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Jonas Dippel

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Technische Universität Berlin
Machine Learning / Intelligent Data Analysis (IDA)

Marchstr. 23, 10587 Berlin
https://www.tu.berlin/en/ml

© Jonas Dippel

Jonas Dippel

Doctoral Researcher

Jonas Dippel is a research associate working in the Machine Learning/Intelligent Data analysis group at Technische Universität Berlin. He received a BS in Computer Science from Technische Universität Braunschweig in 2018 and an MS in Computer Science from Technische Universität Berlin in 2021. He is currently pursuing a PhD and his research involves medical image analysis, representation learning, anomaly detection and multimodal learning.

● Representation Learning
● Anomaly Detection
● Multimodal Learning
● Computational Pathology
● Medical Image Analysis

Frederick Klauschen, Jonas Dippel, Philipp Keyl, Philipp Jurmeister, Michael Bockmayr, Andreas Mock, Oliver Buchstab, Maximilian Alber, Lukas Ruff, Grégoire Montavon & Klaus-Robert Müller

Explainable artificial intelligence in pathology

February 05 , 2024
https://doi.org/10.1007/s00292-024-01308-7

Jonas Dippel, Barbara Feulner, Tobias Winterhoff, Simon Schallenberg, Gabriel Dernbach, Andreas Kunft, Stephan Tietz, Philipp Jurmeister, David Horst, Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen, Maximilian Alber

RUDOLFV: A FOUNDATION MODEL BY PATHOLOGISTS FOR PATHOLOGISTS

January 23 , 2024
https://doi.org/10.48550/arXiv.2401.04079

Frederick Klauschen, Jonas Dippel, Philipp Keyl, Philipp Jurmeister, Michael Bockmayr, Andreas Mock, Oliver Buchstab, Maximilian Alber, Lukas Ruff, Grégoire Montavon, Klaus-Robert Müller

Toward Explainable Artificial Intelligence for Precision Pathology

October 23 , 2023
https://doi.org/10.1146/annurev-pathmechdis-051222-113147

Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine Hermann, Andrew K. Lampinen, Simon Kornblith

Improving neural network representations using human similarity judgments

September 26 , 2023
https://arxiv.org/pdf/2306.04507.pdf

Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith

Human alignment of neural network representations

2023
https://arxiv.org/abs/2211.01201