Federico Bolelli is a Tenure Track Assistant Professor at the University of Modena and Reggio Emilia, Italy, where he works within the AImagelab research group.
From the same University, he received the B.Sc. and M.Sc. degrees cum laude in Computer Engineering at the Department of Engineering "Enzo Ferrari" and the Ph.D. degree in ICT from the International Doctorate School.
His research interests include image processing, algorithms and optimization, and medical imaging. Among his research topics, he has worked on the optimization of binary image processing algorithms, modeling innovative approaches that significantly improve the performance on both CPU and GPU architectures. He has also worked on skin lesion segmentation and classification for melanoma skin cancer detection, on the segmentation of the Inferior Alveolar Canal in CBCTs, and on the analysis of Whole-Slide Images with different kinds of supervision.
From 2019 to 2022, he worked at the DeepHealth H2020 European Project where, among others, he was responsible for the development of the European Computer Vision Library (ECVL).
In March 2022 he joined the H2020 DECIDER European Project.
He is a member of IEEE and CVPL, the Italian Association for Computer Vision, Pattern Recognition and Machine Learning.
Federico Bolelli is currently working as an Associate Editor for the Simulation & Game Journal.
07/08/2024 - 4 Papers Accepted for Publication @ ICPR 2024.Papers "BarBeR: A Barcode Benchmarking Repository", "Location Matters: Harnessing Spatial Information to Enhance the Segmentation of the Inferior Alveolar Canal in CBCTs", "Investigating the ABCDE Rule in Convolutional Neural Networks", and "Identifying Impurities in Liquids of Pharmaceutical Vials" have been accepted for publication @ ICPR 2024, Kolkata, India. |
18/07/2024 - Survey paper accepted for publication @ IEEE TPDSOur paper "A State-of-the-Art Review with Code about Connected Components Labeling on GPUs" has been accepted for publication @ IEEE Transaction on Parallel and Distributed Systems (TPDS). |
10/07/2024 - Winner of the FARD 2024For the third consecutive year, I received a grant under FAR 2024 (University Fund for Research - Fondo di Ateneo per la Ricerca), call for CURIOSITY DRIVEN projects. The grant will be mainly devoted to the study and development of artificial intelligence algorithms for the segmentation of Maxillofacial structures. Moreover, within the AImageLab laboratory, I've been also founded for the call "POTENZIAMENTO INFRASTRUTTURE" under the same grant. Total amount funded 25,350.00 € |
18/05/2024 - Paper accepted for publication @ IEEE AccessOur paper "Enhancing Patch-Based Learning for the Segmentation of the Mandibular Canal" has been accepted for publication @ IEEE Access. |
08/03/2024 - Second edition of the ToothFairy challenge accepted @ MICCAI 2024I am thrilled to announce that the second edition of the ToothFairy challenge "ToothFairy2: Multi-Structure Segmentation in CBCT Volumes" has been accepted @ MICCAI 2024 that will be held from October 6th to 10th 2024 in Marrakech, Morocco. Please visit the challenge wesite for more details. |
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