Edith M. Marom

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 10

Top Topics

Computer Tomography

Pulmonary Embolism

Top Venues

Patch-MI@MICCAI

Publications

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 (2022)
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)
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 (2021)
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)
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)
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)
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 (2018)
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) (2017)
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)
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)