Deep and machine learning applied to digital pathology for cancer assestement

• Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica. Componente invitato
• Collegio di Ingegneria Gestionale e della Produzione. Componente
• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente invitato

Master of Science

• Bioinformatics. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

Bachelor of Science

• Informatica. A.A. 2018/19, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2019/20, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2020/21, INGEGNERIA AEROSPAZIALE. Collaboratore del corso

• EDA - Electronic Design Automation

• Mieuli, Valerio; Ponzio, Francesco; Mascolini, Alessio; Macii, Enrico; Ficarra, Elisa; ... (2021)
  A Bayesian approach to Expert Gate Incremental Learning. In: 2021 International Joint Conference on Neural Networks (IJCNN), Shenzhen (China), 18-22 July 2021, pp. 1-7. ISBN: 978-1-6654-3900-8
  Contributo in Atti di Convegno (Proceeding)
• Mascolini, Alessio; Puzzo, S.; Incatasciato, G.; Ponzio, F.; Ficarra, E.; Di Cataldo, S. (2021)
  A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images. 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, pp. 125-136. ISBN: 978-981-15-5093-5
  Contributo in Volume
• Ponzio, Francesco (2021)
  Deep learning at the microscope - Working towards improved microscopy image analysis with deep neural networks. relatore: MACII, Enrico; FICARRA, ELISA; , 33. XXXIII Ciclo, P.: 141
  Doctoral Thesis
• Ponzio, Francesco; Deodato, Giacomo; Macii, Enrico; DI CATALDO, Santa; Ficarra, Elisa (2020)
  Exploiting "uncertain" deep networks for data cleaning in digital pathology. In: IEEE International Symposium on Biomedical Imaging, Coralville (USA), 3-7 Aprile 2020, pp. 1139-1143
  Contributo in Atti di Convegno (Proceeding)
• Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; DI CATALDO, Santa (2019)
  Going Deeper into Colorectal Cancer Histopathology. In: BIOIMAGING 2018, pp. 114-131. ISSN 1865-0929. ISBN: 9783030291952
  Contributo in Atti di Convegno (Proceeding)
• Ponzio, Francesco; Villalobos, Andres Eduardo Lorenzo; Mesin, Luca; De'Sperati, Claudio; ... (2019)
  A human-computer interface based on the “voluntary” pupil accommodative response.. In: INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, vol. 126, pp. 53-63. ISSN 1071-5819
  Contributo su Rivista
• Ponzio, Francesco; Urgese, Gianvito; Ficarra, Elisa; DI CATALDO, Santa (2019)
  Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology. In: ELECTRONICS, vol. 8. ISSN 2079-9292
  Contributo su Rivista
• Goddi, A; Ponzio, F; Ficarra, E; di Cataldo, S; Roatta, S. (2018)
  Low-cost pupillometry for human-computer interface.. In: Convegno Le Tecnologie Assistive nell'Età Adulta: realtà europee e nuovi approcci riabilitativi, un tema multidisciplinare., Torino, 13-14 Aprile 2018
  Contributo in Atti di Convegno (Proceeding)
• Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; DI CATALDO, Santa (2018)
  Colorectal Cancer Classification using Deep Convolutional Networks. An Experimental Study. In: 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOIMAGING 2018), Funchal Madeira, Portugal, 19-21 January 2018, pp. 58-66. ISBN: 978-989-758-278-3
  Contributo in Atti di Convegno (Proceeding)
• Roatta, S; De'Sperati, C; Mesin, L; Paisan, V; Ponzio, F (2017)
  Method and system for detecting voluntary binary responses by analyzing the pupil diameter of a subject. N. brevetto: 102017000129971, propr. brevetto: 4 - Soggetti terzi
  Brevetti
• Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; DI CATALDO, Santa (2017)
  A multi-modal brain image registration framework for US-guided neuronavigation systems. Integrating MR and US for minimally invasive neuroimaging.. In: 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), Porto, Portugal, 21-23 February 2017, pp. 114-121. ISBN: 978-989-758-215-8
  Contributo in Atti di Convegno (Proceeding)