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Items: 1 to 50 of 410

1.

The present and future of deep learning in radiology.

Saba L, Biswas M, Kuppili V, Cuadrado Godia E, Suri HS, Edla DR, Omerzu T, Laird JR, Khanna NN, Mavrogeni S, Protogerou A, Sfikakis PP, Viswanathan V, Kitas GD, Nicolaides A, Gupta A, Suri JS.

Eur J Radiol. 2019 May;114:14-24. doi: 10.1016/j.ejrad.2019.02.038. Epub 2019 Mar 2. Review.

PMID:
31005165
2.

Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach.

Cuadrado-Godia E, Jamthikar AD, Gupta D, Khanna NN, Araki T, Maniruzzaman M, Saba L, Nicolaides A, Sharma A, Omerzu T, Suri HS, Gupta A, Mavrogeni S, Turk M, Laird JR, Protogerou A, Sfikakis P, Kitas GD, Viswanathan V, Suri JS.

Comput Biol Med. 2019 Mar 25;108:182-195. doi: 10.1016/j.compbiomed.2019.03.020. [Epub ahead of print]

PMID:
31005010
3.

Adjuvant mitotane therapy is beneficial in non-metastatic adrenocortical carcinoma at high risk of recurrence.

Calabrese A, Basile V, Puglisi S, Perotti P, Pia A, Saba L, Berchialla P, Porpiglia F, Veltri A, Volante M, Reimondo G, Berruti A, Terzolo M.

Eur J Endocrinol. 2019 Apr 1. pii: EJE-18-0923.R2. doi: 10.1530/EJE-18-0923. [Epub ahead of print]

PMID:
30991359
4.

Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0.

Khanna NN, Jamthikar AD, Gupta D, Araki T, Piga M, Saba L, Carcassi C, Nicolaides A, Laird JR, Suri HS, Gupta A, Mavrogeni S, Protogerou A, Sfikakis P, Kitas GD, Suri JS.

Med Biol Eng Comput. 2019 Apr 15. doi: 10.1007/s11517-019-01975-2. [Epub ahead of print]

PMID:
30989577
5.

Ultrasonographic 'soft' markers for the detection of rectosigmoid endometriosis.

Guerriero S, Ajossa S, Pascual MA, Rodriguez I, Piras A, Perniciano M, Saba L, Paoletti AM, Mais V, Alcazar JL.

Ultrasound Obstet Gynecol. 2019 Apr 11. doi: 10.1002/uog.20289. [Epub ahead of print]

PMID:
30977185
6.

Unsupervised discovery of phenotype specific multi-omics networks.

Shi WJ, Zhuang Y, Russell PH, Hobbs BD, Parker MM, Castaldi PJ, Rudra P, Vestal B, Hersh CP, Saba LM, Kechris K.

Bioinformatics. 2019 Apr 8. pii: btz226. doi: 10.1093/bioinformatics/btz226. [Epub ahead of print]

PMID:
30957844
7.

Carotid artery imaging: The study of intra-plaque vascularization and hemorrhage in the era of the "vulnerable" plaque.

Porcu M, Anzidei M, Suri JS, A Wasserman B, Anzalone N, Lucatelli P, Loi F, Montisci R, Sanfilippo R, Rafailidis V, Saba L.

J Neuroradiol. 2019 Apr 4. pii: S0150-9861(18)30318-3. doi: 10.1016/j.neurad.2019.03.009. [Epub ahead of print] Review.

PMID:
30954549
8.

Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications.

Saba L, Saam T, Jäger HR, Yuan C, Hatsukami TS, Saloner D, Wasserman BA, Bonati LH, Wintermark M.

Lancet Neurol. 2019 Apr 3. pii: S1474-4422(19)30035-3. doi: 10.1016/S1474-4422(19)30035-3. [Epub ahead of print] Review.

PMID:
30954372
9.

Balloon-Occluded Transcatheter Arterial Chemoembolization (b-TACE) for Hepatocellular Carcinoma Performed with Polyethylene-Glycol Epirubicin-Loaded Drug-Eluting Embolics: Safety and Preliminary Results.

Lucatelli P, Ginnani Corradini L, De Rubeis G, Rocco B, Basilico F, Cannavale A, Nardis PG, Corona M, Saba L, Catalano C, Bezzi M.

Cardiovasc Intervent Radiol. 2019 Mar 6. doi: 10.1007/s00270-019-02192-y. [Epub ahead of print]

PMID:
30843093
10.

Immunotherapy Associated Pulmonary Toxicity: Biology Behind Clinical and Radiological Features.

Porcu M, De Silva P, Solinas C, Battaglia A, Schena M, Scartozzi M, Bron D, Suri JS, Willard-Gallo K, Sangiolo D, Saba L.

Cancers (Basel). 2019 Mar 5;11(3). pii: E305. doi: 10.3390/cancers11030305. Review.

11.

Internal carotid artery dissection causing ischemic stroke during pole sport practice.

Ercoli T, Dagostino S, Pierri V, Cannas A, Solla P, Uselli S, Scapin E, Saba L, Defazio G.

J Sports Med Phys Fitness. 2019 May;59(5):892-893. doi: 10.23736/S0022-4707.18.08904-1. Epub 2019 Feb 12. No abstract available.

PMID:
30758162
12.

Does the clinical information play a role in the magnetic resonance diagnostic confidence analysis of ovarian and deep endometriosis?

Saba L, Ajossa S, Ledda G, Balestrieri A, Schirru F, De Cecco CN, Suri JS, Melis GB, Lavra F, Guerriero S.

Br J Radiol. 2019 Apr;92(1096):20180548. doi: 10.1259/bjr.20180548. Epub 2019 Feb 26.

PMID:
30730754
13.

Polyethylene Glycol Epirubicin-Loaded Transcatheter Arterial Chemoembolization Procedures Utilizing a Combined Approach with 100 and 200 μm Microspheres: A Promising Alternative to Current Standards.

Lucatelli P, Argirò R, De Rubeis G, Rocco B, Corradini SG, Corona M, Nardis PG, Saba L, Mennini G, Fiorentino F, Corsi A, Catalano C, Bezzi M.

J Vasc Interv Radiol. 2019 Mar;30(3):305-313. doi: 10.1016/j.jvir.2018.10.026. Epub 2019 Jan 31.

PMID:
30713031
14.

Early Mechanistic Events Induced by Low Molecular Weight Polycyclic Aromatic Hydrocarbons in Mouse Lung Epithelial Cells: A Role for Eicosanoid Signaling.

Siegrist KJ, Romo D, Upham BL, Armstrong M, Quinn K, Vanderlinden L, Osgood RS, Velmurugan K, Elie M, Manke J, Reinhold D, Reisdorph N, Saba L, Bauer AK.

Toxicol Sci. 2019 Jan 25. doi: 10.1093/toxsci/kfz030. [Epub ahead of print]

PMID:
30690640
15.

Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue Characterization.

Khanna NN, Jamthikar AD, Gupta D, Piga M, Saba L, Carcassi C, Giannopoulos AA, Nicolaides A, Laird JR, Suri HS, Mavrogeni S, Protogerou AD, Sfikakis P, Kitas GD, Suri JS.

Curr Atheroscler Rep. 2019 Jan 25;21(2):7. doi: 10.1007/s11883-019-0766-x. Review.

PMID:
30684090
16.

Publisher Correction: Immunoglobulin deposition on biomolecule corona determines complement opsonization efficiency of preclinical and clinical nanoparticles.

Vu VP, Gifford GB, Chen F, Benasutti H, Wang G, Groman EV, Scheinman R, Saba L, Moghimi SM, Simberg D.

Nat Nanotechnol. 2019 Mar;14(3):298. doi: 10.1038/s41565-019-0379-0.

PMID:
30670872
17.

A Review on a Deep Learning Perspective in Brain Cancer Classification.

S Tandel G, Biswas M, G Kakde O, Tiwari A, S Suri H, Turk M, Laird JR, Asare CK, A Ankrah A, N Khanna N, K Madhusudhan B, Saba L, Suri JS.

Cancers (Basel). 2019 Jan 18;11(1). pii: E111. doi: 10.3390/cancers11010111. Review.

18.

Quantifying Competition among Mitochondrial Protein Acylation Events Induced by Ethanol Metabolism.

Ali HR, Assiri MA, Harris PS, Michel CR, Yun Y, Marentette JO, Huynh FK, Orlicky DJ, Shearn CT, Saba LM, Reisdorph R, Reisdorph N, Hirschey MD, Fritz KS.

J Proteome Res. 2019 Apr 5;18(4):1513-1531. doi: 10.1021/acs.jproteome.8b00800. Epub 2019 Jan 31.

PMID:
30644754
19.

Immunoglobulin deposition on biomolecule corona determines complement opsonization efficiency of preclinical and clinical nanoparticles.

Vu VP, Gifford GB, Chen F, Benasutti H, Wang G, Groman EV, Scheinman R, Saba L, Moghimi SM, Simberg D.

Nat Nanotechnol. 2019 Mar;14(3):260-268. doi: 10.1038/s41565-018-0344-3. Epub 2019 Jan 14. Erratum in: Nat Nanotechnol. 2019 Jan 22;:.

PMID:
30643271
20.

Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study.

Khanna NN, Jamthikar AD, Gupta D, Nicolaides A, Araki T, Saba L, Cuadrado-Godia E, Sharma A, Omerzu T, Suri HS, Gupta A, Mavrogeni S, Turk M, Laird JR, Protogerou A, Sfikakis PP, Kitas GD, Viswanathan V, Suri JS.

Comput Biol Med. 2019 Feb;105:125-143. doi: 10.1016/j.compbiomed.2019.01.002. Epub 2019 Jan 8.

PMID:
30641308
21.

Nonlinear model for the carotid artery disease 10-year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study.

Khanna NN, Jamthikar AD, Araki T, Gupta D, Piga M, Saba L, Carcassi C, Nicolaides A, Laird JR, Suri HS, Gupta A, Mavrogeni S, Kitas GD, Suri JS.

Echocardiography. 2019 Feb;36(2):345-361. doi: 10.1111/echo.14242. Epub 2019 Jan 9.

PMID:
30623485
22.

Reorganization of brain networks following carotid endarterectomy: an exploratory study using resting state functional connectivity with a focus on the changes in Default Mode Network connectivity.

Porcu M, Craboledda D, Garofalo P, Barberini L, Sanfilippo R, Zaccagna F, Wintermark M, Montisci R, Saba L.

Eur J Radiol. 2019 Jan;110:233-241. doi: 10.1016/j.ejrad.2018.12.007. Epub 2018 Dec 6.

PMID:
30599866
23.

Variation of degree of stenosis quantification using different energy level with dual energy CT scanner.

Saba L, Argioas GM, Lucatelli P, Lavra F, Suri JS, Wintermark M.

Neuroradiology. 2019 Mar;61(3):285-291. doi: 10.1007/s00234-018-2142-x. Epub 2018 Dec 15.

PMID:
30554271
24.

Connectometry evaluation in patients undergoing carotid endarterectomy: an exploratory study.

Porcu M, Craboledda D, Garofalo P, Columbano G, Barberini L, Sanfilippo R, Zaccagna F, Wintermark M, Montisci R, Saba L.

Brain Imaging Behav. 2018 Dec 7. doi: 10.1007/s11682-018-0024-9. [Epub ahead of print]

PMID:
30535626
25.

Efficacy of an ethyl alcohol gel in symptomatic disc herniation.

Marcia S, Bellini M, Hirsch JA, Chandra RV, Piras E, Marras M, Sanna AM, Saba L.

Eur J Radiol. 2018 Dec;109:101-107. doi: 10.1016/j.ejrad.2018.10.029. Epub 2018 Oct 30.

PMID:
30527290
26.

State-of-the-art review on deep learning in medical imaging.

Biswas M, Kuppili V, Saba L, Edla DR, Suri HS, Cuadrado-Godia E, Laird JR, Marinhoe RT, Sanches JM, Nicolaides A, Suri JS.

Front Biosci (Landmark Ed). 2019 Jan 1;24:392-426. Review.

PMID:
30468663
27.

Association between carotid artery plaque inflammation and brain MRI.

Saba L, Lai L, Lucatelli P, Sanfilippo R, Montisci R, S Suri J, Faa G.

J Neuroradiol. 2018 Nov 12. pii: S0150-9861(18)30215-3. doi: 10.1016/j.neurad.2018.10.004. [Epub ahead of print]

PMID:
30439395
28.

Learning curve for the ultrasonographic diagnosis of deep endometriosis using a structured off-line training program.

Guerriero S, Pascual MA, Ajossa S, Rodriguez I, Zajicek M, Rolla M, Rams NL, Yulzari V, Bardin R, Buonomo F, Comparetto O, Perniciano M, Saba L, Mais V, Alcazar JL.

Ultrasound Obstet Gynecol. 2018 Nov 13. doi: 10.1002/uog.20176. [Epub ahead of print]

PMID:
30426587
29.

Assessing the Relationship Between American Heart Association Atherosclerotic Cardiovascular Disease Risk Score and Coronary Artery Imaging Findings.

Li Y, Zhu G, Ding V, Jiang B, Ball RL, Ahuja N, Rodriguez F, Fleischmann D, Desai M, Saloner D, Saba L, Wintermark M, Hom J.

J Comput Assist Tomogr. 2018 Nov/Dec;42(6):898-905. doi: 10.1097/RCT.0000000000000823.

PMID:
30407249
30.

Intra- and inter-operator reproducibility of automated cloud-based carotid lumen diameter ultrasound measurement.

Saba L, Banchhor SK, Araki T, Viskovic K, Londhe ND, Laird JR, Suri HS, Suri JS.

Indian Heart J. 2018 Sep - Oct;70(5):649-664. doi: 10.1016/j.ihj.2018.01.024. Epub 2018 Jan 31.

31.

Assessing the Relationship between Atherosclerotic Cardiovascular Disease Risk Score and Carotid Artery Imaging Findings.

Li Y, Zhu G, Ding V, Huang Y, Jiang B, Ball RL, Rodriguez F, Fleischmann D, Desai M, Saloner D, Saba L, Hom J, Wintermark M.

J Neuroimaging. 2019 Jan;29(1):119-125. doi: 10.1111/jon.12573. Epub 2018 Oct 25.

PMID:
30357980
32.

Cancer immunotherapy-associated hypophysitis.

Solinas C, Porcu M, De Silva P, Musi M, Aspeslagh S, Scartozzi M, Willard-Gallo K, Mariotti S, Saba L.

Semin Oncol. 2018 Jun;45(3):181-186. doi: 10.1053/j.seminoncol.2018.09.002. Epub 2018 Oct 21. Review.

PMID:
30352754
33.

Reduction of Total Brain and Cerebellum Volumes Associated With Neuronal Autoantibodies in Patients With APECED.

Meloni A, Corda G, Saba L, Ferri GL, Mariotti S, Cocco C.

J Clin Endocrinol Metab. 2019 Jan 1;104(1):150-162. doi: 10.1210/jc.2018-01313.

PMID:
30339230
34.

Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies.

Cuadrado-Godia E, Dwivedi P, Sharma S, Ois Santiago A, Roquer Gonzalez J, Balcells M, Laird J, Turk M, Suri HS, Nicolaides A, Saba L, Khanna NN, Suri JS.

J Stroke. 2018 Sep;20(3):302-320. doi: 10.5853/jos.2017.02922. Epub 2018 Sep 30.

35.

Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke risk.

Biswas M, Kuppili V, Saba L, Edla DR, Suri HS, Sharma A, Cuadrado-Godia E, Laird JR, Nicolaides A, Suri JS.

Med Biol Eng Comput. 2019 Feb;57(2):543-564. doi: 10.1007/s11517-018-1897-x. Epub 2018 Sep 26.

PMID:
30255236
36.

The Bayesian risk estimate at onset (BREMSO) correlates with cognitive and physical disability in patients with early multiple sclerosis.

Said M, El Ayoubi NK, Hannoun S, Haddad R, Saba L, Jalkh Y, Yamout BI, Khoury SJ.

Mult Scler Relat Disord. 2018 Nov;26:96-102. doi: 10.1016/j.msard.2018.09.003. Epub 2018 Sep 13.

PMID:
30243236
37.

Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network.

Lyu Y, Xue L, Zhang F, Koch H, Saba L, Kechris K, Li Q.

PLoS Comput Biol. 2018 Sep 21;14(9):e1006436. doi: 10.1371/journal.pcbi.1006436. eCollection 2018 Sep.

38.

Predictive modeling of miRNA-mediated predisposition to alcohol-related phenotypes in mouse.

Rudra P, Shi WJ, Russell P, Vestal B, Tabakoff B, Hoffman P, Kechris K, Saba L.

BMC Genomics. 2018 Aug 29;19(1):639. doi: 10.1186/s12864-018-5004-3.

39.

Benign Multicystic Peritoneal Mesothelioma in a Male Patient with Previous Wilms' Tumor: A Case Report and Review of the Literature.

Canu GL, Medas F, Columbano G, Gordini L, Saba L, Erdas E, Calò PG.

Case Rep Surg. 2018 Aug 1;2018:4324986. doi: 10.1155/2018/4324986. eCollection 2018.

40.

Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review.

Banchhor SK, Londhe ND, Araki T, Saba L, Radeva P, Khanna NN, Suri JS.

Comput Biol Med. 2018 Oct 1;101:184-198. doi: 10.1016/j.compbiomed.2018.08.017. Epub 2018 Aug 20. Review.

PMID:
30149250
41.

Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort.

Cuadrado-Godia E, Maniruzzaman M, Araki T, Puvvula A, Jahanur Rahman M, Saba L, Suri HS, Gupta A, Banchhor SK, Teji JS, Omerzu T, Khanna NN, Laird JR, Nicolaides A, Mavrogeni S, Kitas GD, Suri JS; Fellow AIMBE.

Comput Biol Med. 2018 Oct 1;101:128-145. doi: 10.1016/j.compbiomed.2018.08.008. Epub 2018 Aug 8.

PMID:
30138774
42.

Pulvinar sign in a case of anti-CV2 encephalitis.

Fadda L, Floris G, Polizzi L, Meleddu L, Ercoli T, Garofalo P, Saba L, Muroni A, Defazio G.

J Neurol Sci. 2018 Oct 15;393:69-71. doi: 10.1016/j.jns.2018.08.010. Epub 2018 Aug 7. No abstract available.

PMID:
30121006
43.

miRNA-regulated transcription associated with mouse strains predisposed to hypnotic effects of ethanol.

Vestal B, Russell P, Radcliffe RA, Bemis L, Saba LM, Kechris K.

Brain Behav. 2018 Jun;8(6):e00989. doi: 10.1002/brb3.989. Epub 2018 Apr 30.

44.

MRI liver fat quantification in an oncologic population: the added value of complex chemical shift-encoded MRI.

Corrias G, Krebs S, Eskreis-Winkler S, Ryan D, Zheng J, Capanu M, Saba L, Monti S, Fung M, Reeder S, Mannelli L.

Clin Imaging. 2018 Nov - Dec;52:193-199. doi: 10.1016/j.clinimag.2018.08.002. Epub 2018 Aug 8.

PMID:
30103108
45.
46.

Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients.

Kotsis V, Jamthikar AD, Araki T, Gupta D, Laird JR, Giannopoulos AA, Saba L, Suri HS, Mavrogeni S, Kitas GD, Viskovic K, Khanna NN, Gupta A, Nicolaides A, Suri JS.

Diabetes Res Clin Pract. 2018 Sep;143:322-331. doi: 10.1016/j.diabres.2018.07.028. Epub 2018 Jul 27.

PMID:
30059757
47.

What is the role of vertebral augmentation for osteoporotic fractures? A review of the recent literature.

Marcia S, Muto M, Hirsch JA, Chandra RV, Carter N, Crivelli P, Piras E, Saba L.

Neuroradiology. 2018 Aug;60(8):777-783. doi: 10.1007/s00234-018-2042-0. Epub 2018 Jun 13. Review.

PMID:
29947942
48.

Correlation among olfactory function, motors' symptoms, cognitive impairment, apathy, and fatigue in patients with Parkinson's disease.

Masala C, Solla P, Liscia A, Defazio G, Saba L, Cannas A, Cavazzana A, Hummel T, Haehner A.

J Neurol. 2018 Aug;265(8):1764-1771. doi: 10.1007/s00415-018-8913-9. Epub 2018 May 26.

PMID:
29804147
49.

Volumetric Distribution of the White Matter Hyper-Intensities in Subject with Mild to Severe Carotid Artery Stenosis: Does the Side Play a Role?

Saba L, Lucatelli P, Anzidei M, di Martino M, Suri JS, Montisci R.

J Stroke Cerebrovasc Dis. 2018 Aug;27(8):2059-2066. doi: 10.1016/j.jstrokecerebrovasdis.2018.02.065. Epub 2018 May 24.

PMID:
29803599
50.

Elevated Nrf-2 responses are insufficient to mitigate protein carbonylation in hepatospecific PTEN deletion mice.

Petersen DR, Saba LM, Sayin VI, Papagiannakopoulos T, Schmidt EE, Merrill GF, Orlicky DJ, Shearn CT.

PLoS One. 2018 May 25;13(5):e0198139. doi: 10.1371/journal.pone.0198139. eCollection 2018.

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