Archivio Istituzionale della RicercaBALESTRA, GABRIELLA
BALESTRA, GABRIELLA
Dipartimento di Elettronica e Telecomunicazioni
002054
A machine learning approach for stride speed estimation based on a head-mounted IMU
2023 Tasca, Paolo; Salis, Francesca; Rosati, Samanta; Balestra, Gabriella; Cereatti, Andrea
Feature Selection Based on a Genetic Algorithm for Optimizing Weaning Success
2023 Rosati, S.; Scotto, A.; Fanelli, V.; Balestra, G.
Usability of a multi-sensor array for the application of electro-phonocardiography in home care
2023 Giordano, N.; Balestra, G.; Rosati, S.; Knaflitz, M.
A fully automatic deep learning algorithm to segment Rectal Cancer on MR images: a multi-center study
2022 Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, Giuliana; Micilotta, Monica; Vassallo, Lorenzo; Gatti, Marco; Regge, Daniele; Balestra, Gabriella; Giannini, Valentina
Automatic Identification of the Best Auscultation Area for the Estimation of the Time of Closure of Heart Valves through Multi-Source Phonocardiography
2022 Giordano, Noemi; Balestra, Gabriella; Ghislieri, Marco; Knaflitz, Marco; Rosati, Samanta
Comparison of Hierarchical and Partitional Clustering in Multi-Source Phonocardiography
2022 Giordano, Noemi; Rosati, Samanta; Knaflitz, Marco; Balestra, Gabriella
Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images
2022 Panic, Jovana; Giannini, Valentina; Defeudis, Arianna; Regge, Daniele; Balestra, Gabriella; Rosati, Samanta
Key Aspects to Teach Medical Device Software Certification
2022 Giordano, Noemi; Rosati, Samanta; Knaflitz, Marco; Balestra, Gabriella
Comparison of different similarity measures in hierarchical clustering
2021 Vagni, Marica; Giordano, Noemi; Balestra, Gabriella; Rosati, Samanta
Decision Support System for target prostate biopsy outcome prediction: Clustering and FP-growth algorithm for fuzzy rules extraction
2021 Rosati, S.; Giordano, N.; Checchucci, E.; De Cillis, S.; Porpiglia, F.; Balestra, G.
Fuzzy logic algorithms artificial intelligence for target prostate biopsy: outcomes prediction study
2021 Checcucci, E; Rosati, S; De Cillis, St; Vagni, M; Giordano, N; Piana, A; Granato, S; Amparore, D; Alessio, P; Pecoraro, A; Piramide, F; Volpi, G; Sica, M; Zamengo, D; Manfredi, M; De Luca, S; Fiori, C; Balestra, G; Porpiglia, F
Influence of Gait Cycle Normalization on Principal Activations
2021 Dotti, Gregorio; Ghislieri, Marco; Rosati, Samanta; Agostini, Valentina; Knaflitz, Marco; Balestra, Gabriella
The Effect of Number of Gait Cycles on Principal Activation Extraction
2021 Dotti, G.; Ghislieri, M.; Rosati, S.; Agostini, V.; Knaflitz, M.; Balestra, G.
A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images
2020 Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, Giuliana; Vassallo, Lorenzo; Regge, Daniele; Balestra, Gabriella; Giannini, Valentina
A Machine Learning Approach for Muscle Activity Detection
2020 Ghislieri, M.; Pavanelli, E.; Rosati, S.; Balestra, G.; Knaflitz, M.; Agostini, V.
Agent-Based Modeling and Simulation of Care Delivery for Patients with Thrombotic and Bleeding Disorders
2020 Giordano, N.; Rosati, S.; Valeri, F.; Borchiellini, A.; Balestra, G.
An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images
2020 Giannini, Valentina; Defeudis, Arianna; Rosati, Samanta; Cappello, Giovanni; Mazzetti, Simone; Panic, Jovana; Regge, Daniele; Balestra, Gabriella
Comparison of different classifiers to recognize active bone marrow from CT images
2020 Rosati, S.; Franco, P.; Fiandra, C.; Arcadipane, F.; Silvetti, P.; Gallio, E.; Panic, J.; Ricardi, U.; Balestra, G.
Deep learning to segment liver metastases on CT images: Impact on a radiomics method to predict response to chemotherapy
2020 Giannini, V.; Defeudis, A.; Rosati, S.; Cappello, G.; Vassallo, L.; Mazzetti, S.; Panic, J.; Regge, D.; Balestra, G.
Human Activity Recognition through Wearable Sensors: a Deep Learning Approach
2020 Fortunato, D.; Ghislieri, M.; Rosati, S.; Balestra, G.; Knaflitz, M.; Agostini, V.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A machine learning approach for stride speed estimation based on a head-mounted IMU / Tasca, Paolo; Salis, Francesca; Rosati, Samanta; Balestra, Gabriella; Cereatti, Andrea. - ELETTRONICO. - (2023). (Intervento presentato al convegno Eighth National Congress of Bioengineering, GNB tenutosi a Padova; Italy nel 21 - 23 Giugno 2023). | 1-gen-2023 | Tasca, PaoloRosati, SamantaBalestra, GabriellaCereatti, Andrea + | GNB2023_reviewed_19_04_2023.pdf |
| Feature Selection Based on a Genetic Algorithm for Optimizing Weaning Success / Rosati, S.; Scotto, A.; Fanelli, V.; Balestra, G.. - 302:(2023), pp. 566-570. (Intervento presentato al convegno Medical Informatics Europe 2023 tenutosi a Gothenburg (Sweden) nel 22-25 May 2023) [10.3233/SHTI230206]. | 1-gen-2023 | Rosati S.Scotto A.Balestra G. + | 2023_MIE_Feature Selection Based on a Genetic Algorithm for Optimizing Weaning Success.pdf |
| Usability of a multi-sensor array for the application of electro-phonocardiography in home care / Giordano, N.; Balestra, G.; Rosati, S.; Knaflitz, M.. - ELETTRONICO. - (2023). (Intervento presentato al convegno 8th National Congress of Bioengineering, GNB 2023 tenutosi a Padova (Italy) nel 2023). | 1-gen-2023 | Giordano N.Balestra G.Rosati S.Knaflitz M. | GNB23_FINAL_v02.pdf |
| A fully automatic deep learning algorithm to segment Rectal Cancer on MR images: a multi-center study / Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, Giuliana; Micilotta, Monica; Vassallo, Lorenzo; Gatti, Marco; Regge, Daniele; Balestra, Gabriella; Giannini, Valentina. - ELETTRONICO. - (2022), pp. 5066-5069. (Intervento presentato al convegno 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22) tenutosi a Glasgow, United Kingdom nel 11-15 July, 2022) [10.1109/EMBC48229.2022.9871326]. | 1-gen-2022 | Jovana PanicSamanta RosatiGabriella BalestraValentina Giannini + | Manusctipt_DEF_2022_FINAL.pdf; A_fully_automatic_deep_learning_algorithm_to_segment_rectal_Cancer_on_MR_images_a_multi-center_study.pdf |
| Automatic Identification of the Best Auscultation Area for the Estimation of the Time of Closure of Heart Valves through Multi-Source Phonocardiography / Giordano, Noemi; Balestra, Gabriella; Ghislieri, Marco; Knaflitz, Marco; Rosati, Samanta. - In: COMPUTING IN CARDIOLOGY. - ISSN 2325-887X. - ELETTRONICO. - 49:(2022), pp. 1-4. (Intervento presentato al convegno Computing in Cardiology tenutosi a Tampere, Finland nel 04-07 September 2022) [10.22489/CinC.2022.088]. | 1-gen-2022 | Noemi GiordanoGabriella BalestraMarco GhislieriMarco KnaflitzSamanta Rosati | CinC Full Paper FINAL.pdf; Giordano-Automatic.pdf |
| Comparison of Hierarchical and Partitional Clustering in Multi-Source Phonocardiography / Giordano, Noemi; Rosati, Samanta; Knaflitz, Marco; Balestra, Gabriella. - ELETTRONICO. - (2022), pp. 1-6. (Intervento presentato al convegno 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) tenutosi a Giardini Naxos - Taormina, Italy nel 22-24 June 2022) [10.1109/MeMeA54994.2022.9856547]. | 1-gen-2022 | Giordano, NoemiRosati, SamantaKnaflitz, MarcoBalestra, Gabriella | Comparison_of_Hierarchical_and_Partitional_Clustering_in_Multi-Source_Phonocardiography.pdf; 1570790155 final.pdf |
| Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images / Panic, Jovana; Giannini, Valentina; Defeudis, Arianna; Regge, Daniele; Balestra, Gabriella; Rosati, Samanta. - ELETTRONICO. - (2022), pp. 1-6. (Intervento presentato al convegno 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) tenutosi a Giardini Naxos - Taormina, Italy nel 22-24 June, 2022) [10.1109/MeMeA54994.2022.9856529]. | 1-gen-2022 | Jovana PanicValentina GianniniGabriella BalestraSamanta Rosati + | FinalManuscript.pdf; Rosati-Impact.pdf |
| Key Aspects to Teach Medical Device Software Certification / Giordano, Noemi; Rosati, Samanta; Knaflitz, Marco; Balestra, Gabriella. - ELETTRONICO. - (2022), pp. 159-160. (Intervento presentato al convegno EFMI Special Topic Conference 2022 tenutosi a Cardiff, Wales nel 7-8 September 2022) [10.3233/SHTI220928]. | 1-gen-2022 | Giordano, NoemiRosati, SamantaKnaflitz, MarcoBalestra, Gabriella | SHTI-298-SHTI220928.pdf |
| Comparison of different similarity measures in hierarchical clustering / Vagni, Marica; Giordano, Noemi; Balestra, Gabriella; Rosati, Samanta. - ELETTRONICO. - (2021), pp. 1-6. (Intervento presentato al convegno 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) tenutosi a Lausanne, Switzerland nel 23-25 June 2021) [10.1109/MeMeA52024.2021.9478746]. | 1-gen-2021 | Giordano, NoemiBalestra, GabriellaRosati, Samanta + | Comparison_of_different_similarity_measures_in_hierarchical_clustering.pdf; v2.pdf |
| Decision Support System for target prostate biopsy outcome prediction: Clustering and FP-growth algorithm for fuzzy rules extraction / Rosati, S.; Giordano, N.; Checchucci, E.; De Cillis, S.; Porpiglia, F.; Balestra, G.. - ELETTRONICO. - 3060:(2021), pp. 85-90. (Intervento presentato al convegno 2021 Workshop on Towards Smarter Health Care: Can Artificial Intelligence Help?, SMARTERCARE 2021 tenutosi a Milan, Italy nel November 29th, 2021). | 1-gen-2021 | Rosati S.Giordano N.Balestra G. + | 2021_Rosati_AIxIA_Smartercare.pdf |
| Fuzzy logic algorithms artificial intelligence for target prostate biopsy: outcomes prediction study / Checcucci, E; Rosati, S; De Cillis, St; Vagni, M; Giordano, N; Piana, A; Granato, S; Amparore, D; Alessio, P; Pecoraro, A; Piramide, F; Volpi, G; Sica, M; Zamengo, D; Manfredi, M; De Luca, S; Fiori, C; Balestra, G; Porpiglia, F. - In: THE JOURNAL OF UROLOGY. - ISSN 0022-5347. - ELETTRONICO. - 206:(2021), pp. E462-E462. (Intervento presentato al convegno AUA ANNUAL MEETING 2021 tenutosi a Virtual conference nel 10-13 september 2021) [10.1097/JU.0000000000002023.01]. | 1-gen-2021 | Rosati, SGiordano, NBalestra, G + | JU.0000000000002023.01.pdf |
| Influence of Gait Cycle Normalization on Principal Activations / Dotti, Gregorio; Ghislieri, Marco; Rosati, Samanta; Agostini, Valentina; Knaflitz, Marco; Balestra, Gabriella. - ELETTRONICO. - (2021), pp. 1-5. (Intervento presentato al convegno 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA) tenutosi a Neuchâtel, Switzerland nel June 23rd to 25th, 2021) [10.1109/MeMeA52024.2021.9478738]. | 1-gen-2021 | Dotti, GregorioGhislieri, MarcoRosati, SamantaAgostini, ValentinaKnaflitz, MarcoBalestra, Gabriella | 09478738.pdf; 1570706375.pdf |
| The Effect of Number of Gait Cycles on Principal Activation Extraction / Dotti, G.; Ghislieri, M.; Rosati, S.; Agostini, V.; Knaflitz, M.; Balestra, G.. - ELETTRONICO. - (2021), pp. 985-988. (Intervento presentato al convegno 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) tenutosi a Mexico nel 1-5 Nov. 2021) [10.1109/EMBC46164.2021.9629818]. | 1-gen-2021 | Dotti, G.Ghislieri, M.Rosati, S.Agostini, V.Knaflitz, M.Balestra, G. | The_Effect_of_Number_of_Gait_Cycles_on_Principal_Activation_Extraction.pdf; EMBC21_NumberGaitCycles_CIMAP.pdf |
| A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images / Panic, Jovana; Defeudis, Arianna; Mazzetti, Simone; Rosati, Samanta; Giannetto, Giuliana; Vassallo, Lorenzo; Regge, Daniele; Balestra, Gabriella; Giannini, Valentina. - ELETTRONICO. - (2020), pp. 1675-1678. (Intervento presentato al convegno 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) tenutosi a Montreal, QC, Canada nel 20-24 July 2020) [10.1109/EMBC44109.2020.9175804]. | 1-gen-2020 | Panic, JovanaRosati, SamantaBalestra, GabriellaGiannini, Valentina + | Panic_EMBC2020.pdf; 09175804.pdf |
| A Machine Learning Approach for Muscle Activity Detection / Ghislieri, M.; Pavanelli, E.; Rosati, S.; Balestra, G.; Knaflitz, M.; Agostini, V.. - ELETTRONICO. - (2020), pp. 123-126. (Intervento presentato al convegno 7th National Congress of Bioengineering, GNB 2020 tenutosi a Trieste, Italy nel 9-11 June 2020). | 1-gen-2020 | Ghislieri M.Rosati S.Balestra G.Knaflitz M.Agostini V. + | GNB_MachineLearnigMuscleActivityDetection_Revised.pdf |
| Agent-Based Modeling and Simulation of Care Delivery for Patients with Thrombotic and Bleeding Disorders / Giordano, N.; Rosati, S.; Valeri, F.; Borchiellini, A.; Balestra, G.. - ELETTRONICO. - 270:(2020), pp. 1193-1194. (Intervento presentato al convegno MIE 2020) [10.3233/SHTI200358]. | 1-gen-2020 | Giordano N.Rosati S.Balestra G. + | Balestra-agen-based.pdf |
| An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images / Giannini, Valentina; Defeudis, Arianna; Rosati, Samanta; Cappello, Giovanni; Mazzetti, Simone; Panic, Jovana; Regge, Daniele; Balestra, Gabriella. - ELETTRONICO. - (2020), pp. 1339-1342. (Intervento presentato al convegno 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) tenutosi a Montreal, QC, Canada nel 20-24 July 2020) [10.1109/EMBC44109.2020.9176627]. | 1-gen-2020 | Giannini, ValentinaRosati, SamantaPanic, JovanaBalestra, Gabriella + | Giannini_EMBC2020_final.pdf; 09176627.pdf |
| Comparison of different classifiers to recognize active bone marrow from CT images / Rosati, S.; Franco, P.; Fiandra, C.; Arcadipane, F.; Silvetti, P.; Gallio, E.; Panic, J.; Ricardi, U.; Balestra, G.. - ELETTRONICO. - (2020), pp. 1-5. (Intervento presentato al convegno 15th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2020 tenutosi a Bari (Italy) nel 1 June-1 July 2020) [10.1109/MeMeA49120.2020.9137173]. | 1-gen-2020 | Rosati S.Panic J.Balestra G. + | bone marrow classifiers final.pdf; 09137173.pdf |
| Deep learning to segment liver metastases on CT images: Impact on a radiomics method to predict response to chemotherapy / Giannini, V.; Defeudis, A.; Rosati, S.; Cappello, G.; Vassallo, L.; Mazzetti, S.; Panic, J.; Regge, D.; Balestra, G.. - ELETTRONICO. - (2020), pp. 1-5. (Intervento presentato al convegno 15th IEEE International Symposium on Medical Measurements and Applications, MeMeA 2020 tenutosi a Bari (Italy) nel 1 June-1 July 2020) [10.1109/MeMeA49120.2020.9137150]. | 1-gen-2020 | Giannini V.Rosati S.Panic J.Balestra G. + | Giannini_Memea2020_final.pdf; 09137150.pdf |
| Human Activity Recognition through Wearable Sensors: a Deep Learning Approach / Fortunato, D.; Ghislieri, M.; Rosati, S.; Balestra, G.; Knaflitz, M.; Agostini, V.. - ELETTRONICO. - (2020), pp. 368-371. (Intervento presentato al convegno 7th National Congress of Bioengineering, GNB 2020 tenutosi a Trieste, Italy nel 9-11 June 2020). | 1-gen-2020 | Fortunato D.Ghislieri M.Rosati S.Balestra G.Knaflitz M.Agostini V. | GNB2020_HARDeepLearning_Revised.pdf |