Research output per year
Research output per year
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Dive into the research topics where Panagiotis Gonidakis is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
Boulogne, L. H., Lorenz, J., Kienzle, D., Schon, R., Ludwig, K., Lienhart, R., Jegou, S., Li, G., Chen, C., Wang, Q., Shi, D., Maniparambil, M., Muller, D., Mertes, S., Schroter, N., Hellmann, F., Elia, M., Dirks, I., Bossa, M. N., Berenguer, A. D. & 18 others, , 18 Jun 2023, In: ArXiv.org. 2023, 06, p. 1-24 24 p., 2306.10484.Research output: Contribution to journal › Article
File3 Downloads (Pure) -
Artificially augmenting data or adding more samples? A study on a 3D CNN for lung nodule classification
Gonidakis, P., Jansen, B. & Vandemeulebroucke, J., Mar 2020, SPIE Medical Imaging 2020: Computer-Aided Diagnosis. Hahn, H. K. & Mazurowski, M. A. (eds.). Vol. 11314. p. 113142F1-113142F6 6 p. 113142F. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11314).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research
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Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
Tilborghs, S., Dirks, I., Fidon, L., Willems, S., Eelbode, T., Bertels, J., Ilsen, B., Brys, A., Dubbeldam, A., Buls, N., Gonidakis, P., Sánchez, S. A., Snoeckx, A., Parizel, P. M., Mey, J. D., Vandermeulen, D., Vercauteren, T., Robben, D., Smeets, D., Maes, F. & 2 others, , 29 Jul 2020, 21 p. (ArXiv.org).Research output: Working paper › Preprint
File28 Downloads (Pure) -
Evaluating several ways to combine handcrafted features-based system with a deep learning system using the LUNA16 Challenge framework
Sóñora Mengana, A., Gonidakis, P., Jansen, B., Garcia Naranjo, J. C. & Vandemeulebroucke, J., Mar 2020, SPIE Medical Imaging 2020. Hahn, H. K. & Mazurowski, M. A. (eds.). Vol. 11314. p. 113143T1-7 7 p. (MEDICAL IMAGING 2020: COMPUTER-AIDED DIAGNOSIS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research
3 Citations (Scopus) -
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
Berenguer, A. D., Sahli, H., Joukovsky, B., Kvasnytsia, M., Dirks, I., Alioscha-Perez, M., Deligiannis, N., Gonidakis, P., Sánchez, S. A., Brahimetaj, R., Papavasileiou, E., Chana, J. C-W., Li, F., Song, S., Yang, Y., Tilborghs, S., Willems, S., Eelbode, T., Bertels, J., Vandermeulen, D. & 20 others, , 2 Dec 2020, In: ArXiv.org. 2020, 20 p.Research output: Contribution to journal › Article
File23 Downloads (Pure)
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19th National Day on Biomedical Engineering
Panagiotis Gonidakis (Participant)
27 Nov 2020Activity: Participating in or organising an event › Participation in conference
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SPIE Medical Imaging 2020
Panagiotis Gonidakis (Participant)
15 Feb 2020 → 20 Feb 2020Activity: Participating in or organising an event › Participation in conference
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Best Summer school 2019
Panagiotis Gonidakis (Advisor)
8 Jul 2019 → 12 Jul 2019Activity: Participating in or organising an event › Participating in or organizing a school event
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18th National Day on Biomedical Engineering
Panagiotis Gonidakis (Chair)
2019Activity: Participating in or organising an event › Participation in conference
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Medical Imaging Summer School
Panagiotis Gonidakis (Chair)
30 Jul 2018 → 3 Aug 2018Activity: Participating in or organising an event › Participating in or organizing a school event