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K.G. van Leeuwen
K.G. van Leeuwen
PhD candidate, Artificial Intelligence in Radiology, Radboud university medical center
Verified email at radboudumc.nl - Homepage
Title
Cited by
Cited by
Year
Deep learning for chest X-ray analysis: A survey
E Çallı, E Sogancioglu, B van Ginneken, KG van Leeuwen, K Murphy
Medical Image Analysis 72, 102125, 2021
3012021
Artificial intelligence in radiology: 100 commercially available products and their scientific evidence
KG van Leeuwen, S Schalekamp, MJCM Rutten, B van Ginneken, ...
European Radiology 31 (6), 3797-3804, 2021
2252021
How does artificial intelligence in radiology improve efficiency and health outcomes?
KG van Leeuwen, M de Rooij, S Schalekamp, B van Ginneken, ...
Pediatric Radiology 52 (11), 2087-2093, 2022
1052022
Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence
N Lessmann, CI Sánchez, L Beenen, LH Boulogne, M Brink, E Calli, ...
Radiology 298 (1), E18-E28, 2021
982021
Brain age from the electroencephalogram of sleep
H Sun, L Paixao, JT Oliva, B Goparaju, DZ Carvalho, KG van Leeuwen, ...
Neurobiology of aging 74, 112-120, 2019
912019
Automated assessment of CO-RADS and chest CT severity scores in patients with suspected COVID-19 using artificial intelligence
N Lessmann, CI Sánchez, L Beenen, LH Boulogne, M Brink, E Calli, ...
Radiology, 2020
682020
Artificial Intelligence Based Algorithms for Prostate Cancer Classification and Detection on Magnetic Resonance Imaging: A Narrative Review
JJ Twilt, KG van Leeuwen, HJ Huisman, JJ Fütterer, M de Rooij
Diagnostics 11 (6), 959, 2021
602021
Detecting abnormal electroencephalograms using deep convolutional networks
KG Van Leeuwen, H Sun, M Tabaeizadeh, AF Struck, M Van Putten, ...
Clinical Neurophysiology 130 (1), 77-84, 2019
532019
Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective
S Schalekamp, WM Klein, KG van Leeuwen
Pediatric Radiology 52 (11), 2120-2130, 2022
342022
Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment
KG van Leeuwen, FJA Meijer, S Schalekamp, MJCM Rutten, EJ van Dijk, ...
Insights into Imaging 12, 1-9, 2021
242021
Enhancing cardiovascular artificial intelligence (AI) research in the Netherlands: CVON-AI consortium
JW Benjamins, K van Leeuwen, L Hofstra, M Rienstra, Y Appelman, ...
Netherlands Heart Journal 27 (9), 414-425, 2019
102019
CNN-Based Phoneme Classifier from Vocal Tract MRI Learns Embedding Consistent with Articulatory Topology
KG van Leeuwen, P Bos, S Trebeschi, MJA van Alphen, L Voskuilen, ...
Proc. Interspeech 2019, 909-913, 2019
92019
Clinical use of artificial intelligence products for radiology in the Netherlands between 2020 and 2022
KG van Leeuwen, M de Rooij, S Schalekamp, B van Ginneken, ...
European Radiology, 1-7, 2023
52023
Comparison of commercial AI software performance for radiograph lung nodule detection and bone age prediction
KG van Leeuwen, S Schalekamp, MJCM Rutten, M Huisman, ...
Radiology 310 (1), e230981, 2024
32024
Duration and accuracy of automated stroke CT workflow with AI-supported intracranial large vessel occlusion detection
SE Temmen, MJ Becks, S Schalekamp, KG van Leeuwen, FJA Meijer
Scientific Reports 13 (1), 12551, 2023
22023
AI-support for the detection of intracranial large vessel occlusions: One-year prospective evaluation
KG van Leeuwen, MJ Becks, D Grob, F de Lange, JHE Rutten, ...
Heliyon 9 (8), 2023
2023
Validation and implementation of commercial artificial intelligence software for radiology
KG van Leeuwen
2023
A Lightweight ConvNet for 4D Multi-Structure Segmentation of Cardiac Cine-MRI
KG van Leeuwen, JW Benjamins, I Everts, T Hendriks, W Nijhof, ...
2018
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