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Leonhard Rist
List of publications:
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Lehrstuhl für Informatik 5 (Mustererkennung)
Publications
(15)
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Journal article
Journal article
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Book chapter / Article in edited volumes
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Authored book
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Conference contribution
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Robust Feature Selection for Classifying Early Ischemic Changes in Posterior Stroke (2025)
Rist L, Ditt H, Sühling M, Honus V, Schramme P, Maier A, Taubmann O
Conference contribution
Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features (2024)
Rivera Monroy LC, Rist L, Ostalecki C, Bauer A, Vera J, Breininger K, Maier A
Journal article
Pancreatic Vessel Landmark Detection in CT Angiography Using Prior Anatomical Knowledge (2024)
Rist L, Homm C, Lades F, Hernandez AA, Sühling M, Gudman Steuble Brandt E, Maier A, Taubmann O
Conference contribution
Multi-level cancer profiling through joint cell-graph representations (2024)
Rivera Monroy LC, Rist L, Wilm F, Ostalecki C, Baur A, Vera González J, Breininger K, Maier A
Journal article
Multi-organ Segmentation in CT from Partially Annotated Datasets using Disentangled Learning (2024)
Wang T, Liu C, Rist L, Maier A
Conference contribution, Conference Contribution
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural Networks (2024)
Rivera Monroy LC, Rist L, Eberhardt M, Ostalecki C, Bauer A, Vera J, Breininger K, Maier A
Conference contribution
Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps (2023)
Rist L, Taubmann O, Ditt H, Sühling M, Maier A
Conference contribution, Conference Contribution
Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples (2023)
Rivera Monroy LC, Rist L, Eberhardt M, Ostalecki C, Baur A, Vera J, Breininger K, Maier A
Conference contribution
Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression (2023)
Rist L, Taubmann O, Muhlberg A, Denzinger F, Thamm F, Sühling M, Norenberg D, et al.
Conference contribution
Detecting Large Vessel Occlusions using Graph Deep Learning (2022)
Kassam J, Thamm F, Rist L, Taubmann O, Maier A
Conference contribution, Original article
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