Philipp Berens

Philipp Berens

Eberhard Karls Universität Tübingen

H-index: 40

Europe-Germany

About Philipp Berens

Philipp Berens, With an exceptional h-index of 40 and a recent h-index of 38 (since 2020), a distinguished researcher at Eberhard Karls Universität Tübingen, specializes in the field of Neuroscience, Data Science, Machine Learning, Digital Medicine, Medical AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Visualizing single-cell data with the neighbor embedding spectrum

Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations

The art of seeing the elephant in the room: 2D embeddings of single-cell data do make sense

Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach

Interpretable detection of epiretinal membrane from optical coherence tomography with deep neural networks

Efficiently correcting patch-based segmentation errors to control image-level performance

Sustained ON alpha retinal ganglion cells in the temporal retina exhibit task-specific regional adaptions in dendritic signal integration

Estimating Causal Effects with Double Machine Learning--A Method Evaluation

Philipp Berens Information

University

Position

Institute for Ophthalmic Research

Citations(all)

12992

Citations(since 2020)

8810

Cited By

7434

hIndex(all)

40

hIndex(since 2020)

38

i10Index(all)

66

i10Index(since 2020)

62

Email

University Profile Page

Eberhard Karls Universität Tübingen

Google Scholar

View Google Scholar Profile

Philipp Berens Skills & Research Interests

Neuroscience

Data Science

Machine Learning

Digital Medicine

Medical AI

Top articles of Philipp Berens

Title

Journal

Author(s)

Publication Date

Visualizing single-cell data with the neighbor embedding spectrum

bioRxiv

Sebastian Damrich

Manuel V Klockow

Philipp Berens

Fred A Hamprecht

Dmitry Kobak

2024

Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations

arXiv preprint arXiv:2402.12231

Jonas Beck

Nathanael Bosch

Michael Deistler

Kyra L Kadhim

Jakob H Macke

...

2024/2/19

The art of seeing the elephant in the room: 2D embeddings of single-cell data do make sense

bioRxiv

Jan Lause

Dmitry Kobak

Philipp Berens

2024

Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach

Anna M Wundram

Paul Fischer

Stephan Wunderlich

Hanna Faber

Lisa M Koch

...

2024/2/13

Interpretable detection of epiretinal membrane from optical coherence tomography with deep neural networks

Scientific Reports

Murat Seçkin Ayhan

Jonas Neubauer

Mehmet Murat Uzel

Faik Gelisken

Philipp Berens

2024/4/11

Efficiently correcting patch-based segmentation errors to control image-level performance

Patrick Köhler

Jeremiah Fadugba

Philipp Berens

Lisa M Koch

2024/2/13

Sustained ON alpha retinal ganglion cells in the temporal retina exhibit task-specific regional adaptions in dendritic signal integration

bioRxiv

Jonathan Oesterle

Yanli Ran

Paul Stahr

Jason ND Kerr

Timm Schubert

...

2024

Estimating Causal Effects with Double Machine Learning--A Method Evaluation

arXiv preprint arXiv:2403.14385

Jonathan Fuhr

Philipp Berens

Dominik Papies

2024/3/21

GABAergic amacrine cells balance biased chromatic information in the mouse retina

bioRxiv

Marili M Korympidou

Sarah Strauss

Timm Schubert

Katrin Franke

Philipp Berens

...

2024

A computational approach to visual ecology with deep reinforcement learning

arXiv preprint arXiv:2402.05266

Sacha Sokoloski

Jure Majnik

Philipp Berens

2024/2/7

Disentangling representations of retinal images with generative models

arXiv preprint arXiv:2402.19186

Sarah Müller

Lisa M Koch

Hendrik Lensch

Philipp Berens

2024/2/29

Sparse Activations for Interpretable Disease Grading

Christian F Baumgartner

Kerol R Djoumessi Donteu

Indu Ilanchezian

Laura Kühlewein

Hanna Faber

...

2023/7/12

Self-supervised Visualisation of Medical Image Datasets

arXiv preprint arXiv:2402.14566

Ifeoma Veronica Nwabufo

Jan Niklas Böhm

Philipp Berens

Dmitry Kobak

2024/2/22

Persistent homology for high-dimensional data based on spectral methods

arXiv preprint arXiv:2311.03087

Sebastian Damrich

Philipp Berens

Dmitry Kobak

2023/11/6

Correction to: Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models

Journal of Computational Neuroscience

Jonathan Oesterle

Nicholas Krämer

Philipp Hennig

Philipp Berens

2023

Multitask Learning for Activity Detection in Neovascular Age-Related Macular Degeneration

Translational Vision Science & Technology

Murat Seçkin Ayhan

Hanna Faber

Laura Kühlewein

Werner Inhoffen

Gulnar Aliyeva

...

2023/4/3

Maximally discriminative stimuli for functional cell type identification

Max F Burg

Thomas Zenkel

Michaela Vystrčilová

Jonathan Oesterle

Larissa Höfling

...

2023/10/13

Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling (Dagstuhl Seminar 22382)

Philipp Berens

Kyle Cranmer

Neil D Lawrence

Ulrike von Luxburg

Jessica Montgomery

2023

Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images

arXiv preprint arXiv:2303.04862

Lisa M Koch

Christian M Schürch

Christian F Baumgartner

Arthur Gretton

Philipp Berens

2023/3/8

Compound models and Pearson residuals for normalization of single-cell RNA-seq data without UMIs

bioRxiv

Jan Lause

Christoph Ziegenhain

Leonard Hartmanis

Philipp Berens

Dmitry Kobak

2023/8/5

See List of Professors in Philipp Berens University(Eberhard Karls Universität Tübingen)

Co-Authors

H-index: 122
Nikos Logothetis

Nikos Logothetis

Stanford University

H-index: 62
Rickard Sandberg

Rickard Sandberg

Karolinska Institutet

H-index: 61
Andreas Tolias

Andreas Tolias

Baylor College of Medicine

H-index: 43
Thomas Euler

Thomas Euler

Eberhard Karls Universität Tübingen

H-index: 36
Alexander S. Ecker

Alexander S. Ecker

Georg-August-Universität Göttingen

H-index: 32
Jacob Reimer

Jacob Reimer

Baylor College of Medicine

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