Amin Katouzian  Amin Katouzian photo       

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Research Staff Member
Almaden Research Center, San Jose, CA, USA

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2017

Coupled manifold learning for retrieval across modalities
Sailesh Conjeti, Anees Kazi, Amin Katouzian, Nassir Nabab
International conference on computer vision (ICCV) workshop on Manifold Learning: from Euclid to Riemann, 2017

ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Networks
Sailesh Conjeti, Abhijit Guha Roy, Debdoot Sheet, Amin Katouzian, Christian Wachinger, Nassir Navab
Biomedical Optics Express, 2017

Error corrective boosting for learning fully convolutional networks with limited data
Abhijit Guha Roy, Sailesh Conjeti, Debdoot Sheet, Amin Katouzian, Nassir Navab, Christian Wachinger
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017

Learning Robust Hash Codes for Multiple Instance Image Retrieval
Sailesh Conjeti, Magdalini Paschali, Amin Katouzian, Nassir Navab
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017

Hashing with Residual Networks for Image Retrieval
Sailesh Conjeti, Abhijit Guha Roy, Amin Katouzian, Nassir Navab
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017

Domain adapted model for in vivo intravascular ultrasound tissue characterization
Sailesh Conjeti, Abhijit Guha Roy, Debdoot Sheet, Tanveer S. Mahmood, Nassir Navab, Amin Katouzian
Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, 2017

3D Intra-operative ultrasound and MR image-guidance: pursuing an ultrasound-based management of brain shift to enhance neuro-navigation
Christoph Hennersperger, Marco Riva, Fausto Milletari, Amin Katouzian, Federico Pessina, Ingut Becker, Castellano Antollena, Nassir Navab, Lorenzo Bello
Computer Assisted Radiology and Surgery, 2017


2016

Multi scale distribution preserving auto encoders for plaque detection in intravascular optical coherence tomography
Abhijit Guha Roy, Sailesh Conjeti, Stephane Carlier, Khalil Huissa, Andreas Konig, Pranab Dutta, Andrew Laine, Nassir Navab, Amin Katouzian, Debdoot Sheet
ISBI, 2016

Deeply learnt hashing forests for content based image retrieval in prostate MR images
Amit Shah, Sailesh Conjeti, Nassir Navab, Amin Katouzian
SPIE Medical Imaging , 2016

Metric Hashing Forests
Amin Katouzian, Sailesh Conjeti, Anees Kazi, Sepideh Mesbah, David Beymer, Tanveer S. Mahmood, Nassir Navab
special issue in Medical Image Analysis 34, 13-29, 2016

Survival Analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection
Sebastian Polsterl, Saliese Conjeti, Nassir Navab, Amin Katouzian
Artificial Intelligence in Medicine 72, 1-11, 2016

Indexing and mining large-scale neuron databases using maximum inner product search
Zhongyu Li, Ruogu Fang, Fumin Shen, Amin Katouzian, Shaoting Zhang
Pattern Recognition, 2016

Neuron-Miner: An Advanced Tool for Morphological Search and Retrieval in Neuroscientific Image Databases
Sailesh Conjeti, Sepideh Mesbah, Mohammadreza Negahdar, Philipp Rautenberg, Shaoting Zhang, Nassir Navab, Amin Katouzian
Neuroinformatics 14(4), 369-385, 2016

Supervised Domain Adaptation of Decision Forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization
Amin Katouzian, Sailesh Conjeti, Abhijit Guha Roy, Loic Peter, Debdoot Sheet, Stephane Carlier, Andrew Laine, Nassir Navab
Medical Image Analysis32, 1-17, 2016

Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks
Abhijit Guha Roy, Sailesh Conjeti, Stephane Carlier, Pranav Dutta, Adnan Kastrati, Andrew Laine, Nassir Navab, Amin Katouzian, Debdoot Sheet
IEEE Biomedical Health Informatics 20(2), 606-614, 2016


2015

Fast Training of Support Vector Machines for Survival Analysis
Sebastian Polsterl, Nassir Navab, Amin Katouzian
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, pp. 243-259, 2015

Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects
Sebastian Polsterl, Maneesh Singh, Amin Katouzian, Nassir Navab, Adnan Kastrati, Lance Ladic, Ali Kamen
Medical Informatics and Decision Making 15(9), 2015