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2020 – today
- 2024
[j10]Luca Lumetti
, Vittorio Pipoli, Federico Bolelli, Elisa Ficarra, Costantino Grana:
Enhancing Patch-Based Learning for the Segmentation of the Mandibular Canal. IEEE Access 12: 79014-79024 (2024)- [j9]Gianpaolo Bontempo, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra:
A Graph-Based Multi-Scale Approach With Knowledge Distillation for WSI Classification. IEEE Trans. Medical Imaging 43(4): 1412-1421 (2024) - [c31]Giacomo Capitani, Federico Bolelli, Angelo Porrello, Simone Calderara, Elisa Ficarra:
ClusterFix: A Cluster-Based Debiasing Approach without Protected-Group Supervision. WACV 2024: 4858-4867 - 2023
- [c30]Gianpaolo Bontempo, Luca Lumetti, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra:
Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach. ICIAP (2) 2023: 1-12 - [c29]Luca Lumetti, Vittorio Pipoli, Federico Bolelli, Costantino Grana:
Annotating the Inferior Alveolar Canal: The Ultimate Tool. ICIAP (1) 2023: 525-536 - [c28]Gianpaolo Bontempo, Nicola Bartolini, Marta Lovino, Federico Bolelli, Anni Virtanen, Elisa Ficarra:
Enhancing PFI Prediction with GDS-MIL: A Graph-Based Dual Stream MIL Approach. ICIAP (1) 2023: 550-562 - [c27]Gianpaolo Bontempo, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra:
DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIs. MICCAI (1) 2023: 248-258 - [i2]Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.:
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR abs/2308.16139 (2023) - 2022
- [j8]Marco Cipriano, Stefano Allegretti, Federico Bolelli, Mattia Di Bartolomeo, Federico Pollastri, Arrigo Pellacani, Paolo Minafra, Alexandre Anesi, Costantino Grana:
Deep Segmentation of the Mandibular Canal: A New 3D Annotated Dataset of CBCT Volumes. IEEE Access 10: 11500-11510 (2022) - [j7]Federico Bolelli, Stefano Allegretti, Costantino Grana:
One DAG to Rule Them All. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3647-3658 (2022) - [c26]Marco Cipriano, Stefano Allegretti, Federico Bolelli, Federico Pollastri, Costantino Grana:
Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation. CVPR 2022: 21105-21114 - [c25]Federico Bolelli, Stefano Allegretti, Costantino Grana:
Quest for Speed: The Epic Saga of Record-Breaking on OpenCV Connected Components Extraction. ICIAP Workshops 2022: 107-118 - [c24]Federico Bolelli, Stefano Allegretti, Costantino Grana:
Connected Components Labeling on Bitonal Images. ICIAP (2) 2022: 347-357 - [c23]Federico Pollastri, Marco Cipriano, Federico Bolelli, Costantino Grana:
Long-Range 3D Self-Attention for MRI Prostate Segmentation. ISBI 2022: 1-5 - [p1]Marco Aldinucci, David Atienza, Federico Bolelli, Mónica Caballero, Iacopo Colonnelli, José Flich, Jon Ander Gómez, David González, Costantino Grana, Marco Grangetto, Simone Leo, Pedro López, Dana Oniga, Roberto Paredes, Luca Pireddu, Eduardo Quiñones, Tatiana Silva, Enzo Tartaglione, Marina Zapater:
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. Technologies and Applications for Big Data Value 2022: 183-202 - 2021
- [j6]Federico Pollastri, Mario Parreño, Juan Maroñas, Federico Bolelli, Roberto Paredes, Daniel Ramos, Costantino Grana:
A deep analysis on high-resolution dermoscopic image classification. IET Comput. Vis. 15(7): 514-526 (2021) - [c22]Federico Bolelli, Stefano Allegretti, Costantino Grana:
A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes. RRPR 2021: 139-145 - [c21]Cristian Mercadante, Marco Cipriano, Federico Bolelli, Federico Pollastri, Mattia Di Bartolomeo, Alexandre Anesi, Costantino Grana:
A Cone Beam Computed Tomography Annotation Tool for Automatic Detection of the Inferior Alveolar Nerve Canal. VISIGRAPP (4: VISAPP) 2021: 724-731 - 2020
- [j5]Federico Bolelli, Michele Cancilla, Lorenzo Baraldi, Costantino Grana:
Toward reliable experiments on the performance of Connected Components Labeling algorithms. J. Real Time Image Process. 17(2): 229-244 (2020) - [j4]Federico Pollastri, Federico Bolelli, Roberto Paredes, Costantino Grana:
Augmenting data with GANs to segment melanoma skin lesions. Multim. Tools Appl. 79(21-22): 15575-15592 (2020) - [j3]Federico Bolelli, Stefano Allegretti, Lorenzo Baraldi, Costantino Grana:
Spaghetti Labeling: Directed Acyclic Graphs for Block-Based Connected Components Labeling. IEEE Trans. Image Process. 29: 1999-2012 (2020) - [j2]Stefano Allegretti, Federico Bolelli, Costantino Grana:
Optimized Block-Based Algorithms to Label Connected Components on GPUs. IEEE Trans. Parallel Distributed Syst. 31(2): 423-438 (2020) - [c20]Federico Pollastri, Juan Maroñas, Federico Bolelli, Giulia Ligabue, Roberto Paredes, Riccardo Magistroni, Costantino Grana:
Confidence Calibration for Deep Renal Biopsy Immunofluorescence Image Classification. ICPR 2020: 1298-1305 - [c19]Maximilian Söchting, Stefano Allegretti, Federico Bolelli, Costantino Grana:
A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes. ICPR 2020: 7751-7758 - [c18]Stefano Allegretti, Federico Bolelli, Federico Pollastri, Sabrina Longhitano, Giovanni Pellacani, Costantino Grana:
Supporting Skin Lesion Diagnosis with Content-Based Image Retrieval. ICPR 2020: 8053-8060 - [c17]Michele Cancilla, Laura Canalini, Federico Bolelli, Stefano Allegretti, Salvador Carrión, Roberto Paredes, Jon Ander Gómez, Simone Leo, Marco Enrico Piras, Luca Pireddu, Asaf Badouh, Santiago Marco-Sola, Lluc Alvarez, Miquel Moretó, Costantino Grana:
The DeepHealth Toolkit: A Unified Framework to Boost Biomedical Applications. ICPR 2020: 9881-9888
2010 – 2019
- 2019
- [j1]Stefano Pini, Marcella Cornia, Federico Bolelli, Lorenzo Baraldi, Rita Cucchiara:
M-VAD names: a dataset for video captioning with naming. Multim. Tools Appl. 78(10): 14007-14027 (2019) - [c16]Stefano Allegretti, Federico Bolelli, Michele Cancilla, Federico Pollastri, Laura Canalini, Costantino Grana:
How Does Connected Components Labeling with Decision Trees Perform on GPUs? CAIP (1) 2019: 39-51 - [c15]Laura Canalini, Federico Pollastri, Federico Bolelli, Michele Cancilla, Stefano Allegretti, Costantino Grana:
Skin Lesion Segmentation Ensemble with Diverse Training Strategies. CAIP (1) 2019: 89-101 - [c14]Federico Bolelli, Costantino Grana:
Improving the Performance of Thinning Algorithms with Directed Rooted Acyclic Graphs. ICIAP (2) 2019: 148-158 - [c13]Stefano Allegretti, Federico Bolelli, Michele Cancilla, Costantino Grana:
A Block-Based Union-Find Algorithm to Label Connected Components on GPUs. ICIAP (2) 2019: 271-281 - [i1]Stefano Pini, Marcella Cornia, Federico Bolelli, Lorenzo Baraldi, Rita Cucchiara:
M-VAD Names: a Dataset for Video Captioning with Naming. CoRR abs/1903.01489 (2019) - 2018
- [c12]Federico Bolelli, Federico Pollastri, Roberto Paredes Palacios:
Monitoring the Effectiveness of Clinical Guidelines: Is the Recommendation Still Valid? CBMS 2018: 304-309 - [c11]Federico Bolelli, Federico Pollastri, Roberto Paredes Palacios, Costantino Grana:
Improving Skin Lesion Segmentation with Generative Adversarial Networks. CBMS 2018: 442-443 - [c10]Federico Bolelli, Lorenzo Baraldi, Michele Cancilla, Costantino Grana:
Connected Components Labeling on DRAGs. ICPR 2018: 121-126 - [c9]Federico Bolelli, Lorenzo Baraldi, Federico Pollastri, Costantino Grana:
A Hierarchical Quasi-Recurrent approach to Video Captioning. IPAS 2018: 162-167 - [c8]Stefano Allegretti, Federico Bolelli, Michele Cancilla, Costantino Grana:
Optimizing GPU-Based Connected Components Labeling Algorithms. IPAS 2018: 175-180 - [c7]Federico Bolelli, Guido Borghi, Costantino Grana:
XDOCS: An Application to Index Historical Documents. IRCDL 2018: 151-162 - [c6]Federico Bolelli, Michele Cancilla, Lorenzo Baraldi, Costantino Grana:
Connected Components Labeling on DRAGs: Implementation and Reproducibility Notes. RRPR 2018: 89-93 - 2017
- [c5]Federico Bolelli, Michele Cancilla, Costantino Grana:
Two More Strategies to Speed Up Connected Components Labeling Algorithms. ICIAP (2) 2017: 48-58 - [c4]Federico Bolelli, Guido Borghi, Costantino Grana:
Historical Handwritten Text Images Word Spotting Through Sliding Window HOG Features. ICIAP (1) 2017: 729-738 - [c3]Federico Bolelli:
Indexing of Historical Document Images: Ad Hoc Dewarping Technique for Handwritten Text. IRCDL 2017: 45-55 - 2016
- [c2]Costantino Grana, Lorenzo Baraldi, Federico Bolelli:
Optimized Connected Components Labeling with Pixel Prediction. ACIVS 2016: 431-440 - [c1]Costantino Grana, Federico Bolelli, Lorenzo Baraldi, Roberto Vezzani:
YACCLAB - Yet Another Connected Components Labeling Benchmark. ICPR 2016: 3109-3114
Coauthor Index
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last updated on 2024-10-07 22:17 CEST by the dblp team
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