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ORCID1st GeoMedIA 2022, Amsterdam, The Netherlands
- Erik J. Bekkers, Jelmer M. Wolterink, Angelica I. Avilés-Rivero:
Geometric Deep Learning in Medical Image Analysis, 18 November 2022, Amsterdam, The Netherlands. Proceedings of Machine Learning Research 194, PMLR 2022 - Erik J. Bekkers, Jelmer M. Wolterink, Angelica I. Avilés-Rivero:
Preface. 1-2 - Marcel Beetz, Abhirup Banerjee, Vicente Grau:
Reconstructing 3D Cardiac Anatomies from Misaligned Multi-View Magnetic Resonance Images with Mesh Deformation U-Nets. 3-14 - Ramya Reddy, Ram Reddy, Cyril Sharma, Christopher R. Jackson, Scott Palisoul, Rachael Barney, Fred Kolling, Lucas A. Salas, Brock C. Christensen, Gabriel Brooks, Gregory J. Tsongalis, Louis J. Vaickus, Joshua J. Levy:
Graph Neural Networks Ameliorate Potential Impacts of Imprecise Large-Scale Autonomous Immunofluorescence Labeling of Immune Cells on Whole Slide Images. 15-33 - Jannik Sobisch, Ziga Bizjak, Aichi Chien, Ziga Spiclin:
Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context. 34-44 - Chinmay Prabhakar, Anjany Sekuboyina, Hongwei Bran Li, Johannes C. Paetzold, Suprosanna Shit, Tamaz Amiranashvili, Jens Kleesiek, Bjoern H. Menze:
Structured Knowledge Graphs for Classifying Unseen Patterns in Radiographs. 45-60 - Christian Weihsbach, Lasse Hansen, Mattias P. Heinrich:
XEdgeConv: Leveraging graph convolutions for efficient, permutation- and rotation-invariant dense 3D medical image segmentation. 61-71 - Patryk Rygiel, Maciej Zieba, Tomasz K. Konopczynski:
Eigenvector Grouping for Point Cloud Vessel Labeling. 72-84 - Julius Mayer, Daniel Baum, Felix Ambellan, Christoph von Tycowicz:
A Soft-Correspondence Approach to Shape-based Disease Grading with Graph Convolutional Networks. 85-95 - Renfei Liu, François Lauze, Erik J. Bekkers, Kenny Erleben, Sune Darkner:
Group Convolutional Neural Networks for DWI Segmentation. 96-106 - Oscar Pina, Verónica Vilaplana:
Self-supervised graph representations of WSIs. 107-117 - Mohamed A. Suliman, Logan Z. J. Williams, Abdulah Fawaz, Emma C. Robinson:
GeoMorph: Geometric Deep Learning for Cortical Surface Registration. 118-129 - Yilong Yang, Srinandan Dasmahapatra, Sasan Mahmoodi:
Scale-Equivariant UNet for Histopathology Image Segmentation. 130-148 - Jad Kassam, Florian Thamm, Leonhard Rist, Oliver Taubmann, Andreas K. Maier:
Detecting Large Vessel Occlusions using Graph Deep Learning. 149-159 - Nairouz Shehata, Wulfie Bain, Ben Glocker:
A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging. 160-171 - Andrew Lizarraga, Katherine L. Narr, Kirsten A. Donald, Shantanu H. Joshi:
StreamNet: A WAE for White Matter Streamline Analysis. 172-182
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