Nico Karssemeijer - Concepedia

Author

Nico Karssemeijer

Radboud University Nijmegen

Also Known As

Karssemeijer, Nico, N Karssemeijer, N. Karssemeijer, Nico Karssemeijer

Publications

2.5K

Citations

H-Index

Concepts

All Affiliations

Radboud University Nijmegen Radboud University Medical Center University College London University Medical Center Charité - Universitätsmedizin Berlin

About

Nico Karssemeijer is an author at Radboud University Nijmegen specializing in medical imaging, engineering, and medical image computing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	25	1.4K
2	Health Sciences	13	14	1K
3	Medicine	9	9	318
4	Education	1	1	14
5	Anatomy	1	1	22

Nico Karssemeijer

Publications

Citations

H-Index

Page 1

	Year	Citations
Computer-Aided Detection of Prostate Cancer in MRI Geert Litjens, Oscar A. Debats, Jelle O. Barentsz, IEEE Transactions on Medical Imaging UrologyImage AnalysisComputer VisionMedical ImagingVoxel Feature Extraction	2014	450
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Scientific Reports Convolutional Neural NetworkEngineeringImage ClassificationImage AnalysisComputational Imaging	2017	234
Automatic computer-aided detection of prostate cancer based on multiparametric magnetic resonance image analysis Pieter Vos, Jelle O. Barentsz, Nico Karssemeijer, Physics in Medicine and Biology Cad MethodEngineeringMachine LearningDigital PathologyDiagnostic Imaging	2012	124
A novel iterative method for lesion delineation and volumetric quantification with FDG PET Jorn A. van Dalen, Aswin L. Hoffmann, Volker Dicken, Nuclear Medicine Communications	2007	113
Artificial Intelligence–Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI Albert Gubern‐Mérida, Suzan Vreemann, Peter Bult, Investigative Radiology	2019	113
Fully automated detection of breast cancer in screening MRI using convolutional neural networks Mehmet Ufuk Dalmış, Suzan Vreemann, Thijs Kooi, Journal of Medical Imaging	2018	80
Automated detection of white matter hyperintensities of all sizes in cerebral small vessel disease Mohsen Ghafoorian, Nico Karssemeijer, Inge W.M. van Uden, Medical Physics	2016	79
Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Convolutional Neural NetworkEngineeringDiagnostic ImagingUniform PatchesImage Analysis	2016	69
A Pattern Recognition Approach to Zonal Segmentation of the Prostate on MRI Geert Litjens, Oscar A. Debats, Wendy van de Ven, Lecture notes in computer science UrologyImage AnalysisEngineeringMedical ImagingPattern Recognition	2012	66
Automatic breast density segmentation: an integration of different approaches Michiel Kallenberg, Mariëtte Lokate, Carla H. van Gils, Physics in Medicine and Biology EngineeringMachine LearningDigital PathologyImage AnalysisData Science	2011	49

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