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-led 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.
13/05/2025 - Early Accepted Paper @ MICCAI 2025Thrilledt to annouce that our paper "IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities" is among the top 9% of the MICCAI2025 submissions and has been early accepted for publication. |
10/05/2025 - Outstanding Reviewer @ CVPR 2025Honored to be acknowledged as one of CVPR2025's Outstanding Reviewers! |
01/05/2025 - Paper accepted for publication @ ICML 2025I am exited to annouce that our paper "Update Your Transformer to the Latest Release: Re-Basin of Task Vectors" has been accepted for publication @ International Conference on Machine Learning (ICML 2025). |
29/04/2025 - Paper accepted for publication @ IEEE AccessOur paper "Taming Mambas for 3D Medical Image Segmentation" has been accepted for publication @ IEEE Access. |
14/03/2025 - Italian Habilitation (ASN - Abilitazione Scientifica Nazionale) obtainedHappy to share that I've obtained the Italian Habilitation (ASN - Abilitazione Scientifica Nazionale) as Associate Professor (Fascia II) in Information Processing Systems (09/H1). |
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