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Over ons Praktische zaken Waar vindt u ons A. Haja, MSc

A. Haja, MSc

PhD student

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Faculteit Science and Engineering

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a.haja rug.nl

ORCID Research Portal

Publicaties

Automated Deep Learning Models for the Analysis of Biological Microscopy Images

Haja, A., 2024, [Groningen]: University of Groningen. 169 blz.

Onderzoeksoutput

OrganelX web server for sub-peroxisomal and sub-mitochondrial protein localization and peroxisomal target signal detection

Anteghini, M., Haja, A., Martins Dos Santos, V. A. P., Schomaker, L. & Saccenti, E., 2023, In: Computational and Structural Biotechnology Journal. 21, blz. 128-133 6 blz.

Onderzoeksoutput › › peer review

Segmentation Of Organoid Cultures Images Using Diffusion Networks with Triplet Loss

Haja, A., Zhelev, I. & Schomaker, L., 9-nov.-2023, Proceedings of 2023 10th International Conference on Biomedical and Bioinformatics Engineering (ICBBE 2023). ACM Press, blz. 1-10 10 blz.

Onderzoeksoutput › › peer review

Self-Supervised Versus Supervised Training for Segmentation of Organoid Images

Haja, A., Brouwer, E. & Schomaker, L., 19-nov.-2023, (Submitted) arXiv, 16 blz.

Onderzoeksoutput: Voordruk ›

Towards automatization of organoid analysis: A deep learning approach to localize and quantify organoid images

Haja, A., Horcas-Nieto, J. M., Bakker, B. M. & Schomaker, L., jan.-2023, In: Computer Methods and Programs in Biomedicine Update. 3, 5 blz., 100101.

Onderzoeksoutput › › peer review

A Comparison of Different U-Net Models for Segmentation of Overlapping Organoids

Haja, A., Radu, S. & Schomaker, L., 10-nov.-2022, ICBBE 2022: Proceeding of 2022 9th International Conference on Biomedical and Bioinformatics Engineering. Association for Computing Machinery, blz. 1-10 10 blz. (ACM International Conference Proceeding Series).

Onderzoeksoutput › › peer review

A Fully Automated End-to-End Process for Fluorescence Microscopy Images of Yeast Cells: From Segmentation to Detection and Classification

Haja, A. & Schomaker, L. R. B., 15-aug.-2021, Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021): Medical Imaging and Computer-Aided Diagnosis. Su, R., Zhang, Y-D. & Liu, H. (redactie). Singapore: Springer, blz. 37-46 10 blz. (Lecture Notes in Electrical Engineering; vol. 784).

Onderzoeksoutput › › peer review

Alle (7) publicaties

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