Automated Prediction of Kidney Failure in IgA Nephropathy with Deep Learning from Biopsy Images
F. Testa, F. Fontana, F. Pollastri, [...], F. Bolelli, [...], C. Grana, R. Magistroni
Clinical Journal of the American Society of Nephrology.
Deep Segmentation of the Mandibular Canal: a New 3D Annotated Dataset of CBCT Volumes
M. Cipriano, S. Allegretti, F. Bolelli, [...], A. Anesi, C. Grana
IEEE Access.
2021
A Deep Analysis on High Resolution Dermoscopic Image Classification
F. Pollastri, M. Parreño, J. Maroñas, F. Bolelli, R. Paredes, D. Ramos, C. Grana
IET Computer Vision.
One DAG to Rule Them All
F. Bolelli, S. Allegretti, C. Grana
IEEE Transactions on Pattern Analysis and Machine Intelligence.
2020
Evaluation of the Classification Accuracy of the Kidney Biopsy Direct Immunofluorescence through Convolutional Neural Networks
G. Ligabue, F. Pollastri, [...], F. Bolelli, C. Grana, R. Magistroni
Clinical Journal of the American Society of Nephrology.
2019
Spaghetti Labeling: Directed Acyclic Graphs for Block-Based Connected Components Labeling
F. Bolelli, S. Allegretti, L. Baraldi, C. Grana
IEEE Transactions on Image Processing.
Optimized Block-Based Algorithms to Label Connected Components on GPUs
S. Allegretti, F. Bolelli, C. Grana
IEEE Transactions on Parallel and Distributed Systems.
Augmenting Data with GANs to Segment Melanoma Skin Lesions
F. Pollastri, F. Bolelli, R. Paredes, C. Grana
Multimedia Tools and Applications.
2018
M-VAD Names: a Dataset for Video Captioning with Naming
S. Pini, M. Cornia, F. Bolelli, L. Baraldi, R. Cucchiara
Multimedia Tools and Applications Journal.
Towards reliable experiments on the performance of Connected Components Labeling algorithms
F. Bolelli, M. Cancilla, L. Baraldi, C. Grana
Journal of Real-Time Image Processing.
Conference Papers
2022
Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation
M. Cipriano, S. Allegretti, F. Bolelli, F. Pollastri, C. Grana
CVPR - New Orleans, USA.
Connected Components Labeling on Bitonal Images
F. Bolelli, S. Allegretti, C. Grana
ICIAP - Lecce, Italy.
2021
Fast Run-Based Connected Components Labeling for Bitonal Images
W. Lee, S. Allegretti, F. Bolelli, C. Grana
IVPR - Kitakyushu, Fukuoka, Japan. (Oral)
Long-Range 3D Self-Attention for MRI Prostate Segmentation
F. Pollastri, M. Cipriano, F. Bolelli, C. Grana
ISBI - Kolkata, India.
A Cone Beam Computed Tomography Annotation Tool for Automatic Detection of the Inferior Alveolar Nerve Canal
C. Mercadante, M. Cipriano, F. Bolelli, F. Pollastri, M. Di Bartolomeo, A. Anesi, C. Grana
VISAPP - Vienna, Austria.
The DeepHealth Toolkit: A Unified Framework to Boost Biomedical Applications
M. Cancilla, L. Canalini, F. Bolelli, [...], J.A. Gómez, S. Leo, M.E. Piras, L. Pireddu, A. Badouh, S. Marco-Sola, L. Alvarez, M. Moreto, C. Grana
ICPR - Milan, Italy.
A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes
M. Söchting, S. Allegretti, F. Bolelli, C. Grana
ICPR - Milan, Italy.
Supporting Skin Lesion Diagnosis with Content-Based Image Retrieval
S. Allegretti, F. Bolelli, F. Pollastri, S. Longhitano, G. Pellacani, C. Grana
ICPR - Milan, Italy.
Confidence Calibration for Deep Renal Biopsy Immunofluorescence Image Classification
F. Pollastri, J. Maroñas, F. Bolelli, G. Ligabue, R. Paredes, R. Magistroni, C. Grana
ICPR - Milan, Italy.
2020
A Warp Speed Chain-Code Algorithm Based on Binary Decision Trees
S. Allegretti, F. Bolelli, C. Grana
IVPR - Kitakyushu, Fukuoka, Japan. (Oral)
2019
Skin Lesion Segmentation Ensemble with Diverse Training Strategies
L. Canalini, F. Pollastri, F. Bolelli, M. Cancilla, S. Allegretti, C. Grana
CAIP - Salerno, Italy. (Oral)
How does Connected Components Labeling with Decision Trees perform on GPUs?
S. Allegretti, F. Bolelli, M. Cancilla, F. Pollastri, L. Canalini, C. Grana
CAIP - Salerno, Italy. (Oral, Best Paper Award!)
A Block-Based Union-Find Algorithm to Label Connected Components on GPUs
S. Allegretti, F. Bolelli, M. Cancilla, C. Grana
ICIAP - Trento, Italy.
Improving the Performance of Thinning Algorithms with Directed Rooted Acyclic Graphs
F. Bolelli, C. Grana
ICIAP - Trento, Italy. (Spotlight)
S. Allegretti, F. Bolelli, M. Cancilla, C. Grana
IPAS - Inria Sophia Antipolis, France. (Oral)
A Hierarchical Quasi-Recurrent approach to Video Captioning
F. Bolelli, L. Baraldi, C. Grana
IPAS - Inria Sophia Antipolis, France. (Oral)
Connected Components Labeling on DRAGs
F. Bolelli, L. Baraldi, M. Cancilla, C. Grana
ICPR - Beijing, China. (Oral)
Improving Skin Lesion Segmentation with Generative Adversarial Networks
F. Pollastri, F. Bolelli, R. Paredes, C. Grana
CBMS - Karlstad, Sweden.
XDOCS: an Application to Index Historical Documents
F. Bolelli, G. Borghi, C. Grana
IRCDL - Udine, Italy. (Oral)
2017
Historical Handwritten Text Images Word Spotting through Sliding Window HOG Features
F. Bolelli, G. Borghi, C. Grana
ICIAP - Catania, Italy.
Two More Strategies to Speed Up Connected Components Labeling Algorithms
F. Bolelli, M. Cancilla, C. Grana
ICIAP - Catania, Italy.
Indexing of Historical Document Images: Ad Hoc Dewarping Technique for Handwritten Text
F. Bolelli IRCDL - Modena, Italy.
2016
YACCLAB - Yet Another Connected Components Labeling Benchmark
C. Grana, F. Bolelli, L. Baraldi, R. Vezzani
ICPR - Cancun, Mexico.
Optimized Connected Components Labeling with Pixel Prediction
C. Grana, L. Baraldi, F. Bolelli ACIVS - Lecce, Italy. (Oral)
Workshop Papers
2022
Quest for Speed: The Epic Saga of Record-Breaking on OpenCV Connected Components Extraction
F. Bolelli, S. Allegretti, C. Grana
BNBW - Lecce, Italy.
2021
A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes
F. Bolelli, S. Allegretti, C. Grana
RRPR - Milan, Italy.
2019
Connected Components Labeling on DRAGs: Implementation and Reproducibility Notes
F. Bolelli, M. Cancilla, L. Baraldi, C. Grana
RRPR - Beijing, China.
Book Chapters
2022
Applications of AI and HPC in the Health Domain
D. Oniga, B. Cantalupo, E. Tartaglione, D. Perlo, M. Grangetto, M. Aldinucci, F. Bolelli, [...], M. Florea
HPC, Big Data, and AI Convergence Towards Exascale: Challenge and Vision.
2021
The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures
M. Aldinucci, D. Atienza, F. Bolelli, M. Caballero, [...], M. Zapater
Technologies and Applications for Big Data Value.