Research output per year
Research output per year
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Dive into the research topics where Ine Dirks 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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Development and Validation of a Predictive Model for Metastatic Melanoma Patients Treated with Pembrolizumab Based on Automated Analysis of Whole-Body [18F]FDG PET/CT Imaging and Clinical Features
Dirks, I., Keyaerts, M., Dirven, I., Neyns, B. & Vandemeulebroucke, J., 13 Aug 2023, In: Cancers. 15, 16, 4083.Research output: Contribution to journal › Article › peer-review
Open Access -
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) -
Computer-aided detection and segmentation of malignant melanoma lesions on whole-body 18F-FDG PET/CT using an interpretable deep learning approach
Dirks, I., Keyaerts, M., Neyns, B. & Vandemeulebroucke, J., Jun 2022, In: Computer Methods and Programs in Biomedicine. 221, 106902.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)13 Downloads (Pure) -
Automated threshold selection on whole-body 18F-FDG PET/CT for assessing tumor metabolic response
Dirks, I., Keyaerts, M., Neyns, B. & Vandemeulebroucke, J., 10 Mar 2020, Proceedings SPIE Medical Imaging 2020: Image Processing. Isgum, I. & Landman, B. A. (eds.). Vol. 11313. 7 p. 113131R. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11313).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research
1 Citation (Scopus) -
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)
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Automated threshold selection on whole-body 18F-FDG PET/CT for assessing tumor metabolic response
Ine Dirks (Speaker)
20 Feb 2020Activity: Talk or presentation › Talk or presentation at a conference
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UCL MedICSS Summer School 2019
Ine Dirks (Participant)
1 Jul 2019 → 5 Jul 2019Activity: Participating in or organising an event › Participation in workshop, seminar
Thesis
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Comparative analysis and design of a lightweight, concrete-composite floor system
Author: Dirks, I. & Tysmans, T., 2015Supervisor: Tysmans, T. (Promotor)
Student thesis: Master's Thesis
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Computer-aided diagnosis of ischemia and infarction for the treatment of acute ischemic stroke
Author: Dirks, I., Jun 2018Supervisor: Vandemeulebroucke, J. (Promotor)
Student thesis: Master's Thesis