Federico Bolelli


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.

Recent News

18/05/2024 - Paper accepted for publication @ IEEE Access

Our 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 2024

I 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.

01/03/2024 - New position as RTT

I took up service as a tenure-track assistant professor.

20/11/2023 - Paper accepted for publication @ IEEE TMI

Our paper "A Graph-Based Multi-Scale Approach with Knowledge Distillation for WSI Classification" has been accepted for publication @ IEEE Transactions on Medical Imaging (TMI).

03/11/2023 - Project financed by "Fondo di Ateneo per la Ricerca 2023"

Our project "Deep Learning for Renal Pathology Prognosis Prediction" (CUP E93C23002090007) has been financed by the "Fondo di Ateneo per la Ricerca 2023 (University Research Fund 2023)" for a total of 65,600.00 €

Older news can be found in the news section.


Federico Bolelli, PhD

University 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