About
Neslihan Bayramoglu is a Senior Research Fellow at the Research Unit of Health Sciences and Technology (HST), Faculty of Medicine, University of Oulu, Finland. She was awarded the title of Docent in Medical Imaging in 2022.
Her research spans artificial intelligence, machine learning, and computer vision, with a focus on medical imaging and musculoskeletal diseases. Key areas include deep learning for histopathology image analysis, computer-assisted diagnosis, image processing, shape analysis, segmentation, classification, and 3D image retrieval. She has pioneered early applications of deep learning in breast cancer histopathology and is currently advancing machine learning approaches for osteoarthritis (OA) analysis using imaging and clinical data.
Her recent publications emphasize deep learning techniques for OA progression prediction, radiographic segmentation, and lightweight CNN architectures for diagnostic efficiency. She has contributed to transfer learning in histopathology and GAN-based virtual tissue staining.
Scientific awards include the Docent title in Medical Imaging (2022). She teaches graduate-level machine learning courses and supervises M.Sc. and doctoral students. Her work aligns with the Diagnostics of Osteoarthritis (DIOS) research group and involves collaboration on musculoskeletal health projects.
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