Hans Pinckaers

Hans Pinckaers

Radboud Universiteit

H-index: 13

Europe-Netherlands

About Hans Pinckaers

Hans Pinckaers, With an exceptional h-index of 13 and a recent h-index of 12 (since 2020), a distinguished researcher at Radboud Universiteit, specializes in the field of Computational pathology, Deep learning, Biomedical sciences.

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

Abstract PO4-01-10: Multi-modal artificial intelligence models from baseline histopathology predict prognosis in HR+ HER2-early breast cancer

Gigapixel end-to-end training using streaming and attention

Artificial intelligence predictive model for hormone therapy use in prostate cancer

Artificial Intelligence Biomarker for Hormone Therapy Use in Prostate Cancer

Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision

Predicting biochemical recurrence of prostate cancer with artificial intelligence

Gleason grading of prostate cancer using artificial intelligence: lessons learned from the PANDA challenge

Using deep learning for quantification of cellularity and cell lineages in bone marrow biopsies and comparison to normal age-related variation

Hans Pinckaers Information

University

Position

PhD candidate, Radboud University Medical Center, Computational Pathology Group

Citations(all)

1320

Citations(since 2020)

1290

Cited By

250

hIndex(all)

13

hIndex(since 2020)

12

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

Radboud Universiteit

Google Scholar

View Google Scholar Profile

Hans Pinckaers Skills & Research Interests

Computational pathology

Deep learning

Biomedical sciences

Top articles of Hans Pinckaers

Title

Journal

Author(s)

Publication Date

Abstract PO4-01-10: Multi-modal artificial intelligence models from baseline histopathology predict prognosis in HR+ HER2-early breast cancer

Cancer Research

Daniel Kates-Harbeck

Hans-Heinrich Kreipe

Oleg Gluz

Matthias Christgen

Sherko Kuemmel

...

2024/5/2

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

Artificial intelligence predictive model for hormone therapy use in prostate cancer

NEJM evidence

Daniel E Spratt

Siyi Tang

Yilun Sun

Huei-Chung Huang

Emmalyn Chen

...

2023/7/25

Artificial Intelligence Biomarker for Hormone Therapy Use in Prostate Cancer

Daniel E Spratt

Siyi Tang

Yilun Sun

Huei-Chung Huang

Emmalyn Chen

...

2023/4/21

Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision

Gregory Holste

Douwe van der Wal

Hans Pinckaers

Rikiya Yamashita

Akinori Mitani

...

2023/4/18

Predicting biochemical recurrence of prostate cancer with artificial intelligence

Communications Medicine

Hans Pinckaers

Jolique van Ipenburg

Jonathan Melamed

Angelo De Marzo

Elizabeth A Platz

...

2022/6/8

Gleason grading of prostate cancer using artificial intelligence: lessons learned from the PANDA challenge

Kimmo Kartasalo

Peter Ström

Martin Eklund

Wouter Bulten

Hans Pinckaers

...

2022/4/25

Using deep learning for quantification of cellularity and cell lineages in bone marrow biopsies and comparison to normal age-related variation

Pathology

Leander van Eekelen

Hans Pinckaers

Michiel van den Brand

Konnie M Hebeda

Geert Litjens

2022/4/1

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Nature medicine

Wouter Bulten

Kimmo Kartasalo

Po-Hsuan Cameron Chen

Peter Ström

Hans Pinckaers

...

2022/1

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

Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels

IEEE Transactions on medical imaging

Hans Pinckaers

Wouter Bulten

Jeroen Van der Laak

Geert Litjens

2021/3/17

Multi-class semantic cell segmentation and classification of aplasia in bone marrow histology images

Leander van Eekelen

Hans Pinckaers

Konnie M Hebeda

Geert Litjens

2020/3/16

Mobile e‐diary application facilitates the monitoring of patient‐reported outcomes and a high treatment adherence for clinical trials in dermatology

Journal of the European Academy of Dermatology and Venereology

M Rijsbergen

T Niemeyer‐van der Kolk

R Rijneveld

JHFM Pinckaers

I Meshcheriakov

...

2020/3

Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study

Cancer Research

Derek Van Booven

Victor Sandoval

Oleksander Kryvenko

Madhumita Parmar

Andres Briseño

...

2021/7/1

See List of Professors in Hans Pinckaers University(Radboud Universiteit)

Co-Authors

H-index: 128
Angelo M. De Marzo M.D., Ph.D.

Angelo M. De Marzo M.D., Ph.D.

Johns Hopkins University

H-index: 110
Bram van Ginneken

Bram van Ginneken

Radboud Universiteit

H-index: 55
Jeroen van der Laak

Jeroen van der Laak

Radboud Universiteit

H-index: 52
Geert Litjens

Geert Litjens

Radboud Universiteit

H-index: 36
Francesco Ciompi

Francesco Ciompi

Radboud Universiteit

H-index: 27
Pekka Ruusuvuori

Pekka Ruusuvuori

Turun yliopisto

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