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Disambiguation of "Katouzian, Amin"

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IVUS-Histology Image Registration.

, , , , and . WBIR, volume 7359 of Lecture Notes in Computer Science, page 141-149. Springer, (2012)

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Dr. rer. nat. Amin Totounferoush University of Stuttgart

Amin von Beckerath University of Stuttgart

Amin Soleimani Mehr University of Stuttgart

 

Other publications of authors with the same name

Supervised classification for customized intraoperative augmented reality visualization., , , , and . ISMAR, page 311-312. IEEE Computer Society, (2012)Transfer learning of tissue photon interaction in optical coherence tomography towardsin vivo histology of the oral mucosa., , , , , , , , , and 3 other author(s). ISBI, page 1389-1392. IEEE, (2014)Segmentation by retrieval with guided random walks: Application to left ventricle segmentation in MRI., , , and . Medical Image Analysis, 17 (2): 236-253 (2013)Confidence estimation in IVUS radio-frequency data with random walks., , , and . ISBI, page 1068-1071. IEEE, (2012)Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography., , , , , , , , , and 28 other author(s). Medical Image Analysis, 17 (8): 859-876 (2013)Fast Training of Support Vector Machines for Survival Analysis., , and . ECML/PKDD (2), volume 9285 of Lecture Notes in Computer Science, page 243-259. Springer, (2015)Cardiac MRI derived epicardial fat maps to assist VT ablation procedures for subjects with implantable devices., , , , , and . ISBI, page 747-750. IEEE, (2015)Maximum inner product search for morphological retrieval of large-scale neuron data., , , , , and . ISBI, page 602-606. IEEE, (2016)Joint learning of ultrasonic backscattering statistical physics and signal confidence primal for characterizing atherosclerotic plaques using intravascular ultrasound., , , , , , , , , and . Medical Image Analysis, 18 (1): 103-117 (2014)ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network., , , , , , and . CoRR, (2017)