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Luuk H. Boulogne
Luuk H. Boulogne
PhD candidate, Diagnostic Image Analysis Group, Radboud University Medical Center
Verified email at radboudumc.nl - Homepage
Title
Cited by
Cited by
Year
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
170*2021
Performance of neural networks for localizing moving objects with an artificial lateral line
LH Boulogne, BJ Wolf, MA Wiering, SM van Netten
Bioinspiration & biomimetics 12 (5), 056009, 2017
462017
Automated COVID-19 grading with convolutional neural networks in computed tomography scans: A systematic comparison
C de Vente, LH Boulogne, KV Venkadesh, C Sital, N Lessmann, C Jacobs, ...
IEEE transactions on artificial intelligence 3 (2), 129-138, 2021
24*2021
Automated estimation of total lung volume using chest radiographs and deep learning
E Sogancioglu, K Murphy, E Th. Scholten, LH Boulogne, M Prokop, ...
Medical Physics 49 (7), 4466-4477, 2022
112022
Predicting chaotic time series using machine learning techniques
H Maathuis, L Boulogne, M Wiering, A Sterk
Preproceedings of the 29th Benelux Conference on Artificial Intelligence …, 2017
82017
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data
LH Boulogne, J Lorenz, D Kienzle, R Schön, K Ludwig, R Lienhart, ...
Medical Image Analysis 97, 103230, 2024
12024
Estimating lung function from computed tomography at the patient and lobe level using machine learning
LH Boulogne, JP Charbonnier, C Jacobs, EHFM van der Heijden, ...
Medical Physics 51 (4), 2834-2845, 2024
2024
Extra Domain Data Generation with Generative Adversarial Nets
L Boulogne, K Dijkstra, M Wiering
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1403-1410, 2018
2018
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