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Items: 9

1.

Fully Automated, Quality-Controlled Cardiac Analysis From CMR: Validation and Large-Scale Application to Characterize Cardiac Function.

Ruijsink B, Puyol-Antón E, Oksuz I, Sinclair M, Bai W, Schnabel JA, Razavi R, King AP.

JACC Cardiovasc Imaging. 2019 Jul 11. pii: S1936-878X(19)30585-6. doi: 10.1016/j.jcmg.2019.05.030. [Epub ahead of print]

2.

Accurate needle-free assessment of myocardial oxygenation for ischemic heart disease in canines using magnetic resonance imaging.

Yang HJ, Oksuz I, Dey D, Sykes J, Klein M, Butler J, Kovacs MS, Sobczyk O, Cokic I, Slomka PJ, Bi X, Li D, Tighiouart M, Tsaftaris SA, Prato FS, Fisher JA, Dharmakumar R.

Sci Transl Med. 2019 May 29;11(494). pii: eaat4407. doi: 10.1126/scitranslmed.aat4407.

PMID:
31142677
3.

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.

Oksuz I, Ruijsink B, Puyol-Antón E, Clough JR, Cruz G, Bustin A, Prieto C, Botnar R, Rueckert D, Schnabel JA, King AP.

Med Image Anal. 2019 Jul;55:136-147. doi: 10.1016/j.media.2019.04.009. Epub 2019 Apr 22.

4.

Egr2-dependent microRNA-138 is dispensable for peripheral nerve myelination.

Lin HP, Oksuz I, Svaren J, Awatramani R.

Sci Rep. 2018 Feb 28;8(1):3817. doi: 10.1038/s41598-018-22010-8.

5.

Unsupervised Myocardial Segmentation for Cardiac BOLD.

Oksuz I, Mukhopadhyay A, Dharmakumar R, Tsaftaris SA.

IEEE Trans Med Imaging. 2017 Nov;36(11):2228-2238. doi: 10.1109/TMI.2017.2726112. Epub 2017 Jul 12.

6.

Statistical shape modeling of the left ventricle: myocardial infarct classification challenge.

Suinesiaputra A, Ablin P, Alba X, Alessandrini M, Allen J, Bai W, Cimen S, Claes P, Cowan BR, D'hooge J, Duchateau N, Ehrhardt J, Frangi AF, Gooya A, Grau V, Lekadir K, Lu A, Mukhopadhyay A, Oksuz I, Parajali N, Pennec X, Pereanez M, Pinto C, Piras P, Rohe MM, Rueckert D, Saring D, Sermesant M, Siddiqi K, Tabassian M, Teresi L, Tsaftaris SA, Wilms M, Young AA, Zhang X, Medrano-Gracia P.

IEEE J Biomed Health Inform. 2018 Mar;22(2):503-515. doi: 10.1109/JBHI.2017.2652449. Epub 2017 Jan 17.

7.

Microprocessor complex subunit DiGeorge syndrome critical region gene 8 (Dgcr8) is required for schwann cell myelination and myelin maintenance.

Lin HP, Oksuz I, Hurley E, Wrabetz L, Awatramani R.

J Biol Chem. 2015 Oct 2;290(40):24294-307. doi: 10.1074/jbc.M115.636407. Epub 2015 Aug 13.

8.

Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study.

Rudyanto RD, Kerkstra S, van Rikxoort EM, Fetita C, Brillet PY, Lefevre C, Xue W, Zhu X, Liang J, Öksüz I, Ünay D, Kadipaşaoğlu K, Estépar RS, Ross JC, Washko GR, Prieto JC, Hoyos MH, Orkisz M, Meine H, Hüllebrand M, Stöcker C, Mir FL, Naranjo V, Villanueva E, Staring M, Xiao C, Stoel BC, Fabijanska A, Smistad E, Elster AC, Lindseth F, Foruzan AH, Kiros R, Popuri K, Cobzas D, Jimenez-Carretero D, Santos A, Ledesma-Carbayo MJ, Helmberger M, Urschler M, Pienn M, Bosboom DG, Campo A, Prokop M, de Jong PA, Ortiz-de-Solorzano C, Muñoz-Barrutia A, van Ginneken B.

Med Image Anal. 2014 Oct;18(7):1217-32. doi: 10.1016/j.media.2014.07.003. Epub 2014 Jul 23.

9.

Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography.

Kirişli HA, Schaap M, Metz CT, Dharampal AS, Meijboom WB, Papadopoulou SL, Dedic A, Nieman K, de Graaf MA, Meijs MF, Cramer MJ, Broersen A, Cetin S, Eslami A, Flórez-Valencia L, Lor KL, Matuszewski B, Melki I, Mohr B, Oksüz I, Shahzad R, Wang C, Kitslaar PH, Unal G, Katouzian A, Örkisz M, Chen CM, Precioso F, Najman L, Masood S, Ünay D, van Vliet L, Moreno R, Goldenberg R, Vuçini E, Krestin GP, Niessen WJ, van Walsum T.

Med Image Anal. 2013 Dec;17(8):859-76. doi: 10.1016/j.media.2013.05.007. Epub 2013 Jun 4.

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