Dr. Kivanc Kose is a Senior Research Scientist at the Dermatology Service at Memorial Sloan Kettering Cancer Center (MSKCC). He received his Ph.D. in Electrical and Electronics Engineering from Bilkent University in Ankara, Turkey. At MSKCC, he is a member of both the Optical Imaging and the Dermatology Informatics groups, where he brings his expertise in computer vision and machine learning to bear on a wide range of research projects.
Dr. Kose's current research focuses on developing machine learning and computer vision tools for biomedical imaging modalities, such as wide-field (fluorescent) imaging, dermoscopy, and confocal microscopy, for detecting, monitoring, and managing skin, oral, and head-neck cancers. He has developed quantitative (semi)-automated tools for image acquisition, processing, segmentation, and classification, which aim to facilitate the adoption of new imaging technologies among a wider cohort of clinicians and increase the interpretability of the images. Through his research, Dr. Kose's aims to significantly improve the early detection and treatment of cancer through novel imaging and AI-assisted interpretation methods.
Dr. Kose is also an active member of the scientific community. He serves as an associate editor at Signal Image and Video Processing Journal (SIVP) and is a regular reviewer for several journals and conferences in signal processing, computer vision, machine learning, and biomedical imaging.Follow @kkoseug