Scanning for the scanner: FMRI of audition by read-out omissions from echo-planar imaging. - Andreas J. Bartsch; György Homola; Stefan Thesen; Peter Sahmer; Ralph Keim; Christian F. Beckmann; Armin Biller; Christoph Knaus; Martin Bendszus (NeuroImage, 2007)

Enhanced cortical reperfusion protects coagulation factor XII-deficient mice from ischemic stroke as revealed by high-field MRI. - M. Pham; C. Kleinschnitz; X. Helluy; Andreas J. Bartsch; M. Austinat; V. C. Behr; T. Renné; Bernhard Nieswandt; G. Stoll; Martin Bendszus (NeuroImage, 2010)

Grey matter abnormalities within cortico-limbic-striatal circuits in acute and weight-restored anorexia nervosa patients. - Hans-Christoph Friederich; Stephan Walther; Martin Bendszus; Armin Biller; Philipp A. Thomann; Susanne Zeigermann; Tobias Katus; Romuald Brunner; Arne Zastrow; Wolfgang Herzog (NeuroImage, 2012)

Relaxation-compensated CEST-MRI of the human brain at 7 T: Unbiased insight into NOE and amide signal changes in human glioblastoma. - Moritz Zaiss; Johannes Windschuh; Daniel Paech; Jan-Eric Meissner; Sina Burth; Benjamin Schmitt; Philip Kickingereder; Benedikt Wiestler; Wolfgang Wick; Martin Bendszus; Heinz-Peter Schlemmer; Mark E. Ladd; et al. (NeuroImage, 2015)

Human dorsal-root-ganglion perfusion measured in-vivo by MRI. - Tim Godel; Mirko Pham; Sabine Heiland; Martin Bendszus; Philipp Bäumer (NeuroImage, 2016)

Deep MRI brain extraction: A 3D convolutional neural network for skull stripping. - Jens Kleesiek; Gregor Urban; Alexander Hubert; Daniel Schwarz; Klaus H. Maier-Hein; Martin Bendszus; Armin Biller (NeuroImage, 2016)

Brain Tumor Segmentation Using Large Receptive Field Deep Convolutional Neural Networks. - Fabian Isensee; Philipp Kickingereder; David Bonekamp; Martin Bendszus; Wolfgang Wick; Heinz-Peter Schlemmer; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2017)

Quantification of Guidance Strategies in Online Interactive Semantic Segmentation of Glioblastoma MRI. - Jens Petersen; Sabine Heiland; Martin Bendszus; Jürgen Debus; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2017)

Effective user guidance in online interactive semantic segmentation. - Jens Petersen; Martin Bendszus; Jürgen Debus; Sabine Heiland; Klaus H. Maier-Hein (Computer-Aided Diagnosis, 2017)

Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge. - Fabian Isensee; Philipp Kickingereder; Wolfgang Wick; Martin Bendszus; Klaus H. Maier-Hein (BrainLes@MICCAI, 2017)

Abstract: Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing. - Jens Petersen; Sabine Heiland; Martin Bendszus; Jürgen Debus; Marco Nolden; Caspar J. Goch; Klaus Hermann Maier-Hein (Bildverarbeitung für die Medizin, 2018)

No New-Net. - Fabian Isensee; Philipp Kickingereder; Wolfgang Wick; Martin Bendszus; Klaus H. Maier-Hein (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)

DNA methylation-based classification of central nervous system tumours. - David Capper; David T. W. Jones; Martin Sill; Volker Hovestadt; Daniel Schrimpf; Dominik Sturm; Christian Koelsche; Felix Sahm; Lukas Chavez; David E. Reuss; Annekathrin Kratz; Annika K. Wefers; et al. (Nat., 2018)

Deep Probabilistic Modeling of Glioma Growth. - Jens Petersen; Paul F. Jäger; Fabian Isensee; Simon A. A. Kohl; Ulf Neuberger; Wolfgang Wick; Jürgen Debus; Sabine Heiland; Martin Bendszus; Philipp Kickingereder; Klaus H. Maier-Hein (MICCAI (2), 2019)

Automated brain extraction of multi-sequence MRI using artificial neural networks. - Fabian Isensee; Marianne Schell; Irada Tursunova; Gianluca Brugnara; David Bonekamp; Ulf Neuberger; Antje Wick; Heinz-Peter Schlemmer; Sabine Heiland; Wolfgang Wick; Martin Bendszus; Klaus Hermann Maier-Hein; et al. (CoRR, 2019)

Abstract: Deep Probabilistic Modeling of Glioma Growth. - Jens Petersen; Paul F. Jäger; Fabian Isensee; Simon A. A. Kohl; Ulf Neuberger; Wolfgang Wick; Jürgen Debus; Sabine Heiland; Martin Bendszus; Philipp Kickingereder; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2020)

Continuous-Time Deep Glioma Growth Models. - Jens Petersen; Fabian Isensee; Gregor Köhler; Paul F. Jäger; David Zimmerer; Ulf Neuberger; Wolfgang Wick; Jürgen Debus; Sabine Heiland; Martin Bendszus; Philipp Vollmuth; Klaus H. Maier-Hein (MICCAI (3), 2021)

Federated Learning Enables Big Data for Rare Cancer Boundary Detection. - Sarthak Pati; Ujjwal Baid; Brandon Edwards; Micah J. Sheller; Hans Shih-Han Wang; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Deepthi Karkada; Christos Davatzikos; Chiharu Sako; Satyam Ghodasara; et al. (CoRR, 2022)

A novel gradient echo data based vein segmentation algorithm and its application for the detection of regional cerebral differences in venous susceptibility. - Sina Straub; Janis Stiegeler; Edris El-Sanosy; Martin Bendszus; Mark E. Ladd; Till M. Schneider (NeuroImage, 2022)

Abstract: Automated Detection and Quantification of Brain Metastases on Clinical MRI Data using CNNs. - Irada Pflüger; Tassilo Wald; Fabian Isensee; Marianne Schell; Hagen Meredig; Kai Schlamp; Denise Bernhardt; Gianluca Brugnara; Claus Peter Heußel; Juergen Debus; Wolfgang Wick; Martin Bendszus; et al. (Bildverarbeitung für die Medizin, 2023)

Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke. - Gianluca Brugnara; Michael Baumgartner 001; Edwin D. Scholze; Katerina Deike-Hofmann; Klaus Kades; Jonas Scherer; Stefan Denner; Hagen Meredig; Aditya Rastogi; Mustafa A. Mahmutoglu; Christian Ulfert; Ulf Neuberger; et al. (Bildverarbeitung für die Medizin, 2024)

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. - Maria Correia de Verdier; Rachit Saluja; Louis Gagnon; Dominic LaBella; Ujjwal Baid; Nourel Hoda Tahon; Martha Foltyn-Dumitru; Jikai Zhang; Maram Alafif; Saif Baig; Ken Chang; Gennaro D'Anna; et al. (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)

Perfusion parameter map generation from TOF-MRA in stroke using generative adversarial networks. - Felix Lohrke; Vince Istvan Madai; Tabea Kossen; Orhun Utku Aydin; Jonas Behland; Adam Hilbert; Matthias Anthony Mutke; Martin Bendszus; Jan Sobesky; Dietmar Frey (NeuroImage, 2024)