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Maximilian Diehn

3 papers hereh-index 273 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedA Multimodal Foundation Model of Spatial Transcriptomics and Histology for Biological Discovery and Clinical Prediction

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.AI2026★ 1 cited

A Multimodal Foundation Model of Spatial Transcriptomics and Histology for Biological Discovery and Clinical Prediction

Jinxi Xiang, Siyu Hou, Yuchen Li +17

Spatial transcriptomics (ST) enables gene expression mapping within anatomical context but remains costly and low-throughput. Hematoxylin and eosin (H\&E) staining offers rich morp…

cs.LG2026

Vision-based Deep Learning Analysis of Unordered Biomedical Tabular Datasets via Optimal Spatial Cartography

Sakib Mostafa, Tarik Massoud, Maximilian Diehn +2

Tabular data are central to biomedical research, from liquid biopsy and bulk and single-cell transcriptomics to electronic health records and phenotypic profiling. Unlike images or…

cs.CV2025

Ensemble learning of pathology foundation models for precision oncology

Xiangde Luo, Xiyue Wang, Feyisope Eweje +24

Histopathology is essential for cancer diagnosis and treatment selection, and pathology foundation models learn visual representations from whole-slide images (WSIs). However, exis…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.