Geert Litjens

Geert Litjens

Radboud Universiteit

H-index: 52

Europe-Netherlands

About Geert Litjens

Geert Litjens, With an exceptional h-index of 52 and a recent h-index of 47 (since 2020), a distinguished researcher at Radboud Universiteit, specializes in the field of digital pathology, computer-aided detection, MRI, prostate cancer, breast cancer.

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

Diffusion models for out-of-distribution detection in digital pathology

Metrics reloaded: recommendations for image analysis validation

Artificial intelligence in bone marrow histological diagnostics: potential applications and challenges

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

Full resolution reconstruction of whole-mount sections from digitized individual tissue fragments

Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology

Three-dimensional identification of microvascular pathology and neurovascular inflammation in severe white matter hyperintensity: a case report

Towards embedding stain-invariance in convolutional neural networks for H&E-stained histopathology

Geert Litjens Information

University

Position

Radboud University Medical Center

Citations(all)

28029

Citations(since 2020)

24980

Cited By

12219

hIndex(all)

52

hIndex(since 2020)

47

i10Index(all)

85

i10Index(since 2020)

79

Email

University Profile Page

Radboud Universiteit

Google Scholar

View Google Scholar Profile

Geert Litjens Skills & Research Interests

digital pathology

computer-aided detection

MRI

prostate cancer

breast cancer

Top articles of Geert Litjens

Title

Journal

Author(s)

Publication Date

Diffusion models for out-of-distribution detection in digital pathology

Medical Image Analysis

Jasper Linmans

Gabriel Raya

Jeroen van der Laak

Geert Litjens

2024/4/1

Metrics reloaded: recommendations for image analysis validation

Lena Maier-Hein

Annika Reinke

Patrick Godau

Minu D Tizabi

Florian Buettner

...

2024/2/12

Artificial intelligence in bone marrow histological diagnostics: potential applications and challenges

Leander van Eekelen

Geert Litjens

Konnie M Hebeda

2024/2

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

Full resolution reconstruction of whole-mount sections from digitized individual tissue fragments

Scientific Reports

Daan Schouten

Jeroen van der Laak

Bram van Ginneken

Geert Litjens

2024/1/17

Automatic data augmentation to improve generalization of deep learning in H&E stained histopathology

Computers in Biology and Medicine

Khrystyna Faryna

Jeroen van der Laak

Geert Litjens

2024/3/1

Three-dimensional identification of microvascular pathology and neurovascular inflammation in severe white matter hyperintensity: a case report

Scientific Reports

Gemma Solé-Guardia

Matthijs Luijten

Bram Geenen

Jurgen AHR Claassen

Geert Litjens

...

2024/2/29

Towards embedding stain-invariance in convolutional neural networks for H&E-stained histopathology

Khrystyna Faryna

Jeroen van der Laak

Geert Litjens

2024/4/3

Uncertainty-guided annotation enhances segmentation with the human-in-the-loop

arXiv preprint arXiv:2404.07208

Nadieh Khalili

Joey Spronck

Francesco Ciompi

Jeroen van der Laak

Geert Litjens

2024/2/16

Tumoral Ki67 and PSMA Expression in Fresh Pre-PSMA-RLT Biopsies and Its Relation With PSMA-PET Imaging and Outcomes of PSMA-RLT in Patients With mCRPC

Clinical Genitourinary Cancer

Babette I Laarhuis

Marcel JR Janssen

Michiel Simons

Ludwike WM van Kalmthout

Maarten J van der Doelen

...

2023/10/1

Automatic quantification of TSR as a prognostic marker for pancreatic cancer.

Pierpaolo Vendittelli

John-Melle Bokhorst

Esther Markus Smeets

Valentyna Kryklyva

Lodewijk Brosens

...

2023

Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications

Gastroenterology

Megan Schuurmans

Natália Alves

Pierpaolo Vendittelli

Henkjan Huisman

John Hermans

...

2023/8/1

Predictive uncertainty estimation for out-of-distribution detection in digital pathology

Medical Image Analysis

Jasper Linmans

Stefan Elfwing

Jeroen van der Laak

Geert Litjens

2023/1/1

Gigapixel end-to-end training using streaming and attention

Medical Image Analysis

Stephan Dooper

Hans Pinckaers

Witali Aswolinskiy

Konnie Hebeda

Sofia Jarkman

...

2023/8/1

PythoStitcher: an iterative approach for stitching digitized tissue fragments into full resolution whole-mount reconstructions

Daan N Schouten

Geert JS Litjens

2023/4/6

Hierarchical Vision Transformers for Context-Aware Prostate Cancer Grading in Whole Slide Images

arXiv preprint arXiv:2312.12619

Clément Grisi

Geert Litjens

Jeroen van der Laak

2023/12/19

Continual learning strategies for cancer-independent detection of lymph node metastases

Medical Image Analysis

Péter Bándi

Maschenka Balkenhol

Marcory van Dijk

Michel Kok

Bram van Ginneken

...

2023/4/1

The Latent Doctor Model for Modeling Inter-Observer Variability

IEEE Journal of Biomedical and Health Informatics

Jasper Linmans

Emiel Hoogeboom

Jeroen van der Laak

Geert Litjens

2023/10/13

Understanding metric-related pitfalls in image analysis validation

Annika Reinke

Minu D Tizabi

Michael Baumgartner

Matthias Eisenmann

Doreen Heckmann-Nötzel

...

2024/2/12

Domain adaptation strategies for cancer-independent detection of lymph node metastases

arXiv preprint arXiv:2207.06193

Péter Bándi

Maschenka Balkenhol

Marcory Van Dijk

Bram van Ginneken

Jeroen van der Laak

...

2022/7/13

See List of Professors in Geert Litjens University(Radboud Universiteit)

Co-Authors

H-index: 110
Bram van Ginneken

Bram van Ginneken

Radboud Universiteit

H-index: 76
Nico Karssemeijer

Nico Karssemeijer

Radboud Universiteit

H-index: 55
Ritse Mann

Ritse Mann

Radboud Universiteit

H-index: 55
Jeroen van der Laak

Jeroen van der Laak

Radboud Universiteit

H-index: 52
Henkjan Huisman

Henkjan Huisman

Radboud Universiteit

H-index: 44
Clara I. Sánchez

Clara I. Sánchez

Universiteit van Amsterdam

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