Daan Geijs

Daan Geijs

Radboud Universiteit

H-index: 5

Europe-Netherlands

About Daan Geijs

Daan Geijs, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Radboud Universiteit, specializes in the field of deep learning, image analysis, skin cancer.

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

Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning

Fibroblast Activation Protein-Targeted Photodynamic Therapy of Cancer-Associated Fibroblasts in Murine Models for Pancreatic Ductal Adenocarcinoma

Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning

Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics

End-to-end classification on basal-cell carcinoma histopathology whole-slides images

Low dimensional state representation learning with reward-shaped priors

Daan Geijs Information

University

Position

PhD candidate | Radboudumc | Working on deep learning for skin cancer assessment

Citations(all)

155

Citations(since 2020)

148

Cited By

44

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Radboud Universiteit

Google Scholar

View Google Scholar Profile

Daan Geijs Skills & Research Interests

deep learning

image analysis

skin cancer

Top articles of Daan Geijs

Title

Journal

Author(s)

Publication Date

Detection and subtyping of basal cell carcinoma in whole-slide histopathology using weakly-supervised learning

Medical Image Analysis

Daan J Geijs

Stephan Dooper

Witali Aswolinskiy

Lisa M Hillen

Avital L Amir

...

2024/4/1

Fibroblast Activation Protein-Targeted Photodynamic Therapy of Cancer-Associated Fibroblasts in Murine Models for Pancreatic Ductal Adenocarcinoma

International Journal of Molecular Sciences

Daphne N Dorst

Arjan PM van Caam

Elly L Vitters

Birgitte Walgreen

Monique MA Helsen

...

2021/11/24

Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning

Laboratory Investigation

Meyke Hermsen

Valery Volk

Jan Hinrich Bräsen

Daan J Geijs

Wilfried Gwinner

...

2021/8/1

Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics

The Breast

Maschenka CA Balkenhol

Francesco Ciompi

Żaneta Świderska-Chadaj

Rob van de Loo

Milad Intezar

...

2021/4/1

End-to-end classification on basal-cell carcinoma histopathology whole-slides images

Daan J Geijs

Hans Pinckaers

Avital L Amir

GJS Litjens

2021/2/15

Low dimensional state representation learning with reward-shaped priors

Nicolò Botteghi

Ruben Obbink

Daan Geijs

Mannes Poel

Beril Sirmacek

...

2021/1/10

See List of Professors in Daan Geijs University(Radboud Universiteit)

Co-Authors

H-index: 55
Jeroen van der Laak

Jeroen van der Laak

Radboud Universiteit

H-index: 52
Geert Litjens

Geert Litjens

Radboud Universiteit

H-index: 16
Maschenka Balkenhol MD, PhD

Maschenka Balkenhol MD, PhD

Radboud Universiteit

H-index: 13
Hans Pinckaers

Hans Pinckaers

Radboud Universiteit

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