 Connection
Ihab Kamel to Algorithms
This is a "connection" page, showing publications Ihab Kamel has written about Algorithms.
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Connection Strength |
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2.250 |
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Ameli S, Shaghaghi M, Aliyari Ghasabeh M, Pandey P, Hazhirkarzar B, Ghadimi M, Rezvani Habibabadi R, Khoshpouri P, Pandey A, Anders RA, Kamel IR. Role of baseline volumetric functional MRI in predicting histopathologic grade and patients' survival in hepatocellular carcinoma. Eur Radiol. 2020 Jul; 30(7):3748-3758.
Score: 0.383
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Rezvani Habibabadi R, Khoshpouri P, Ghadimi M, Shaghaghi M, Ameli S, Hazhirkarzar B, Pandey P, Aliyari Ghasabeh M, Pandey A, Kamel IR. Comparison between ROI-based and volumetric measurements in quantifying heterogeneity of liver stiffness using MR elastography. Eur Radiol. 2020 Mar; 30(3):1609-1615.
Score: 0.374
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Li H, Liang L, Li A, Hu Y, Hu D, Li Z, Kamel IR. Monoexponential, biexponential, and stretched exponential diffusion-weighted imaging models: Quantitative biomarkers for differentiating renal clear cell carcinoma and minimal fat angiomyolipoma. J Magn Reson Imaging. 2017 07; 46(1):240-247.
Score: 0.304
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Pozzessere C, Porter KK, Kamel IR. Surveillance liver MRI for monitoring patients with known or suspected chronic liver disease. Clin Radiol. 2017 Jan; 72(1):93.e7-93.e13.
Score: 0.302
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Ou HY, Bonekamp S, Bonekamp D, Corona-Villalobos CP, Torbenson MS, Geiger B, Kamel IR. MRI arterial enhancement fraction in hepatic fibrosis and cirrhosis. AJR Am J Roentgenol. 2013 Oct; 201(4):W596-602.
Score: 0.245
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Luo Y, Ameli S, Pandey A, Khoshpouri P, Ghasabeh MA, Pandey P, Li Z, Hu D, Kamel IR. Semi-quantitative visual assessment of hepatic tumor burden can reliably predict survival in neuroendocrine liver metastases treated with transarterial chemoembolization. Eur Radiol. 2019 Nov; 29(11):5804-5812.
Score: 0.090
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Zarghampour M, Fouladi DF, Pandey A, Ghasabeh MA, Pandey P, Varzaneh FN, Khoshpouri P, Shao N, Pan L, Grimm R, Kamel IR. Utility of volumetric contrast-enhanced and diffusion-weighted MRI in differentiating between common primary hypervascular liver tumors. J Magn Reson Imaging. 2018 10; 48(4):1080-1090.
Score: 0.084
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Orgeron GM, Te Riele A, Tichnell C, Wang W, Murray B, Bhonsale A, Judge DP, Kamel IR, Zimmerman SL, Tandri H, Calkins H, James CA. Performance of the 2015 International Task Force Consensus Statement Risk Stratification Algorithm for Implantable Cardioverter-Defibrillator Placement in Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy. Circ Arrhythm Electrophysiol. 2018 02; 11(2):e005593.
Score: 0.083
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Megibow AJ, Baker ME, Morgan DE, Kamel IR, Sahani DV, Newman E, Brugge WR, Berland LL, Pandharipande PV. Management of Incidental Pancreatic Cysts: A White Paper of the ACR Incidental Findings Committee. J Am Coll Radiol. 2017 Jul; 14(7):911-923.
Score: 0.079
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Bonekamp D, Bonekamp S, Halappa VG, Geschwind JF, Eng J, Corona-Villalobos CP, Pawlik TM, Kamel IR. Interobserver agreement of semi-automated and manual measurements of functional MRI metrics of treatment response in hepatocellular carcinoma. Eur J Radiol. 2014 Mar; 83(3):487-96.
Score: 0.062
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Zhong Z, Wang Y, Bi L, Ma Z, Ahn SH, Mullin CJ, Greineder CF, Atalay MK, Collins S, Baird GL, Lin CT, Stayman JW, Kolb TM, Kamel I, Bai HX, Jiao Z. Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for pulmonary embolism diagnosis and report generation from CTPA. Med Image Anal. 2026 Jan; 107(Pt A):103786.
Score: 0.035
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Nguyen DT, Imami M, Zhao LM, Wu J, Borhani A, Mohseni A, Khunte M, Zhong Z, Shi V, Yao S, Wang Y, Loizou N, Silva AC, Zhang PJ, Zhang Z, Jiao Z, Kamel I, Liao WH, Bai H. Federated Learning for Renal Tumor Segmentation and Classification on Multi-Center MRI Dataset. J Magn Reson Imaging. 2025 Sep; 62(3):814-824.
Score: 0.034
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Parikh ND, Jones P, Salgia R, Bhan I, Grinspan LT, Jou JH, Zhou K, Jalal P, Roccaro G, Rangnekar AS, Benhammou JN, Pillai A, Mehta N, Wedd J, Yang JD, Kim AK, Duarte-Rojo A, Oloruntoba OO, Tevar A, Au JS, Blain Y, Rao S, Catalano OA, Lewis S, Mendiratta-Lala M, King K, Sachdev L, Lee EW, Bruno J, Kamel I, Tolosa C, Kao K, Badawi T, Przybyszewski EM, Quirk L, Nathani P, Haydel B, Leven E, Wong N, Albertian R, Chen A, Aloor FZ, Mohamed IB, Elkheshen A, Marvil C, Issac G, Clinton JW, Woo SM, Yum J, Rieger E, Hutchison AL, Turner DA, Alsudaney M, Hernandez P, Xu Z, Khalid A, Barrick B, Wang B, Tapper EB, Hao W, Singal AG. Development and Validation of a Noninvasive Model for the Detection of High-Risk Varices in Patients With Unresectable Hepatocellular Carcinoma. Clin Gastroenterol Hepatol. 2025 Feb; 23(2):281-290.e4.
Score: 0.032
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Li S, Zhou Z, Gao M, Liao Z, He K, Qu W, Li J, Kamel IR, Chu Q, Zhang Q, Li Z. Incremental value of automatically segmented perirenal adipose tissue for pathological grading of clear cell renal cell carcinoma: a multicenter cohort study. Int J Surg. 2024 Jul 01; 110(7):4221-4230.
Score: 0.032
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Danis N, Weeks SR, Kim A, Baghdadi A, Ghadimi M, Kamel IR, Saberi B, Woreta T, Garonzik-Wang J, Philosophe B, Gurakar A, Loomba R. Noninvasive Risk Stratification for Nonalcoholic Fatty Liver Disease Among Living Liver Donor Candidates: A Proposed Algorithm. Liver Transpl. 2022 04; 28(4):670-677.
Score: 0.027
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Thomasian NM, Kamel IR, Bai HX. Machine intelligence in non-invasive endocrine cancer diagnostics. Nat Rev Endocrinol. 2022 02; 18(2):81-95.
Score: 0.027
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Jia AY, Popovic A, Mohan AA, Zorzi J, Griffith P, Kim AK, Anders RA, Burkhart RA, Lafaro K, Georgiades C, Azad NS, Liddell RP, Baretti M, Kamel IR, Narang A, Yarchoan M, Meyer J. Development, Practice Patterns, and Early Clinical Outcomes of a Multidisciplinary Liver Cancer Clinic. Cancer Control. 2021 Jan-Dec; 28:10732748211009945.
Score: 0.025
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Wang Y, Hu D, Yu H, Shen Y, Tang H, Kamel IR, Li Z. Comparison of the Diagnostic Value of Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MRI in Differentiating Tumor Stage and Histological Grade of Bladder Cancer. Acad Radiol. 2019 02; 26(2):239-246.
Score: 0.021
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Fayad LM, Kamel IR, Kawamoto S, Bluemke DA, Frassica FJ, Fishman EK. Distinguishing stress fractures from pathologic fractures: a multimodality approach. Skeletal Radiol. 2005 May; 34(5):245-59.
Score: 0.008
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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