CNR, ISTITUTO DI BIOIMMAGINI E SISTEMI BIOLOGICI COMPLESSI
Menu

Lorena Bonaldi

About Lorena Bonaldi

Posts by Lorena Bonaldi:

Lo Casto A, Spartivento G, Benfante V, Di Raimondo R, Ali M, Di Raimondo D, Tuttolomondo A, Stefano A, Yezzi A, Comelli A. Artificial Intelligence for Classifying the Relationship between Impacted Third Molar and Mandibular Canal on Panoramic Radiographs. Life-Basel, 2023; 13 (7): 1441

Lo Casto A, Spartivento G, Benfante V, Di Raimondo R, Ali M, Di Raimondo D, Tuttolomondo A, Stefano A, Yezzi A, Comelli A. Artificial Intelligence for Classifying the Relationship between Impacted Third Molar and Mandibular Canal on Panoramic Radiographs. Life-Basel, 2023; 13 (7): 1441.

Piaser E, Berton A, Bolpagni R, Caccia M, Castellani MB, Coppi A Vecchia AD, Gallivanone F, Sona G, Villa P. Impact of Radiometric Variability on Ultra-High Resolution Hyperspectral Imagery Over Aquatic Vegetation: Preliminary Results. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023; 16: 5935-5950

Piaser E, Berton A, Bolpagni R, Caccia M, Castellani MB, Coppi A Vecchia AD, Gallivanone F, Sona G, Villa P. Impact of Radiometric Variability on Ultra-High Resolution Hyperspectral Imagery Over Aquatic Vegetation: Preliminary Results. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023; 16: 5935-5950.

Bando per il Dottorato di Interesse Nazionale in Biodiversity

, ,

24 luglio 2023

È istituito il Dottorato di Interesse Nazionale in Biodiversity, – A.A. 2023/2024 – Ciclo XXXIX, con sede amministrativa presso l’Università degli Studi di Palermo ed è bandito il relativo concorso per progetto, titoli e colloquio le cui modalità saranno stabilite dalla commissione. Dottorande e dottorandi affronteranno la complessa transizione da ecosistemi incontaminati a ecosistemi fortemente influenzati dal disturbo antropico, al fine di promuovere la conservazione e il monitoraggio della biodiversità..
Tutte le informazioni sono disponibili al sito: Bando di dottorato in Biodiversità / Call for PhD in Biodiversity – NBFC

 

 

 

 

 

 

Salvaggio G, Comelli A, Portoghese M, Cutaia G, Cannella R, Vernuccio F, Stefano A, Dispensa N, La Tona G, Salvaggio L, Calamia M, Gagliardo C, Lagalla R, Midiri M. Deep Learning Network for Segmentation of the Prostate Gland With Median Lobe Enlargement in T2-weighted MR Images: Comparison With Manual Segmentation Method. Curr Probl Diagn Radiol, 2022; 51 (3): 328-333

Salvaggio G, Comelli A, Portoghese M, Cutaia G, Cannella R, Vernuccio F, Stefano A, Dispensa N, La Tona G, Salvaggio L, Calamia M, Gagliardo C, Lagalla R, Midiri M. Deep Learning Network for Segmentation of the Prostate Gland With Median Lobe Enlargement in T2-weighted MR Images: Comparison With Manual Segmentation Method. Curr Probl Diagn Radiol, 2022; 51 (3): 328-333.

Suda A, Takahashi J, Schwidder M, Ong P, Ang D, Berry C, Camici PG, Crea F, Carlos Kaski J, Pepine C, Rimoldi O, Sechtem U, Yasuda S, Beltrame JF, Noel Bairey Merz C, Shimokawa H; Coronary Vasomotor Disorders International Study COVADIS Group. Prognostic association of plasma NT-proBNP levels in patients with microvascular angina -A report from the international cohort study by COVADIS. IJC Heart & Vasculature, 2022; 43: 101139

Suda A, Takahashi J, Schwidder M, Ong P, Ang D, Berry C, Camici PG, Crea F, Carlos Kaski J, Pepine C, Rimoldi O, Sechtem U, Yasuda S, Beltrame JF, Noel Bairey Merz C, Shimokawa H; Coronary Vasomotor Disorders International Study COVADIS Group. Prognostic association of plasma NT-proBNP levels in patients with microvascular angina -A report from the international cohort study by COVADIS. IJC Heart & Vasculature, 2022; 43: 101139.

Benfante V, Stefano A, Comelli A, Giaccone P, Cammarata FP, Richiusa S, Scopelliti F, Pometti M, Ficarra M, Cosentino S, Lunardon M, Mastrotto F, Andrighetto A, Tuttolomondo A, Parenti R, Ippolito M, Russo G. A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative 64Cu-Labeled Chelator in Mouse Models. J. Imaging, 2022; 8 (4): 92

Benfante V, Stefano A, Comelli A, Giaccone P, Cammarata FP, Richiusa S, Scopelliti F, Pometti M, Ficarra M, Cosentino S, Lunardon M, Mastrotto F, Andrighetto A, Tuttolomondo A, Parenti R, Ippolito M, Russo G. A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative 64Cu-Labeled Chelator in Mouse Models. J. Imaging, 2022; 8 (4): 92.

Load More

This site is registered on wpml.org as a development site. Switch to a production site key to remove this banner.