Leonhard Rist

Leonhard Rist, M. Sc.

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room: Room 09.132
Martensstr. 3
91058 Erlangen

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

Conference Contributions

2023

Conference Contributions

2022

Journal Articles

Conference Contributions

2021

Miscellaneous

2018

Conference Contributions

Lectures

No matching records found.

Students Theses

Student Title Type Status
Zeinab Aliakbari Mamaghani Advanced LLM Prompting for Patient-Tailored CT Protocol Adjustment MA thesis running
Jan Geier ISLES Challenge 2024: Infarct segmentation from CT images Project running
Jie Yi Tan Detection of Pancreatic Duct in Computed Tomography MA thesis finished
Ahsan Munir Volumetric Cerebral Vessel Labeling Project running
Anna-Sophie Stephan Fitting a 2D to 3D Transformation with Neural Fields for Vessel Unfolding MA thesis finished
Paul Hannes Zech Deep Learning based Vascular Contouring in Photon-Counting Computed Tomography MA thesis finished
Robin Hoepp Federated Learning for 3D camera-based weight & height estimation BA thesis finished
Anna-Sophie Stefan Neural fields for 2D-3D transformations Project finished
Christopher Homm Anatomical Landmark Detection for Pancreatic Vessels in Computed Tomography MA thesis finished
Johannes Ohlmann Topology-aware Geometric Deep Learning for Labeling Major Cerebral Arteries MA thesis finished
Stefan Ringer Extraction of Treatment Margins from CT Scans for Evaluation of Lung Tumor Cryoablation MA thesis finished
Ibrahim Maniaa Fully Automated Segmentation of Subcutaneous Fat in CT Images MA thesis finished
Eduard Reger Modeling of Randomized Cerebrovascular Trees for Artifical Data Generation using Blender MA thesis finished
Antonia Popp Thrombus detection using nnDetection Project finished
Tasnim Nova Post-Processing of DTF-Skeletonizations Project running
Jad Kassam Detection of Large Vessel Occlusions using Graph Deep Learning MA thesis finished