2023

A Lightweight Causal Model for Interpretable Subject-level Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Mapping cortico-subcortical sensitivity to 4 Hz amplitude modulation depth in human auditory system with functional MRI.

[BibT_eX]

[DOI]

NeuroImage, 2022

Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

On the reconstruction of magnetic resonance current density images of the human brain: Pitfalls and perspectives.

[BibT_eX]

[DOI]

NeuroImage, 2021

A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis.

[BibT_eX]

[DOI]

NeuroImage, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

2020

Value and limitations of intracranial recordings for validating electric field modeling for transcranial brain stimulation.

[BibT_eX]

[DOI]

NeuroImage, 2020

Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling.

[BibT_eX]

[DOI]

Hartwig R. Siebner

Kristoffer H. Madsen

NeuroImage, 2020

2019

A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning.

[BibT_eX]

[DOI]

Mikael Agn

Per Munck af Rosenschöld

Medical Image Anal., 2019

Accurate anatomical head segmentations: a data set for biomedical simulations.

[BibT_eX]

[DOI]

Silvia Farcito

Hazael Montanaro

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Automatic skull segmentation from MR images for realistic volume conductor models of the head: Assessment of the state-of-the-art.

[BibT_eX]

[DOI]

Jesper D. Nielsen

NeuroImage, 2018

Head models of healthy and depressed adults for simulating the effects of non-invasive brain stimulation.

[BibT_eX]

[DOI]

F1000Research, 2018

Skull segmentation from MR scans using a higher-order shape model based on convolutional restricted Boltzmann machines.

[BibT_eX]

[DOI]

Hartwig Roman Siebner

Proceedings of the Medical Imaging 2018: Image Processing, 2018

An automatically generated texture-based atlas of the lungs.

[BibT_eX]

[DOI]

Pierre-Alexandre Poletti

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2016

Computational Analysis of Brain Images: Towards a Useful Tool in Clinical Practice.

[BibT_eX]

[DOI]

PhD thesis, 2016

Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling.

[BibT_eX]

[DOI]

NeuroImage, 2016

2015

An Ensemble of 2D Convolutional Neural Networks for Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

Simultaneous Whole-Brain Segmentation and White Matter Lesion Detection Using Contrast-Adaptive Probabilistic Models.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape.

[BibT_eX]

[DOI]

Mikael Agn

Per Munck af Rosenschöld

Ian Law

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

2013

Fast, Sequence Adaptive Parcellation of Brain MR Using Parametric Models.

[BibT_eX]

[DOI]