About
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.
Recent News
02/01/2025 - Paper accepted for publication @ IEEE TMIOur 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). |
26/11/2024 - Project Financed Under FAR 2024I received a grant under FAR 2024 (University Fund for Research - Fondo di Ateneo per la Ricerca), FOMO line. The project entitled "Synthetic Data: A Solution to Medical Imaging Limitations" will be mainly devoted to designing, implementing, and testing artificial intelligence tools for the massive generation of realistic synthetic data as an ethical alternative to using sensitive patient data. Total amount funded 70,400.00 €. The project will involve collaborating with different research groups led by Prof. Alexandre Anesi, Prof. Laura Bertoni, and Prof. Giulia Besutti. |
28/10/2024 - 2 Papers Accepted for Publication @ WACV 2025.Papers "Semantically Conditioned Prompts for Visual Recognition under Missing Modality Scenarios" and "Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations" have been accepted for publication @ WACV 2025, Tucson, USA. |
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. |
Older news can be found in the news section.
Contact
Federico Bolelli, PhDUniversity of Modena & Reggio Emilia
Engineering Department "Enzo Ferrari"
Via P. Vivarelli 10
41125 Modena (MO), Italy
Building 27, Ground Floor, "Lab. Zero"
Tel. +39 059 205 8787
federico.bolelli _AT_ unimore.it