Oula Puonti

According to our database, Oula Puonti authored at least 29 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Xiaoling Hu, Annabel Sorby-Adams, Frederik Barkhof, W. Taylor Kimberly, Oula Puonti, Juan Eugenio Iglesias

CoRR, 2024

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

Peirong Liu, Oula Puonti, Annabel Sorby-Adams, William T. Kimberly, Juan Eugenio Iglesias

CoRR, 2024

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

Lívia Rodrigues, Martina Bocchetta, Oula Puonti, Douglas N. Greve, Ana Carolina Londe, Marcondes França, Simone Appenzeller, Juan Eugenio Iglesias, Letícia Rittner

CoRR, 2024

2023

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

Kathleen Mantell, Nipun D. Perera, Sina Shirinpour, Oula Puonti, Ting Xu, Jan Zimmermann, Arnaud Falchier, Sarah R. Heilbronner, Axel Thielscher, Alexander Opitz

NeuroImage, October, 2023

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

Jesper D. Nielsen, Oula Puonti, Rong Xue, Axel Thielscher, Kristoffer Hougaard Madsen

NeuroImage, August, 2023

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

SeyedSina Hosseini, Oula Puonti, Bradley E. Treeby, Lars G. Hanson, Axel Thielscher

NeuroImage, August, 2023

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

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

Medical Image Anal., May, 2023

Quantifying white matter hyperintensity and brain volumes in heterogeneous clinical and low-field portable MRI.

Pablo Laso, Stefano Cerri, Annabel Sorby-Adams, Jennifer Guo, Farrah Mateen, Philipp Goebl, Jiaming Wu, Peirong Liu, Hongwei Li, Sean I. Young, Benjamin Billot, Oula Puonti, Gordon Sze, Sam Payabavash, Adam DeHavenon, Kevin N. Sheth, Matthew S. Rosen, John Kirsch, Nicola Strisciuglio, Jelmer M. Wolterink, Arman Eshaghi, Frederik Barkhof, W. Taylor Kimberly, Juan Eugenio Iglesias

CoRR, 2023

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

Peirong Liu, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan Eugenio Iglesias

CoRR, 2023

A Lightweight Causal Model for Interpretable Subject-level Prediction.

Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput

CoRR, 2023

2022

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

Søren Asp Fuglsang, Kristoffer H. Madsen, Oula Puonti, Jens Hjortkjær, Hartwig R. Siebner

NeuroImage, 2022

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

Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput

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.

Hasan H. Eroglu, Oula Puonti, Cihan Göksu, Fróði Gregersen, Hartwig R. Siebner, Lars G. Hanson, Axel Thielscher

NeuroImage, 2021

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

Stefano Cerri, Oula Puonti, Dominik S. Meier, Jens Wuerfel, Mark Mühlau, Hartwig R. Siebner, Koen Van Leemput

NeuroImage, 2021

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

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

CoRR, 2021

2020

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

Oula Puonti, Guilherme B. Saturnino, Kristoffer Hougaard Madsen, Axel Thielscher

NeuroImage, 2020

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

Oula Puonti, Koen Van Leemput, Guilherme B. Saturnino, Hartwig R. Siebner, Kristoffer H. Madsen, Axel Thielscher

NeuroImage, 2020

2019

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

Mikael Agn, Per Munck af Rosenschöld, Oula Puonti, Michael J. Lundemann, Laura Mancini, Anastasia Papadaki, Steffi Thust, John Ashburner, Ian Law, Koen Van Leemput

Medical Image Anal., 2019

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

Silvia Farcito, Oula Puonti, Hazael Montanaro, Guilherme B. Saturnino, Jesper D. Nielsen, Camilla Gøbel Madsen, Hartwig R. Siebner, Esra Neufeld, Niels Kuster, Bryn A. Lloyd, Axel Thielscher

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.

Jesper D. Nielsen, Kristoffer Hougaard Madsen, Oula Puonti, Hartwig R. Siebner, Christian Bauer, Camilla Gøbel Madsen, Guilherme B. Saturnino, Axel Thielscher

NeuroImage, 2018

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

Nya Mehnwolo Boayue, Gábor Csifcsák, Oula Puonti, Axel Thielscher, Matthias Mittner

F1000Research, 2018

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

Oula Puonti, Koen Van Leemput, Jesper D. Nielsen, Christian Bauer, Hartwig Roman Siebner, Kristoffer Hougaard Madsen, Axel Thielscher

Proceedings of the Medical Imaging 2018: Image Processing, 2018

An automatically generated texture-based atlas of the lungs.

Yashin Dicente Cid, Oula Puonti, Alexandra Platon, Koen Van Leemput, Henning Müller, 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.

Oula Puonti

PhD thesis, 2016

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

Oula Puonti, Juan Eugenio Iglesias, Koen Van Leemput

NeuroImage, 2016

2015

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

Mark Lyksborg, Oula Puonti, Mikael Agn, Rasmus Larsen

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

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

Oula Puonti, Koen Van Leemput

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.

Mikael Agn, Oula Puonti, Per Munck af Rosenschöld, Ian Law, Koen Van Leemput

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

2013

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

Oula Puonti, Juan Eugenio Iglesias, Koen Van Leemput

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013