Archivio Istituzionale della RicercaMORRA, LIA
MORRA, LIA
Dipartimento di Automatica e Informatica
012819
Anomaly detection and localization with state-of-the-art deep learning models to support quality inspection in car manufacturing
2026 Manigrasso, Francesco; Calandra, Davide; Morra, Lia; Lamberti, Fabrizio
Boosting zero-shot learning through neuro-symbolic integration
2026 Manigrasso, Francesco; Lamberti, Fabrizio; Morra, Lia
Neuro-Symbolic AI in Computer Vision: Toward More Interpretable, Efficient, Generalized, and Logical Visual Understanding Systems
2026 Russo, Alessandro; Morra, Lia; Lamberti, Fabrizio
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
Self-supervised pretraining and quantization for fault tolerant neural networks: friend or foe?
2025 Milazzo, Rosario; Fosson, Sophie M.; Morra, Lia; Sterpone, Luca
γ-Razor: Hardness-Aware Dataset Pruning for Efficient Neural Network Training
2025 Liu, Lei; Zhang, Peng; Liang, Yunji; Liu, Junrui; Morra, Lia; Guo, Bin; Yu, Zhiwen; Zhang, Yanyong; Zeng, Daniel D.
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
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
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.
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
MIXO: Mixture of experts-based visual odometry for multicamera autonomous systems
2023 Morra, Lia; Biondo, Andrea; Poerio, Nicola; Lamberti, Fabrizio
Using Temporal Convolutional Networks to estimate ball possession in soccer games
2023 Borghesi, Matteo; Lorenzo D., Costa; Morra, Lia; Lamberti, Fabrizio
A randomised controlled trial of Digital Breast Tomosynthesis versus Digital Mammography as primary screening tests: screening results over subsequent episodes of the Proteus Donna study
2022 Armaroli, Paola; Frigerio, Alfonso; Correale, Loredana; Ponti, Antonio; Artuso, Franca; Casella, Denise; Falco, Paolo; Favettini, Elisabetta; Fonio, Paolo; Giordano, Livia; Marra, Vincenzo; Milanesio, Luisella; Morra, Lia; Presti, Pietro; Riggi, Emilia; Vergini, Viviana; Segnan, Nereo
Comparing algorithms for aggressive driving event detection based on vehicle motion data
2022 Gatteschi, Valentina; Cannavò, Alberto; Lamberti, Fabrizio; Morra, Lia; Montuschi, Paolo
Detecting drift in deep learning: A methodology primer
2022 Piano, Luca; Garcea, Fabio; Gatteschi, Valentina; Lamberti, Fabrizio; Morra, Lia
Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing
2022 Ardito, Luca; Bottino, Andrea; Coppola, Riccardo; Lamberti, Fabrizio; Manigrasso, Francesco; Morra, Lia; Torchiano, Marco
Self-supervised and semi-supervised learning for road condition estimation from distributed road-side cameras
2022 Garcea, Fabio; Blanco, Giacomo; Croci, Alberto; Lamberti, Fabrizio; Mamone, Riccardo; Ricupero, Ruben; Morra, Lia; Allamano, Paola
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Anomaly detection and localization with state-of-the-art deep learning models to support quality inspection in car manufacturing / Manigrasso, F., Calandra, D., Morra, L., Lamberti, F.. - In: ENGINEERING REPORTS. - ISSN 2577-8196. - ELETTRONICO. - 8:3(2026). [10.1002/eng2.70652] | 1-gen-2026 | Manigrasso, FrancescoCalandra, DavideMorra, LiaLamberti, Fabrizio | Engineering Reports - 2026 - Manigrasso - Anomaly Detection and Localization With State‐of‐the‐Art Deep Learning Models to.pdf |
| Boosting zero-shot learning through neuro-symbolic integration / Manigrasso, F., Lamberti, F., Morra, L.. - In: PATTERN RECOGNITION. - ISSN 0031-3203. - 170:(2026). [10.1016/j.patcog.2025.111869] | 1-gen-2026 | Manigrasso, FrancescoLamberti, FabrizioMorra, Lia | 1-s2.0-S0031320325005291-main.pdf |
| Neuro-Symbolic AI in Computer Vision: Toward More Interpretable, Efficient, Generalized, and Logical Visual Understanding Systems / Russo, A., Morra, L., Lamberti, F.. - In: IT PROFESSIONAL. - ISSN 1520-9202. - ELETTRONICO. - 28:1(2026), pp. 26-34. [10.1109/MITP.2025.3627196] | 1-gen-2026 | Alessandro RussoLia MorraFabrizio Lamberti | IT_Professional___Tracked_changes (1).pdf; Neurosymbolic_AI_in_Computer_Vision_Toward_More_Interpretable_Efficient_Generalized_and_Logical_Visual_Understanding_Systems.pdf |
| Mammography classification with multi-view deep learning techniques: investigating graph and transformer-based architectures / Manigrasso, F., Milazzo, R., Russo, A., Lamberti, F., Strand, F., Pagnani, A., Morra, L.. - 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 |
| Self-supervised pretraining and quantization for fault tolerant neural networks: friend or foe? / Milazzo, R., Fosson, S.M., Morra, L., Sterpone, L.. - In: IEEE ACCESS. - ISSN 2169-3536. - 13:(2025), pp. 75546-75562. [10.1109/access.2025.3564834] | 1-gen-2025 | Milazzo, RosarioFosson, Sophie M.Morra, LiaSterpone, Luca | Self-Supervised_Pretraining_and_Quantization_for_Fault_Tolerant_Neural_Networks_Friend_or_Foe.pdf |
| γ-Razor: Hardness-Aware Dataset Pruning for Efficient Neural Network Training / Liu, L., Zhang, P., Liang, Y., Liu, J., Morra, L., Guo, B., Yu, Z., Zhang, Y., Zeng, D.D.. - In: IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS. - ISSN 2329-924X. - 12:3(2025), pp. 957-971. [10.1109/tcss.2024.3453600] | 1-gen-2025 | Morra, Lia + | -Razor_Hardness-Aware_Dataset_Pruning_for_Efficient_Neural_Network_Training.pdf; gamma-Razor_Hardness-Aware_Dataset_Pruning_for_Efficient_Neural_Network_Training.pdf |
| Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing / Mahmood, U., Shukla-Dave, A., Chan, H., Drukker, K., Samala, R.K., Chen, Q., Vergara, D., Greenspan, H., Petrick, N., Sahiner, B., Huo, Z., Summers, R.M., Cha, K.H., Tourassi, G., Deserno, T.M., Grizzard, K.T., Näppi, J.J., Yoshida, H., Regge, D., Mazurchuk, R., et al.. - 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, V., Samuel G., A., Lubomir, H., Karen, D., Cha, K., Chan, H., Morra, L., J Näppi, J., Sahiner, B., Yoshida, H., Chen, Q., M Deserno, T., Greenspan, H., Huisman, H., Huo, Z., Mazurchuk, R., Petrick, N., Regge, D., Samala, R., M Summers, R., et al.. - 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, L., Garcea, F., Cavallone, A., Aparicio Vazquez, I., Morra, L., Lamberti, F.. - 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 |
| For a semiotic AI: Bridging computer vision and visual semiotics for computational observation of large scale facial image archives / Morra, L., Santangelo, A., Basci, P., Piano, L., Garcea, F., Lamberti, F., Leone, M.. - 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 |
| AAPM Task Group Report 273: Recommendations on Best Practices for AI and Machine Learning for Computer-Aided Diagnosis in Medical Imaging / Hadjiiski, L., Cha, K., Chan, H., Drukker, K., Morra, L., Näppi, J.J., Sahiner, B., Yoshida, H., Chen, Q., Deserno, T.M., Greenspan, H., Huisman, H., Huo, Z., Mazurchuk, R., Petrick, N., Regge, D., Samala, R., Summers, R.M., Suzuki, K., Tourassi, G., et al.. - 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 |
| Data Augmentation for medical imaging: a Systematic Literature Review / Garcea, F., Serra, A., Lamberti, F., Morra, L.. - 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, A., Rossi, L.F., Bonada, M., Zeppa, P., Nico, E., De Marco, R., Lacroce, P., Cofano, F., Bruno, F., Morana, G., Melcarne, A., Ruda, R., Mainardi, L., Fiaschi, P., Garbossa, D., Morra, L.. - In: BRAIN INFORMATICS. - ISSN 2198-4026. - 10:1(2023). [10.1186/s40708-023-00207-6] | 1-gen-2023 | Rossi, Luca FrancescoDe Marco, RaffaeleMorra, Lia + | s40708-023-00207-6.pdf |
| MIXO: Mixture of experts-based visual odometry for multicamera autonomous systems / Morra, L., Biondo, A., Poerio, N., Lamberti, F.. - In: IEEE TRANSACTIONS ON CONSUMER ELECTRONICS. - ISSN 0098-3063. - STAMPA. - 69:3(2023), pp. 261-270. [10.1109/TCE.2023.3238655] | 1-gen-2023 | Lia MorraFabrizio Lamberti + | MIXO_TCE_Final.pdf; MIXO_Mixture_Of_Experts-Based_Visual_Odometry_for_Multicamera_Autonomous_Systems.pdf |
| Using Temporal Convolutional Networks to estimate ball possession in soccer games / Borghesi, M., Lorenzo D., C., Morra, L., Lamberti, F.. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - STAMPA. - 223:(2023). [10.1016/j.eswa.2023.119780] | 1-gen-2023 | Morra, LiaLamberti, Fabrizio + | eswa_tcn_authors_accepted_version.pdf; 1-s2.0-S0957417423002816-main.pdf |
| A randomised controlled trial of Digital Breast Tomosynthesis versus Digital Mammography as primary screening tests: screening results over subsequent episodes of the Proteus Donna study / Armaroli, P., Frigerio, A., Correale, L., Ponti, A., Artuso, F., Casella, D., Falco, P., Favettini, E., Fonio, P., Giordano, L., Marra, V., Milanesio, L., Morra, L., Presti, P., Riggi, E., Vergini, V., Segnan, N.. - In: INTERNATIONAL JOURNAL OF CANCER. - ISSN 0020-7136. - STAMPA. - 151:10(2022), pp. 1778-1790. [10.1002/ijc.34161] | 1-gen-2022 | Morra, Lia + | 17430695.pdf; Intl Journal of Cancer - 2022 -A randomised controlled trial of digital breast tomosynthesis vs digital.pdf |
| Comparing algorithms for aggressive driving event detection based on vehicle motion data / Gatteschi, V., Cannavò, A., Lamberti, F., Morra, L., Montuschi, P.. - In: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. - ISSN 0018-9545. - STAMPA. - 71:1(2022), pp. 53-68. [10.1109/TVT.2021.3122197] | 1-gen-2022 | Gatteschi, ValentinaCannavò, AlbertoLamberti, FabrizioMorra, LiaMontuschi, Paolo | final_manuscript.pdf; Comparing_Algorithms_for_Aggressive_Driving_Event_Detection_Based_on_Vehicle_Motion_Data.pdf |
| Detecting drift in deep learning: A methodology primer / Piano, L., Garcea, F., Gatteschi, V., Lamberti, F., Morra, L.. - In: IT PROFESSIONAL. - ISSN 1520-9202. - 24:5(2022), pp. 53-60. [10.1109/MITP.2022.3191318] | 1-gen-2022 | Piano, LucaGarcea, FabioGatteschi, ValentinaLamberti, FabrizioMorra, Lia | ITPro_Drift_Detection_Last.pdf; Piano_Detecting_Drift_in_Deep_Learning_A_Methodology_Primer.pdf |
| Feature Matching-based Approaches to Improve the Robustness of Android Visual GUI Testing / Ardito, L., Bottino, A., Coppola, R., Lamberti, F., Manigrasso, F., Morra, L., Torchiano, M.. - In: ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY. - ISSN 1049-331X. - 31:2(2022), pp. 1-32. [10.1145/3477427] | 1-gen-2022 | Ardito, LucaBottino, AndreaCoppola, RiccardoLamberti, FabrizioManigrasso, FrancescoMorra, LiaTorchiano, Marco | Feature-Matching.pdf; 2021_Ardito_TOSEM_FeatureMatching.pdf |
| Self-supervised and semi-supervised learning for road condition estimation from distributed road-side cameras / Garcea, F., Blanco, G., Croci, A., Lamberti, F., Mamone, R., Ricupero, R., Morra, L., Allamano, P.. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - STAMPA. - 12:(2022). [10.1038/s41598-022-26180-4] | 1-gen-2022 | Fabio GarceaGiacomo BlancoAlberto CrociFabrizio LambertiRuben RicuperoLia MorraPaola Allamano + | Waterview___Scientific_Reports_R2.pdf; s41598-022-26180-4.pdf |