Federico Bolelli is a Tenure-Track Assistant Professor at the University of Modena and Reggio Emilia, Italy, where he is part of the AImagelab research group.
He earned his B.Sc. and M.Sc. degrees (cum laude) in Computer Engineering from the Department of Engineering "Enzo Ferrari" and completed his Ph.D. in ICT through the International Doctorate School at the same university.
Federico's research interests span image processing, algorithms and optimization, and medical imaging. His contributions include the optimization of binary image processing algorithms, introducing innovative approaches that deliver significant performance improvements on both CPU and GPU architectures. His work also encompasses advanced techniques for skin lesion segmentation and classification to aid melanoma detection, segmentation of maxillofacial structures in CBCT scans, and whole-slide image analysis leveraging various levels of supervision.
From 2019 to 2022, Federico contributed to the DeepHealth H2020 European Project, where he co-ed the development of the European Computer Vision Library (ECVL). Since March 2022, he has been actively involved in the H2020 DECIDER European Project.
Federico currently chairs the IAPR Technical Committee (TC22) on Reproducible Research, underscoring his commitment to fostering transparency and reproducibility in scientific research.
He is also a proud member of IEEE (95638948), MICCAI (72293989), and CVPL (678), the Italian Association for Computer Vision, Pattern Recognition, and Machine Learning, and serves as an Associate Editor for the Simulation & Game journal.
27/02/2025 - Two poster presentations @ WACVI will be presenting two papers at WACV 2025 in Tucson, Arizona, from February 28 to March 4! |
27/02/2025 - Paper accepted for publication @ CVPRThrilled to announce that our paper "Segmenting Maxillofacial Structures in CBCT Volume" has been accepted for publication @ the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025 (CVPR) |
21/02/2025 - Paper accepted for publication @ EAAIOur paper "State-of-the-art Review and Benchmarking of Barcode Localization Methods" has been accepted for publication @ Engineering Applications of Artificial Intelligence (EAAI). |
02/01/2025 - Paper accepted for publication @ IEEE ISBIOur paper "Accurate 3D Medical Image Segmentation with Mambas" has been accepted for publication @ 2025 IEEE International Symposium on Biomedical Imaging (ISBI). |
20/12/2024 - Paper accepted for publication @ IEEE TMII am pleased to announce that our challenge paper "Segmenting the Inferior Alveolar Canal in CBCTs Volumes: the ToothFairy Challenge" has been accepted for publication @ IEEE Transactions on Medical Imaging (TMI). |
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