Alexander Brobeil - Concepedia

Author

Alexander Brobeil

Justus-Liebig-Universität Gießen ORCID

Also Known As

A BROBEIL, A Brobeil, A. Brobeil, Alexander Brobeil, Brobeil A, Brobeil, Alexander, S Sereda

118

Publications

1.4K

Citations

H-Index

Concepts

All Affiliations

Justus-Liebig-Universität Gießen Heidelberg University National Center for Tumor Diseases German Cancer Research Center University Hospital Heidelberg

About

Alexander Brobeil is an author at Justus-Liebig-Universität Gießen specializing in medicine, cell biology, and cell signaling.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	14	20	511
2	Natural Sciences	6	6	89
3	Engineering	4	4	203
4	Health Sciences	2	2	39
5	Social Sciences	2	2	28

Alexander Brobeil

Publications

1.2K

Citations

H-Index

Page 1

	Year	Citations
Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study Jan Niehues, Philip Quirke, Nicholas P. West, Cell Reports Medicine	2023	91
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides Omar S. M. El Nahhas, Chiara Maria Lavinia Loeffler, Zunamys I. Carrero, Nature Communications	2024	83
Genotyping circulating tumor DNA of pediatric Hodgkin lymphoma Ann-Kathrin Desch, Kristin Hartung, Ante Botzen, Leukemia Lymphoid NeoplasiaMedicineHematologyPathologyImmunophenotyping	2019	82
Weakly supervised annotation‐free cancer detection and prediction of genotype in routine histopathology Peter L. Schrammen, Narmin Ghaffari Laleh, Amelie Echle, The Journal of Pathology Annotation‐free Cancer DetectionConvolutional Neural NetworkEngineeringMachine LearningDigital Pathology	2021	77
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study Xiaofeng Jiang, Michael Hoffmeister, Hermann Brenner, The Lancet Digital Health	2023	72
Deep Learning for the Classification of Non-Hodgkin Lymphoma on Histopathological Images Mark Kriegsmann, Christiane Zgorzelski, Alexander Brobeil, Cancers Convolutional Neural NetworkEngineeringMachine LearningDigital PathologyPathology	2021	71
Encrypted federated learning for secure decentralized collaboration in cancer image analysis Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Medical Image Analysis	2023	71
Deep learning can predict lymph node status directly from histology in colorectal cancer Lennard Kiehl, Sara Kuntz, Julia Höhn, European Journal of Cancer	2021	69
Multimodal and spatially resolved profiling identifies distinct patterns of T cell infiltration in nodal B cell lymphoma entities Tobias Roider, Marc A. Baertsch, Donnacha Fitzgerald, Nature Cell Biology	2024	56
Cutibacterium acnes is an intracellular and intra-articular commensal of the human shoulder joint Robert Hudek, Alexander Brobeil, Holger Brüggemann, Journal of Shoulder and Elbow Surgery Cutibacterium AcnesHuman Shoulder JointMicrobiologyIntra-articular CommensalMedicine	2020	44

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