Amin Katouzian, Ph.D.

2011 Biomedical Engineering Columbia University, New York, NY 
Biomedical, Biomechanics
"Amin Katouzian"


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Andrew Laine grad student 2011 Columbia
 (Quantifying Atherosclerosis: IVUS Imaging For Lumen Border Detection And Plaque Characterization.)
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Roy AG, Conjeti S, Karri SPK, et al. (2017) ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks. Biomedical Optics Express. 8: 3627-3642
Riva M, Hennersperger C, Milletari F, et al. (2017) 3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation. International Journal of Computer Assisted Radiology and Surgery
Pölsterl S, Gupta P, Wang L, et al. (2016) Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patients. F1000research. 5: 2676
Pölsterl S, Conjeti S, Navab N, et al. (2016) Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection. Artificial Intelligence in Medicine. 72: 1-11
Conjeti S, Katouzian A, Kazi A, et al. (2016) Metric hashing forests. Medical Image Analysis
Conjeti S, Mesbah S, Negahdar M, et al. (2016) Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image Databases. Neuroinformatics
Conjeti S, Katouzian A, Roy AG, et al. (2016) Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization. Medical Image Analysis. 32: 1-17
Shah A, Conjeti S, Navab N, et al. (2016) Deeply learnt hashing forests for content based image retrieval in prostate MR images Proceedings of Spie. 9784: 978414
Li Z, Shen F, Fang R, et al. (2016) Maximum inner product search for morphological retrieval of large-scale neuron data Proceedings - International Symposium On Biomedical Imaging. 2016: 602-606
Pölsterl S, Singh M, Katouzian A, et al. (2015) Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects. Bmc Medical Informatics and Decision Making. 15: 9
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