Jeroen van der Laak

Jeroen van der Laak

Radboud Universiteit

H-index: 55

Europe-Netherlands

About Jeroen van der Laak

Jeroen van der Laak, With an exceptional h-index of 55 and a recent h-index of 42 (since 2020), a distinguished researcher at Radboud Universiteit, specializes in the field of Digital Pathology, Computational Pathology, Deep Learning, Image Analysis.

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

The Banff 2022 Kidney Meeting Work Plan: data-driven refinement of the Banff Classification for renal allografts

Multi-resolution deep learning characterizes tertiary lymphoid structures and their prognostic relevance in solid tumors

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

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

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

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

Deep learning detects premalignant lesions in the Fallopian tube

Automated mitotic spindle hotspot counts are highly associated with clinical outcomes in systemically untreated early-stage triple-negative breast cancer

Jeroen van der Laak Information

University

Position

Radboud University Medical Center

Citations(all)

26897

Citations(since 2020)

21997

Cited By

13599

hIndex(all)

55

hIndex(since 2020)

42

i10Index(all)

155

i10Index(since 2020)

115

Email

University Profile Page

Radboud Universiteit

Google Scholar

View Google Scholar Profile

Jeroen van der Laak Skills & Research Interests

Digital Pathology

Computational Pathology

Deep Learning

Image Analysis

Top articles of Jeroen van der Laak

Title

Journal

Author(s)

Publication Date

The Banff 2022 Kidney Meeting Work Plan: data-driven refinement of the Banff Classification for renal allografts

American journal of transplantation

Candice Roufosse

Maarten Naesens

Mark Haas

Carmen Lefaucheur

Roslyn B Mannon

...

2024/3/1

Multi-resolution deep learning characterizes tertiary lymphoid structures and their prognostic relevance in solid tumors

Communications Medicine

Mart van Rijthoven

Simon Obahor

Fabio Pagliarulo

Maries van den Broek

Peter Schraml

...

2024/1/5

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

Khrystyna Faryna

Jeroen van der Laak

Geert Litjens

2024/4/3

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

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

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

Deep learning detects premalignant lesions in the Fallopian tube

npj Women's Health

Joep MA Bogaerts

John-Melle Bokhorst

Michiel Simons

Majke HD van Bommel

Miranda P Steenbeek

...

2024/4/29

Automated mitotic spindle hotspot counts are highly associated with clinical outcomes in systemically untreated early-stage triple-negative breast cancer

npj Breast Cancer

Roberto A Leon-Ferre

Jodi M Carter

David Zahrieh

Jason P Sinnwell

Roberto Salgado

...

2024/3/29

Image‐based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno‐oncology Biomarker Working Group on Breast Cancer

Chowdhury Arif Jahangir

David B Page

Glenn Broeckx

Claudia A Gonzalez

Caoimbhe Burke

...

2024/1/17

Masked attention as a mechanism for improving interpretability of Vision Transformers

arXiv preprint arXiv:2404.18152

Clément Grisi

Geert Litjens

Jeroen van der Laak

2024/4/28

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

Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation

Artur Jurgas

Marek Wodzinski

Marina D'Amato

Jeroen van der Laak

Manfredo Atzori

...

2024/3/19

Lymph node metastases and recurrence in pT1 colorectal cancer: Prediction with the International Budding Consortium Score—A retrospective, multi‐centric study

United European gastroenterology journal

Heather Dawson

John‐Melle Bokhorst

Linda Studer

Michael Vieth

Ayse Selcen Oguz Erdogan

...

2024/1/9

Reply to:“Addressing Chatbots as Artificial Intelligence Aids in Pediatric Pathology”

Pediatric and Developmental Pathology

Ananda van der Kamp

Tomas J Waterlander

Thomas de Bel

Jeroen van der Laak

Marry M van den Heuvel-Eibrink

...

2024/4/14

Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno‐Oncology Biomarker Working Group on Breast …

David B Page

Glenn Broeckx

Chowdhury Arif Jahangir

Sara Verbandt

Rajarsi R Gupta

...

2023/8

Banff Digital Pathology Working Group: Image Bank

Artificial Intelligence Algorithm, and Challenge Trial Developments. Transpl Int 36: 11783. doi: 10.3389/ti

AB Farris

MP Alexander

UGJ Balis

L Barisoni

P Boor

...

2023/10/16

Deep learning based tumor–stroma ratio scoring in colon cancer correlates with microscopic assessment

Journal of Pathology Informatics

Marloes A Smit

Francesco Ciompi

John-Melle Bokhorst

Gabi W van Pelt

Oscar GF Geessink

...

2023/1/1

On the robustness of regressing tumor percentage as an explainable detector in histopathology whole-slide images

Marina D'Amato

Maschenka Balkenhol

Mart van Rijthoven

Jeroen van der Laak

Francesco Ciompi

2023/4/28

A whole‐slide imaging based workflow reduces the reading time of pathologists

Pathology International

Alexi Baidoshvili

Mariam Khacheishvili

Jeroen AWM van der Laak

Paul J van Diest

2023/3

Pitfalls in machine learning‐based assessment of tumor‐infiltrating lymphocytes in breast cancer: A report of the International Immuno‐Oncology Biomarker Working Group on …

Jeppe Thagaard

Glenn Broeckx

David B Page

Chowdhury Arif Jahangir

Sara Verbandt

...

2023/8

See List of Professors in Jeroen van der Laak University(Radboud Universiteit)

Co-Authors

H-index: 110
Bram van Ginneken

Bram van Ginneken

Radboud Universiteit

H-index: 85
D J Hawkes

D J Hawkes

University College London

H-index: 76
Nico Karssemeijer

Nico Karssemeijer

Radboud Universiteit

H-index: 55
Matthijs Kox

Matthijs Kox

Radboud Universiteit

H-index: 52
Chris L. de Korte

Chris L. de Korte

Radboud Universiteit

H-index: 52
Geert Litjens

Geert Litjens

Radboud Universiteit

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