Archivio Istituzionale della RicercaMORRA, LIA
MORRA, LIA
Dipartimento di Automatica e Informatica
012819
Mammography classification with multi-view deep learning techniques: investigating graph and transformer-based architectures
2025 Manigrasso, Francesco; Milazzo, Rosario; Russo, Alessandro; Lamberti, Fabrizio; Strand, Fredrik; Pagnani, Andrea; Morra, Lia
Analyzing the performance of Deep Learning-based techniques for Human Pose Estimation
2024 Boscolo, Federico; Lamberti, Fabrizio; Morra, Lia
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing
2024 Mahmood, Usman; Shukla-Dave, Amita; Chan, Heang-Ping; Drukker, Karen; Samala, Ravi K; Chen, Quan; Vergara, Daniel; Greenspan, Hayit; Petrick, Nicholas; Sahiner, Berkman; Huo, Zhimin; Summers, Ronald M; Cha, Kenny H; Tourassi, Georgia; Deserno, Thomas M; Grizzard, Kevin T; Näppi, Janne J; Yoshida, Hiroyuki; Regge, Daniele; Mazurchuk, Richard; Suzuki, Kenji; Morra, Lia; Huisman, Henkjan; Armato, Samuel G; Hadjiiski, Lubomir
Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging
2024 Daniel, Vergara; Samuel G., Armato; Lubomir, Hadjiiski; Karen, Drukker; Cha, Kenny; Chan, Heang-Ping; Morra, Lia; J Näppi, Janne; Sahiner, Berkman; Yoshida, Hiroyuki; Chen, Quan; M Deserno, Thomas; Greenspan, Hayit; Huisman, Henkjan; Huo, Zhimin; Mazurchuk, Richard; Petrick, Nicholas; Regge, Daniele; Samala, Ravi; M Summers, Ronald; Suzuki, Kenji; Tourassi, Georgia; Shukla-Dave, Amita; Mahmood, Usman
Drift Detection for Black Box Deep Learning Models
2024 Piano, Luca; Garcea, Fabio; Cavallone, Andrea; Aparicio Vazquez, Ignacio; Morra, Lia; Lamberti, Fabrizio
EASTERN project: Earth observation models for weather event mitigation
2024 Bianco, Selene; Corcione, Valeria; Maragliano, Matteo; Chiara Rodi, Giovanna; Marangoni, Stefano; Morra, Lia; Tommasi, Tatiana; Alliegro, Antonio; Caretto, Michelangelo; Milazzo, Rosario; Aponte, Osmari; Gatti, Andrea; Realini, Eugenio
Enhancing Neuro-Symbolic Integration with Focal Loss: A Study on Logic Tensor Networks
2024 Piano, Luca; Manigrasso, Francesco; Russo, Alessandro; Morra, Lia
ESRA: A Neuro-Symbolic Relation Transformer for Autonomous Driving
2024 Russo, Alessandro; Morra, Lia; Lamberti, Fabrizio; Dimasi, PAOLO EMMANUEL ILARIO
For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives
2024 Morra, Lia; Santangelo, Antonio; Basci, Pietro; Piano, Luca; Garcea, Fabio; Lamberti, Fabrizio; Leone, Massimo
Harnessing Foundation Models for Image Anonymization
2024 Piano, Luca; Basci, Pietro; Lamberti, Fabrizio; Morra, Lia
On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks
2024 Milazzo, Rosario; De Marco, Vincenzo; De Sio, Corrado; Fosson, Sophie; Morra, Lia; Sterpone, Luca
Probing LLMs for logical reasoning
2024 Manigrasso, Francesco; Schouten, Stefan; Morra, Lia; Peter Bloem, And
γ-Razor: Hardness-Aware Dataset Pruning for Efficient Neural Network Training
2024 Liu, Lei; Zhang, Peng; Liang, Yunji; Liu, Junrui; Morra, Lia; Guo, Bin; Yu, Zhiwen; Zhang, Yanyong; Zeng, Daniel D.
AAPM Task Group Report 273: Recommendations on Best Practices for AI and Machine Learning for Computer-Aided Diagnosis in Medical Imaging
2023 Hadjiiski, Lubomir; Cha, Kenny; Chan, Heang-Ping; Drukker, Karen; Morra, Lia; Näppi, Janne J.; Sahiner, Berkman; Yoshida, Hiroyuki; Chen, Quan; Deserno, Thomas M.; Greenspan, Hayit; Huisman, Henkjan; Huo, Zhimin; Mazurchuk, Richard; Petrick, Nicholas; Regge, Daniele; Samala, Ravi; Summers, Ronald M.; Suzuki, Kenji; Tourassi, Georgia; Vergara, Daniel; Armato III, Samuel G.
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification
2023 Piano, Luca; Prattico', FILIPPO GABRIELE; Russo, ALESSANDRO SEBASTIAN; Lanari, Lorenzo; Morra, Lia; Lamberti, Fabrizio
Data Augmentation for medical imaging: a Systematic Literature Review
2023 Garcea, Fabio; Serra, Alessio; Lamberti, Fabrizio; Morra, Lia
Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment
2023 Bianconi, Andrea; Rossi, Luca Francesco; Bonada, Marta; Zeppa, Pietro; Nico, Elsa; De Marco, Raffaele; Lacroce, Paola; Cofano, Fabio; Bruno, Francesco; Morana, Giovanni; Melcarne, Antonio; Ruda, Roberta; Mainardi, Luca; Fiaschi, Pietro; Garbossa, Diego; Morra, Lia
Designing Logic Tensor Networks for Visual Sudoku puzzle classification
2023 Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; Delrio, Federico; DI GIACOMO, Giuseppe; Eiraudo, Simone; Ghione, Giorgia; Giudice, Rocco; Koudounas, Alkis; Piano, Luca; REGE CAMBRIN, Daniele; Risso, Matteo; Rondina, Marco; Russo, ALESSANDRO SEBASTIAN; Russo, Marco; Taioli, Francesco; Vaiani, Lorenzo; Vercellino, Chiara
Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching
2023 Manigrasso, Francesco; Morra, Lia; Lamberti, Fabrizio
HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers
2023 Dibitonto, Francesco; Garcea, Fabio; Panisson, André; Perotti, Alan; Morra, Lia
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Mammography classification with multi-view deep learning techniques: investigating graph and transformer-based architectures / Manigrasso, Francesco; Milazzo, Rosario; Russo, Alessandro; Lamberti, Fabrizio; Strand, Fredrik; Pagnani, Andrea; Morra, Lia. - In: MEDICAL IMAGE ANALYSIS. - ISSN 1361-8415. - 99:(2025). [10.1016/j.media.2024.103320] | 1-gen-2025 | Francesco ManigrassoRosario MilazzoAlessandro RussoFabrizio LambertiAndrea PagnaniLia Morra + | 1-s2.0-S1361841524002457-main.pdf |
| Analyzing the performance of Deep Learning-based techniques for Human Pose Estimation / Boscolo, Federico; Lamberti, Fabrizio; Morra, Lia. - ELETTRONICO. - (2024), pp. 193-198. (Intervento presentato al convegno IEEE International Workshop on Sport Technology and Research (STAR) tenutosi a Lecco (ITA) nel 08-10 July 2024) [10.1109/STAR62027.2024.10635956]. | 1-gen-2024 | Boscolo, FedericoLamberti, FabrizioMorra, Lia | Analyzing_the_Performance_of_Deep_Learning-based_Techniques_for_Human_Pose_Estimation.pdf |
| Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing / Mahmood, Usman; Shukla-Dave, Amita; Chan, Heang-Ping; Drukker, Karen; Samala, Ravi K; Chen, Quan; Vergara, Daniel; Greenspan, Hayit; Petrick, Nicholas; Sahiner, Berkman; Huo, Zhimin; Summers, Ronald M; Cha, Kenny H; Tourassi, Georgia; Deserno, Thomas M; Grizzard, Kevin T; Näppi, Janne J; Yoshida, Hiroyuki; Regge, Daniele; Mazurchuk, Richard; Suzuki, Kenji; Morra, Lia; Huisman, Henkjan; Armato, Samuel G; Hadjiiski, Lubomir. - 1:1(2024). [10.1093/bjrai/ubae003] | 1-gen-2024 | Morra, Lia + | ubae003.pdf |
| Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging / Daniel, Vergara; Samuel G., Armato; Lubomir, Hadjiiski; Karen, Drukker; Cha, Kenny; Chan, Heang-Ping; Morra, Lia; J Näppi, Janne; Sahiner, Berkman; Yoshida, Hiroyuki; Chen, Quan; M Deserno, Thomas; Greenspan, Hayit; Huisman, Henkjan; Huo, Zhimin; Mazurchuk, Richard; Petrick, Nicholas; Regge, Daniele; Samala, Ravi; M Summers, Ronald; Suzuki, Kenji; Tourassi, Georgia; Shukla-Dave, Amita; Mahmood, Usman. - In: JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY. - ISSN 1546-1440. - 21:2(2024), pp. 341-343. [10.1016/j.jacr.2023.10.021] | 1-gen-2024 | Lia Morra + | 1-s2.0-S1546144023008530-main.pdf |
| Drift Detection for Black Box Deep Learning Models / Piano, Luca; Garcea, Fabio; Cavallone, Andrea; Aparicio Vazquez, Ignacio; Morra, Lia; Lamberti, Fabrizio. - In: IT PROFESSIONAL. - ISSN 1520-9202. - 26:2(2024), pp. 24-31. [10.1109/MITP.2023.3338007] | 1-gen-2024 | Luca PianoFabio GarceaLia MorraFabrizio Lamberti + | ITPro_Drift_Detection_Extension_Last (1).pdf; Drift_Detection_for_Black-Box_Deep_Learning_Models.pdf |
| EASTERN project: Earth observation models for weather event mitigation / Bianco, Selene; Corcione, Valeria; Maragliano, Matteo; Chiara Rodi, Giovanna; Marangoni, Stefano; Morra, Lia; Tommasi, Tatiana; Alliegro, Antonio; Caretto, Michelangelo; Milazzo, Rosario; Aponte, Osmari; Gatti, Andrea; Realini, Eugenio. - (2024), pp. 318-322. (Intervento presentato al convegno SPAICE Conference on AI in and for Space tenutosi a London (UK) nel 17 – 19 September 2024) [10.5281/zenodo.13885605]. | 1-gen-2024 | Lia MorraTatiana TommasiAntonio AlliegroMichelangelo CarettoRosario Milazzo + | EASTERN project Earth observation models for weather event mitigation.pdf |
| Enhancing Neuro-Symbolic Integration with Focal Loss: A Study on Logic Tensor Networks / Piano, Luca; Manigrasso, Francesco; Russo, Alessandro; Morra, Lia. - STAMPA. - 14980:(2024), pp. 14-23. (Intervento presentato al convegno 18th International Conference on Neuro-symbolic Learning and Reasoning tenutosi a Barcelona (ESP) nel September 9–12, 2024) [10.1007/978-3-031-71170-1_2]. | 1-gen-2024 | Luca PianoFrancesco ManigrassoAlessandro RussoLia Morra | FocalLTN___NeSy24.pdf; 978-3-031-71170-1_2.pdf |
| ESRA: A Neuro-Symbolic Relation Transformer for Autonomous Driving / Russo, Alessandro; Morra, Lia; Lamberti, Fabrizio; Dimasi, PAOLO EMMANUEL ILARIO. - STAMPA. - (2024). (Intervento presentato al convegno International Joint Conference on Neural Networks (IJCNN) 2024 tenutosi a Yokohama (JPN) nel 30 June 2024 - 05 July 2024) [10.1109/IJCNN60899.2024.10651426]. | 1-gen-2024 | Alessandro RussoLia MorraFabrizio LambertiPaolo Emmanuel Ilario Dimasi | IEEE_WCCI_2024.pdf; ESRA_a_Neuro-Symbolic_Relation_Transformer_for_Autonomous_Driving.pdf |
| For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives / Morra, Lia; Santangelo, Antonio; Basci, Pietro; Piano, Luca; Garcea, Fabio; Lamberti, Fabrizio; Leone, Massimo. - In: COMPUTER VISION AND IMAGE UNDERSTANDING. - ISSN 1077-3142. - 249:(2024). [10.1016/j.cviu.2024.104187] | 1-gen-2024 | Lia MorraAntonio SantangeloPietro BasciLuca PianoFabio GarceaFabrizio Lamberti + | 1-s2.0-S1077314224002686-main.pdf |
| Harnessing Foundation Models for Image Anonymization / Piano, Luca; Basci, Pietro; Lamberti, Fabrizio; Morra, Lia. - ELETTRONICO. - (2024). (Intervento presentato al convegno 2024 IEEE Gaming, Entertainment, and Media Conference (GEM) tenutosi a Turin (ITA) nel 05-07 June 2024) [10.1109/GEM61861.2024.10585484]. | 1-gen-2024 | Luca PianoPietro BasciFabrizio LambertiLia Morra | 1571012047 final.pdf; 2024_Harnessing_Foundation_Models_for_Image_Anonymization.pdf |
| On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks / Milazzo, Rosario; De Marco, Vincenzo; De Sio, Corrado; Fosson, Sophie; Morra, Lia; Sterpone, Luca. - ELETTRONICO. - (2024), pp. 110-115. (Intervento presentato al convegno 27th International Symposium on Design and Diagnostics of Electronic Circuits and Systems tenutosi a Kielce (Polonia) nel 3-5 April 2024) [10.1109/DDECS60919.2024.10508923]. | 1-gen-2024 | Milazzo, RosarioDe Marco, VincenzoDe Sio, CorradoFosson, SophieMorra, LiaSterpone, Luca | 2024050425.pdf; On_the_Fault_Tolerance_of_Self-Supervised_Training_in_Convolutional_Neural_Networks.pdf |
| Probing LLMs for logical reasoning / Manigrasso, Francesco; Schouten, Stefan; Morra, Lia; Peter Bloem, And. - ELETTRONICO. - 14979:(2024), pp. 257-278. (Intervento presentato al convegno 18th International Conference on Neuro-symbolic Learning and Reasoning tenutosi a Barcelona (ESP) nel September 9–12, 2024) [10.1007/978-3-031-71167-1_14]. | 1-gen-2024 | Francesco ManigrassoLia Morra + | LTNsAsProbes (3).pdf; 978-3-031-71167-1_14.pdf |
| γ-Razor: Hardness-Aware Dataset Pruning for Efficient Neural Network Training / Liu, Lei; Zhang, Peng; Liang, Yunji; Liu, Junrui; Morra, Lia; Guo, Bin; Yu, Zhiwen; Zhang, Yanyong; Zeng, Daniel D.. - In: IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS. - ISSN 2329-924X. - (2024), pp. 1-15. [10.1109/tcss.2024.3453600] | 1-gen-2024 | Morra, Lia + | -Razor_Hardness-Aware_Dataset_Pruning_for_Efficient_Neural_Network_Training.pdf |
| AAPM Task Group Report 273: Recommendations on Best Practices for AI and Machine Learning for Computer-Aided Diagnosis in Medical Imaging / Hadjiiski, Lubomir; Cha, Kenny; Chan, Heang-Ping; Drukker, Karen; Morra, Lia; Näppi, Janne J.; Sahiner, Berkman; Yoshida, Hiroyuki; Chen, Quan; Deserno, Thomas M.; Greenspan, Hayit; Huisman, Henkjan; Huo, Zhimin; Mazurchuk, Richard; Petrick, Nicholas; Regge, Daniele; Samala, Ravi; Summers, Ronald M.; Suzuki, Kenji; Tourassi, Georgia; Vergara, Daniel; Armato III, Samuel G.. - In: MEDICAL PHYSICS. - ISSN 0094-2405. - 50:2(2023), pp. 1-24. [10.1002/mp.16188] | 1-gen-2023 | Lia Morra + | 22AAPMSR-1022-T2-FINALFILES_Article_File.pdf; Medical Physics - 2022 - Hadjiiski - AAPM task group report 273 Recommendations on best practices for AI and machine.pdf |
| Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification / Piano, Luca; Prattico', FILIPPO GABRIELE; Russo, ALESSANDRO SEBASTIAN; Lanari, Lorenzo; Morra, Lia; Lamberti, Fabrizio. - STAMPA. - (2023), pp. 4870-4880. (Intervento presentato al convegno IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023 tenutosi a Waikoloa (USA) nel 03/01/2023 - 07/01/2023) [10.1109/WACV56688.2023.00486]. | 1-gen-2023 | Luca PianoFilippo Gabriele PratticòAlessandro RussoLia MorraFabrizio Lamberti + | WACV_2023_DamagedBikes.pdf; Piano_Bent__Broken_Bicycles_Leveraging_Synthetic_Data_for_Damaged_Object_WACV_2023_paper.pdf; Bent_amp_Broken_Bicycles_Leveraging_synthetic_data_for_damaged_object_re-identification.pdf |
| Data Augmentation for medical imaging: a Systematic Literature Review / Garcea, Fabio; Serra, Alessio; Lamberti, Fabrizio; Morra, Lia. - In: COMPUTERS IN BIOLOGY AND MEDICINE. - ISSN 0010-4825. - STAMPA. - 152:(2023). [10.1016/j.compbiomed.2022.106391] | 1-gen-2023 | Fabio GarceaFabrizio LambertiLia Morra + | DA_Systematic_Literature_Postprint.pdf; 1-s2.0-S001048252201099X-main.pdf |
| Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment / Bianconi, Andrea; Rossi, Luca Francesco; Bonada, Marta; Zeppa, Pietro; Nico, Elsa; De Marco, Raffaele; Lacroce, Paola; Cofano, Fabio; Bruno, Francesco; Morana, Giovanni; Melcarne, Antonio; Ruda, Roberta; Mainardi, Luca; Fiaschi, Pietro; Garbossa, Diego; Morra, Lia. - In: BRAIN INFORMATICS. - ISSN 2198-4026. - 10:1(2023). [10.1186/s40708-023-00207-6] | 1-gen-2023 | Rossi, Luca FrancescoMorra, Lia + | s40708-023-00207-6.pdf |
| Designing Logic Tensor Networks for Visual Sudoku puzzle classification / Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; Delrio, Federico; DI GIACOMO, Giuseppe; Eiraudo, Simone; Ghione, Giorgia; Giudice, Rocco; Koudounas, Alkis; Piano, Luca; REGE CAMBRIN, Daniele; Risso, Matteo; Rondina, Marco; Russo, ALESSANDRO SEBASTIAN; Russo, Marco; Taioli, Francesco; Vaiani, Lorenzo; Vercellino, Chiara. - ELETTRONICO. - 3432:(2023), pp. 223-232. (Intervento presentato al convegno 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023) tenutosi a Certosa di Pontignano, Siena (Italia) nel July 3-5, 2023). | 1-gen-2023 | Lia MorraAlberto AzzariLetizia BergamascoMarco BragaLuigi CapogrossoFederico DelrioGiuseppe Di GiacomoSimone EiraudoGiorgia GhioneRocco GiudiceAlkis KoudounasLuca PianoDaniele Rege CambrinMatteo RissoMarco RondinaAlessandro RussoMarco RussoFrancesco TaioliLorenzo VaianiChiara Vercellino | NeSy_workshop_Visual_Sudoku.pdf; paper19.pdf |
| Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching / Manigrasso, Francesco; Morra, Lia; Lamberti, Fabrizio. - ELETTRONICO. - 14234:(2023), pp. 456-467. (Intervento presentato al convegno 22nd International Conference on IMAGE ANALYSIS AND PROCESSING (ICIAP 2023) tenutosi a Udine nel 11-15 settembre 2023) [10.1007/978-3-031-43153-1_38]. | 1-gen-2023 | Francesco ManigrassoLia MorraFabrizio Lamberti | Fuzzy_Logic_Visual_Network__FLVN___ICIAP_2023__15_Luglio_.pdf; 978-3-031-43153-1_38.pdf |
| HOLMES: HOLonym-MEronym based Semantic inspection for Convolutional Image Classifiers / Dibitonto, Francesco; Garcea, Fabio; Panisson, André; Perotti, Alan; Morra, Lia. - ELETTRONICO. - 1902:(2023), pp. 475-498. (Intervento presentato al convegno First World Conference on eXplainable Artificial Intelligence (xAI 2023) tenutosi a Lisbon (Portugal) nel July 26-28, 2023) [10.1007/978-3-031-44067-0_25]. | 1-gen-2023 | Francesco DibitontoFabio GarceaLia Morra + | HOLMES_XAI_WC_clean_source.pdf; 978-3-031-44067-0_25.pdf |