03/04/2020 - Project funded in the "High Skills for Research and Technological Transfer" call

Our research project "Automated detection of the Inferior Alveolar nerve Canal (IAC) in Cone Beam Computed Tomography (CBCT) using deep-learning techniques" has been selected by Emilia Romagna region in the call "Alte Competenze per la Ricerca e il Trasferimento Tecnologico" (High Skills for Research and Technological Transfer). Together with the team of Prof. Alexandre Anesi, our research group will receive a 30,000.00 € grant for a fellow position.


16/12/2019 - Certificate of merit for scientific research in 2019 @ UNIMORE

UNIMORE awarded more than 70 students and researchers with a certificate of merit for having distinguished themselves in national and international scientific research in 2019. I am proud to be one of them! .

29/09/2019 - The paper on Spaghetti Labeling has been accepted at Transactions on Image Processing!

Our paper "Spaghetti Labeling: Directed Acyclic Graphs for Block-Based Connected Components Labeling" has been accepted at "IEEE Transactions on Image Processing - TIP". See the paper and the source code on GitHub.

04/09/2019 - Best Paper Award at CAIP 2019

Our paper "How does Connected Components Labeling with Decision Trees perform on GPUs?" has been awarded as the best paper of the "18th International Conference on Computer Analysis of Images and Patterns" . See the paper and the GitHub repository with the source code.

31/08/2019 - Third Place at the 2019 ISIC Challenge

Our research team, together with the PRHLT group from the Polytechnic University of Valencia, came third (out of 64 research groups) in the international competition on skin lesion classification (ISIC 2019). See the online leaderboard.


01/10/2018 – The H2020 European Project "DeepHealth" has been accepted

Deep-Learning and HPC to Boost Biomedical Applications for Health (DeepHealth in short) project has been funded by the EC under the topic ICT-11-2018-2019 "HPC and Big Data enabled Large-scale Test-beds and Applications". DeepHealth is a 3-year project, kicked-off in mid January 2019 and is expected to conclude its work in December 2021. The aim of DeepHealth is to offer a unified framework completely adapted to exploit underlying heterogeneous HPC and Big Data architectures; and assembled with state-of-the-art techniques in Deep Learning and Computer Vision. The project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 825111. Our research team will be involved in the development of the European Computer Vision Library (ECVL), the front-end of the DeepHealth toolkit, and will be responsible for the skin lesion segmentation and classification use case.

2019 - 2020 Federico Bolelli