| On texture and image interpolation using Markov models S Nemirovsky, M Porat Signal Processing: Image Communication 24 (3), 139-157, 2009 | 30 | 2009 |
| Sensitivity of MUSIC and Root-MUSIC to gain calibration errors of 2D arbitrary array configuration S Nemirovsky, MA Doron Processing Workshop Proceedings, 2004 Sensor Array and Multichannel Signal …, 2004 | 17 | 2004 |
| Interdisciplinary Education-The Case of Biomedical Signal Processing K Mike, S Nemirovsky-Rotman, O Hazzan 2020 IEEE global engineering education conference (EDUCON), 339-343, 2020 | 10 | 2020 |
| Simultaneous compression and de-speckling of medical ultrasound images SN Rotman, Z Friedman, M Porat 2019 IEEE International Ultrasonics Symposium (IUS), 1448-1450, 2019 | 3 | 2019 |
| Simultaneous Compression and Speckle Reduction of Clinical Breast and Fetal Ultrasound Images Using Rate-Fidelity Optimized Coding MP S. Nemirovsky-Rotman, Z. Friedman, D. Fischer, A. Chernihovsky, K. Sharbel Ultrasonics 110, 2021 | 2 | 2021 |
| Method and system for processing an image according to deterministic and stochastic fields S Nemirovsky, M Porat US Patent 8,537,172, 2013 | 2 | 2013 |
| Explicit Physics-Informed Deep Learning for Computer-Aided Diagnostic Tasks in Medical Imaging EB Shira Nemirovsky-Rotman Machine Learning and Knowledge Extraction (MAKE) 6 (https://www.mdpi.com …, 2024 | 1* | 2024 |
| SUPER-IVIM-DC: Intra-voxel incoherent motion based Fetal lung maturity assessment from limited DWI data using supervised learning coupled with data-consistency N Korngut, E Rotman, O Afacan, S Kurugol, Y Zaffrani-Reznikov, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 1 | 2022 |
| Physically-Motivated Deep-Neural Networks of the Intravoxel Incoherent Motion Signal Decay Model for Quantitative Diffusion-Weighted MRI SWMF S. Nemirovsky-Rotman, E. Rotman, O. Afacan, S. Kurugol Annual conference of the ISMRM (International Society of Magnetic Resonance …, 2021 | 1* | 2021 |
| On the Statistics of Wide-Sense Markov Random Fields and its Application to Texture Interpolation S Nemirovsky, M Porat CCIT Report, 2008 | 1 | 2008 |
| Estimating parameters of a model that is non-linear and is more complex than a log-linear model MP Freiman, S Nemirovsky-Rotman US Patent App. 18/557,588, 2024 | | 2024 |
| SimDeCCom: Simultaneous De-Cluttering and Compression for Real-Time Ultrasound Imaging S Nemirovsky-Rotman, Z Friedman, M Porat 2021 IEEE International Ultrasonics Symposium (IUS), 1-4, 2021 | | 2021 |
| Context-Based Coding of Ultrasound Medical Images using Shape-Adaptive Transform Representation S Nemirovsky-Rotman, Z Friedman, M Porat 2021 IEEE International Ultrasonics Symposium (IUS), 1-3, 2021 | | 2021 |
| [P057] Diagnostically-preserving compression of ultrasound images based on adaptive quantization S Nemirovsky-Rotman, M Porat, Z Friedman Physica Medica: European Journal of Medical Physics 52, 116, 2018 | | 2018 |
| On wide-sense Markov random fields and their application to improved texture interpolation S Nemirovsky, M Porat 2008 16th European Signal Processing Conference, 1-5, 2008 | | 2008 |
M. PoratDepartment of Electrical & Computer Engineering, Technion, Israel在 ieee.org 的电子邮件经过验证
