Eli Konen

Orcid: 0000-0001-9507-2450

According to our database1, Eli Konen authored at least 39 papers between 2009 and 2024.

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Bibliography

2024
X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning.
CoRR, 2024

2022
Weakly supervised attention model for RV strain classification from volumetric CTPA scans.
Comput. Methods Programs Biomed., 2022

Anisotropic neural deblurring for MRI acceleration.
Int. J. Comput. Assist. Radiol. Surg., 2022

Weakly Supervised Multimodal 30-Day All-Cause Mortality Prediction for Pulmonary Embolism Patients.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Complementary Phase Encoding for Pair-Wise Neural Deblurring of Accelerated Brain MRI.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Neural Registration and Segmentation of White Matter Tracts in Multi-modal Brain MRI.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans.
CoRR, 2021

RV strain classification from 3D CTPA scans using weakly supervised residual attention model.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
Neural Segmentation of Seeding ROIs (sROIs) for Pre-Surgical Brain Tractography.
IEEE Trans. Medical Imaging, 2020

Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet).
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Labeling of Multilingual Breast MRI Reports.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound.
Proceedings of the Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures, 2020

V-Net Light - Parameter-Efficient 3-D Convolutional Neural Network for Prostate MRI Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Automatic Segmentation of White Matter Tracts Using Multiple Brain MRI Sequences.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection.
Eng. Appl. Artif. Intell., 2019

The Liver Tumor Segmentation Benchmark (LiTS).
CoRR, 2019

Classification of contrast-enhanced spectral mammography (CESM) images.
Int. J. Comput. Assist. Radiol. Surg., 2019

Neural Denoising of Ultra-low Dose Mammography.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Feature Aggregation in Perceptual Loss for Ultra Low-Dose (ULD) CT Denoising.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations.
Neurocomputing, 2018

3-D Neural denoising for low-dose Coronary CT Angiography (CCTA).
Comput. Medical Imaging Graph., 2018

Chest pathology identification using deep feature selection with non-medical training.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Learning Real Noise for Ultra-Low Dose Lung CT Denoising.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

Pneumothorax detection in chest radiographs using convolutional neural network.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification.
IEEE Trans. Biomed. Eng., 2017

Patient-specific image denoising for ultra-low-dose CT-guided lung biopsies.
Int. J. Comput. Assist. Radiol. Surg., 2017

A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Chest Radiograph Pathology Categorization via Transfer Learning.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
Deformable registration of trans-rectal ultrasound (TRUS) and magnetic resonance imaging (MRI) for focal prostate brachytherapy.
Int. J. Comput. Assist. Radiol. Surg., 2016

Efficient Low-Dose CT Denoising by Locally-Consistent Non-Local Means (LC-NLM).
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

A system for automatic aorta sections measurements on chest CT.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Localized Fisher vector representation for pathology detection in chest radiographs.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Automatic classification of cancer cells in multispectral microscopic images of lymph node samples.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Pneumothorax detection in chest radiographs using local and global texture signatures.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Chest pathology detection using deep learning with non-medical training.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2011
X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words.
IEEE Trans. Medical Imaging, 2011

System for pathology categorization and retrieval in chest radiographs.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

2010
Chest x-ray characterization: from organ identification to pathology categorization.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

2009
X-Ray Image Categorization and Retrieval Using Patch-Based Visual Words Representation.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009


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