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For: Cau R, Bassareo PP, Mannelli L, Suri JS, Saba L. Imaging in COVID-19-related myocardial injury. Int J Cardiovasc Imaging. 2021;37:1349-1360. [PMID: 33211242 DOI: 10.1007/s10554-020-02089-9] [Cited by in Crossref: 10] [Cited by in F6Publishing: 25] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Suri JS, Agarwal S, Saba L, Chabert GL, Carriero A, Paschè A, Danna P, Mehmedović A, Faa G, Jujaray T, Singh IM, Khanna NN, Laird JR, Sfikakis PP, Agarwal V, Teji JS, R yadav R, Nagy F, Kincses ZT, Ruzsa Z, Viskovic K, Kalra MK. Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation. J Med Syst 2022;46. [DOI: 10.1007/s10916-022-01850-y] [Reference Citation Analysis]
2 Luo Y, Liu BT, Yuan WF, Zhao CX. Frontiers of COVID-19-related myocarditis as assessed by cardiovascular magnetic resonance. World J Clin Cases 2022; 10(20): 6784-6793 [DOI: 10.12998/wjcc.v10.i20.6784] [Reference Citation Analysis]
3 Agarwal M, Agarwal S, Saba L, Chabert GL, Gupta S, Carriero A, Pasche A, Danna P, Mehmedovic A, Faa G, Shrivastava S, Jain K, Jain H, Jujaray T, Singh IM, Turk M, Chadha PS, Johri AM, Khanna NN, Mavrogeni S, Laird JR, Sobel DW, Miner M, Balestrieri A, Sfikakis PP, Tsoulfas G, Misra DP, Agarwal V, Kitas GD, Teji JS, Al-maini M, Dhanjil SK, Nicolaides A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Yadav RR, Nagy F, Kincses ZT, Ruzsa Z, Naidu S, Viskovic K, Kalra MK, Suri JS. Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0. Computers in Biology and Medicine 2022;146:105571. [DOI: 10.1016/j.compbiomed.2022.105571] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 6.0] [Reference Citation Analysis]
4 Vieira WB, Franco KMVDS, Dias ARN, Falcão ASC, Falcão LFM, Quaresma JAS, de Sousa RCM. Chest Computed Tomography Is an Efficient Method for Initial Diagnosis of COVID-19: An Observational Study. Front Med (Lausanne) 2022;9:848656. [PMID: 35492320 DOI: 10.3389/fmed.2022.848656] [Reference Citation Analysis]
5 Cereda A, Allievi L, Palmisano A, Tumminello G, Barbieri L, Mangieri A, Laricchia A, Khokhar A, Giannini F, Toselli M, Sangiorgi GM, Esposito A, Aseni P, Lucreziotti S, Mafrici A, Carugo S. Systematic review and meta-analysis on coronary calcifications in COVID-19. Emerg Radiol. [DOI: 10.1007/s10140-022-02048-y] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
6 Cau R, Bassareo P, Cademartiri F, Saba L. Left atrial appendage strain and strain rate using cardiovascular magnetic resonance feature tracking: preliminary study on feasibility and reproducibility. Clin Radiol 2022:S0009-9260(22)00133-7. [PMID: 35396119 DOI: 10.1016/j.crad.2022.02.022] [Reference Citation Analysis]
7 Cau R, Loewe C, Cherchi V, Porcu M, Ciet P, Suri JS, Saba L. Atrial Impairment as a Marker in Discriminating Between Takotsubo and Acute Myocarditis Using Cardiac Magnetic Resonance. Journal of Thoracic Imaging 2022;Publish Ahead of Print. [DOI: 10.1097/rti.0000000000000650] [Reference Citation Analysis]
8 Cau R, Bassareo P, Deidda M, Caredda G, Suri JS, Pontone G, Saba L. Could CMR Tissue-Tracking and Parametric Mapping Distinguish Between Takotsubo Syndrome and Acute Myocarditis? A Pilot Study. Acad Radiol 2022;29 Suppl 4:S33-9. [PMID: 33487539 DOI: 10.1016/j.acra.2021.01.009] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
9 Cau R, Mantini C, Monti L, Mannelli L, Di Dedda E, Mahammedi A, Nicola R, Roubil J, Suri JS, Cerrone G, Fanni D, Faa G, Carriero A, Scuteri A, Francone M, Saba L. Role of imaging in rare COVID-19 vaccine multiorgan complications. Insights Imaging 2022;13. [DOI: 10.1186/s13244-022-01176-w] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
10 Nillmani, Jain PK, Sharma N, Kalra MK, Viskovic K, Saba L, Suri JS. Four Types of Multiclass Frameworks for Pneumonia Classification and Its Validation in X-ray Scans Using Seven Types of Deep Learning Artificial Intelligence Models. Diagnostics (Basel) 2022;12:652. [PMID: 35328205 DOI: 10.3390/diagnostics12030652] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
11 Paul S, Maindarkar M, Saxena S, Saba L, Turk M, Kalra M, Krishnan PR, Suri JS. Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson's Disease: A Narrative Review. Diagnostics (Basel) 2022;12:166. [PMID: 35054333 DOI: 10.3390/diagnostics12010166] [Cited by in Crossref: 11] [Cited by in F6Publishing: 6] [Article Influence: 11.0] [Reference Citation Analysis]
12 Cau R, Faa G, Nardi V, Balestrieri A, Puig J, Suri JS, Sanfilippo R, Saba L. Long-COVID diagnosis: from diagnostic to advanced AI-driven models. European Journal of Radiology 2022. [DOI: 10.1016/j.ejrad.2022.110164] [Cited by in Crossref: 9] [Cited by in F6Publishing: 3] [Article Influence: 9.0] [Reference Citation Analysis]
13 Suri JS, Agarwal S, Carriero A, Paschè A, Danna PSC, Columbu M, Saba L, Viskovic K, Mehmedović A, Agarwal S, Gupta L, Faa G, Singh IM, Turk M, Chadha PS, Johri AM, Khanna NN, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou A, Misra DP, Agarwal V, Kitas GD, Teji JS, Al-maini M, Dhanjil SK, Nicolaides A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Nagy F, Ruzsa Z, Gupta A, Naidu S, Paraskevas KI, Kalra MK. COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts. Diagnostics 2021;11:2367. [DOI: 10.3390/diagnostics11122367] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 9.0] [Reference Citation Analysis]
14 Hao W, Lin F, Shi H, Guan Z, Jiang Y. Long non-coding RNA OIP5-AS1 regulates smoke-related chronic obstructive pulmonary disease via targeting micro RNA -410-3p/IL-13. Bioengineered 2021;12:11664-76. [PMID: 34872453 DOI: 10.1080/21655979.2021.2000199] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
15 Suri JS, Agarwal S, Elavarthi P, Pathak R, Ketireddy V, Columbu M, Saba L, Gupta SK, Faa G, Singh IM, Turk M, Chadha PS, Johri AM, Khanna NN, Viskovic K, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou A, Misra DP, Agarwal V, Kitas GD, Teji JS, Al-Maini M, Dhanjil SK, Nicolaides A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Ferenc N, Ruzsa Z, Gupta A, Naidu S, Kalra MK. Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography. Diagnostics (Basel) 2021;11:2025. [PMID: 34829372 DOI: 10.3390/diagnostics11112025] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 10.0] [Reference Citation Analysis]
16 Khaleghi M, Aziz-Ahari A, Rezaeian N, Asadian S, Mounesi Sohi A, Motamedi O, Azhdeh S. The Valuable Role of Imaging Modalities in the Diagnosis of the Uncommon Presentations of COVID-19: An Educative Case Series. Case Rep Med 2021;2021:7213627. [PMID: 34691187 DOI: 10.1155/2021/7213627] [Reference Citation Analysis]
17 Cau R, Bassareo P, Caredda G, Suri JS, Esposito A, Saba L. Atrial Strain by Feature-Tracking Cardiac Magnetic Resonance Imaging in Takotsubo Cardiomyopathy. Features, Feasibility, and Reproducibility. Can Assoc Radiol J 2021;:8465371211042497. [PMID: 34615401 DOI: 10.1177/08465371211042497] [Cited by in Crossref: 2] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
18 Khani M, Tavana S, Tabary M, Naseri Kivi Z, Khaheshi I. Prognostic implications of biventricular strain measurement in COVID-19 patients by speckle-tracking echocardiography. Clin Cardiol 2021. [PMID: 34355809 DOI: 10.1002/clc.23708] [Cited by in F6Publishing: 4] [Reference Citation Analysis]
19 Suri JS, Agarwal S, Pathak R, Ketireddy V, Columbu M, Saba L, Gupta SK, Faa G, Singh IM, Turk M, Chadha PS, Johri AM, Khanna NN, Viskovic K, Mavrogeni S, Laird JR, Pareek G, Miner M, Sobel DW, Balestrieri A, Sfikakis PP, Tsoulfas G, Protogerou A, Misra DP, Agarwal V, Kitas GD, Teji JS, Al-Maini M, Dhanjil SK, Nicolaides A, Sharma A, Rathore V, Fatemi M, Alizad A, Krishnan PR, Frence N, Ruzsa Z, Gupta A, Naidu S, Kalra M. COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models. Diagnostics (Basel) 2021;11:1405. [PMID: 34441340 DOI: 10.3390/diagnostics11081405] [Cited by in Crossref: 24] [Cited by in F6Publishing: 15] [Article Influence: 24.0] [Reference Citation Analysis]
20 Sideris GA, Nikolakea M, Karanikola A, Konstantinopoulou S, Giannis D, Modahl L. Imaging in the COVID-19 era: Lessons learned during a pandemic. WJR 2021;13:193-223. [DOI: 10.4329/wjr.v13.i6.193] [Reference Citation Analysis]
21 Sideris GA, Nikolakea M, Karanikola AE, Konstantinopoulou S, Giannis D, Modahl L. Imaging in the COVID-19 era: Lessons learned during a pandemic. World J Radiol 2021; 13(6): 192-222 [PMID: 34249239 DOI: 10.4329/wjr.v13.i6.192] [Cited by in CrossRef: 6] [Cited by in F6Publishing: 2] [Article Influence: 6.0] [Reference Citation Analysis]
22 Galea N, Marchitelli L, Pambianchi G, Catapano F, Cundari G, Birtolo LI, Maestrini V, Mancone M, Fedele F, Catalano C, Francone M. T2-mapping increase is the prevalent imaging biomarker of myocardial involvement in active COVID-19: a Cardiovascular Magnetic Resonance study. J Cardiovasc Magn Reson 2021;23:68. [PMID: 34107985 DOI: 10.1186/s12968-021-00764-x] [Cited by in F6Publishing: 10] [Reference Citation Analysis]
23 Cau R, Pacielli A, Fatemeh H, Vaudano P, Arru C, Crivelli P, Stranieri G, Suri JS, Mannelli L, Conti M, Mahammedi A, Kalra M, Saba L. Complications in COVID-19 patients: Characteristics of pulmonary embolism. Clin Imaging 2021;77:244-9. [PMID: 34029929 DOI: 10.1016/j.clinimag.2021.05.016] [Cited by in Crossref: 2] [Cited by in F6Publishing: 11] [Article Influence: 2.0] [Reference Citation Analysis]
24 Mavrogeni SI, Kolovou G, Tsirimpis V, Kafetzis D, Tsolas G, Fotis L. The importance of heart and brain imaging in children and adolescents with Multisystem Inflammatory Syndrome in Children (MIS-C). Rheumatol Int 2021;41:1037-44. [PMID: 33864498 DOI: 10.1007/s00296-021-04845-z] [Cited by in Crossref: 2] [Cited by in F6Publishing: 10] [Article Influence: 2.0] [Reference Citation Analysis]
25 Goerlich E, Minhas AS, Mukherjee M, Sheikh FH, Gilotra NA, Sharma G, Michos ED, Hays AG. Multimodality Imaging for Cardiac Evaluation in Patients with COVID-19. Curr Cardiol Rep 2021;23:44. [PMID: 33721125 DOI: 10.1007/s11886-021-01483-6] [Cited by in Crossref: 3] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]