A computational model for bipolar deep brain stimulation of the subthalamic nucleus. - Maria Ida Iacono; Esra Neufeld; Giorgio Bonmassar; Esther Akinnagbe; András Jakab; Ethan Cohen; Niels Kuster; Wolfgang Kainz; Leonardo M. Angelone (EMBC, 2014)

A Locally Linear Method for Enforcing Temporal Smoothness in Serial Image Registration. - Ernst Schwartz; András Jakab; Gregor Kasprian; Lilla Zöllei; Georg Langs (STIA, 2014)

Overview of the VISCERAL Challenge at ISBI 2015. - Orcun Goksel; Antonio Foncubierta-Rodríguez; Oscar Alfonso Jiménez del Toro; Henning Müller; Georg Langs; Marc-André Weber; Bjoern H. Menze; Ivan Eggel; Katharina Gruenberg; Marianne Winterstein; Markus Holzer 003; Markus Krenn; et al. (VISCERAL Challenge@ISBI, 2015)

Disrupted developmental organization of the structural connectome in fetuses with corpus callosum agenesis. - András Jakab; Gregor Kasprian; Ernst Schwartz; Gerlinde Maria Gruber; Christian Mitter; Daniela Prayer; Veronika Schöpf; Georg Langs (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)

Modeling Fetal Cortical Expansion Using Graph-Regularized Gompertz Models. - Ernst Schwartz; Gregor Kasprian; András Jakab; Daniela Prayer; Veronika Schöpf; Georg Langs (MICCAI (1), 2016)

Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks. - Oscar Alfonso Jiménez del Toro; Henning Müller; Markus Krenn; Katharina Gruenberg; Abdel Aziz Taha; Marianne Winterstein; Ivan Eggel; Antonio Foncubierta-Rodríguez; Orcun Goksel; András Jakab; Georgios Kontokotsios; Georg Langs; et al. (IEEE Trans. Medical Imaging, 2016)

Ethical and Privacy Aspects of Using Medical Image Data. - Katharina Grünberg; András Jakab; Georg Langs; Tomas Salas Fernandez; Marianne Winterstein; Marc-André Weber; Markus Krenn; Oscar Alfonso Jiménez del Toro (Cloud-Based Benchmarking of Medical Image Analysis, 2017)

Annotating Medical Image Data. - Katharina Grünberg; Oscar Alfonso Jiménez del Toro; András Jakab; Georg Langs; Tomas Salas Fernandez; Marianne Winterstein; Marc-André Weber; Markus Krenn (Cloud-Based Benchmarking of Medical Image Analysis, 2017)

Datasets Created in VISCERAL. - Markus Krenn; Katharina Grünberg; Oscar Alfonso Jiménez del Toro; András Jakab; Tomàs Salas Fernandez; Marianne Winterstein; Marc-André Weber; Georg Langs (Cloud-Based Benchmarking of Medical Image Analysis, 2017)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

Implicit Modeling With Uncertainty Estimation For Intravoxel Incoherent Motion Imaging. - Lin Zhang 031; Valeriy Vishnevskiy; András Jakab; Orcun Goksel (ISBI, 2019)

Longitudinal Analysis of Fetal MRI in Patients with Prenatal Spina Bifida Repair. - Kelly Payette; Ueli Moehrlen; Luca Mazzone; Nicole Ochsenbein-Kölble; Ruth Tuura; Raimund Kottke; Martin Meuli; András Jakab (SUSI/PIPPI@MICCAI, 2019)

Efficient Multi-class Fetal Brain Segmentation in High Resolution MRI Reconstructions with Noisy Labels. - Kelly Payette; Raimund Kottke; András Jakab (ASMUS/PIPPI@MICCAI, 2020)

A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset. - Kelly Payette; Priscille de Dumast; Hamza Kebiri; Ivan Ezhov; Johannes C. Paetzold; Suprosanna Shit; Asim Iqbal; Romesa Khan; Raimund Kottke; Patrice Grehten; Hui Ji; Levente Lanczi; et al. (CoRR, 2020)

Inhibition is associated with whole-brain structural brain connectivity on network level in school-aged children born very preterm and at term. - Vera Disselhoff; András Jakab; Barbara Schnider; Beatrice Latal; Flavia M. Wehrle; Cornelia F. Hagmann (NeuroImage, 2020)

Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber Phantom. - Hamza Kebiri; Hélène Lajous; Yasser Alemán-Gómez; Gabriel Girard; Erick Jorge Canales-Rodríguez; Sébastien Tourbier; Marco Pizzolato; Jean-Baptiste Ledoux; Eleonora Fornari; András Jakab; Meritxell Bach Cuadra (CDMRI@MICCAI, 2021)

The Federated Tumor Segmentation (FeTS) Challenge. - Sarthak Pati; Ujjwal Baid; Maximilian Zenk; Brandon Edwards; Micah J. Sheller; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Jason Martin; Shadi Albarqouni; Yong Chen 016; Russell Taki Shinohara; et al. (CoRR, 2021)

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. - Ujjwal Baid; Satyam Ghodasara; Michel Bilello; Suyash Mohan; Evan Calabrese; Errol Colak; Keyvan Farahani; Jayashree Kalpathy-Cramer; Felipe C. Kitamura; Sarthak Pati; Luciano M. Prevedello; Jeffrey D. Rudie; et al. (CoRR, 2021)

FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom. - Hélène Lajous; Christopher W. Roy; Tom Hilbert; Priscille de Dumast; Sébastien Tourbier; Yasser Alemán-Gómez; Jérôme Yerly; Thomas Yu; Hamza Kebiri; Kelly Payette; Jean-Baptiste Ledoux; Reto Meuli; et al. (CoRR, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

Synthetic Magnetic Resonance Images for Domain Adaptation: Application to Fetal Brain Tissue Segmentation. - Priscille de Dumast; Hamza Kebiri; Kelly Payette; András Jakab; Hélène Lajous; Meritxell Bach Cuadra (ISBI, 2022)

Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders. - Hamza Kebiri; Gabriel Girard; Yasser Alemán-Gómez; Thomas Yu; András Jakab; Erick Jorge Canales-Rodríguez; Meritxell Bach Cuadra (CDMRI@MICCAI, 2022)

Fetal Brain Tissue Annotation and Segmentation Challenge Results. - Kelly Payette; Hongwei Li 004; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (CoRR, 2022)

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)

FetMRQC: an open-source machine learning framework for multi-centric fetal brain MRI quality control. - Thomas Sanchez; Oscar Esteban; Yvan Gomez; Alexandre Pron; Mériam Koob; Vincent Dunet; Nadine Girard; András Jakab; Elisenda Eixarch; Guillaume Auzias; Meritxell Bach Cuadra (CoRR, 2023)

Fetal brain tissue annotation and segmentation challenge results. - Kelly Payette; Hongwei Bran Li; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (Medical Image Anal., 2023)

Assessing Data Quality on Fetal Brain MRI Reconstruction: A Multi-site and Multi-rater Study. - Thomas Sanchez; Angeline Mihailov; Yvan Gomez; Gerard Martí-Juan; Elisenda Eixarch; András Jakab; Vincent Dunet; Mériam Koob; Guillaume Auzias; Meritxell Bach Cuadra (PIPPI@MICCAI, 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)

Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation. - Dominic LaBella; Katherine Schumacher; Michael Mix; Kevin Leu; Shan McBurney-Lin; Pierre Nedelec; Javier E. Villanueva-Meyer; Jonathan Shapey; Tom Vercauteren; Kazumi Chia; Omar Al-Salihi; Justin Leu; et al. (CoRR, 2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - Hongwei Bran Li; Fernando Navarro; Ivan Ezhov; Amirhossein Bayat; Dhritiman Das; Florian Kofler; Suprosanna Shit; Diana Waldmannstetter; Johannes C. Paetzold; Xiaobin Hu; Benedikt Wiestler; Lucas Zimmer; et al. (CoRR, 2024)

FetMRQC: A robust quality control system for multi-centric fetal brain MRI. - Thomas Sanchez; Oscar Esteban; Yvan Gomez; Alexandre Pron; Mériam Koob; Vincent Dunet; Nadine Girard; András Jakab; Elisenda Eixarch; Guillaume Auzias; Meritxell Bach Cuadra (Medical Image Anal., 2024)

A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation. - Lucas Fidon; Michael Aertsen; Florian Kofler; Andrea Bink; Anna L. David; Thomas Deprest; Doaa Emam; Frédéric Guffens; András Jakab; Gregor Kasprian; Patric Kienast; Andrew Melbourne; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

OSBA: An Open Neonatal Neuroimaging Atlas and Template for Spina Bifida Aperta. - Anna Speckert; Hui Ji; Kelly Payette; Patrice Grehten; Raimund Kottke; Samuel Ackermann; Beth Padden; Luca Mazzone; Ueli Moehrlen; Spina Bifida Study Group Zurich; András Jakab (Data, 2024)

Pathological MRI Segmentation by Synthetic Pathological Data Generation in Fetuses and Neonates. - Misha P. T. Kaandorp; Damola Agbelese; Hosna Asma-ull; Hyun Gi Kim; Kelly Payette; Patrice Grehten; Gennari Antonio Giulio; Levente István Lánczi; András Jakab (CoRR, 2025)

Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction. - Thomas Sanchez; Vladyslav Zalevskyi; Angeline Mihailov; Gerard Martí-Juan; Elisenda Eixarch; András Jakab; Vincent Dunet; Mériam Koob; Guillaume Auzias; Meritxell Bach Cuadra (CoRR, 2025)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)

Towards contrast- and pathology-agnostic clinical fetal brain MRI segmentation using SynthSeg. - Ziyao Shang; Misha P. T. Kaandorp; Kelly Payette; Marina Fernandez Garcia; Roxane Licandro; Georg Langs; Jordina Aviles Verdera; Jana Hutter; Bjoern H. Menze; Gregor Kasprian; Meritxell Bach Cuadra; András Jakab (CoRR, 2025)

Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge. - Vladyslav Zalevskyi; Thomas Sanchez; Misha P. T. Kaandorp; Margaux Roulet; Diego Fajardo Rojas; Liu Li; Jana Hutter; Hongwei Bran Li; Matthew J. Barkovich; Hui Ji; Luca Wilhelmi; Aline Dändliker; et al. (CoRR, 2025)

Enhancing efficiency in paediatric brain tumour segmentation using a pathologically diverse single-center clinical dataset. - Arianna Piffer; Josef A. Buchner; Gennari Antonio Giulio; Patrice Grehten; S. Sirin; E. Ross; Ivan Ezhov; Marcel Rosier; Jan Peeken; Marie Piraud; Bjoern H. Menze; A. Guerreiro Stücklin; et al. (CoRR, 2025)