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Lorena Bonaldi

About Lorena Bonaldi

Posts by Lorena Bonaldi:

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.

Ferraro PM, Campi C, Miceli A, Rolla-Bigliani C, Bauckneht M, Gualco L, Piana M, Marini C, Castellan L, Morbelli S, Caponnetto C, Sambuceti G, Roccatagliata L. 18F-FDG-PET correlates of aging and disease course in ALS as revealed by distinct PVC approaches. Eur J Radiol Open, 2022; 9: 100394

Ferraro PM, Campi C, Miceli A, Rolla-Bigliani C, Bauckneht M, Gualco L, Piana M, Marini C, Castellan L, Morbelli S, Caponnetto C, Sambuceti G, Roccatagliata L. 18F-FDG-PET correlates of aging and disease course in ALS as revealed by distinct PVC approaches. Eur J Radiol Open, 2022; 9: 100394.

Mingoia F, Di Sano C, D’Anna C, Fazzari M, Minafra L,  Bono A, La Monica G, Martorana A, Almerico AM, Lauria A. Synthesis of new antiproliferative 1,3,4-substituted-pyrrolo[3,2-c]quino-line derivatives, biological and in silico insights. European Journal of Medicinal Chemistry, 2023; 258: 115537


Mingoia F, Di Sano C, D’Anna C, Fazzari M, Minafra L,  Bono A, La Monica G, Martorana A, Almerico AM, Lauria A. Synthesis of new antiproliferative 1,3,4-substituted-pyrrolo[3,2-c]quino-line derivatives, biological and in silico insights. European Journal of Medicinal Chemistry, 2023; 258: 115537.

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