News
2024
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. |
01/03/2024 - New position as RTTI took up service as a tenure-track assistant professor. |
2023
20/11/2023 - Paper accepted for publication @ IEEE TMIOur 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 € |
24/10/2023 - Paper accepted for publication @ WACV 2024, Waikoloa, HawaiiOur paper "ClusterFix: A Cluster-based Debiasing Approach without Protected-Group Supervision" has been accepted for publication @ WACV 2024, which will take place on Jan. 4 - 8 in Waikoloa, Hawaii. |
24/07/2023 - MICCAI STudent-Author Registration (STAR) AwardOur paper "DAS-MIL: Distilling Across Scales for MIL Classification of WSIs", accepted for publication @ MICCAI 2023, recevied the MICCAI STudent-Author Registration (STAR) Award. |
14/07/2023 - Winner of the FARD 2023 CURIOSITY DRIVENI received a 10,000.00 € grant under FAR 2023 (University Fund for Research - Fondo di Ateneo per la Ricerca), call for CURIOSITY DRIVEN projects. The grant will be maily devoted to the study and development of artificial intelligence algorithms for the advanced analysis of confocal and whole-slide images to support the clinical practice. |
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 |
2022
11/10/2022 - Winner of the FARD 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 |
02/01/2022 - Covid CXR HackathonThe Covid CXR Hackathon has been launched during the Artificial Intelligence & Cybersecurity for Human Health workshpop - Expo 2020, Dubai. You can find all the datails in the hackathon website. |
2021
03/11/2021 - "Deep-Learning and High Performance Computing to Boost Biomedical Applications" workshop @ ICIAP 2021The workshop proposal "Deep-Learning and High Performance Computing to Boost Biomedical Applications" has been accepted @ ICIAP 2021. The workshop website is available here. |
15/10/2021 - "Binary is the new Black (and White)" workshop @ ICIAP 2021The workshop proposal "Binary is the new Black (and White): Recent Advances on Binary Image Processing" has been accepted @ ICIAP 2021. The workshop website is available here. |
17/01/2021 - "One DRAG to Rule Them All" paper accepted for publication at IEEE TPAMI!Our paper "One DRAG to Rule Them All" has been accepted for publication at "IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAMI". You can find the article here and the source code on GitHub. |
2020
11/10/2020 - 4 Papers Accepted for Publication @ ICPR 2020.Papers "Confidence Calibration for Deep Renal Biopsy Immunofluorescence Images Classification", "A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes", "Supporting Skin Lesion Diagnosis with Content-Based Image Retrieval", and "The DeepHealth Toolkit: a Unified Framework to Boost Biomedical Applications" have been accepted for publication @ ICPR 2020 |
30/06/2020 - Hardware funded by UNIMORE under FAR 2020, call for equipmentOur research group received a 20,000.00 € grant under UNIMORE FAR 2020 (University Fund for Research - Fondo di Ateneo per la Ricerca), call for equipment. Also thanks to the financial contribution of Prof. Giovanni Pellacani, Prof. Riccardo Magistroni, and Dr. Alexandre Anesi research teams, we will equip our lab with a new server system (~162 TFLOPS) to train AI models for Medical Imaging. |
03/04/2020 - Project funded in the "High Skills for Research and Technological Transfer" callOur 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. |
2019
16/12/2019 - Certificate of merit for scientific research in 2019 @ UNIMOREUNIMORE 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 2019Our 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 ChallengeOur 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. |
2018
01/10/2018 - The H2020 European Project "DeepHealth" has been acceptedDeep-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. |
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