Prof. Ender Konukoglu is an Associate Professor at the Department of Information Technology and Electrical Engineering at ETH Zürich, leading the Computer Vision Laboratory. He holds a PhD from the University of Nice Sophia Antipolis (2009), following B.S. and M.S. degrees from Bogazici University. His postdoctoral work included roles at Microsoft Research (2009–2012) and Harvard Medical School (2012–2016), where he contributed to computational neuroimaging and radiology. His research focuses on biomedical image computing, with emphasis on medical image segmentation, computer vision in surgery, and deep learning applications in healthcare. Key contributions include real-time anatomical guidance systems, multimodal image analysis, and predictive models for clinical outcomes. His work spans 3D reconstruction, radiomics, and domain adaptation in medical imaging. His research interests include leveraging computer vision and deep learning for medical diagnostics, surgical assistance, and quantitative imaging. Notable projects include the AENEAS initiative for endoscopic neurosurgery guidance and the development of benchmark datasets for cross-modality harmonization. He has published extensively on topics like camouflaged object segmentation, Gaussian splatting for scene understanding, and predictive analytics for cardiovascular procedures. Prof. Konukoglu’s awards and recognitions are not explicitly listed in the provided text. His team’s work on synthetic CT generation for radiotherapy and the Tera-MIND brain simulation project highlights his interdisciplinary impact. Ongoing efforts focus on robust medical image segmentation, domain generalization, and real-time surgical navigation systems.
