Leonhard Rist
Leonhard Rist, M. Sc.
Academic CV
- Since 02/2021:
PhD Student at the Pattern Recognition Lab, FAU Erlangen-Nürnberg in cooperation with Siemens Healthineers AG, Forchheim
Research Topic: Cerebral vasculature analysis for Computed Tomography - 04/2018 – 01/2021:
Master’s Degree in Medical Engineering with focus on Medical Imaging and Data Processing, FAU Erlangen-Nürnberg
Master’s Thesis: “Geometric Deep Learning for Multifocal Diseases” - 10/2014 – 03/2018:
Bachelor’s Degree in Medical Engineering with focus on Imaging Systems, FAU Erlangen-Nürnberg
Bachelor’s Thesis: “A Flexible Calibration Phantom for FD-CT using Cross-Ratios”
Projects
No projects found.
Collaboration with Siemens Healthineers for the analysis and visualization of brain vasculature in CTA scans
Publications
2024
Journal Articles
Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features
In: International Journal of Computer Assisted Radiology and Surgery (2024)
ISSN: 1861-6410
DOI: 10.1007/s11548-024-03277-x
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Multi-level cancer profiling through joint cell-graph representations
In: Smart Health 32 (2024), p. 100470
ISSN: 2352-6483
DOI: 10.1016/j.smhl.2024.100470
BibTeX: Download
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Conference Contributions
Pancreatic Vessel Landmark Detection in CT Angiography Using Prior Anatomical Knowledge
First International Workshop, AIPAD 2024 and First International Workshop, PILM 2024 (Marrakesh, October 10, 2024 - October 10, 2024)
In: Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine, Cham: 2024
DOI: 10.1007/978-3-031-73483-0_5
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Multi-organ Segmentation in CT from Partially Annotated Datasets using Disentangled Learning
German Conference on Medical Image Computing, BVM 2024 (Erlangen, March 10, 2024 - March 12, 2024)
In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2024. BVM 2024, Wiesbaden: 2024
DOI: 10.1007/978-3-658-44037-4_76
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Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural Networks
Bildverarbeitung für die Medizin 2024 (Erlangen, March 10, 2024 - March 12, 2024)
DOI: 10.1007/978-3-658-44037-4_49
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2023
Conference Contributions
Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 (Vancouver, October 8, 2023 - October 12, 2023)
In: Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu Salcudean, James Duncan, Tanveer Syeda-Mahmood, Russell Taylor (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Cham: 2023
DOI: 10.1007/978-3-031-43904-9_71
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Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples
IEEE International Symposium on Biomedical Imaging (Cartagena, April 18, 2023 - April 21, 2023)
In: IEEE (ed.): 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) 2023
DOI: 10.1109/ISBI53787.2023.10230519
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Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression
20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Cartagena, April 18, 2023 - April 21, 2023)
In: Proceedings - International Symposium on Biomedical Imaging 2023
DOI: 10.1109/ISBI53787.2023.10230367
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2022
Journal Articles
Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients
In: International Journal of Computer Assisted Radiology and Surgery (2022)
ISSN: 1861-6410
DOI: 10.1007/s11548-022-02750-9
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An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes
In: Biomedical Physics and Engineering Express (2022)
ISSN: 2057-1976
DOI: 10.1088/2057-1976/ac9415
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Conference Contributions
Detecting Large Vessel Occlusions using Graph Deep Learning
GeoMedIA 2022 Workshop Submission
BibTeX: Download
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Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 (Singapore, September 18, 2022 - September 22, 2022)
DOI: 10.1007/978-3-031-16437-8_61
URL: https://link.springer.com/chapter/10.1007/978-3-031-16437-8_61
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2021
Miscellaneous
Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors
(2021)
BibTeX: Download
(Conference report)
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2018
Conference Contributions
Projective Invariants for Geometric Calibration in Flat-Panel Computed Tomography
Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) (Salt Lake City, UT, United States)
In: Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Aichert18-PIF.pdf
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Lectures
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