Research output per year
Research output per year
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Dive into the research topics where Görkem Saygili 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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Weighted t-Distributed Stochastic Neighbor Embedding for Projection-Based Clustering
Nápoles, G., Concepción, L., Özgöde Yigin, B., Saygili, G., Vanhoof, K. & Bello, R., 2024, Progress in Artificial Intelligence and Pattern Recognition - 8th International Congress on Artificial Intelligence and Pattern Recognition, IWAIPR 2023, Proceedings. Hernández Heredia, Y., Milián Núñez, V. & Ruiz Shulcloper, J. (eds.). p. 131-142 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14335 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access -
Continual learning approaches for single cell RNA sequencing data
Saygili, G. & Özgöde Yigin, B., 15 Sept 2023, In: Scientific Reports. 13, 10 p., 15286.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
Deep Learning Classifiers to Reduce False Positives in Osteolytic Lesion Segmentation Results from Low-dose CT Scans of Multiple Myeloma
Jadikar, M., van Leeuwen, M., van Oudheusden, T., Oei, S., Steunenberg, B., Kint, R., Ranschaert, E., Bosma, G., Saygili, G. & Ong, S., 8 Nov 2023. 16 p.Research output: Contribution to conference › Paper › Scientific › peer-review
Open Access -
Effect of distance measures on confidences of t-SNE embeddings and its implications on clustering for scRNA-seq data
Özgöde Yigin, B. & Saygili, G., 21 Apr 2023, In: Scientific Reports. 13, 10 p., 6567.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access3 Citations (Scopus) -
A deep learning-based approach to detect and segment osteolytic bone lesions in whole-body, low-dose CT imaging of multiple myeloma patients
Ong, S., van Leeuwen, M., Saygili, G., Hoff , W., Heres, M., van Oudheusden, T., Steunenberg, B., Kint, R., Bosma, G. & Ranschaert, E., 15 Oct 2022.Research output: Contribution to conference › Poster › Scientific › peer-review
Projects
- 1 Active
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AI Deployment Journey in Healthcare: Governance, Design, and Adoption
Ou, C. (Principal Investigator), Jacobs, M. (CoPI), Heising, L. (Co-Investigator), van Oijen, A. (Co-Investigator), Ong, S. (CoPI), Šafář, M. (CoPI), Saygili, G. (Co-Investigator), Weggelaar, A. M. (CoPI), de Bont, A. (CoPI), Ossewaarde, R. (Co-Investigator), Wang, G. (Co-Investigator), Zegveld, C. (Co-Investigator), Meyers, G. (Co-Investigator), Vuorre, M. (Co-Investigator), Kia, S. M. (Co-Investigator) & Laitenberger, U. (Co-Investigator)
1/01/24 → 1/01/28
Project: Research project