Francesco Ciompi

Francesco Ciompi

Radboud Universiteit

H-index: 36

Europe-Netherlands

About Francesco Ciompi

Francesco Ciompi, With an exceptional h-index of 36 and a recent h-index of 32 (since 2020), a distinguished researcher at Radboud Universiteit, specializes in the field of Deep Learning, Computational Pathology, Medical Image Analysis, Computer Aided Diagnosis.

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

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

Automated classification of celiac disease in histopathological images: a multi-scale approach

Biological background of colorectal polyps and carcinomas with heterotopic ossification: A national study and literature review

A full pipeline to analyze lung histopathology images

Endometrial Pipelle Biopsy Computer-Aided Diagnosis: A Feasibility Study

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

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

Hitchhiker's guide to cancer-associated lymphoid aggregates in histology images: manual and deep learning-based quantification approaches

Francesco Ciompi Information

University

Position

Radboud University Medical Center, Nijmegen

Citations(all)

18434

Citations(since 2020)

16272

Cited By

8714

hIndex(all)

36

hIndex(since 2020)

32

i10Index(all)

72

i10Index(since 2020)

63

Email

University Profile Page

Radboud Universiteit

Google Scholar

View Google Scholar Profile

Francesco Ciompi Skills & Research Interests

Deep Learning

Computational Pathology

Medical Image Analysis

Computer Aided Diagnosis

Top articles of Francesco Ciompi

Title

Journal

Author(s)

Publication Date

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

Automated classification of celiac disease in histopathological images: a multi-scale approach

Simon Püttmann

Lluis Borras Ferris

Niccolò Marini

Witali Aswolinsky

Simona Vatrano

...

2024/4/3

Biological background of colorectal polyps and carcinomas with heterotopic ossification: A national study and literature review

Anne-Marie Vos

Lieke Pijnenborg

Shannon van Vliet

Liudmila L Kodach

Francesco Ciompi

...

2024/2/15

A full pipeline to analyze lung histopathology images

Lluis Borràs Ferrís

Simon Püttmann

Niccoló Marini

Simona Vatrano

Filippo Fragetta

...

2024/4/3

Endometrial Pipelle Biopsy Computer-Aided Diagnosis: A Feasibility Study

Modern Pathology

Sanne Vermorgen

Thijs Gelton

Peter Bult

Heidi VN Kusters-Vandevelde

Jitka Hausnerová

...

2024/2/1

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

Hitchhiker's guide to cancer-associated lymphoid aggregates in histology images: manual and deep learning-based quantification approaches

arXiv preprint arXiv:2403.04142

Karina Silina

Francesco Ciompi

2024/3/6

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

DEPICTER: Deep representation clustering for histology annotation

Computers in Biology and Medicine

Eduard Chelebian

Christophe Avenel

Francesco Ciompi

Carolina Wählby

2024/3/1

The Complexity of Shapes: How the Circularity of Tumor Nodules Affects Prognosis in Colorectal Cancer

Modern Pathology

Nelleke PM Brouwer

Amjad Khan

John-Melle Bokhorst

Fazael Ayatollahi

Jennifer Hay

...

2024/1/1

Prognostic value of deep learning based mitotic count in hormonal receptor-and HER2-positive breast cancer

Maschenka Balkenhol

Caner Mercan

Leslie Tessier

David Tellez

Roberto Salgado

...

2023/2/3

Caption generation from histopathology whole-slide images using pre-trained transformers

Bryan Cardenas Guevara

Niccolò Marini

Stefano Marchesin

Witali Aswolinskiy

Robert-Jan Schlimbach

...

2023/4/28

Integrating treatment cost reduction strategies and biomarker research to reduce costs and personalize expensive treatments: an example of a self-funding trial in non-small …

Frontiers in Pharmacology

Alessandra IG Buma

Berber Piet

Rob Ter Heine

Michel M van den Heuvel

2023/11/28

Mitosis domain generalization in histopathology images—the MIDOG challenge

Medical Image Analysis

Marc Aubreville

Nikolas Stathonikos

Christof A Bertram

Robert Klopfleisch

Natalie Ter Hoeve

...

2023/2/1

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

Modelling digital health data: The ExaMode ontology for computational pathology

Journal of Pathology Informatics

Laura Menotti

Gianmaria Silvello

Manfredo Atzori

Svetla Boytcheva

Francesco Ciompi

...

2023/1/1

PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning

Breast Cancer Research

Witali Aswolinskiy

Enrico Munari

Hugo M Horlings

Lennart Mulder

Giuseppe Bogina

...

2023/11/13

the MIDOG Challenge 2021: Mitosis Domain Generalization in Histopathology Images

Marc Aubreville

Nikolas Stathonikos

Christof A Bertram

Robert Klopfleisch

Natalie ter Hoeve

...

2023/6/2

nnUNet meets pathology: bridging the gap for application to whole-slide images and computational biomarkers

Joey Spronck

Thijs Gelton

Leander van Eekelen

Joep Bogaerts

Leslie Tessier

...

2023/4/4

See List of Professors in Francesco Ciompi University(Radboud Universiteit)

Co-Authors

H-index: 110
Bram van Ginneken

Bram van Ginneken

Radboud Universiteit

H-index: 93
Mathias Prokop

Mathias Prokop

Radboud Universiteit

H-index: 55
Jeroen van der Laak

Jeroen van der Laak

Radboud Universiteit

H-index: 54
petia radeva

petia radeva

Universidad de Barcelona

H-index: 52
Geert Litjens

Geert Litjens

Radboud Universiteit

H-index: 44
Clara I. Sánchez

Clara I. Sánchez

Universiteit van Amsterdam

academic-engine