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Recente publicaties

  1. Weighted t-Distributed Stochastic Neighbor Embedding for Projection-B…

    Nápoles, G., Concepción, L., Özgöde Yigin, B., Saygili, G., Vanhoof, K., & Bello, R. (2024). Weighted t-Distributed Stochastic Neighbor Embedding for Projection-Based Clustering. In Y. Hernández Heredia, V. Milián Núñez, & J. Ruiz Shulcloper (Eds.), Progress in Artificial Intelligence and Pattern Recognition - 8th International Congress on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, Proceedings (pp. 131-142). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14335 LNCS).
  2. Deep Learning Classifiers to Reduce False Positives in Osteolytic Les…

    Jadikar, M., van Leeuwen, M., van Oudheusden, T., Oei, S., Steunenberg, B., Kint, R., Ranschaert, E., Bosma, G., Saygili, G., & Ong, S. (2023). Deep Learning Classifiers to Reduce False Positives in Osteolytic Lesion Segmentation Results from Low-dose CT Scans of Multiple Myeloma. Paper presented at 35rd Benelux Conference on Artificial Intelligence and the 32th Belgian Dutch Conference on Machine Learning, Delft , Netherlands. https://bnaic2023.tudelft.nl/static/media/BNAICBENELEARN_2023_paper_65.7e5de9cf01a9bf3f4bc8.pdf
  3. Effect of distance measures on confidences of t-SNE embeddings and it…

    Özgöde Yigin, B., & Saygili, G. (2023). Effect of distance measures on confidences of t-SNE embeddings and its implications on clustering for scRNA-seq data. Scientific Reports, 13, Article 6567.
  4. Continual learning approaches for single cell RNA sequencing data

    Saygili, G., & Özgöde Yigin, B. (2023). Continual learning approaches for single cell RNA sequencing data. Scientific Reports, 13, Article 15286.
  5. A deep learning-based approach to detect and segment osteolytic bone …

    Ong, S., van Leeuwen, M., Saygili, G., Hoff , W., Heres, M., van Oudheusden, T., Steunenberg, B., Kint, R., Bosma, G., & Ranschaert, E. (2022). A deep learning-based approach to detect and segment osteolytic bone lesions in whole-body, low-dose CT imaging of multiple myeloma patients. Poster session presented at EuSoMII Annual Meeting 2022 ‘Your portal to AI’, Valencia, Spain.

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