Preface

Erik Bekkers, Jelmer M. Wolterink, Angelica I. Aviles-Rivero; Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR 194:1-2

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Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets

Marcel Beetz, Abhirup Banerjee, Vicente Grau; Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR 194:3-14

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Graph Neural Networks Ameliorate Potential Impacts of Imprecise Large-Scale Autonomous Immunofluorescence Labeling of Immune Cells on Whole Slide Images

Ramya Reddy, Ram Reddy, Cyril Sharma, Christopher Jackson, Scott Palisoul, Rachael Barney, Fred Kolling, Lucas Salas, Brock Christensen, Gabriel Brooks, Gregory Tsongalis, Louis Vaickus, Joshua Levy; Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR 194:15-33

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Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context

Jannik Sobisch, Žiga Bizjak, Aichi Chien, Žiga Špiclin; Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR 194:34-44

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Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs

Chinmay Prabhakar, Anjany Sekuboyina, Hongwei Bran Li, Johannes C. Paetzold, Suprosanna Shit, Tamaz Amiranashvili, Jens Kleesiek, Bjoern Menze; Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR 194:45-60

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XEdgeConv: Leveraging graph convolutions for efficient, permutation- and rotation-invariant dense 3D medical image segmentation

Christian Weihsbach, Lasse Hansen, Mattias Heinrich; Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR 194:61-71

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Eigenvector Grouping for Point Cloud Vessel Labeling

Patryk Rygiel, Maciej Zieba, Tomasz Konopczynski; Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR 194:72-84

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A Soft-Correspondence Approach to Shape-based Disease Grading with Graph Convolutional Networks

Julius Mayer, Daniel Baum, Felix Ambellan, Christoph von von Tycowicz; Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR 194:85-95

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Group Convolutional Neural Networks for DWI Segmentation

Renfei Liu, François Lauze, Erik Bekkers, Kenny Erleben, Sune Darkner; Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR 194:96-106

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Self-supervised graph representations of WSIs

Oscar Pina, Verónica Vilaplana; Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR 194:107-117

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GeoMorph: Geometric Deep Learning for Cortical Surface Registration

Mohamed A. Suliman, Logan Z. J. Williams, Abdullah Fawaz, Emma. C Robinson; Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR 194:118-129

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Scale-Equivariant UNet for Histopathology Image Segmentation

Yilong Yang, Srinandan Dasmahapatra, Sasan Mahmoodi; Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR 194:130-148

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Detecting Large Vessel Occlusions using Graph Deep Learning

Jad Kassam, Florian Thamm, Leonhard Rist, Oliver Taubmann, Andreas Maier; Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR 194:149-159

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A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging

Nairouz Shehata, Wulfie Bain, Ben Glocker; Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR 194:160-171

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StreamNet: A WAE for White Matter Streamline Analysis

Andrew Lizarraga, Katherine L. Narr, Kirsten A. Donals, Shantanu H. Joshi; Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR 194:172-182

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