Fred A. Hamprecht

About Fred A. Hamprecht

Fred A. Hamprecht, With an exceptional h-index of 57 and a recent h-index of 38 (since 2020), a distinguished researcher at Ruprecht-Karls-Universität Heidelberg, specializes in the field of Scientific AI, Machine Learning.

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

Visualizing single-cell data with the neighbor embedding spectrum

A deep learning-based toolkit for 3D nuclei segmentation and quantitative analysis in cellular and tissue context

SynCellFactory: Generative Data Augmentation for Cell Tracking

The Central Spanning Tree Problem

Schöne neue Welt: Im Gespräch mit ChatGPT

KineticNet: Deep learning a transferable kinetic energy functional for orbital-free density functional theory

Geometric autoencoders: what you see is what you decode

From t-SNE to UMAP with contrastive learning

Fred A. Hamprecht Information

University

Position

Professor

Citations(all)

16850

Citations(since 2020)

9328

Cited By

10637

hIndex(all)

57

hIndex(since 2020)

38

i10Index(all)

153

i10Index(since 2020)

106

Email

University Profile Page

Ruprecht-Karls-Universität Heidelberg

Google Scholar

View Google Scholar Profile

Fred A. Hamprecht Skills & Research Interests

Scientific AI

Machine Learning

Top articles of Fred A. Hamprecht

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

A deep learning-based toolkit for 3D nuclei segmentation and quantitative analysis in cellular and tissue context

bioRxiv

Athul Vijayan

Tejasvinee Atul Mody

Qin Yu

Adrian Wolny

Lorenzo Cerrone

...

2024

SynCellFactory: Generative Data Augmentation for Cell Tracking

arXiv preprint arXiv:2404.16421

Moritz Sturm

Lorenzo Cerrone

Fred A Hamprecht

2024/4/25

The Central Spanning Tree Problem

Enrique Fita Sanmartín

Christoph Schnoerr

Fred A Hamprecht

2023/10/13

Schöne neue Welt: Im Gespräch mit ChatGPT

Ruperto Carola

Fred Hamprecht

2024/3/5

KineticNet: Deep learning a transferable kinetic energy functional for orbital-free density functional theory

The Journal of Chemical Physics

Roman Remme

Tobias Kaczun

Maximilian Scheurer

Andreas Dreuw

Fred A Hamprecht

2023/10/14

Geometric autoencoders: what you see is what you decode

Philipp Nazari

Sebastian Damrich

Fred A. Hamprecht

2023/7/23

From t-SNE to UMAP with contrastive learning

Sebastian Damrich

Niklas Böhm

Fred A. Hamprecht

Dmitry Kobak

2023

Seipin forms a flexible cage at lipid droplet formation sites

Nature structural & molecular biology

Henning Arlt

Xuewu Sui

Brayden Folger

Carson Adams

Xiao Chen

...

2022/3

Theory and approximate solvers for branched optimal transport with multiple sources

Advances in Neural Information Processing Systems

Peter Lippmann

Enrique Fita Sanmartín

Fred A Hamprecht

2022/12/6

GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation

Alberto Bailoni

Constantin Pape

Nathan Hütsch

Steffen Wolf

Thorsten Beier

...

2022

Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder

Bioinformatics

Quentin Garrido

Sebastian Damrich

Alexander Jäger

Dario Cerletti

Manfred Claassen

...

2022/7/1

CellTypeGraph: A New Geometric Computer Vision Benchmark

Lorenzo Cerrone

Athul Vijayan

Tejasvinee Mody

Kay Schneitz

Fred A Hamprecht

2022

The algebraic path problem for graph metrics

Enrique Fita Sanmartın

Sebastian Damrich

Fred Hamprecht

2022/6/28

Metrics reloaded-a new recommendation framework for biomedical image analysis validation

Annika Reinke

Lena Maier-Hein

Evangelia Christodoulou

Ben Glocker

Patrick Scholz

...

2022/4/25

Temporal control of the integrated stress response by a stochastic molecular switch

Science Advances

Philipp Klein

Stefan M Kallenberger

Hanna Roth

Karsten Roth

Thi Bach Nga Ly-Hartig

...

2022/3/23

Active machine learning for training an event classification

2021/1/19

Integration of Cell Growth and Asymmetric Division during Lateral Root Initiation in Arabidopsis thaliana

Plant and Cell Physiology

Lilli Marie Schütz

Marion Louveaux

Amaya Vilches Barro

Sami Bouziri

Lorenzo Cerrone

...

2021/8/1

A digital 3D reference atlas reveals cellular growth patterns shaping the Arabidopsis ovule

Elife

Athul Vijayan

Rachele Tofanelli

Sören Strauss

Lorenzo Cerrone

Adrian Wolny

...

2021/1/6

Multistar: Instance segmentation of overlapping objects with star-convex polygons

Florin C Walter

Sebastian Damrich

Fred A Hamprecht

2021/4/13

See List of Professors in Fred A. Hamprecht University(Ruprecht-Karls-Universität Heidelberg)

Co-Authors

H-index: 67
Hanno Steen

Hanno Steen

Harvard University

H-index: 63
Bjoern H Menze

Bjoern H Menze

Universität Zürich

H-index: 62
Graham Knott

Graham Knott

École Polytechnique Fédérale de Lausanne

H-index: 41
Judith A. Jebanathirajah Steen

Judith A. Jebanathirajah Steen

Harvard University

H-index: 16
Christoph Sommer

Christoph Sommer

Institute of Science and Technology Austria

H-index: 15
Steffen Wolf

Steffen Wolf

Heidelberg University

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