H.T. (Herbert) Kruitbosch, MSc

Wetenschappelijk programmeur

Centrum voor Informatie Technologie

Telefoon:

050 36 36875

E-mail:

h.t.kruitbosch rug.nl

ORCID Research Portal

Publicaties

Transfer Learning from Synthetic Data for Cell Segmentation and Tracking

Milias Argeitis, A. & Kruitbosch, H., apr.-2024, Frontiers in Bioimage Informatics Methodology. Zhou, J., Peng, H. & Rapsomaniki, M. (uitgave). World Scientific Publishing, (Series on Language Processing, Pattern Recognition, and Intelligent Systems; vol. 8).

Onderzoeksoutput › › peer review

A convolutional neural network for segmentation of yeast cells without manual training annotations

Kruitbosch, H., Mzayek, Y., Omlor, S., Guerra, P. & Milias-Argeitis, A., 1-mrt.-2022, In: Bioinformatics (Oxford, England). 38, 5, blz. 1427-1433 7 blz., btab835.

Onderzoeksoutput › › peer review

Association between central sensitization and gait in chronic low back pain: Insights from a machine learning approach

Zheng, X., Reneman, M., Ansuategui Echeita, J., Schiphorst Preuper, R., Kruitbosch, H., Otten, B. & Lamoth, C., 1-mei-2022, In: Computers in biology and medicine. 144, 10 blz., 105329.

Onderzoeksoutput › › peer review

Structural similarity analysis of midfacial fractures: a feasibility study

Rozema, R., Kruitbosch, H. T., van Minnen, B., Dorgelo, B., Kraeima, J. & van Ooijen, P. M. A., feb.-2022, In: Quantitative imaging in medicine and surgery. 12, 2, blz. 1571-1578 8 blz.

Onderzoeksoutput › › peer review

CLASSIFICATION OF PATIENTS WITH CHRONIC LOW BACK PAIN AND HIGH OR LOW CENTRAL SENSITIZATION BY GAIT OUTCOMES USING MACHINE LEARNING METHODS

Zheng, X., Reneman, M., Ansuategui Echeita, J., Kruitbosch, H., Otten, B. & Lamoth, C., 2021, (Accepted/In press). 1 blz.

Onderzoeksoutput ›

Exploring Effects of Central Sensitization on Gait in Chronic Low Back Pain by Machine Learning

Zheng, X., Reneman, M., Ansuategui Echeita, J., Schiphorst Preuper, R., Kruitbosch, H., Otten, B. & Lamoth, C., 29-okt.-2021, (Accepted/In press).

Onderzoeksoutput ›

Iterative reconstruction and deep learning algorithms for enabling low-dose computed tomography in midfacial trauma

Rozema, R., Kruitbosch, H. T., van Minnen, B., Dorgelo, B., Kraeima, J. & van Ooijen, P. M. A., aug.-2021, In: Oral surgery oral medicine oral pathology oral radiology. 132, 2, blz. 247-254 8 blz.

Onderzoeksoutput › › peer review

Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction

Wenniger, G. M. D. B., Dongen, T. V., Aedmaa, E., Kruitbosch, H. T., Valentijn, E. A. & Schomaker, L., 30-apr.-2020, Proceedings of the First Workshop on Scholarly Document Processing. Association for Computational Linguistics (ACL), blz. 158-167 (Proceedings of the First Workshop on Scholarly Document Processing. Association for Computational Linguistics.).

Onderzoeksoutput › › peer review

Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction

Maillette de Buy Wenniger, G., van Dongen, T., Aedmaa, E., Teun Kruitbosch, H., Valentijn, E. A. & Schomaker, L., 20-apr.-2020, (Submitted) arXiv.

Onderzoeksoutput: Voordruk ›

Active Learning for Classifying Political Tweets

Tjong Kim Sang, E., Esteve Del Valle, M., Kruitbosch, H. & Broersma, M., mrt.-2018, In: International Science and General Applications. 1, March , blz. 60-67 8 blz.

Onderzoeksoutput › › peer review

Alle (12) publicaties

Pers/media

Onderzoek naar de celcyclus van gistcellen naar hoger plan door Artificial Intelligence

Milias Argeitis, A. & Kruitbosch, H.

07/12/2020

Pers / media: Activiteiten met een maatschappelijk belang ›

Alle (1) pers/media

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