| 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 | 166* | 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 | 46 | 2017 |
| 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 | 21* | 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 | 10 | 2022 |
| 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 | 8 | 2017 |
| 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, 2024 | | 2024 |
| The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data LH Boulogne, J Lorenz, D Kienzle, R Schon, K Ludwig, R Lienhart, ... arXiv preprint arXiv:2306.10484, 2023 | | 2023 |
| The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data (preprint) LH Boulogne, J Lorenz, D Kienzle, R Schon, K Ludwig, R Lienhart, ... | | 2023 |
| 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 |
| an.(2021). utomated assessment of COVID-19 reporting and data s stem and chest CT se erit scores in patients suspected of ha ing COVID-19 using artificial intelligence.(1) N Lessmann, CI Sanchez, L Beenen, LH Boulogne, M Brink, E Calli, ... E18-E28. doi 10, 0 | | |
