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
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
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
AI-enhanced diagnosis of challenging lesions in breast MRI: a methodology and application primer
2021 Meyer-Base, Anke; Morra, Lia; Lobbes, Marc; Meyer-Base, Uwe; Pinker, Katja
Breast mass detection with faster R-CNN: On the feasibility of learning from noisy annotations
2021 Famouri, Sina; Morra, Lia; Mangia, Leonardo; Lamberti, Fabrizio
Comparing state-of-the-art and emerging augmented reality interfaces for autonomous vehicle-to-pedestrian communication
2021 Pratticò, Filippo Gabriele; Lamberti, Fabrizio; Cannavò, Alberto; Morra, Lia; Montuschi, Paolo
Guest Editorial: Special Section on New Frontiers in Computing for Next-Generation Healthcare Systems
2021 Morra, Lia; Gatteschi, Valentina; Mohanty, SARAJU P.; Chang, YUAN-HAO
Stress detection in computer users from keyboard and mouse dynamics
2021 Pepa, Lucia; Sabatelli, Antonio; Ciabattoni, Lucio; Monteriù, Andrea; Lamberti, Fabrizio; Morra, Lia
An automatic computer vision pipeline for the in-line monitoring of freeze-drying processes
2020 Colucci, Domenico; Morra, Lia; Zhang, Xiaoyang; Fissore, Davide; Lamberti, Fabrizio
| 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 |
| 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 |
| 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 |
| 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 |
| MIXO: Mixture of experts-based visual odometry for multicamera autonomous systems / Morra, Lia; Biondo, Andrea; Poerio, Nicola; Lamberti, Fabrizio. - 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, Matteo; Lorenzo D., Costa; Morra, Lia; Lamberti, Fabrizio. - 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, 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. - 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, Valentina; Cannavò, Alberto; Lamberti, Fabrizio; Morra, Lia; Montuschi, Paolo. - 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, Luca; Garcea, Fabio; Gatteschi, Valentina; Lamberti, Fabrizio; Morra, Lia. - 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, Luca; Bottino, Andrea; Coppola, Riccardo; Lamberti, Fabrizio; Manigrasso, Francesco; Morra, Lia; Torchiano, Marco. - 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, Fabio; Blanco, Giacomo; Croci, Alberto; Lamberti, Fabrizio; Mamone, Riccardo; Ricupero, Ruben; Morra, Lia; Allamano, Paola. - 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 |
| AI-enhanced diagnosis of challenging lesions in breast MRI: a methodology and application primer / Meyer-Base, Anke; Morra, Lia; Lobbes, Marc; Meyer-Base, Uwe; Pinker, Katja. - In: JOURNAL OF MAGNETIC RESONANCE IMAGING. - ISSN 1053-1807. - STAMPA. - 54:3(2021), pp. 686-702. [10.1002/jmri.27332] | 1-gen-2021 | Lia Morra + | Magnetic Resonance Imaging - 2020 - Meyer‐Base - AI‐Enhanced Diagnosis of Challenging Lesions in Breast MRI A Methodology.pdf |
| Breast mass detection with faster R-CNN: On the feasibility of learning from noisy annotations / Famouri, Sina; Morra, Lia; Mangia, Leonardo; Lamberti, Fabrizio. - In: IEEE ACCESS. - ISSN 2169-3536. - STAMPA. - 9:(2021), pp. 66163-66175. [10.1109/ACCESS.2021.3072997] | 1-gen-2021 | Famouri, SinaMorra, LiaLamberti, Fabrizio + | 09402744.pdf |
| Comparing state-of-the-art and emerging augmented reality interfaces for autonomous vehicle-to-pedestrian communication / Pratticò, Filippo Gabriele; Lamberti, Fabrizio; Cannavò, Alberto; Morra, Lia; Montuschi, Paolo. - In: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. - ISSN 0018-9545. - STAMPA. - 70:2(2021), pp. 1157-1168. [10.1109/TVT.2021.3054312] | 1-gen-2021 | Pratticò, Filippo GabrieleLamberti, FabrizioCannavò, AlbertoMorra, LiaMontuschi, Paolo | manuscript_final.pdf; 09335478.pdf |
| Guest Editorial: Special Section on New Frontiers in Computing for Next-Generation Healthcare Systems / Morra, Lia; Gatteschi, Valentina; Mohanty, SARAJU P.; Chang, YUAN-HAO. - In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING. - ISSN 2168-6750. - STAMPA. - 9:3(2021), pp. 1106-1108. [10.1109/TETC.2021.3097673] | 1-gen-2021 | LIA MORRAVALENTINA GATTESCHI + | Guest_Editorial_Special_Section_on_New_Frontiers_in_Computing_for_Next-Generation_Healthcare_Systems.pdf |
| Stress detection in computer users from keyboard and mouse dynamics / Pepa, Lucia; Sabatelli, Antonio; Ciabattoni, Lucio; Monteriù, Andrea; Lamberti, Fabrizio; Morra, Lia. - In: IEEE TRANSACTIONS ON CONSUMER ELECTRONICS. - ISSN 0098-3063. - STAMPA. - 67:1(2021), pp. 12-19. [10.1109/TCE.2020.3045228] | 1-gen-2021 | Lamberti, FabrizioMorra, Lia + | TCE_SI_CSH_accepted.pdf; TCE_SI_CSH_accepted_black.pdf; redownloaded.pdf |
| An automatic computer vision pipeline for the in-line monitoring of freeze-drying processes / Colucci, Domenico; Morra, Lia; Zhang, Xiaoyang; Fissore, Davide; Lamberti, Fabrizio. - In: COMPUTERS IN INDUSTRY. - ISSN 0166-3615. - STAMPA. - 115:Article 103184(2020), pp. 1-12. [10.1016/j.compind.2019.103184] | 1-gen-2020 | Domenico ColucciLia MorraDavide FissoreFabrizio Lamberti + | 90.CI_2020_vol115.pdf; 90.CI_2020_vol115.pdf |