Jan Soelter

Jan Soelter

Université du Luxembourg

H-index: 14

Europe-Luxembourg

About Jan Soelter

Jan Soelter, With an exceptional h-index of 14 and a recent h-index of 11 (since 2020), a distinguished researcher at Université du Luxembourg, specializes in the field of Machine Learning, Computational Neuroscience.

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

Stellenwert der Clamshell-Thorakotomie für die Notfall-und Einsatzchirurgie–eine systematische Literaturübersicht

Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge

Generalising from conventional pipelines using deep learning in high-throughput screening workflows

Generalising from Conventional Pipelines: A Case Study in Deep Learning-Based for High-Throughput Screening

Challenging conventional wisdom: Experimental evidence on heterogeneity and coordination in avoiding a collective catastrophic event

Leveraging state-of-the-art architectures by enriching training information-a case study

Model bias and its impact on computer-aided diagnosis: A data-centric approach

Public covid-19 x-ray datasets and their impact on model bias–a systematic review of a significant problem

Jan Soelter Information

University

Position

PostDoc, Luxembourg Centre for Systems Biomedicine

Citations(all)

2749

Citations(since 2020)

1465

Cited By

1871

hIndex(all)

14

hIndex(since 2020)

11

i10Index(all)

16

i10Index(since 2020)

13

Email

University Profile Page

Université du Luxembourg

Google Scholar

View Google Scholar Profile

Jan Soelter Skills & Research Interests

Machine Learning

Computational Neuroscience

Top articles of Jan Soelter

Title

Journal

Author(s)

Publication Date

Stellenwert der Clamshell-Thorakotomie für die Notfall-und Einsatzchirurgie–eine systematische Literaturübersicht

Moritz Witzenhausen

Sebastian Brill

Jan Sölter

Roland Schmidt

Christian Beltzer

...

2023

Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge

Medical image analysis

Holger R Roth

Ziyue Xu

Carlos Tor-Díez

Ramon Sanchez Jacob

Jonathan Zember

...

2022/11/1

Generalising from conventional pipelines using deep learning in high-throughput screening workflows

Scientific Reports

Beatriz Garcia Santa Cruz

Jan Slter

Gemma Gomez-Giro

Claudia Saraiva

Sonia Sabate-Soler

...

2022/7/6

Generalising from Conventional Pipelines: A Case Study in Deep Learning-Based for High-Throughput Screening

Beatriz García Santa Cruz

Jan Sölter

Gemma Gomez Giro

Claudia Saraiva

Sonia Sabaté-Soler

...

2021/10/29

Challenging conventional wisdom: Experimental evidence on heterogeneity and coordination in avoiding a collective catastrophic event

Journal of Environmental Economics and Management

Israel Waichman

Till Requate

Markus Karde

Manfred Milinski

2021/9/1

Leveraging state-of-the-art architectures by enriching training information-a case study

Jan Sölter

Daniele Proverbio

Mehri Baniasadi

Matias Nicolas Bossa

Vanja Vlasov

...

2021/1/11

Model bias and its impact on computer-aided diagnosis: A data-centric approach

Beatriz Garcia Santa Cruz

Matias Nicolas Bossa

Jan Sölter

Andreas Husch

Frank Hertel

2021

Public covid-19 x-ray datasets and their impact on model bias–a systematic review of a significant problem

Beatriz Garcia Santa Cruz

Matías Nicolás Bossa

Jan Sölter

Andreas Dominik Husch

2021/12/1

Computational exploration of molecular receptive fields in the olfactory bulb reveals a glomerulus-centric chemical map

Scientific reports

Jan Soelter

Jan Schumacher

Hartwig Spors

Michael Schmuker

2020/1/9

On the composition and limitations of publicly available covid-19 x-ray imaging datasets

arXiv preprint arXiv:2008.11572

Beatriz Garcia Santa Cruz

Jan Sölter

Matias Nicolas Bossa

Andreas Dominik Husch

2020/8/26

See List of Professors in Jan Soelter University(Université du Luxembourg)