Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
External positions
Doctoral Candidate, Elisabeth-TweeSteden Ziekenhuis
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Collaborations and top research areas from the last five years
Projects
- 2 Finished
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TZO ETZ PJ 10070012010006: Een gepersonaliseerd zorgpad voor iedere hersentumorpatiënt
van der Hagen, D. (Project communication officer), de With, P. H. N. (Project Manager), Langenhuizen, P. P. J. H. (Project member) & Cornelissen, S. (Project member)
24/03/20 → 30/12/24
Project: Third tier
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17238 - TTW SMART TURKEYS VCA - SMART systems for automated phenotyping of livestock: preventing cannibalism in TURKEYS
van der Hagen, D. (Project communication officer), Guo, Q. (Project member), Cornelissen, S. (Project member), Langenhuizen, P. P. J. H. (Project Manager) & de With, P. H. N. (Project member)
1/12/19 → 31/12/25
Project: Second tier
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Computer‐aided prediction of growth in vestibular schwannomas based on both structural and dynamic contrast‐enhanced MR imaging
Cornelissen, S. (Corresponding author-nrf), Schouten, S. M., Lewis, D., Li, K.-L., Zhu, X., Maas, M. C., Pegge, S., Jansen, T. T. G., Mulder, J. J. S., Langenhuizen, P. P. J. H., King, A. T., Verheul, J., Kunst, H. P. M. & de With, P. H. N., Jan 2026, In: Medical Physics. 53, 1, e70224.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023
Wijethilake, N., Dorent, R., Ivory, M., Kujawa, A., Cornelissen, S., Langenhuizen, P. P. J. H., Okasha, M., Oviedova, A., Dong, H., Kang, B., Sallé, G., Han, L., Zhao, Z., Liu, H., Yang, T., Hardan, S., Alasmawi, H., Sanjeev, S., Zhuang, Y. & Kondo, S. & 19 others, , Jun 2025, (Submitted) In: Medical Image Analysis. XXResearch output: Contribution to journal › Article › Academic › peer-review
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Dynamic contrast-enhanced and diffusion-weighted MR imaging for predicting tumor growth of sporadic vestibular schwannomas: a prospective study
Schouten, S. M. (Corresponding author), Lewis, D., Cornelissen, S., Li, K.-L., Zhu, X., Maas, M., Pegge, S., Jansen, T. T. G., Mulder, J. J. S., Waterval, J., Postma, A. A., Pathmanaban, O., Coope, D., Derks, J., Langenhuizen, P. P. J. H., King, A., Verheul, H. B. & Kunst, H. P. M., Apr 2025, In: Neuro-Oncology. 27, 4, p. 1116–1127 12 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Citations (Scopus)10 Downloads (Pure) -
MedShapeNet: a large-scale dataset of 3D medical shapes for computer vision
MedShapeNet, +25 authors, Cornelissen, S., Langenhuizen, P. & Egger, J. (Corresponding author), 1 Feb 2025, In: Biomedizinische Technik. 70, 1, p. 71-90 20 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile10 Citations (Scopus)85 Downloads (Pure) -
Towards clinical implementation of automated segmentation of vestibular schwannomas: a reliability study comparing AI and human performance
Cornelissen, S. (Corresponding author-nrf), Schouten, S. M., Langenhuizen, P. P. J. H., Kunst, H. P. M., Verheul, J. B. & de With, P. H. N., 4 Apr 2025, In: Neuroradiology. 67, 4, p. 1049-1059 11 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Citations (Scopus)11 Downloads (Pure)
Datasets
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Cross-Modality Domain Adaptation Challenge 2022 (crossMoDA)
Dorent, R. (Creator), Kujawa, A. (Creator), Cornelissen, S. (Creator), Langenhuizen, P. (Creator), Shapey, J. (Creator) & Vercauteren, T. (Creator), Zenodo, 1 May 2022
Dataset
Thesis
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Evaluating Different Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's Esophagus
Cornelissen, S. (Author), van der Putten, J. A. (Supervisor 1) & van der Sommen, F. (Supervisor 1), 11 Nov 2020Student thesis: Master
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