Diffusion tensor imaging in primary brain tumors: Reproducible quantitative analysis of corpus callosum infiltration and contralateral involvement using a probabilistic mixture model. - Bram Stieltjes; Mathias Schlüter; Bernd Didinger; Marc-André Weber; Horst K. Hahn; Peter Parzer; Jan Rexilius; Olaf Konrad-Verse; Heinz-Otto Peitgen; Marco Essig (NeuroImage, 2006)

Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields. - L. Görlitz; Bjoern H. Menze; Marc-André Weber; B. Michael Kelm; Fred A. Hamprecht (DAGM-Symposium, 2007)

Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations. - Frederik O. Kaster; Bjoern H. Menze; Marc-André Weber; Fred A. Hamprecht (MCV, 2010)

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)

Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations. - Ender Konukoglu; Olivier Clatz; Bjoern H. Menze; Bram Stieltjes; Marc-André Weber; Emmanuel Mandonnet; Herve Delingette; Nicholas Ayache (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)

Bringing the Algorithms to the Data: Cloud-Based Benchmarking for Medical Image Analysis. - Allan Hanbury; Henning Müller; Georg Langs; Marc-André Weber; Bjoern H. Menze; Tomas Salas Fernandez (CLEF, 2012)

Brain Tumor Cell Density Estimation from Multi-modal MR Images Based on a Synthetic Tumor Growth Model. - Ezequiel Geremia; Bjoern H. Menze; Marcel Prastawa; Marc-André Weber; Antonio Criminisi; Nicholas Ayache (MCV, 2012)

Research and applications: Three-dimensional morphological and signal intensity features for detection of intervertebral disc degeneration from magnetic resonance images. - Ales Neubert; Jurgen Fripp; Craig Engstrom; Duncan Walker; Marc-André Weber; Raphael Schwarz; Stuart Crozier (J. Am. Medical Informatics Assoc., 2013)

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)

A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences. - Esther Alberts; Guillaume Charpiat; Yuliya Tarabalka; Thomas Huber; Marc-André Weber; Jan S. Bauer; Claus Zimmer; Bjoern H. Menze (Brainles@MICCAI, 2015)

Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentations. - Markus Krenn; Matthias Dorfer; Oscar Alfonso Jiménez del Toro; Henning Müller; Bjoern H. Menze; Marc-André Weber; Allan Hanbury; Georg Langs (MCV@MICCAI, 2015)

Statistical shape model reconstruction with sparse anomalous deformations: Application to intervertebral disc herniation. - Ales Neubert; Jurgen Fripp; Craig Engstrom; Daniel Schwarz; Marc-André Weber; Stuart Crozier (Comput. Medical Imaging Graph., 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)

Privacy: an institutional fact. - Marc-André Weber (Ethics Inf. Technol., 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)

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)

Productivity Strategies Using Digital Information Systems in Production Environments. - Marc-André Weber; Tim Jeske; Frank Lennings; Sascha Stowasser (APMS (1), 2017)

Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates. - Johannes Hofmanninger; Bjoern H. Menze; Marc-André Weber; Georg Langs (DLMIA/ML-CDS@MICCAI, 2017)

Predicting Future Bone Infiltration Patterns in Multiple Myeloma. - Roxane Licandro; Johannes Hofmanninger; Marc-André Weber; Björn H. Menze; Georg Langs (Patch-MI@MICCAI, 2018)

Detecting Bone Lesions in Multiple Myeloma Patients Using Transfer Learning. - Matthias Perkonigg; Johannes Hofmanninger; Björn H. Menze; Marc-André Weber; Georg Langs (DATRA/PIPPI@MICCAI, 2018)

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. - Lena Maier-Hein; Matthias Eisenmann; Annika Reinke; Sinan Onogur; Marko Stankovic 002; Patrick Scholz 001; Tal Arbel; Hrvoje Bogunovic; Andrew P. Bradley; Aaron Carass; Carolin Feldmann; Alejandro F. Frangi; et al. (CoRR, 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)

Holistic Productivity Management Using Digitalization. - Tim Jeske; Marc-André Weber; Frank Lennings; Sascha Stowasser (AHFE (8), 2019)

Towards quantitative imaging biomarkers of tumor dissemination: A multi-scale parametric modeling of multiple myeloma. - Marie Piraud; Markus Wennmann; Laurent Kintzelé; Jens Hillengass; Ulrich Keller; Georg Langs; Marc-André Weber; Björn H. Menze (Medical Image Anal., 2019)

Achievements and Opportunities of Digitalization in Productivity Management. - Tim Jeske; Marlene Würfels; Frank Lennings; Marc-André Weber; Sascha Stowasser (AHFE (7), 2020)

Human-Robot-Collaboration in the Context of Productivity Development and the Challenges of Its Implementation: A Case Study. - Yannick Peifer; Marc-André Weber; Tim Jeske; Sascha Stowasser (AHFE (7), 2020)

Prevalence and predictors of alternative diagnoses on whole-leg ultrasound negative for acute deep venous thrombosis. - Ebba Beller; Mattes Becher; Felix G. Meinel; Jens-Christian Kröger; Rengarajan Rajagopal; Raimund Höft; Marc-André Weber; Thomas Heller (BMC Medical Imaging, 2020)

Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease. - Martin Dyrba; Moritz Hanzig; Slawek Altenstein; Sebastian Bader 001; Tommaso Ballarini; Frederic Brosseron; Katharina Buerger; Daniel Cantré; Peter Dechent; Laura Dobisch; Emrah Düzel; Michael Ewers; et al. (CoRR, 2020)

Prevalence of visceral artery involvement in patients with peripheral artery disease found on run-off MRA. - Felix Streckenbach; Felix G. Meinel; Felix Ammermann; Anke Busse; Andreas Neumann; Thomas Heller; Marc-André Weber; Ebba Beller (BMC Medical Imaging, 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)

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)

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography. - Murong Xu; Tamaz Amiranashvili; Fernando Navarro; Maksym Fritsak; Ibrahim Ethem Hamamci; Suprosanna Shit; Bastian Wittmann; Sezgin Er; Sebastian M. Christ; Ezequiel de la Rosa; Julian Deseoe; Robert Graf; et al. (CoRR, 2025)