| Approximate Computing W Liu, F Lombardi Springer, 2022 | 955 | 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 | 607 | 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 | 248 | 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 | 183 | 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 | 164 | 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 | 144 | 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 | 99 | 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 | 86 | 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 | 85 | 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 | 73 | 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 | 64 | 2016 |
| An efficient training algorithm for kernel survival support vector machines S Pölsterl, N Navab, A Katouzian arXiv preprint arXiv:1611.07054, 2016 | 57 | 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 | 48 | 2017 |
| 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 | 46 | 2016 |
| 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 | 46 | 2015 |
| 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 | 37 | 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 | 36 | 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 | 35 | 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 | 34 | 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 | 32 | 2017 |
