Federico Bolelli is an 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 PhD degree in ICT from the International Doctorate School.
His research interests include image processing, algorithms and optimization, medical imaging, and historical document analysis. Among his research topics, he has worked on the optimization of binary image processing algorithms, modelling 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on skin lesion segmentation and classification for melanoma skin cancer detection and handwritten text recognition of historical documents.
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.
25/05/2023 - Paper accepted for publication @ MICCAI 2023, VancouverOur paper "DAS-MIL: Distilling Across Scales for MIL Classification of WSIs" has been provisionally accepted (early acceptance) for publication @ MICCAI 2023 that will be held from October 8th to 12nd 2023 in Vancouver Convention Centre Canada. |
03/03/2023 - Tooth Fairy Challenge Accepted @ MICCAI 2023, VancouverOur challenge "Tooth Fairy: A Cone-Beam Computed Tomography Segmentation Challenge" has been accepted @ MICCAI 2023 that will be held from October 8th to 12nd 2023 in Vancouver Convention Centre Canada. More details will be soon available at www.toothfairychallenge.eu |
11/10/2022 - Winner of the FAR 2022 STARTER KITI received a ~10,000.00 € grant under FAR 2022 (University Fund for Research - Fondo di Ateneo per la Ricerca), call for STARTER KIT. The grant will be maily devoted to the development of ML/AI algoritmhs for classifying skin lesion images from mobile devices. |
01/03/2022 - Paper accepted for publication @ CVPR2022Our paper "Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation" has been accepted for publication @ "CVPR2022". See the paper and the website. |
01/03/2022 - Taking service as Assistan Professor (RTDA) @ UNIMORETaking service as Assistan Professor (RTDA) at the University of Modena and Reggio Emilia |
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