Examining the gateway to the limbic system with diffusion tensor imaging: The perforant pathway in dementia. - Peter Kalus; Johannes Slotboom; Jürgen Gallinat; Richard Mahlberg; Katja Cattapan-Ludewig; Roland Wiest; Thomas Nyffeler; Caroline Buri; Andrea Federspiel; Dieter Kunz; Gerhard Schroth; Claus Kiefer (NeuroImage, 2006)

BOLD correlates of continuously fluctuating epileptic activity isolated by independent component analysis. - Kay Jann; Roland Wiest; Martinus Hauf; Klaus Meyer; Chris Boesch; Johannes Mathis; Gerhard Schroth; Thomas Dierks; Thomas Koenig (NeuroImage, 2008)

Multi-parametric classification of Alzheimer's disease and mild cognitive impairment: The impact of quantitative magnetization transfer MR imaging. - Claus Kiefer; Lisa Brockhaus; Katja Cattapan-Ludewig; Pietro Ballinari; Yuliya Burren; Gerhard Schroth; Roland Wiest (NeuroImage, 2009)

Semantic memory involvement in the default mode network: A functional neuroimaging study using independent component analysis. - Miranka Wirth; Kay Jann; Thomas Dierks; Andrea Federspiel; Roland Wiest; Helge Horn (NeuroImage, 2011)

Reduced Cerebral Blood Flow Within the Default-Mode Network and Within Total Gray Matter in Major Depression. - Ariane Orosz; Kay Jann; Andrea Federspiel; Helge Horn; Oliver Höfle; Thomas Dierks; Roland Wiest; Werner Strik; Thomas Müller 006; Sebastian Walther (Brain Connect., 2012)

The link between visual exploration and neuronal activity: A multi-modal study combining eye tracking, functional magnetic resonance imaging and transcranial magnetic stimulation. - Silvia Chaves; Patrizia Vannini; Kay Jann; Pascal Wurtz; Andrea Federspiel; Thomas Nyffeler; Mathias Luethi; Daniela Hubl; Roland Wiest; Thomas Dierks; René Müri (NeuroImage, 2012)

A multi-center study: Intra-scan and inter-scan variability of diffusion spectrum imaging. - Alia Lemkaddem; Alessandro Daducci; Serge Vulliémoz; Kieran O'Brien; François Lazeyras; Martinus Hauf; Roland Wiest; Reto Meuli; Margitta Seeck; Gunnar Krueger; Jean-Philippe Thiran (NeuroImage, 2012)

Theta burst TMS increases cerebral blood flow in the primary motor cortex during motor performance as assessed by arterial spin labeling (ASL). - Ariane Orosz; Kay Jann; Miranka Wirth; Roland Wiest; Thomas Dierks; Andrea Federspiel (NeuroImage, 2012)

A Systems-Level Approach to Human Epileptic Seizures. - Christian Rummel; Marc Goodfellow; Heidemarie Gast; Martinus Hauf; Frédérique Amor; Alexander Stibal; Luigi Mariani; Roland Wiest; Kaspar Schindler (Neuroinformatics, 2013)

Towards automatic MRI volumetry for treatment selection in acute ischemic stroke patients. - Stefan Bauer; Pascal P. Gratz; Jan Gralla; Mauricio Reyes 001; Roland Wiest (EMBC, 2014)

Interactive segmentation of MR images from brain tumor patients. - Stefan Bauer; Nicole Porz; Raphael Meier; Alessia Pica; Johannes Slotboom; Roland Wiest; Mauricio Reyes 001 (ISBI, 2014)

Patient-Specific Semi-supervised Learning for Postoperative Brain Tumor Segmentation. - Raphael Meier; Stefan Bauer; Johannes Slotboom; Roland Wiest; Mauricio Reyes 001 (MICCAI (1), 2014)

Segmenting the Ischemic Penumbra: A Decision Forest Approach with Automatic Threshold Finding. - Richard McKinley; Levin Häni; Roland Wiest; Mauricio Reyes 001 (Brainles@MICCAI, 2015)

Parameter Learning for CRF-Based Tissue Segmentation of Brain Tumors. - Raphael Meier; Venetia Karamitsou; Simon Habegger; Roland Wiest; Mauricio Reyes 001 (Brainles@MICCAI, 2015)

Rivalry of homeostatic and sensory-evoked emotions: Dehydration attenuates olfactory disgust and its neural correlates. - Lea Meier; Hergen Friedrich; Andrea Federspiel; Kay Jann; Yosuke Morishima; Basile Nicolas Landis; Roland Wiest; Werner Strik; Thomas Dierks (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)

Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation. - Richard McKinley; Rik Wepfer; Tom Gundersen; Franca Wagner; Andrew Chan; Roland Wiest; Mauricio Reyes 001 (BrainLes@MICCAI, 2016)

CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias. - Raphael Meier; Urspeter Knecht; Roland Wiest; Mauricio Reyes 001 (BrainLes@MICCAI, 2016)

Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction. - Alain Jungo; Richard McKinley; Raphael Meier; Urspeter Knecht; Luis Vera; Julián Pérez-Beteta; David Molina-García; Víctor M. Pérez-García; Roland Wiest; Mauricio Reyes 001 (BrainLes@MICCAI, 2017)

Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation. - Richard McKinley; Alain Jungo; Roland Wiest; Mauricio Reyes 001 (BrainLes@MICCAI, 2017)

Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs. - Raphael Meier; Urspeter Knecht; Alain Jungo; Roland Wiest; Mauricio Reyes 001 (CoRR, 2017)

Fast and uncertainty-aware cerebral cortex morphometry estimation using random forest regression. - Yannick Suter; Christian Rummel; Roland Wiest; Mauricio Reyes 001 (ISBI, 2018)

CT Brain Perfusion: A Clinical Perspective. - Arsany Hakim; Roland Wiest (BrainLes@MICCAI (1), 2018)

Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning. - Andreas Hess 005; Raphael Meier; Johannes Kaesmacher; Simon Jung; Fabien Scalzo; David S. Liebeskind; Roland Wiest; Richard McKinley (BrainLes@MICCAI (1), 2018)

On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation. - Alain Jungo; Raphael Meier; Ekin Ermis; Marcela Blatti-Moreno; Evelyn Herrmann; Roland Wiest; Mauricio Reyes 001 (MICCAI (1), 2018)

Ensembles of Densely-Connected CNNs with Label-Uncertainty for Brain Tumor Segmentation. - Richard McKinley; Raphael Meier; Roland Wiest (BrainLes@MICCAI (2), 2018)

Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction. - Adriano Pinto; Sérgio Pereira; Raphael Meier; Victor Alves; Roland Wiest; Carlos A. Silva 002; Mauricio Reyes 001 (MICCAI (3), 2018)

Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction. - Yannick Suter; Alain Jungo; Michael Rebsamen; Urspeter Knecht; Evelyn Herrmann; Roland Wiest; Mauricio Reyes 001 (BrainLes@MICCAI (2), 2018)

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)

Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation. - Sérgio Pereira; Raphael Meier; Richard McKinley; Roland Wiest; Victor Alves; Carlos A. Silva 002; Mauricio Reyes 001 (Medical Image Anal., 2018)

Triplanar Ensemble of 3D-to-2D CNNs with Label-Uncertainty for Brain Tumor Segmentation. - Richard McKinley; Michael Rebsamen; Raphael Meier; Roland Wiest (BrainLes@MICCAI (1), 2019)

Dual-Stream Pyramid Registration Network. - Xiaojun Hu; Miao Kang; Weilin Huang; Matthew R. Scott; Roland Wiest; Mauricio Reyes 001 (MICCAI (2), 2019)

Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019. - Michael Rebsamen; Christian Rummel; Ines Mürner-Lavanchy; Mauricio Reyes 001; Roland Wiest; Richard McKinley (ABCD-NP@MICCAI, 2019)

Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks. - Richard McKinley; Rik Wepfer; Fabian Aschwanden; Lorenz Grunder; Raphaela Muri; Christian Rummel; Rajeev Verma; Christian Weisstanner; Mauricio Reyes 001; Anke Salmen; Andrew Chan; Franca Wagner; et al. (CoRR, 2019)

Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks. - Richard McKinley; Michael Rebsamen; Raphael Meier; Mauricio Reyes 001; Christian Rummel; Roland Wiest (CoRR, 2019)

Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence. - Richard McKinley; Lorenz Grunder; Rik Wepfer; Fabian Aschwanden; Tim Fischer 005; Christoph Friedli; Raphaela Muri; Christian Rummel; Rajeev Verma; Christian Weisstanner; Mauricio Reyes 001; Anke Salmen; et al. (CoRR, 2019)

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. - Hugo J. Kuijf; Adrià Casamitjana; D. Louis Collins; Mahsa Dadar; Achilleas Georgiou; Mohsen Ghafoorian; Dakai Jin; April Khademi; Jesse Knight; Hongwei Li 004; Xavier Lladó; J. Matthijs Biesbroek; et al. (IEEE Trans. Medical Imaging, 2019)

Uncertainty-Driven Refinement of Tumor-Core Segmentation Using 3D-to-2D Networks with Label Uncertainty. - Richard McKinley; Michael Rebsamen; Katrin Daetwyler; Raphael Meier; Piotr Radojewski; Roland Wiest (BrainLes@MICCAI (1), 2020)

Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors. - Yannick Suter; Urspeter Knecht; Roland Wiest; Mauricio Reyes 001 (BrainLes@MICCAI (1), 2020)

Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning. - Yannick Suter; Urspeter Knecht; Roland Wiest; Ekkehard Hewer; Philippe Schucht; Mauricio Reyes 001 (MLCN/RNO-AI@MICCAI, 2020)

Brain SegNet: 3D local refinement network for brain lesion segmentation. - Xiaojun Hu; Weijian Luo; Jiliang Hu; Sheng Guo 005; Weilin Huang; Matthew R. Scott; Roland Wiest; Michael Dahlweid; Mauricio Reyes 001 (BMC Medical Imaging, 2020)

Functional topography of the thalamo-cortical system during development and its relation to cognition. - Leonie Steiner; Andrea Federspiel; Nedelina Slavova; Roland Wiest; Sebastian Grunt; Maja Steinlin; Regula Everts (NeuroImage, 2020)

Analyzing magnetic resonance imaging data from glioma patients using deep learning. - Bjoern H. Menze; Fabian Isensee; Roland Wiest; Benedikt Wiestler; Klaus H. Maier-Hein; Mauricio Reyes 001; Spyridon Bakas (Comput. Medical Imaging Graph., 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)

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)

Combining unsupervised and supervised learning for predicting the final stroke lesion. - Adriano Pinto; Sérgio Pereira; Raphael Meier; Roland Wiest; Victor Alves; Mauricio Reyes 001; Carlos A. Silva 002 (Medical Image Anal., 2021)

Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation Datasets. - Sebastian Otálora; Jonathan Rafael-Patino; Antoine Madrona; Elda Fischi Gomez; Veronica Ravano; Tobias Kober; Søren Christensen; Arsany Hakim; Roland Wiest; Jonas Richiardi; Richard McKinley (BrainLes@MICCAI, 2022)

Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging. - Yuji Zhao; Max A. Laansma; Eva M. van Heese; Conor Owens-Walton; Laura M. Parkes; Ines Debove; Christian Rummel; Roland Wiest; Fernando Cendes; Rachel Guimaraes; Clarissa Lin Yasuda; Jiun-Jie Wang; et al. (MLCN@MICCAI, 2022)

ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset. - Moritz Roman Hernandez Petzsche; Ezequiel de la Rosa; Uta Hanning; Roland Wiest; Waldo Enrique Valenzuela Pinilla; Mauricio Reyes 001; Maria Inês Meyer; Sook-Lei Liew; Florian Kofler; Ivan Ezhov; David Robben; Alexandre Hutton; et al. (CoRR, 2022)

Stationary EEG pattern relates to large-scale resting state networks - An EEG-fMRI study connecting brain networks across time-scales. - J. Daniel Arzate-Mena; Eugenio Abela; Paola V. Olguín-Rodríguez; Wady Ríos-Herrera; Sarael Alcauter; Kaspar Schindler; Roland Wiest; Markus Franziskus Müller; Christian Rummel (NeuroImage, 2022)

Deep Learning for Ischemic Penumbra Segmentation from MR Perfusion Maps: Robustness to the Deconvolution Algorithm. - Theo Leuliet; Stefan Huwer; Bénédicte Maréchal; Veronica Ravano; Tobias Kober; Jonathan Rafael-Patino; Johannes Kaesmacher; Roland Wiest; Jonas Richiardi; Richard McKinley (BrainLes/SWITCH@MICCAI, 2023)

Towards Radiomics-Based Automated Disease Progression Assessment for Glioblastoma Patients. - Yannick Suter; Flurina Schuhmacher; Ekin Ermis; Urspeter Knecht; Philippe Schucht; Roland Wiest; Mauricio Reyes 001 (BrainLes/SWITCH@MICCAI, 2023)

Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation. - Antoine Madrona; Sebastian Otálora; Elda Fischi Gomez; Veronica Ravano; Bénédicte Maréchal; Jean-Philippe Thiran; Tobias Kober; Roland Wiest; Richard McKinley; Jonas Richiardi; Jonathan Rafael-Patino (ISBI, 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)

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA. - Kaiyuan Yang 003; Fabio Musio; Yihui Ma; Norman Juchler; Johannes C. Paetzold; Rami Al-Maskari; Luciano Höher; Hongwei Bran Li; Ibrahim Ethem Hamamci; Anjany Sekuboyina; Suprosanna Shit; Houjing Huang; et al. (CoRR, 2023)

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. - Ezequiel de la Rosa; Mauricio Reyes 001; Sook-Lei Liew; Alexandre Hutton; Roland Wiest; Johannes Kaesmacher; Uta Hanning; Arsany Hakim; Richard Zubal; Waldo Valenzuela; David Robben; Diana Maria Sima; et al. (CoRR, 2024)

ISLES'24: Improving final infarct prediction in ischemic stroke using multimodal imaging and clinical data. - Ezequiel de la Rosa; Ruisheng Su; Mauricio Reyes 001; Roland Wiest; Evamaria Olga Riedel; Florian Kofler; Kaiyuan Yang 003; Hakim Baazaoui; David Robben; Susanne Wegener; Jan S. Kirschke; Benedikt Wiestler; et al. (CoRR, 2024)

ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke. - Evamaria Olga Riedel; Ezequiel de la Rosa; The Anh Baran; Moritz Roman Hernandez Petzsche; Hakim Baazaoui; Kaiyuan Yang 003; David Robben; Joaquin Oscar Seia; Roland Wiest; Mauricio Reyes 001; Ruisheng Su; Claus Zimmer; et al. (CoRR, 2024)

Analyzing fractal dimension in electroconvulsive therapy: Unraveling complexity in structural and functional neuroimaging. - Niklaus Denier; Matthias Grieder; Kay Jann; Sigrid Breit; Nicolas Mertse; Sebastian Walther; Leila M. Soravia; Agnes Meyer; Andrea Federspiel; Roland Wiest; Tobias Bracht (NeuroImage, 2024)

SaRF: Saliency regularized feature learning improves MRI sequence classification. - Suhang You; Roland Wiest; Mauricio Reyes 001 (Comput. Methods Programs Biomed., 2024)

Simultaneous multi-region detection of GABA+ and Glx using 3D spatially resolved SLOW-editing and EPSI-readout at 7T. - Guodong Weng; Johannes Slotboom; Philippe Schucht; Ekin Ermis; Roland Wiest; Stefan Klöppel; Jessica Peter; Irena Zubak; Piotr Radojewski (NeuroImage, 2024)

Learning from spatially inhomogenous data: resolution-adaptive convolutions for multiple sclerosis lesion segmentation. - Ivan Diaz; Florin Scherer; Yanik Berli; Roland Wiest; Helly Hammer; Robert Hoepner; Alejandro Leon Betancourt; Piotr Radojewski; Richard McKinley (CoRR, 2025)

The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information. - Daniel Abler; O. Pusterla; A. Joye-Kühnis; Nicolaus Andratschke; Meritxell Bach; A. Bink; S. M. Christ; Patric Hagmann; B. Pouymayou; E. Pravatà; Piotr Radojewski; Mauricio Reyes 001; et al. (CoRR, 2025)