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Edith M. Marom
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2020 – today
- 2024
- [c7]Michael Green, Edith M. Marom, Arnaldo Mayer:
Perceptual Transformer Loss for the Neural Denoising of Ultra-Low Dose CT. ISBI 2024: 1-5 - 2022
- [j3]Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan:
Weakly supervised attention model for RV strain classification from volumetric CTPA scans. Comput. Methods Programs Biomed. 220: 106815 (2022) - [c6]Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan:
Weakly Supervised Multimodal 30-Day All-Cause Mortality Prediction for Pulmonary Embolism Patients. ISBI 2022: 1-4 - 2021
- [c5]Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan:
RV strain classification from 3D CTPA scans using weakly supervised residual attention model. Medical Imaging: Computer-Aided Diagnosis 2021 - [i1]Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan:
Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans. CoRR abs/2107.12009 (2021)
2010 – 2019
- 2019
- [c4]Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
Feature Aggregation in Perceptual Loss for Ultra Low-Dose (ULD) CT Denoising. ISBI 2019: 1635-1638 - 2018
- [j2]Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
3-D Neural denoising for low-dose Coronary CT Angiography (CCTA). Comput. Medical Imaging Graph. 70: 185-191 (2018) - [c3]Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
Learning Real Noise for Ultra-Low Dose Lung CT Denoising. Patch-MI@MICCAI 2018: 3-11 - 2017
- [j1]Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
Patient-specific image denoising for ultra-low-dose CT-guided lung biopsies. Int. J. Comput. Assist. Radiol. Surg. 12(12): 2145-2155 (2017) - [c2]Michael Green, Edith M. Marom, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising. Patch-MI@MICCAI 2017: 102-110 - 2016
- [c1]Michael Green, Edith M. Marom, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
Efficient Low-Dose CT Denoising by Locally-Consistent Non-Local Means (LC-NLM). MICCAI (3) 2016: 423-431
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last updated on 2024-09-09 00:18 CEST by the dblp team
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