Automatic Segmentation of Brain Tissues and MR Bias Field Correction Using a Cigital Brain Atlas. - Koen Van Leemput; Frederik Maes; Dirk Vandermeulen; Paul Suetens (MICCAI, 1998)

Automated Segmentation of MS Lesions from Multi-channel MR Images. - Koen Van Leemput; Frederik Maes; Fernando Bello; Dirk Vandermeulen; Alan C. F. Colchester; Paul Suetens (MICCAI, 1999)

Quantification of Cerebral Grey and White Matter Asymmetry from MRI. - Frederik Maes; Koen Van Leemput; Lynn E. DeLisi; Dirk Vandermeulen; Paul Suetens (MICCAI, 1999)

Automated model-based bias field correction of MR images of the brain. - Koen Van Leemput; Frederik Maes; Dirk Vandermeulen; Paul Suetens (IEEE Trans. Medical Imaging, 1999)

Automated Model-Based Tissue Classification of MR Images of the Brain. - Koen Van Leemput; Frederik Maes; Dirk Vandermeulen; Paul Suetens (IEEE Trans. Medical Imaging, 1999)

A Statistical Framework for Partial Volume Segmentation. - Koen Van Leemput; Frederik Maes; Dirk Vandermeulen; Paul Suetens (MICCAI, 2001)

Validation of Nonlinear Spatial Filtering to Improve Tissue Segmentation of MR Brain Images. - Siddharth Srivastava 005; Koen Van Leemput; Frederik Maes; Dirk Vandermeulen; Paul Suetens (MICCAI, 2001)

Automated Segmentation of Multiple Sclerosis Lesions by Model Outlier Detection. - Koen Van Leemput; Frederik Maes; Dirk Vandermeulen; Alan C. F. Colchester; Paul Suetens (IEEE Trans. Medical Imaging, 2001)

Model-Based Brain and Tumor Segmentation. - Nathan Moon; Elizabeth Bullitt; Koen Van Leemput; Guido Gerig (ICPR (1), 2002)

Automatic Brain and Tumor Segmentation. - Nathan Moon; Elizabeth Bullitt; Koen Van Leemput; Guido Gerig (MICCAI (1), 2002)

A Unifying Framework for Partial Volume Segmentation of Brain MR Images. - Koen Van Leemput; Frederik Maes; Dirk Vandermeulen; Paul Suetens (IEEE Trans. Medical Imaging, 2003)

Incorporation of quantitative knowledge into genetic information systems. - Michal J. Okoniewski; Koen Van Leemput; Piotr Gawrysiak (Intelligent Information Systems, 2004)

A Cross-Platform Software Framework for Medical Image Processing. - Koen Van Leemput; Janne Hämäläinen (MICCAI (2), 2004)

Probabilistic Brain Atlas Encoding Using Bayesian Inference. - Koen Van Leemput (MICCAI (1), 2006)

SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms. - Tim Van den Bulcke; Koen Van Leemput; Bart Naudts; Piet van Remortel; Hongwu Ma; Alain Verschoren; Bart De Moor; Kathleen Marchal (BMC Bioinform., 2006)

Validating module network learning algorithms using simulated data. - Tom Michoel; Steven Maere; Eric Bonnet; Anagha Joshi; Yvan Saeys; Tim Van den Bulcke; Koenraad Van Leemput; Piet van Remortel; Martin Kuiper; Kathleen Marchal; Yves Van de Peer (BMC Bioinform., 2007)

Model-Based Segmentation of Hippocampal Subfields in Ultra-High Resolution In Vivo MRI. - Koen Van Leemput; Akram Bakkour; Thomas Benner; Graham C. Wiggins; Lawrence L. Wald; Jean Augustinack; Bradford C. Dickerson; Polina Golland; Bruce Fischl (MICCAI (1), 2008)

JExample: Exploiting Dependencies between Tests to Improve Defect Localization. - Adrian Kuhn; Bart Van Rompaey; Lea Haensenberger; Oscar Nierstrasz; Serge Demeyer; Markus Gälli; Koenraad Van Leemput (XP, 2008)

Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data. - Koenraad Van Leemput; Tim Van den Bulcke; Thomas Dhollander; Bart De Moor; Kathleen Marchal; Piet van Remortel (Artif. Life, 2008)

Prediction of kinase-specific phosphorylation sites using conditional random fields. - Thanh Hai Dang; Koenraad Van Leemput; Alain Verschoren; Kris Laukens (Bioinform., 2008)

Joint Segmentation of Image Ensembles via Latent Atlases. - Tammy Riklin Raviv; Koen Van Leemput; William M. Wells III; Polina Golland (MICCAI (1), 2009)

Supervised Nonparametric Image Parcellation. - Mert R. Sabuncu; B. T. Thomas Yeo; Koen Van Leemput; Bruce Fischl; Polina Golland (MICCAI (1), 2009)

Asymmetric Image-Template Registration. - Mert R. Sabuncu; B. T. Thomas Yeo; Koen Van Leemput; Tom Vercauteren; Polina Golland (MICCAI (1), 2009)

Predicting the location of entorhinal cortex from MRI. - Bruce Fischl; Allison Stevens; Niranjini Rajendran; B. T. Thomas Yeo; Douglas N. Greve; Koen Van Leemput; Jonathan R. Polimeni; Sita Kakunoori; Randy L. Buckner; Jennifer L. Pacheco; David H. Salat; Jennifer Melcher; et al. (NeuroImage, 2009)

Encoding Probabilistic Brain Atlases Using Bayesian Inference. - Koen Van Leemput (IEEE Trans. Medical Imaging, 2009)

A Generative Model for Brain Tumor Segmentation in Multi-Modal Images. - Bjoern H. Menze; Koenraad Van Leemput; Danial Lashkari; Marc-André Weber; Nicholas Ayache; Polina Golland (MICCAI (2), 2010)

Flexible network reconstruction from relational databases with Cytoscape and CytoSQL. - Kris Laukens; Jens Hollunder; Thanh Hai Dang; Geert De Jaeger; Martin Kuiper; Erwin Witters; Alain Verschoren; Koenraad Van Leemput (BMC Bioinform., 2010)

Segmentation of image ensembles via latent atlases. - Tammy Riklin-Raviv; Koen Van Leemput; Bjoern H. Menze; William M. Wells III; Polina Golland (Medical Image Anal., 2010)

A Generative Model for Image Segmentation Based on Label Fusion. - Mert R. Sabuncu; B. T. Thomas Yeo; Koenraad Van Leemput; Bruce Fischl; Polina Golland (IEEE Trans. Medical Imaging, 2010)

A Generative Approach for Image-Based Modeling of Tumor Growth. - Bjoern H. Menze; Koen Van Leemput; Antti Honkela; Ender Konukoglu; Marc-André Weber; Nicholas Ayache; Polina Golland (IPMI, 2011)

The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction. - Mert R. Sabuncu; Koen Van Leemput (MICCAI (3), 2011)

A generative model for multi-atlas segmentation across modalities. - Juan Eugenio Iglesias; Mert R. Sabuncu; Koen Van Leemput (ISBI, 2012)

A Generative Model for Probabilistic Label Fusion of Multimodal Data. - Juan Eugenio Iglesias; Mert R. Sabuncu; Koen Van Leemput (MBIA, 2012)

Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry. - Juan Eugenio Iglesias; Mert R. Sabuncu; Koen Van Leemput (MICCAI (3), 2012)

The Relevance Voxel Machine (RVoxM): A Self-Tuning Bayesian Model for Informative Image-Based Prediction. - Mert R. Sabuncu; Koen Van Leemput (IEEE Trans. Medical Imaging, 2012)

An Improved Optimization Method for the Relevance Voxel Machine. - Melanie Ganz; Mert R. Sabuncu; Koen Van Leemput (MLMI, 2013)

Is Synthesizing MRI Contrast Useful for Inter-modality Analysis? - Juan Eugenio Iglesias; Ender Konukoglu; Darko Zikic; Ben Glocker; Koen Van Leemput; Bruce Fischl (MICCAI (1), 2013)

A Probabilistic, Non-parametric Framework for Inter-modality Label Fusion. - Juan Eugenio Iglesias; Mert R. Sabuncu; Koen Van Leemput (MICCAI (3), 2013)

On Feature Relevance in Image-Based Prediction Models: An Empirical Study. - Ender Konukoglu; Melanie Ganz; Koen Van Leemput; Mert R. Sabuncu (MLMI, 2013)

Fast, Sequence Adaptive Parcellation of Brain MR Using Parametric Models. - Oula Puonti; Juan Eugenio Iglesias; Koen Van Leemput (MICCAI (1), 2013)

Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry. - Juan Eugenio Iglesias; Mert R. Sabuncu; Koen Van Leemput (Medical Image Anal., 2013)

A unified framework for cross-modality multi-atlas segmentation of brain MRI. - Juan Eugenio Iglesias; Mert Rory Sabuncu; Koen Van Leemput (Medical Image Anal., 2013)

Predicting the location of human perirhinal cortex, Brodmann's area 35, from MRI. - Jean Augustinack; Kristen Huber; Allison Stevens; Michelle Roy; Matthew P. Frosch; André J. W. van der Kouwe; Lawrence L. Wald; Koen Van Leemput; Ann C. McKee; Bruce Fischl (NeuroImage, 2013)

N3 Bias Field Correction Explained as a Bayesian Modeling Method. - Christian Thode Larsen; Juan Eugenio Iglesias; Koen Van Leemput (BAMBI, 2014)

An Inference Language for Imaging. - Stefano Pedemonte; Ciprian Catana; Koen Van Leemput (BAMBI, 2014)

Improved resolution and reliability in dynamic PET using Bayesian regularization of MRTM2. - Mikael Agn; Claus Svarer; Vibe G. Frokjaer; Douglas N. Greve; Gitte Moos Knudsen; Koen Van Leemput (ISBI, 2014)

A Cautionary Analysis of STAPLE Using Direct Inference of Segmentation Truth. - Koenraad Van Leemput; Mert R. Sabuncu (MICCAI (1), 2014)

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 (Brainles@MICCAI, 2015)

Bayesian Tomographic Reconstruction Using Riemannian MCMC. - Stefano Pedemonte; Ciprian Catana; Koen Van Leemput (MICCAI (2), 2015)

Simultaneous Whole-Brain Segmentation and White Matter Lesion Detection Using Contrast-Adaptive Probabilistic Models. - Oula Puonti; Koen Van Leemput (Brainles@MICCAI, 2015)

A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI. - Juan Eugenio Iglesias; Jean C. Augustinack; Khoa Nguyen; Christopher M. Player; Allison Player; Michelle Wright; Nicole Roy; Matthew P. Frosch; Ann C. McKee; Lawrence L. Wald; Bruce Fischl; Koen Van Leemput (NeuroImage, 2015)

Bayesian segmentation of brainstem structures in MRI. - Juan Eugenio Iglesias; Koen Van Leemput; Priyanka Bhatt; Christen Casillas; Shubir Dutt; Norbert Schuff; Diana Truran-Sacrey; Adam L. Boxer; Bruce Fischl (NeuroImage, 2015)

An algorithm for optimal fusion of atlases with different labeling protocols. - Juan Eugenio Iglesias; Mert Rory Sabuncu; Iman Aganj; Priyanka Bhatt; Christen Casillas; David H. Salat; Adam L. Boxer; Bruce Fischl; Koen Van Leemput (NeuroImage, 2015)

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). - Bjoern H. Menze; András Jakab; Stefan Bauer; Jayashree Kalpathy-Cramer; Keyvan Farahani; Justin S. Kirby; Yuliya Burren; Nicole Porz; Johannes Slotboom; Roland Wiest; Levente Lanczi; Elizabeth R. Gerstner; et al. (IEEE Trans. Medical Imaging, 2015)

A generative model for segmentation of tumor and organs-at-risk for radiation therapy planning of glioblastoma patients. - Mikael Agn; Ian Law; Per Munck af Rosenschöld; Koen Van Leemput (Image Processing, 2016)

Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features. - Daniel Andreasen; Jens M. Edmund; Vasileios Zografos; Bjoern H. Menze; Koen Van Leemput (Image Processing, 2016)

Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases. - Juan Eugenio Iglesias; Koen Van Leemput; Jean Augustinack; Ricardo Insausti; Bruce Fischl; Martin Reuter 001 (NeuroImage, 2016)

Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling. - Oula Puonti; Juan Eugenio Iglesias; Koen Van Leemput (NeuroImage, 2016)

A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke. - Bjoern H. Menze; Koen Van Leemput; Danial Lashkari; Tammy Riklin-Raviv; Ezequiel Geremia; Esther Alberts; Philipp Gruber; Susanne Wegener; Marc-André Weber; Gábor Székely; Nicholas Ayache; Polina Golland (IEEE Trans. Medical Imaging, 2016)

High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas. - Zeynep M. Saygin; Dorit Kliemann; Juan Eugenio Iglesias; André J. W. van der Kouwe; Ellen Boyd; Martin Reuter 001; Allison Stevens; Koenraad Van Leemput; Alexis McKee; Matthew P. Frosch; Bruce Fischl; Jean C. Augustinack (NeuroImage, 2017)

An automatically generated texture-based atlas of the lungs. - Yashin Dicente Cid; Oula Puonti; Alexandra Platon; Koen Van Leemput; Henning Müller; Pierre-Alexandre Poletti (Computer-Aided Diagnosis, 2018)

Skull segmentation from MR scans using a higher-order shape model based on convolutional restricted Boltzmann machines. - Oula Puonti; Koen Van Leemput; Jesper Duemose Nielsen; Christian Bauer 006; Hartwig Roman Siebner; Kristoffer Hougaard Madsen; Axel Thielscher (Image Processing, 2018)

A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology. - Juan Eugenio Iglesias; Ricardo Insausti; Garikoitz Lerma-Usabiaga; Martina Bocchetta; Koen Van Leemput; Douglas N. Greve; André J. W. van der Kouwe; Bruce Fischl; César Caballero-Gaudes; Pedro M. Paz-Alonso (CoRR, 2018)

Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. - Jana Lipková; Panagiotis Angelikopoulos; Stephen Wu 001; Esther Alberts; Benedikt Wiestler; Christian Diehl; Christine Preibisch; Thomas Pyka; Stephanie Combs; Panagiotis E. Hadjidoukas; Koen Van Leemput; Petros Koumoutsakos; et al. (CoRR, 2018)

A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology. - Juan Eugenio Iglesias; Ricardo Insausti; Garikoitz Lerma-Usabiaga; Martina Bocchetta; Koen Van Leemput; Douglas N. Greve; André J. W. van der Kouwe; Bruce Fischl; César Caballero-Gaudes; Pedro M. Paz-Alonso (NeuroImage, 2018)

Semi-supervised Variational Autoencoder for Survival Prediction. - Sveinn Pálsson; Stefano Cerri; Andrea Dittadi; Koen Van Leemput (BrainLes@MICCAI (2), 2019)

Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases. - Juan Eugenio Iglesias; Koen Van Leemput; Polina Golland; Anastasia Yendiki (IPMI, 2019)

Fast Nonparametric Mutual-Information-based Registration and Uncertainty Estimation. - Mikael Agn; Koen Van Leemput (UNSURE/CLIP@MICCAI, 2019)

Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors. - Maria Inês Meyer; Ezequiel de la Rosa; Koen Van Leemput; Diana Maria Sima (OR/MLCN@MICCAI, 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)

PSACNN: Pulse sequence adaptive fast whole brain segmentation. - Amod Jog; Andrew Hoopes; Douglas N. Greve; Koen Van Leemput; Bruce Fischl (NeuroImage, 2019)

Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference. - Jana Lipková; Panagiotis Angelikopoulos; Stephen Wu 001; Esther Alberts; Benedikt Wiestler; Christian Diehl; Christine Preibisch; Thomas Pyka; Stephanie Combs; Panagiotis E. Hadjidoukas; Koen Van Leemput; Petros Koumoutsakos; et al. (IEEE Trans. Medical Imaging, 2019)

A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis. - Stefano Cerri; Andrew Hoopes; Douglas N. Greve; Mark Mühlau; Koen Van Leemput (MLCN/RNO-AI@MICCAI, 2020)

3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology. - Henry F. J. Tregidgo; Adrià Casamitjana; Caitlin Latimer; Mitchell Kilgore; Eleanor D. Robinson; Emily Blackburn; Koen Van Leemput; Bruce Fischl; Adrian V. Dalca; Christine L. Mac Donald; Dirk Keene; Juan Eugenio Iglesias (MICCAI (5), 2020)

A Learning Strategy for Contrast-agnostic MRI Segmentation. - Benjamin Billot; Douglas N. Greve; Koen Van Leemput; Bruce Fischl; Juan Eugenio Iglesias; Adrian V. Dalca (MIDL, 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)

Prediction of MGMT Methylation Status of Glioblastoma Using Radiomics and Latent Space Shape Features. - Sveinn Pálsson; Stefano Cerri; Koen Van Leemput (BrainLes@MICCAI (2), 2021)

Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs. - Benjamin Billot; Stefano Cerri; Koen Van Leemput; Adrian V. Dalca; Juan Eugenio Iglesias (ISBI, 2021)

An Augmentation Strategy to Mimic Multi-Scanner Variability in MRI. - Maria Inês Meyer; Ezequiel de la Rosa; Nuno Pedrosa de Barros; Roberto Paolella; Koen Van Leemput; Diana Maria Sima (ISBI, 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)

Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images. - Sveinn Pálsson; Stefano Cerri; Hans Skovgaard Poulsen; Thomas Urup; Ian Law; Koen Van Leemput (CoRR, 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)

Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer - ASEG and SAMSEG. - Donatas Sederevicius; Dídac Vidal-Piñeiro; Øystein Sørensen; Koenraad Van Leemput; Juan Eugenio Iglesias; Adrian V. Dalca; Douglas N. Greve; Bruce Fischl; Atle Bjørnerud; Kristine B. Walhovd; Anders M. Fjell (NeuroImage, 2021)

Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model. - Chiara Mauri; Stefano Cerri; Oula Puonti; Mark Mühlau; Koen Van Leemput (MICCAI (8), 2022)

An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation. - Stefano Cerri; Douglas N. Greve; Andrew Hoopes; Henrik Lundell; Hartwig R. Siebner; Mark Mühlau; Koen Van Leemput (CoRR, 2022)

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma. - Dominic LaBella; Maruf Adewole; Michelle Alonso-Basanta; Talissa Altes; Syed Muhammad Anwar; Ujjwal Baid; Timothy Bergquist; Radhika Bhalerao; Sully F. Chen; Verena Chung; Gian Marco Conte; Farouk Dako; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). - Hongwei Bran Li; Gian Marco Conte; Syed Muhammad Anwar; Florian Kofler; Koen Van Leemput; Marie Piraud; Ivan Ezhov; Felix Meissen; Maruf Adewole; Anastasia Janas; Anahita Fathi Kazerooni; Dominic LaBella; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Syed Muhammad Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa). - Maruf Adewole; Jeffrey D. Rudie; Anu Gbadamosi; Oluyemisi Toyobo; Raymond Confidence; Dong Zhang 009; Olubukola Omidiji; Rachel Akinola; Mohammad Abba Suwaid; Adaobi Emegoakor; Nancy Ojo; Kenneth Aguh; et al. (CoRR, 2023)

A Lightweight Causal Model for Interpretable Subject-level Prediction. - Chiara Mauri; Stefano Cerri; Oula Puonti; Mark Mühlau; Koen Van Leemput (CoRR, 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., 2023)

Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas. - Henry F. J. Tregidgo; Sonja Soskic; Juri Althonayan; Chiara Maffei; Koen Van Leemput; Polina Golland; Ricardo Insausti; Garikoitz Lerma-Usabiaga; César Caballero-Gaudes; Pedro M. Paz-Alonso; Anastasia Yendiki; Daniel C. Alexander; et al. (NeuroImage, 2023)

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs). - Anahita Fathi Kazerooni; Nastaran Khalili; Deep Gandhi; Xinyang Liu; Zhifan Jiang; Syed Muhammed Anwar; Jake Albrecht; Maruf Adewole; Udunna Anazodo; Hannah Anderson; Sina Bagheri; Ujjwal Baid; et al. (CoRR, 2024)

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. - Dominic LaBella; Ujjwal Baid; Omaditya Khanna; Shan McBurney-Lin; Ryan McLean; Pierre Nedelec; Arif Rashid; Nourel Hoda Tahon; Talissa Altes; Radhika Bhalerao; Yaseen Dhemesh; Devon Godfrey; et al. (CoRR, 2024)

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023. - Anahita Fathi Kazerooni; Nastaran Khalili; Xinyang Liu; Debanjan Haldar; Zhifan Jiang; Anna Zapaishchykova; Julija Pavaine; Lubdha M. Shah; Blaise V. Jones; Nakul Sheth; Sanjay P. Prabhu; Aaron S. McAllister; et al. (CoRR, 2024)

A Constrast-Agnostic Method for Ultra-High Resolution Claustrum Segmentation. - Chiara Mauri; Ryan Fritz; Jocelyn Mora; Benjamin Billot; Juan Eugenio Iglesias; Koen Van Leemput; Jean Augustinack; Douglas N. Greve (CoRR, 2024)

Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging. - Xiaoling Hu 002; Karthik Gopinath; Peirong Liu; Malte Hoffmann; Koen Van Leemput; Oula Puonti; Juan Eugenio Iglesias (ICLR, 2025)

A lightweight generative model for interpretable subject-level prediction. - Chiara Mauri; Stefano Cerri; Oula Puonti; Mark Mühlau; Koen Van Leemput (Medical Image Anal., 2025)