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Daniele Perlo
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2020 – today
- 2024
- [c12]Selma Boudissa, Georgia Kanli, Daniele Perlo
, Thomas Jaquet, Olivier Keunen:
Addressing Artefacts in Anatomical MR Images: A k-space-Based Approach. ISBI 2024: 1-5 - [c11]Daniele Perlo
, Georgia Kanli
, Selma Boudissa, Olivier Keunen
:
Multi-parametric MRI to FMISO PET Synthesis for Hypoxia Prediction in Brain Tumors. DGM4MICCAI@MICCAI 2024: 119-128 - [c10]Georgia Kanli, Daniele Perlo
, Selma Boudissa, Radovan Jirík, Olivier Keunen:
Simultaneous Image Quality Improvement and Artefacts Correction in Accelerated MRI. MLMI@MICCAI (1) 2024: 228-237 - [i7]Daniele Perlo, Georgia Kanli, Selma Boudissa, Olivier Keunen:
Predicting Hypoxia in Brain Tumors from Multiparametric MRI. CoRR abs/2401.14171 (2024) - [i6]Daniele Perlo, Luca Berton, Alessia Delpiano, Francesca Menchini, Stefano Tibaldi, Marco Grosso, Paolo Fonio:
Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification. CoRR abs/2401.14206 (2024) - 2022
- [c9]Daniele Perlo
, Luca Berton
, Alessia Delpiano, Francesca Menchini, Stefano Tibaldi
, Marco Grosso, Paolo Fonio:
Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification. IEEE Big Data 2022: 4425-4433 - [c8]Hafiza Ayesha Hoor Chaudhry
, Riccardo Renzulli
, Daniele Perlo
, Francesca Santinelli, Stefano Tibaldi
, Carmen Cristiano, Marco Grosso
, Giorgio Limerutti, Attilio Fiandrotti
, Marco Grangetto
, Paolo Fonio
:
UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans. ICIAP (1) 2022: 185-196 - [c7]Hafiza Ayesha Hoor Chaudhry
, Riccardo Renzulli
, Daniele Perlo
, Francesca Santinelli, Stefano Tibaldi
, Carmen Cristiano, Marco Grosso
, Attilio Fiandrotti
, Maurizio Lucenteforte
, Davide Cavagnino:
Lung Nodules Segmentation with DeepHealth Toolkit. ICIAP Workshops (1) 2022: 487-497 - [c6]Daniele Perlo
, Enzo Tartaglione
, Umberto A. Gava
, Federico D'Agata, Edwin Benninck, Mauro Bergui
:
UniToBrain Dataset: A Brain Perfusion Dataset. ICIAP Workshops (1) 2022: 498-509 - [i5]Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli
, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi
, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino:
Lung nodules segmentation from CT with DeepHealth toolkit. CoRR abs/2208.00641 (2022) - [i4]Daniele Perlo, Enzo Tartaglione, Umberto A. Gava
, Federico D'Agata, Edwin Benninck, Mauro Bergui:
UniToBrain dataset: a Brain Perfusion Dataset. CoRR abs/2208.00650 (2022) - 2021
- [c5]Carlo Alberto Barbano
, Daniele Perlo
, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto:
Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading. ICIP 2021: 76-80 - [c4]Daniele Perlo
, Enzo Tartaglione, Paola Cassoni, Luca Bertero, Marco Grangetto:
Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images. MICAD 2021: 325-334 - [d4]Luca Bertero
, Carlo Alberto Barbano
, Daniele Perlo
, Enzo Tartaglione
, Paola Cassoni, Marco Grangetto
, Attilio Fiandrotti
, Alessandro Gambella
, Luca Cavallo:
UNITOPATHO. IEEE DataPort, 2021 - [d3]Umberto A. Gava
, Federico D'Agata
, Edwin Bennink
, Enzo Tartaglione
, Daniele Perlo
, Annamaria Vernone
, Francesca Bertolino, Eleonora Ficiarà
, Alessandro Cicerale
, Fabrizio Pizzagalli
, Caterina Guiot
, Marco Grangetto
, Mauro Bergui
:
UniTOBrain. IEEE DataPort, 2021 - [d2]Umberto A. Gava
, Federico D'Agata
, Edwin Bennink
, Enzo Tartaglione
, Daniele Perlo
, Annamaria Vernone
, Francesca Bertolino, Eleonora Ficiarà
, Alessandro Cicerale
, Fabrizio Pizzagalli
, Caterina Guiot
, Marco Grangetto
, Mauro Bergui
:
UniToBrain Dataset. Version V1.4. Zenodo, 2021 [all versions] - [d1]Daniele Perlo
, Riccardo Renzulli
, Francesca Santinelli, Stefano Tibaldi
, Carmen Cristiano, Marco Grosso
, Giorgio Limerutti, Marco Grangetto
, Paolo Fonio
:
UniToChest. Zenodo, 2021 - [i3]Carlo Alberto Barbano
, Daniele Perlo
, Enzo Tartaglione, Attilio Fiandrotti, Luca Bertero, Paola Cassoni, Marco Grangetto:
UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading. CoRR abs/2101.09991 (2021) - [i2]Daniele Perlo
, Enzo Tartaglione, Luca Bertero, Paola Cassoni, Marco Grangetto:
Dysplasia grading of colorectal polyps through CNN analysis of WSI. CoRR abs/2102.05498 (2021)
2010 – 2019
- 2019
- [c3]Enzo Tartaglione
, Daniele Perlo
, Marco Grangetto
:
Post-synaptic Potential Regularization Has Potential. ICANN (2) 2019: 187-200 - [i1]Enzo Tartaglione, Daniele Perlo, Marco Grangetto:
Post-synaptic potential regularization has potential. CoRR abs/1907.08544 (2019) - 2014
- [c2]Agata Marta Soccini, Manuela Marello, Nello Balossino, Christian Bar, Valter Basso, Maurizio Lucenteforte, Daniele Perlo
, Filippo Racca, Lorenzo Rocci:
Virtual Reality Interface for Multidisciplinary Physical Analysis of Space Vehicles. EuroVR 2014 - 2013
- [c1]Davide Gianfelice, Leonardo Lesmo, Monica Palmirani, Daniele Perlo
, Daniele Paolo Radicioni
:
Modificatory provisions detection: a hybrid NLP approach. ICAIL 2013: 43-52
Coauthor Index
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