| Efficient low-dose CT denoising by locally-consistent non-local means (LC-NLM) M Green, EM Marom, N Kiryati, E Konen, A Mayer Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 39 | 2016 |
| 3-D Neural denoising for low-dose Coronary CT Angiography (CCTA) M Green, EM Marom, E Konen, N Kiryati, A Mayer Computerized Medical Imaging and Graphics 70, 185-191, 2018 | 19 | 2018 |
| Learning real noise for ultra-low dose lung CT denoising M Green, EM Marom, E Konen, N Kiryati, A Mayer Patch-Based Techniques in Medical Imaging: 4th International Workshop, Patch …, 2018 | 10 | 2018 |
| A deep-learning method for the denoising of ultra-low dose chest CT in coronary artery calcium score evaluation M Klug, J Shemesh, M Green, A Mayer, A Kerpel, E Konen, EM Marom Clinical Radiology 77 (7), e509-e517, 2022 | 7 | 2022 |
| Ultra-Low Dose Chest CT with Denoising for Lung Nodule Detection. A Kerpel, EM Marom, M Green, M Eifer, E Konen, A Mayer, BC SL The Israel Medical Association Journal: IMAJ 23 (9), 550-555, 2021 | 6 | 2021 |
| Anisotropic neural deblurring for MRI acceleration M Mayberg, M Green, M Vasserman, D Raichman, E Belenky, M Wolf, ... International journal of computer assisted radiology and surgery, 1-13, 2022 | 5 | 2022 |
| A novel artificial intelligence based denoising method for ultra-low dose CT used for lung cancer screening L Gorenstein, A Onn, M Green, A Mayer, S Segev, EM Marom Academic Radiology 30 (11), 2588-2597, 2023 | 4 | 2023 |
| Method and system for providing a locally-consistent enhancement of a low-quality image A Mayer, M Green, N Kiryati, EM Marom, E Konen US Patent 10,719,921, 2020 | 3 | 2020 |
| Neural Denoising of Ultra-low Dose Mammography M Green, M Sklair-Levy, N Kiryati, E Konen, A Mayer Machine Learning for Medical Image Reconstruction: Second International …, 2019 | 3 | 2019 |
| Patient-specific image denoising for ultra-low-dose CT-guided lung biopsies M Green, EM Marom, E Konen, N Kiryati, A Mayer International journal of computer assisted radiology and surgery 12, 2145-2155, 2017 | 3 | 2017 |
| A neural regression framework for low-dose Coronary CT Angiography (CCTA) denoising M Green, EM Marom, N Kiryati, E Konen, A Mayer International Workshop on Patch-based Techniques in Medical Imaging, 102-110, 2017 | 3 | 2017 |
| BERT in radiology: a systematic review of natural language processing applications L Gorenstein, E Konen, M Green, E Klang Journal of the American College of Radiology, 2024 | 2 | 2024 |
| Feature Aggregation in Perceptual Loss for Ultra Low-Dose (ULD) CT Denoising G Michael, EM Marom, E Konen, K Nahum, M Arnaldo The IEEE International Symposium on Biomedical Imaging (ISBI), 2019 | 2 | 2019 |
| Liver attenuation assessment in reduced radiation chest computed tomography Z Kirshenboim, EM Marom, A Mayer, M Green, M Klug, N Tau Journal of Computer Assisted Tomography 46 (5), 682-687, 2022 | 1 | 2022 |
| Complementary Phase Encoding for Pair-Wise Neural Deblurring of Accelerated Brain MRI G Hod, M Green, M Waserman, E Konen, S Shrot, I Nelkenbaum, N Kiryati, ... European Conference on Computer Vision, 268-280, 2022 | | 2022 |
| Ultra-Low Dose Chest CT with Denoising for Lung Nodule Detection MD Ariel Kerpel, MD Michal Eifer, MD Eli Konen | | |
