Archivio Istituzionale della RicercaSfoglia per Autore
Method and system for detecting voluntary binary responses by analyzing the pupil diameter of a subject
2017 Roatta, S; De'Sperati, C; Mesin, L; Paisan, V; Ponzio, F
A multi-modal brain image registration framework for US-guided neuronavigation systems. Integrating MR and US for minimally invasive neuroimaging.
2017 Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; DI CATALDO, Santa
Low-cost pupillometry for human-computer interface.
2018 Goddi, A; Ponzio, F; Ficarra, E; di Cataldo, S; Roatta, S.
Colorectal Cancer Classification using Deep Convolutional Networks. An Experimental Study
2018 Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; DI CATALDO, Santa
Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology
2019 Ponzio, Francesco; Urgese, Gianvito; Ficarra, Elisa; DI CATALDO, Santa
Going Deeper into Colorectal Cancer Histopathology
2019 Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; DI CATALDO, Santa
A human-computer interface based on the “voluntary” pupil accommodative response.
2019 Ponzio, Francesco; Villalobos, Andres Eduardo Lorenzo; Mesin, Luca; De'Sperati, Claudio; Roatta, Silvestro
A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images
2020 Mascolini, Alessio; Puzzo, S.; Incatasciato, G.; Ponzio, F.; Ficarra, E.; Di Cataldo, S.
Exploiting "uncertain" deep networks for data cleaning in digital pathology
2020 Ponzio, Francesco; Deodato, Giacomo; Macii, Enrico; DI CATALDO, Santa; Ficarra, Elisa
A Bayesian approach to Expert Gate Incremental Learning
2021 Mieuli, Valerio; Ponzio, Francesco; Mascolini, Alessio; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa
Deep learning at the microscope - Working towards improved microscopy image analysis with deep neural networks
2021 Ponzio, Francesco
A Machine Learning Approach to Support Treatment Identification for Chiari I Malformation
2022 Mesin, Luca; Ponzio, Francesco; Francesco Carlino, Christian; Lenge, Matteo; Noris, Alice; Carmela Leo, Maria; Sica, Michela; Mcgreevy, Kathleen; Leila Ahngar Fabrik, Erica; Giordano, Flavio
e-Pupil: IoT-based Augmentative and Alternative Communication device exploiting the pupillary near-reflex
2022 Chiarion, Giovanni; Ponzio, Francesco; Terna, Stefano; Moglia, Cristina; Patti, Edoardo; DI CATALDO, Santa; Roatta, Silvestro
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations
2022 Mascolini, Alessio; Cardamone, Dario; Ponzio, Francesco; Di Cataldo, Santa; Ficarra, Elisa
High Resolution Explanation Maps for CNNs using Segmentation Networks
2022 Mascolini, Alessio; Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa
Improving CNNs classification with pathologist-based expertise: the renal cell carcinoma case study
2023 Ponzio, Francesco; Descombes, Xavier; Ambrosetti, Damien
W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality
2023 Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa
Robotic Arm Dataset (RoAD): a Dataset to Support the Design and Test of Machine Learning-driven Anomaly Detection in a Production Line
2023 Mascolini, Alessio; Gaiardelli, Sebastiano; Ponzio, Francesco; Dall’Ora, Nicola; Macii, Enrico; Vinco, Sara; DI CATALDO, Santa; Fummi, Franco
Cigarette Smoking and Intracranial Aneurysms: A Pilot Analysis of SNPs in the CYP2A6 Gene in the Italian Population
2023 Ferrari, Erika; Cornali, Claudio; Fiorindi, Alessandro; Agosti, Edoardo; Gallone, Salvatore; Rubino, Elisa; Ponzio, Francesco; Fontanella, Marco Maria; De Maria, Lucio
Detection of Inferior Vena Cava in Ultrasound Scans through a Deep Learning Model
2023 Policastro, Piero; Chiarion, Giovanni; Ponzio, Francesco; Ermini, Leonardo; Civera, Stefania; Albani, Stefano; Musumeci, Giuseppe; Roatta, Silvestro; Mesin, Luca
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Method and system for detecting voluntary binary responses by analyzing the pupil diameter of a subject / Roatta, S; De'Sperati, C; Mesin, L; Paisan, V; Ponzio, F. - (2017). | 1-gen-2017 | Mesin LPonzio F + | WO2019097384A1.pdf; US20200390577A1.pdf |
| A multi-modal brain image registration framework for US-guided neuronavigation systems. Integrating MR and US for minimally invasive neuroimaging / Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; DI CATALDO, Santa. - ELETTRONICO. - 2:(2017), pp. 114-121. (Intervento presentato al convegno 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) tenutosi a Porto, Portugal nel 21-23 February 2017) [10.5220/0006239201140121]. | 1-gen-2017 | PONZIO, FRANCESCOMACII, EnricoFICARRA, ELISADI CATALDO, SANTA | BIOIMAGING_2017_20.pdf; biostec_2017 (2).pdf |
| Low-cost pupillometry for human-computer interface / Goddi, A; Ponzio, F; Ficarra, E; di Cataldo, S; Roatta, S.. - (2018). (Intervento presentato al convegno Convegno Le Tecnologie Assistive nell'Età Adulta: realtà europee e nuovi approcci riabilitativi, un tema multidisciplinare. tenutosi a Torino nel 13-14 Aprile 2018). | 1-gen-2018 | Ponzio FFicarra Edi Cataldo S + | - |
| Colorectal Cancer Classification using Deep Convolutional Networks. An Experimental Study / Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; DI CATALDO, Santa. - ELETTRONICO. - 2:(2018), pp. 58-66. (Intervento presentato al convegno 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOIMAGING 2018) tenutosi a Funchal Madeira, Portugal nel 19-21 January 2018) [10.5220/0006643100580066]. | 1-gen-2018 | Francesco PonzioEnrico MaciiElisa FicarraSanta Di Cataldo | BIOIMAGING_2018_29.pdf; biostec_2018 (3).pdf |
| Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology / Ponzio, Francesco; Urgese, Gianvito; Ficarra, Elisa; DI CATALDO, Santa. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 8:3(2019). [10.3390/electronics8030256] | 1-gen-2019 | Francesco PonzioGianvito UrgeseElisa FicarraSanta Di Cataldo | electronics-08-00256.pdf |
| Going Deeper into Colorectal Cancer Histopathology / Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; DI CATALDO, Santa. - ELETTRONICO. - 1024:(2019), pp. 114-131. (Intervento presentato al convegno BIOIMAGING 2018) [10.1007/978-3-030-29196-9_7]. | 1-gen-2019 | Ponzio FrancescoMacii EnricoFicarra ElisaDi Cataldo Santa | Biostec2018_SPRINGER (1)-compresso.pdf; 10.1007_978-3-030-29196-9_selected.pdf |
| A human-computer interface based on the “voluntary” pupil accommodative response / Ponzio, Francesco; Villalobos, Andres Eduardo Lorenzo; Mesin, Luca; De'Sperati, Claudio; Roatta, Silvestro. - In: INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES. - ISSN 1071-5819. - 126:(2019), pp. 53-63. [10.1016/j.ijhcs.2019.02.002] | 1-gen-2019 | Ponzio, FrancescoMesin, Luca + | post_print_versione_autore.pdf; A_human-computer_interface_based_on_the_voluntary_pupil_accommodativeresponse.pdf |
| A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images / Mascolini, Alessio; Puzzo, S.; Incatasciato, G.; Ponzio, F.; Ficarra, E.; Di Cataldo, S. - In: Progresses in Artificial Intelligence and Neural Systems. Smart Innovation, Systems and Technologies / Esposito A., Faundez-Zanuy M., Morabito F.C., Pasero E.. - Singapore : Springer, Singapore, 2020. - ISBN 978-981-15-5093-5. - pp. 125-136 [10.1007/978-981-15-5093-5_12] | 1-gen-2020 | MASCOLINI, ALESSIOF. PonzioE. FicarraS. Di Cataldo + | A_Novel_POC_Framework_for_ConvNets_on_WSIs.pdf; WIRN_2019.pdf |
| Exploiting "uncertain" deep networks for data cleaning in digital pathology / Ponzio, Francesco; Deodato, Giacomo; Macii, Enrico; DI CATALDO, Santa; Ficarra, Elisa. - (2020), pp. 1139-1143. (Intervento presentato al convegno IEEE International Symposium on Biomedical Imaging tenutosi a Coralville (USA) nel 3-7 Aprile 2020) [10.1109/ISBI45749.2020.9098605]. | 1-gen-2020 | Francesco PonzioGiacomo DeodatoEnrico MaciiSanta Di CataldoElisa Ficarra | 09098605.pdf |
| A Bayesian approach to Expert Gate Incremental Learning / Mieuli, Valerio; Ponzio, Francesco; Mascolini, Alessio; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa. - (2021), pp. 1-7. (Intervento presentato al convegno 2021 International Joint Conference on Neural Networks (IJCNN) tenutosi a Shenzhen (China) nel 18-22 July 2021) [10.1109/IJCNN52387.2021.9534204]. | 1-gen-2021 | Ponzio, FrancescoMascolini, AlessioMacii EnricoFicarra, ElisaDi Cataldo, Santa + | IJCNN.pdf; A_Bayesian_approach_to_Expert_Gate_Incremental_Learning.pdf |
| Deep learning at the microscope - Working towards improved microscopy image analysis with deep neural networks / Ponzio, Francesco. - (2021 Oct 12), pp. 1-141. | 12-ott-2021 | PONZIO, FRANCESCO | conv_ponzio_thesis.pdf; conv_ponzio_summary.pdf |
| A Machine Learning Approach to Support Treatment Identification for Chiari I Malformation / Mesin, Luca; Ponzio, Francesco; Francesco Carlino, Christian; Lenge, Matteo; Noris, Alice; Carmela Leo, Maria; Sica, Michela; Mcgreevy, Kathleen; Leila Ahngar Fabrik, Erica; Giordano, Flavio. - In: APPLIED SCIENCES. - ISSN 2076-3417. - ELETTRONICO. - 12:18(2022), p. 9039. [10.3390/app12189039] | 1-gen-2022 | Luca MesinFrancesco Ponzio + | ChiariMalformation_ApplSci.pdf |
| e-Pupil: IoT-based Augmentative and Alternative Communication device exploiting the pupillary near-reflex / Chiarion, Giovanni; Ponzio, Francesco; Terna, Stefano; Moglia, Cristina; Patti, Edoardo; DI CATALDO, Santa; Roatta, Silvestro. - In: IEEE ACCESS. - ISSN 2169-3536. - 10:(2022), pp. 130078-130088. [10.1109/ACCESS.2022.3229143] | 1-gen-2022 | Giovanni ChiarionFrancesco PonzioEdoardo PattiSanta Di CataldoSilvestro Roatta + | CR_e-Pupil_IoT-Based_Augmentative_and_Alternative_Communication_Device_Exploiting_the_Pupillary_Near-Reflex.pdf |
| Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations / Mascolini, Alessio; Cardamone, Dario; Ponzio, Francesco; Di Cataldo, Santa; Ficarra, Elisa. - In: BMC BIOINFORMATICS. - ISSN 1471-2105. - 23:1(2022). [10.1186/s12859-022-04845-1] | 1-gen-2022 | Mascolini, AlessioPonzio, FrancescoDi Cataldo, Santa + | s12859-022-04845-1.pdf |
| High Resolution Explanation Maps for CNNs using Segmentation Networks / Mascolini, Alessio; Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa. - (2022), pp. 1-3. (Intervento presentato al convegno 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) tenutosi a Rome (Italy) nel 12-16 September 2022) [10.1109/VL/HCC53370.2022.9833004]. | 1-gen-2022 | Mascolini, AlessioPonzio, FrancescoMacii, EnricoDi Cataldo, Santa + | VLHCC_2022_Camera_Ready (3).pdf; High_Resolution_Explanation_Maps_for_CNNs_using_Segmentation_Networks.pdf |
| Improving CNNs classification with pathologist-based expertise: the renal cell carcinoma case study / Ponzio, Francesco; Descombes, Xavier; Ambrosetti, Damien. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 13:1(2023), p. 15887. [10.1038/s41598-023-42847-y] | 1-gen-2023 | Ponzio, Francesco + | ponzio s41598-023-42847-y.pdf |
| W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality / Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - 214:(2023), p. 119121. [10.1016/j.eswa.2022.119121] | 1-gen-2023 | Ponzio, FrancescoMacii, EnricoFicarra, ElisaDi Cataldo, Santa | 1-s2.0-S095741742202139X-main.pdf; W2WNet__a_two_module_probabilistic_Convolutional_Neural_Network_with_embedded_data_cleansing_functionality.pdf |
| Robotic Arm Dataset (RoAD): a Dataset to Support the Design and Test of Machine Learning-driven Anomaly Detection in a Production Line / Mascolini, Alessio; Gaiardelli, Sebastiano; Ponzio, Francesco; Dall’Ora, Nicola; Macii, Enrico; Vinco, Sara; DI CATALDO, Santa; Fummi, Franco. - ELETTRONICO. - (2023), pp. -7. (Intervento presentato al convegno The 49th Annual Conference of the IEEE Industrial Electronics Society tenutosi a Singapore, Singapore nel 16-19 October 2023) [10.1109/IECON51785.2023.10311726]. | 1-gen-2023 | Alessio MascoliniFrancesco PonzioEnrico MaciiSara VincoSanta Di CataldoFranco Fummi + | TAD_dataset.pdf; Robotic_Arm_Dataset_RoAD_A_Dataset_to_Support_the_Design_and_Test_of_Machine_Learning-Driven_Anomaly_Detection_in_a_Production_Line.pdf |
| Cigarette Smoking and Intracranial Aneurysms: A Pilot Analysis of SNPs in the CYP2A6 Gene in the Italian Population / Ferrari, Erika; Cornali, Claudio; Fiorindi, Alessandro; Agosti, Edoardo; Gallone, Salvatore; Rubino, Elisa; Ponzio, Francesco; Fontanella, Marco Maria; De Maria, Lucio. - In: WORLD NEUROSURGERY. - ISSN 1878-8750. - 179:(2023), pp. 492-499. [10.1016/j.wneu.2023.08.128] | 1-gen-2023 | Ponzio, Francesco + | ponzio 1-s2.0-S1878875023012421-main.pdf |
| Detection of Inferior Vena Cava in Ultrasound Scans through a Deep Learning Model / Policastro, Piero; Chiarion, Giovanni; Ponzio, Francesco; Ermini, Leonardo; Civera, Stefania; Albani, Stefano; Musumeci, Giuseppe; Roatta, Silvestro; Mesin, Luca. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 12:7(2023), pp. 1-13. [10.3390/electronics12071725] | 1-gen-2023 | Piero PolicastroGiovanni ChiarionFrancesco PonzioLeonardo ErminiStefania CiveraLuca Mesin + | electronics-12-01725.pdf |
Legenda icone
- file ad accesso aperto
- file disponibili sulla rete interna
- file disponibili agli utenti autorizzati
- file disponibili solo agli amministratori
- file sotto embargo
- nessun file disponibile