Maximilian Diehn

According to our database, Maximilian Diehn authored at least 10 papers between 2003 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Knowledge Graph Modulated Deep Learning for Limited-Sample Clinical Data Analysis.

Yuwei Xue, Sakib Mostafa, James Zou, Joseph Liao, Maximilian Diehn, Ash A. Alizadeh, Lei Xing, Md Tauhidul Islam

CoRR, May, 2026

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

Jinxi Xiang, Siyu Hou, Yuchen Li, Ryan Quinton, Xiaoming Zhang, Feyisope Eweje, Xiangde Luo, Yijiang Chen, Zhe Li, Colin Bergstrom, Ted Kim, Sierra Willens, Francesca Maria Olguin, Matthew Abikenari, Andrew Heider, Sanjeeth Rajaram, Joel Neal, Maximilian Diehn, Xiang Zhou, Ruijiang Li

CoRR, April, 2026

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

Sakib Mostafa, Tarik Massoud, Maximilian Diehn, Lei Xing, Md Tauhidul Islam

CoRR, March, 2026

2025

Ensemble learning of foundation models for precision oncology.

Xiangde Luo, Xiyue Wang, Feyisope Eweje, Xiaoming Zhang, Sen Yang, Ryan Quinton, Jinxi Xiang, Yuchen Li, Yuanfeng Ji, Zhe Li, Yijiang Chen, Colin Bergstrom, Ted Kim, Francesca Maria Olguin, Kelley Yuan, Matthew Abikenari, Andrew Heider, Sierra Willens, Sanjeeth Rajaram, Robert West, Joel Neal, Maximilian Diehn, Ruijiang Li

CoRR, August, 2025

2021

Radiological tumour classification across imaging modality and histology.

Jia Wu, Chao Li, Michael Gensheimer, Sukhmani Padda, Fumi Kato, Hiroki Shirato, Yiran Wei, Carola-Bibiane Schönlieb, Stephen John Price, David A. Jaffray, John V. Heymach, Joel W. Neal, Billy W. Loo, Heather Wakelee, Maximilian Diehn, Ruijiang Li

Nat. Mach. Intell., 2021

2016

A 3-D Riesz-Covariance Texture Model for Prediction of Nodule Recurrence in Lung CT.

Pol Cirujeda, Yashin Dicente Cid, Henning Müller, Daniel L. Rubin, Todd A. Aguilera, Billy W. Loo, Maximilian Diehn, Xavier Binefa, Adrien Depeursinge

IEEE Trans. Medical Imaging, 2016

Noninvasive Cancer Classification Using Diverse Genomic Features in Circulating Tumor DNA.

Mohammad Shahrokh Esfahani, Aaron M. Newman, Florian Scherer, Robert Tibshirani, Maximilian Diehn, Ash A. Alizadeh

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015

3D Riesz-wavelet based Covariance descriptors for texture classification of lung nodule tissue in CT.

Pol Cirujeda, Henning Müller, Daniel L. Rubin, Todd A. Aguilera, Billy W. Loo, Maximilian Diehn, Xavier Binefa, Adrien Depeursinge

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

FACTERA: a practical method for the discovery of genomic rearrangements at breakpoint resolution.

Aaron M. Newman, Scott V. Bratman, Henning Stehr, Luke J. Lee, Chih Long Liu, Maximilian Diehn, Ash A. Alizadeh

Bioinform., 2014

2003

SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression data.

Maximilian Diehn, Gavin Sherlock, Gail Binkley, Heng Jin, John C. Matese, Tina Hernandez-Boussard, Christian A. Rees, J. Michael Cherry, David Botstein, Patrick O. Brown, Ash A. Alizadeh

Nucleic Acids Res., 2003