Leonhard Rist

According to our database, Leonhard Rist authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

Proceedings of the Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine, 2024

Multi-organ Segmentation in CT from Partially Annotated Datasets using Disentangled Learning.

Tianyi Wang, Chang Liu, Leonhard Rist, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Flexible Unfolding of Circular Structures for Rendering Textbook-style Cerebrovascular Maps.

Leonhard Rist, Oliver Taubmann, Hendrik Ditt, Michael Sühling, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2024, 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

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Influence of imperfect annotations on deep learning segmentation models.

Christopher Brückner, Chang Liu, Leonhard Rist, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

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

Int. J. Comput. Assist. Radiol. Surg., March, 2023

Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps.

Leonhard Rist, Oliver Taubmann, Hendrik Ditt, Michael Sühling, Andreas K. Maier

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Detecting Large Vessel Occlusions using Graph Deep Learning.

Jad Kassam, Florian Thamm, Leonhard Rist, Oliver Taubmann, Andreas K. Maier

Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022