Leonhard Rist

Orcid: 0000-0002-9589-3774

According to our database1, Leonhard Rist authored at least 12 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Multi-organ Segmentation in CT from Partially Annotated Datasets using Disentangled Learning.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Flexible Unfolding of Circular Structures for Rendering Textbook-style Cerebrovascular Maps.
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.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Influence of imperfect annotations on deep learning segmentation models.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients.
Int. J. Comput. Assist. Radiol. Surg., March, 2023

Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps.
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.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples.
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.
CoRR, 2022

Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors.
CoRR, 2022

Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Detecting Large Vessel Occlusions using Graph Deep Learning.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022


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