Detecting Large Vessel Occlusions using Graph Deep Learning. - Jad Kassam; Florian Thamm; Leonhard Rist; Oliver Taubmann; Andreas K. Maier (GeoMedIA, 2022)

Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection. - Florian Thamm; Oliver Taubmann; Markus Jürgens; Aleksandra Thamm; Felix Denzinger; Leonhard Rist; Hendrik Ditt; Andreas Maier 001 (MICCAI (3), 2022)

Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors. - Florian Thamm; Felix Denzinger; Leonhard Rist; Celia Martín Vicario; Florian Kordon; Andreas K. Maier (CoRR, 2022)

An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes. - Florian Thamm; Markus Jürgens; Oliver Taubmann; Aleksandra Thamm; Leonhard Rist; Hendrik Ditt; Andreas K. Maier (CoRR, 2022)

Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples. - Luis Carlos Rivera Monroy; Leonhard Rist; Martin Eberhardt; Christian Ostalecki; Andreas Baur; Julio Vera; Katharina Breininger; Andreas Maier 001 (ISBI, 2023)

Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression. - Leonhard Rist; Oliver Taubmann; Alexander Mühlberg; Felix Denzinger; Florian Thamm; Michael Sühling; Dominik Nörenberg; Julian Walter Holch; Stefan Maurus; Leonie Gebauer; Thomas Huber; Andreas Maier 001 (ISBI, 2023)

Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps. - Leonhard Rist; Oliver Taubmann; Hendrik Ditt; Michael Sühling; Andreas K. Maier (MICCAI (5), 2023)

Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients. - Leonhard Rist; Oliver Taubmann; Florian Thamm; Hendrik Ditt; Michael Sühling; Andreas Maier 001 (Int. J. Comput. Assist. Radiol. Surg., 2023)

Influence of imperfect annotations on deep learning segmentation models. - Christopher Brückner; Chang Liu; Leonhard Rist; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural Networks. - Luis Carlos Rivera Monroy; Leonhard Rist; Martin Eberhardt; Christian Ostalecki; Andreas Bauer; Julio Vera; Katharina Breininger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Abstract: Flexible Unfolding of Circular Structures for Rendering Textbook-style Cerebrovascular Maps. - Leonhard Rist; Oliver Taubmann; Hendrik Ditt; Michael Sühling; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Multi-organ Segmentation in CT from Partially Annotated Datasets using Disentangled Learning. - Tianyi Wang; Chang Liu; Leonhard Rist; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Robust Feature Selection for Classifying Early Ischemic Changes in Posterior Stroke. - Leonhard Rist; Hendrik Ditt; Michael Sühling; Valentin Honus; Peter Schramm; Andreas K. Maier; Oliver Taubmann (SWITCH/ISLES@MICCAI, 2024)

Pancreatic Vessel Landmark Detection in CT Angiography Using Prior Anatomical Knowledge. - Leonhard Rist; Christopher Homm; Félix Lades; Abraham Ayala Hernandez; Michael Sühling; Erik Gudman Steuble Brandt; Andreas K. Maier; Oliver Taubmann (AIPAD/PILM@MICCAI, 2024)

Neural Image Unfolding: Flattening Sparse Anatomical Structures using Neural Fields. - Leonhard Rist; Pluvio Stephan; Noah Maul; Linda Vorberg; Hendrik Ditt; Michael Sühling; Andreas K. Maier; Bernhard Egger 001; Oliver Taubmann (CoRR, 2024)

Abstract: Multi-level Cancer Profiling through Joint Cell-graph Representations. - Luis Carlos Rivera Monroy; Leonhard Rist; Frauke Wilm; Christian Ostalecki; Andreas Baur; Julio Vera; Katharina Breininger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2025)

Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features. - Luis Carlos Rivera Monroy; Leonhard Rist; Christian Ostalecki; Andreas Bauer; Julio Vera; Katharina Breininger; Andreas K. Maier (Int. J. Comput. Assist. Radiol. Surg., 2025)