Scholar

Jonas Dippel

Google Scholar ID: ZLQCgRoAAAAJ

TU Berlin

Google Scholar↗

Citations & Impact

All-time

Citations

434

H-index

9

i10-index

7

Publications

20

Co-authors

18

list available

Contact

No contact links provided.

Publications

8 items

Beyond Attention Heatmaps: How to Get Better Explanations for Multiple Instance Learning Models in Histopathology

2026

Cited

0

Atlas 2 - Foundation models for clinical deployment

arXiv.org · 2026

Cited

0

Towards Robust Foundation Models for Digital Pathology

2025

Cited

0

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification

2025

Cited

0

A Novel Pathology Foundation Model by Mayo Clinic, Charit'e, and Aignostics

2025

Cited

0

Training objective drives the consistency of representational similarity across datasets

arXiv.org · 2024

Cited

5

xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology

arXiv.org · 2024

Cited

2

Human alignment of neural network representations

International Conference on Learning Representations · 2022

Cited

41

Resume (English only)

Co-authors

18 total

Klaus-Robert Müller

TU Berlin & Korea University & Google DeepMind & Max Planck Institute for Informatics, Germany

Frederick Klauschen

Institute of Pathology, University of Munich (LMU)

Maximilian Alber

Lukas Muttenthaler

TU Berlin & Google DeepMind

Grégoire Montavon

Professor, Charité / BIFOLD

Lorenz Linhardt