Amin Katouzian
Amin Katouzian
CEO & Co-fouder, Rally Behind You
Verified email at - Homepage
Cited by
Cited by
Approximate Computing
W Liu, F Lombardi
Springer, 2022
ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks
AG Roy, S Conjeti, SPK Karri, D Sheet, A Katouzian, C Wachinger, ...
Biomedical optics express 8 (8), 3627-3642, 2017
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography
HA Kirişli, M Schaap, CT Metz, AS Dharampal, WB Meijboom, ...
Medical image analysis 17 (8), 859-876, 2013
A State of The Art Review on Segmentation Algorithms in Intravascular Ultrasound (IVUS) Images
A Katouzian, E Angelini, S Carlier, J Suri, N Navab, A Laine
IEEE, 2012
Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open …
J Guinney, T Wang, TD Laajala, KK Winner, JC Bare, EC Neto, SA Khan, ...
The Lancet Oncology 18 (1), 132-142, 2017
Fast training of support vector machines for survival analysis
S Pölsterl, N Navab, A Katouzian
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2015
Error corrective boosting for learning fully convolutional networks with limited data
AG Roy, S Conjeti, D Sheet, A Katouzian, N Navab, C Wachinger
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
Segmentation By Retrieval With Guided Random Walks: Application To Left Ventricle Segmentation in MRI
A Eslami, A Karamalis, A Katouzian, N Navab
Medical image analysis, 2012
Challenges in atherosclerotic plaque characterization with intravascular ultrasound (IVUS): From data collection to classification
A Katouzian, S Sathyanarayana, B Baseri, EE Konofagou, S Carlier
Information Technology in Biomedicine, IEEE Transactions on 12 (3), 315-327, 2008
A new automated technique for left-and right-ventricular segmentation in magnetic resonance imaging
A Katouzian, A Prakash, E Konofagou
2006 International Conference of the IEEE Engineering in Medicine and …, 2006
Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection
S Pölsterl, S Conjeti, N Navab, A Katouzian
Artificial intelligence in medicine 72, 1-11, 2016
An efficient training algorithm for kernel survival support vector machines
S Pölsterl, N Navab, A Katouzian
arXiv preprint arXiv:1611.07054, 2016
3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation
M Riva, C Hennersperger, F Milletari, A Katouzian, F Pessina, ...
International journal of computer assisted radiology and surgery 12, 1711-1725, 2017
Lumen segmentation in intravascular optical coherence tomography using backscattering tracked and initialized random walks
AG Roy, S Conjeti, SG Carlier, PK Dutta, A Kastrati, AF Laine, N Navab, ...
IEEE journal of biomedical and health informatics 20 (2), 606-614, 2015
Deeply learnt hashing forests for content based image retrieval in prostate MR images
A Shah, S Conjeti, N Navab, A Katouzian
Medical Imaging 2016: Image Processing 9784, 302-307, 2016
Automatic detection of blood versus non-blood regions on intravascular ultrasound (IVUS) images using wavelet packet signatures
A Katouzian, B Baseri, EE Konofagou, AF Laine
Medical imaging 2008: Ultrasonic imaging and signal processing: 17-18 …, 2008
Hashing with residual networks for image retrieval
S Conjeti, AG Roy, A Katouzian, N Navab
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
Iterative Self-Organizing Atherosclerotic Tissue Labeling in Intravascular Ultrasound Images and Comparison with Virtual Histology
A Katouzian, A Karamalis, E Konofagou, B Baseri, S Carlier, A Koenig, ...
IEEE, 2012
Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patients
S Pölsterl, P Gupta, L Wang, S Conjeti, A Katouzian, N Navab
F1000Research 5, 2016
Deep multiple instance hashing for scalable medical image retrieval
S Conjeti, M Paschali, A Katouzian, N Navab
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
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