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20222024
most citedComparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data Using Graph Neural Networks

2 citations · 2 across the 4 of their papers we have counts for

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cs.CV2024

Neural Image Unfolding: Flattening Sparse Anatomical Structures using Neural Fields

Leonhard Rist, Pluvio Stephan, Noah Maul +6

Tomographic imaging reveals internal structures of 3D objects and is crucial for medical diagnoses. Visualizing the morphology and appearance of non-planar sparse anatomical struct…

cs.CV2023★ 2 cited

Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data Using Graph Neural Networks

Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt +5

This study leverages graph neural networks to integrate MELC data with Radiomic-extracted features for melanoma classification, focusing on cell-wise analysis. It assesses the effe…