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Pirozzi MA, Tranfa M, Tortora M, Lanzillo R, Brescia Morra V, Brunetti A, Alfano B, Quarantelli M
A polynomial regression-based approach to estimate relaxation rate maps suitable for multiparametric segmentation of clinical brain MRI studies in multiple sclerosis
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Pontillo G, Penna S, Cocozza S, Quarantelli M, Gravina M, Lanzillo R, Marrone S, Costabile T, Inglese M, Morra VB, Riccio D, Elefante A, Petracca M, Sansone C, Brunetti A
Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approach
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Mainenti PP, Stanzione A, Cuocolo R, Del G, R , Danzi R, Romeo V, Raffone A, Di Psiezio A, Giordano E, Travaglino E, Insavato L, Scaglione M, Maurea S, Brunetti A
MRI radiomics: A machine learning approach for the risk stratification of endometrial cancer patients
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Megna R, Petretta M, Assante R, Zampella E, Nappi C, Gaudieri V, Mannarino T, D , #antonio A, Green R, Cantoni V, Arumugam P, Acampa W, Cuocolo A
A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging
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Pontillo G, Tommasin S, Cuocolo R, Petracca M, Petsas N, Ugga L, Carotenuto A, Pozzilli C, Iodice R, Lanzillo R, Quarantelli M, Brescia Morra V, Tedeschi E, Pantano P, Cocozza S
A Combined Radiomics and Machine Learning Approach to Overcome the Clinicoradiologic Paradox in Multiple Sclerosis
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Stanzione A, Verde F, Romeo V, Boccadifuoco F, Mainenti PP, Maurea S
Radiomics and machine learning applications in rectal cancer: Current update and future perspectives
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Stanzione A, Cuocolo R, Verde F, Galatola R, Romeo V, Mainenti PP, Aprea G, Guadagno E, Del Basso De Caro M, Maurea S
Handcrafted MRI radiomics and machine learning: Classification of indeterminate solid adrenal lesions
Magn Reson Imaging (ISSN: 0730-725xlinking), 2021 Jun; 79: 52-58.

Ricciardi C, Cuocolo R, Megna R, Cesarelli M, Petretta M
Machine learning analysis: general features, requirements and cardiovascular applications
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Stanzione A, Cuocolo R, Del Grosso R, Nardiello A, Romeo V, Travaglino A, Raffone A, Bifulco G, Zullo F, Insabato L, Maurea S, Mainenti PP
Deep Myometrial Infiltration of Endometrial Cancer on MRI: A Radiomics-Powered Machine Learning Pilot Study
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Zöllner FG, Dastrù W, Irrera P, Longo DL, Bennett KM, Beeman SC, Bretthorst GL, Garbow JR
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Irrera P, Consolino L, Dastrù W, Pedersen M, Zöllner FG, Longo DL
Dynamic Contrast Enhanced (DCE) MRI-Derived Renal Perfusion and Filtration: Experimental Protocol
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Balsano C, Alisi A, Brunetto MR, Invernizzi P, Burra P, Piscaglia F
The application of artificial intelligence in hepatology: A systematic review
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Stanzione A, Ricciardi C, Cuocolo R, Romeo V, Petrone J, Sarnataro M, Mainenti PP, Improta G, De Rosa F, Insabato L, Brunetti A, Maurea S
MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study
J Digit Imaging (ISSN: 0897-1889linking), 2020 Aug; 33(4): 879-887.

Palma G, Monti S, Cella L
Voxel-based analysis in radiation oncology: A methodological cookbook
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Camera L, Pezzullo F, Acampora A, Liuzzi R, Rispo A, Nardone OM, Luglio G, Bucci L, Castiglione F, Brunetti A
Multi-detector CT enterography in active inflammatory bowel disease: Image quality and diagnostic efficacy of a low-radiation high contrast protocol
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Mainenti PP, Stanzione A, Guarino S, Romeo V, Ugga L, Romano F, Storto G, Maurea S, Brunetti A
Colorectal cancer: Parametric evaluation of morphological, functional and molecular tomographic imaging
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Megna R, Cuocolo A, Petretta M
Applications of Machine Learning in Medicine
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Kujawa A, Kim M, Demetriou E, Anemone A, Livio Longo D, Zaiss M, Golay X
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Larobina M, Solla R, Megna R
Quantitative characterization of tumors in PET: a comparison of three texture analysis software packages
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Barone R, Alaimo S, Messina M, Pulvirenti A, Bastin J, Group MIMIC-A, F , Frye RE, Rizzo (mimic-ag A, Fiumara R, Meli C, Gulisano M, Maugeri F, Prato A, Russo G, Tabbì G
A Subset of Patients With Autism Spectrum Disorders Show a Distinctive Metabolic Profile by Dried Blood Spot Analyses
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Romeo V, Maurea S, Cuocolo R, Petretta M, Mainenti PP, Verde F, Coppola M, Dell'Aversana S, Brunetti A
Characterization of Adrenal Lesions on Unenhanced MRI Using Texture Analysis: A Machine-Learning Approach
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Monti S, Pacelli R, Cella L, Palma G
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Larobina M, Salvatore B, Fonti R, Solla R, Murino L, Del Vecchio S, Pace L
F-18-FDG PET/CT texture analysis in patients with head and neck cancer
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Monti S, Borrelli P, Tedeschi E, Cocozza S, Palma G
RESUME: Turning an SWI acquisition into a fast qMRI protocol
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Ribaldone DG, Dileo I, Pellicano R, Resegotti A, Fagoonee S, Vernero M, Saracco G, Astegiano M
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A generalized ratiometric chemical exchange saturation transfer (CEST) MRI approach for mapping renal pH using iopamidol
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Granata D, Amato U, Alfano B
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Palma G, Tedeschi E, Borrelli P, Cocozza S, Russo C, Liu S, Ye Y, Comerci M, Alfano B, Salvatore M, Haacke EM, Mancini M
A Novel Multiparametric Approach to 3D Quantitative MRI of the Brain
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Pacelli R, Oh JH, Deasy JO, Conson M, D'Avino V, Picardi M, Pressello MC, Boboc G, Battistini R, Donato V, Cella L
Machine learning-based prediction of late radiation induced lung toxicity in Hodgkin's lymphoma survivors
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Borrelli P, Palma G, Comerci M, Alfano B
Unbiased noise estimation and denoising in parallel magnetic resonance imaging
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Pedicini P, Fiorentino A, Improta G, Nappi A, Salvatore M, Storto G
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Cammisa M, Correra A, Andreotti G, Cubellis MV
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Petretta M, Acampa W, Daniele S, Petretta MP, Nappi C, Assante R, Zampella E, Costanzo P, Perrone-Filardi P, Cuocolo A
Transient ischemic dilation in SPECT myocardial perfusion imaging for prediction of severe coronary artery disease in diabetic patients
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Cesarelli M, Bifulco P, Romano  M, Fratini A, D'Addio G, Clemente F
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Cella L, Liuzzi R, Conson M, D'Avino V, Salvatore M, Pacelli R
Development of multivariate NTCP models for radiation-induced hypothyroidism: A comparative analysis
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Selvan SE, Amato U, Gallivan KA, Qi C, Carfora MF, Larobina M, Alfano B
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Petretta M, Cuocolo A
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Sasaki T, Ito H, Kimura Y, Arakawa R, Takano H, Seki C, Kodaka F, Fujie S, Takahata K, Nogami T, Suzuki M, Fujiwara H, Takahashi H, Nakao R, Fukumura T, Varrone A, Halldin C, Nishikawa T, Suhara T
Quantification of dopamine transporter in human brain using PET with 18F-FE-PE2I
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Greco A, Petretta MP, Larobina M, Gargiulo S, Panico M, Nekolla SG, Esposito G, Petretta M, Brunetti A, Cuocolo A
Reproducibility and accuracy of non-invasive measurement of infarct size in mice with high-resolution PET/CT
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Cantisani M, Vitiello M, Falanga A, Finamore E, Galdiero M, Galdiero S
Peptides complementary to the active loop of porin P2 from Haemophilus influenzae modulate its activity
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Alfano B, Comerci M, Larobina M, Prinster A, Hornak JP, Selvan SE, Amato U, Quarantelli M, Tedeschi G, Brunetti A, Salvatore M
An MRI digital brain phantom for validation of segmentation methods
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Ceccarelli M, Speranza A, Grimaldi D, Lamonaca F
A Computer Vision Approach to Micro-Nucleus automatic detection and surface measurements
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Galdiero S, Falanga A, Vitiello M, Raiola L, Russo L, Pedone C, Isernia C, Galdiero M
The presence of a single N-terminal histidine residue enhances the fusogenic properties of a Membranotropic peptide derived from herpes simplex virus type 1 glycoprotein
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Slomka PJ, Le Meunier L, Hayes SW, Acampa W, Oba M, Haemer GG, Berman DS, Germano G
Comparison of Myocardial Perfusion (82)Rb PET Performed with CT- and Transmission CT-Based Attenuation Correction
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Autiero I, Costantini S, Colonna G
Human sirt-1: molecular modeling and structure-function relationships of an unordered protein
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Paladino A, Costantini S, Colonna G, Facchiano AM
Molecular modelling of miraculin: Structural analyses and functional hypotheses
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Migliore T, Parrella LS, Caputi A, Silvestri N, Romano R, Pace L, Imbriaco M, Losi MA, Betocchi S
Pathogenesis of hypertrophic cardiomyopathy. Impact of growth factors on left ventricular anatomy
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Del Guerra A, Bartoli A, Belcari N, Herbert D, Motta A, Vaiano A, Di Domenico G, Sabba N, Moretti E, Zavattini G, Lazzarotti M, Sensi L, Larobina M
Performance evaluation of the fully engineered YAP-(S)PET scanner for small animal imaging
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Barone V, De Rienzo F, Langella E, Menziani MC, Rega N, Sola M
A computational protocol to probe the role of solvation effects on the reduction potential of azurin mutants
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Storto G, Cirillo P, Eufrasia Vicario ML, Pellegrino T, Sorrentino AR, Petretta M, Galasso G, De Sanctis V, Piscione F, Cuocolo A
Estimation of coronary flow reserve by Tc-99m sestamibi imaging in patients with coronary artery disease: Comparison with the results of intracoronary Doppler technique
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Del Guerra A, Bartoli A, Belcari N, Herbert D, Motta A, Vaiano A, Di Domenico G, Sabba N, Moretti E, Zavattini G, Lazzarotti M, Sensi L, Larobina M
Performance evaluation of the fully engineered YAP-(S)PET scanner for small animal imaging
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Vitagliano L, Berisio R, Mastrangelo A, Mazzarella L, Zagari A
Preferred proline puckerings in cis and trans peptide groups: Implications for collagen stability
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