Nico Karssemeijer

Nico Karssemeijer

Radboud Universiteit

H-index: 76

Europe-Netherlands

About Nico Karssemeijer

Nico Karssemeijer, With an exceptional h-index of 76 and a recent h-index of 49 (since 2020), a distinguished researcher at Radboud Universiteit, specializes in the field of Computer Aided Diagnosis, Medical Image Analysis, Pattern Recognition.

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

Re-attendance in supplemental breast MRI screening rounds of the DENSE trial for women with extremely dense breasts

Apparatus for determining a temporal breast cancer risk

Predicting up to 10 year breast cancer risk using longitudinal mammographic screening history

Predicting long term breast cancer risk using longitudinal mammographic screening history

Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk

Assessing breast cancer risk by combining ai for lesion detection and mammographic texture

Improving Lesion Volume Measurements on Digital Mammograms

Multi-modal artificial intelligence for the combination of automated 3D breast ultrasound and mammograms in a population of women with predominantly dense breasts

Nico Karssemeijer Information

University

Position

Professor of Computer Aided Diagnosis

Citations(all)

21600

Citations(since 2020)

11613

Cited By

13533

hIndex(all)

76

hIndex(since 2020)

49

i10Index(all)

226

i10Index(since 2020)

143

Email

University Profile Page

Radboud Universiteit

Google Scholar

View Google Scholar Profile

Nico Karssemeijer Skills & Research Interests

Computer Aided Diagnosis

Medical Image Analysis

Pattern Recognition

Top articles of Nico Karssemeijer

Title

Journal

Author(s)

Publication Date

Re-attendance in supplemental breast MRI screening rounds of the DENSE trial for women with extremely dense breasts

European Radiology

Stefanie GA Veenhuizen

Sophie EL van Grinsven

Isabelle L Laseur

Marije F Bakker

Evelyn M Monninkhof

...

2024/4/19

Apparatus for determining a temporal breast cancer risk

2024/4/18

Predicting up to 10 year breast cancer risk using longitudinal mammographic screening history

medRxiv

Xin Wang

Tao Tan

Yuan Gao

Ruisheng Su

Tianyu Zhang

...

2023

Predicting long term breast cancer risk using longitudinal mammographic screening history

Tao Tan

Xin Wang

Yuan Gao

Ruisheng Su

Tianyu Zhang

...

2023/9/27

Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk

Journal of Medical Imaging

Andreas D Lauritzen

My Catarina von Euler-Chelpin

Elsebeth Lynge

Ilse Vejborg

Mads Nielsen

...

2023/9/1

Assessing breast cancer risk by combining ai for lesion detection and mammographic texture

Radiology

Andreas D Lauritzen

My C von Euler-Chelpin

Elsebeth Lynge

Ilse Vejborg

Mads Nielsen

...

2023/8/29

Improving Lesion Volume Measurements on Digital Mammograms

arXiv preprint arXiv:2308.14369

Nikita Moriakov

Jim Peters

Ritse Mann

Nico Karssemeijer

Jos van Dijck

...

2023/8/28

Multi-modal artificial intelligence for the combination of automated 3D breast ultrasound and mammograms in a population of women with predominantly dense breasts

Insights into Imaging

Tao Tan

Alejandro Rodriguez-Ruiz

Tianyu Zhang

Lin Xu

Regina GH Beets-Tan

...

2023/1/16

Annotation efficient breast and fibroglandular tissue segmentation using nnUNet in breast MRI

Riccardo Samperna

Nikita Moriakov

Nico Karssemeijer

Jonas Teuwen

Ritse M Mann

2022

Exploiting the Dixon Method for a Robust Breast and Fibro-Glandular Tissue Segmentation in Breast MRI

Diagnostics

Riccardo Samperna

Nikita Moriakov

Nico Karssemeijer

Jonas Teuwen

Ritse M Mann

2022/7/11

An artificial intelligence–based mammography screening protocol for breast cancer: outcome and radiologist workload

Radiology

Andreas D Lauritzen

Alejandro Rodríguez-Ruiz

My Catarina von Euler-Chelpin

Elsebeth Lynge

Ilse Vejborg

...

2022/7

Interval cancer detection using a neural network and breast density in women with negative screening mammograms

Radiology

Alexander JT Wanders

Willem Mees

Petra AM Bun

Natasja Janssen

Alejandro Rodríguez-Ruiz

...

2022/5

Using deep learning to assist readers during the arbitration process: a lesion-based retrospective evaluation of breast cancer screening performance

European Radiology

Laura Kerschke

Stefanie Weigel

Alejandro Rodriguez-Ruiz

Nico Karssemeijer

Walter Heindel

2022/2

Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

European radiology

Suzanne L van Winkel

Alejandro Rodríguez-Ruiz

Linda Appelman

Albert Gubern-Mérida

Nico Karssemeijer

...

2021/11

Supplemental breast MRI for women with extremely dense breasts: results of the second screening round of the DENSE trial

Radiology

Stefanie GA Veenhuizen

Stéphanie V de Lange

Marije F Bakker

Ruud M Pijnappel

Ritse M Mann

...

2021/5

Comparison of simultaneous multi-slice single-shot DWI to readout-segmented DWI for evaluation of breast lesions at 3T MRI

European journal of radiology

Wendelien BG Sanderink

Jonas Teuwen

Linda Appelman

Linda Moy

Laura Heacock

...

2021/5/1

Meerwaarde van MRI-screening bij zeer dicht borstweefsel in het bevolkingsonderzoek borstkanker

Nederlands tijdschrift voor geneeskunde

Stéphanie V de Lange

Marije F Bakker

Ruud M Pijnappel

Ritse M Mann

Petra HM Peeters

...

2020/4/1

Breast Lesion Excision System as a treatment method for small invasive breast cancers

European Journal of Cancer

W Sanderink

L Strobbe

P Bult

W Vreuls

I Sechopoulos

...

2020/10/1

Reliability of MRI tumor size measurements for minimal invasive treatment selection in small breast cancers

European Journal of Surgical Oncology

WBG Sanderink

M Caballo

LJA Strobbe

P Bult

Willem Vreuls

...

2020/8/1

Validation of radiologists’ findings by computer-aided detection (CAD) software in breast cancer detection with automated 3D breast ultrasound: a concept study in …

Acta Radiologica

Jan CM van Zelst

Tao Tan

Ritse M Mann

Nico Karssemeijer

2020/3

See List of Professors in Nico Karssemeijer University(Radboud Universiteit)

Co-Authors

H-index: 110
Bram van Ginneken

Bram van Ginneken

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
Geert Litjens

Geert Litjens

Radboud Universiteit

H-index: 52
Henkjan Huisman

Henkjan Huisman

Radboud Universiteit

H-index: 45
Mads Nielsen

Mads Nielsen

Københavns Universitet

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