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Leonhard Rist
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2020 – today
- 2024
- [c10]Leonhard Rist, Oliver Taubmann, Hendrik Ditt, Michael Sühling, Andreas K. Maier:
Abstract: Flexible Unfolding of Circular Structures for Rendering Textbook-style Cerebrovascular Maps. Bildverarbeitung für die Medizin 2024: 12 - [c9]Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Bauer, Julio Vera, Katharina Breininger, Andreas K. Maier:
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural Networks. Bildverarbeitung für die Medizin 2024: 160-165 - [c8]Christopher Brückner, Chang Liu, Leonhard Rist, Andreas K. Maier:
Influence of imperfect annotations on deep learning segmentation models. Bildverarbeitung für die Medizin 2024: 226-231 - [c7]Tianyi Wang, Chang Liu, Leonhard Rist, Andreas K. Maier:
Multi-organ Segmentation in CT from Partially Annotated Datasets using Disentangled Learning. Bildverarbeitung für die Medizin 2024: 291-296 - [c6]Leonhard Rist, Christopher Homm, Félix Lades, Abraham Ayala Hernandez, Michael Sühling, Erik Gudman Steuble Brandt, Andreas K. Maier, Oliver Taubmann:
Pancreatic Vessel Landmark Detection in CT Angiography Using Prior Anatomical Knowledge. AIPAD/PILM@MICCAI 2024: 45-54 - 2023
- [j1]Leonhard Rist, Oliver Taubmann, Florian Thamm, Hendrik Ditt, Michael Sühling, Andreas Maier:
Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients. Int. J. Comput. Assist. Radiol. Surg. 18(3): 509-516 (2023) - [c5]Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Baur, Julio Vera, Katharina Breininger, Andreas Maier:
Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples. ISBI 2023: 1-5 - [c4]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:
Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression. ISBI 2023: 1-5 - [c3]Leonhard Rist, Oliver Taubmann, Hendrik Ditt, Michael Sühling, Andreas K. Maier:
Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps. MICCAI (5) 2023: 737-746 - [i5]Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Bauer, Julio Vera, Katharina Breininger, Andreas K. Maier:
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data Using Graph Neural Networks. CoRR abs/2312.15825 (2023) - 2022
- [c2]Jad Kassam, Florian Thamm, Leonhard Rist, Oliver Taubmann, Andreas K. Maier:
Detecting Large Vessel Occlusions using Graph Deep Learning. GeoMedIA 2022: 149-159 - [c1]Florian Thamm, Oliver Taubmann, Markus Jürgens, Aleksandra Thamm, Felix Denzinger, Leonhard Rist, Hendrik Ditt, Andreas Maier:
Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection. MICCAI (3) 2022: 634-643 - [i4]Florian Thamm, Felix Denzinger, Leonhard Rist, Celia Martín Vicario, Florian Kordon, Andreas K. Maier:
Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors. CoRR abs/2201.06259 (2022) - [i3]Florian Thamm, Markus Jürgens, Oliver Taubmann, Aleksandra Thamm, Leonhard Rist, Hendrik Ditt, Andreas K. Maier:
An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes. CoRR abs/2204.12333 (2022) - [i2]Florian Thamm, Oliver Taubmann, Markus Jürgens, Aleksandra Thamm, Felix Denzinger, Leonhard Rist, Hendrik Ditt, Andreas K. Maier:
Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection. CoRR abs/2205.02848 (2022) - [i1]Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Baur, Julio Vera, Katharina Breininger, Andreas K. Maier:
Employing Graph Representations for Cell-level Characterization of Melanoma MELC Samples. CoRR abs/2211.05884 (2022)
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last updated on 2024-10-11 18:23 CEST by the dblp team
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