Eyal Klang

Orcid: 0000-0002-4567-3108

According to our database1, Eyal Klang authored at least 22 papers between 2014 and 2022.

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Bibliography

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

Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

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

A Simple Free-Text-like Method for Extracting Semi-Structured Data from Electronic Health Records: Exemplified in Prediction of In-Hospital Mortality.
Big Data Cogn. Comput., 2021

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

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

2018
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification.
Neurocomputing, 2018

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

Fully automatic detection of renal cysts in abdominal CT scans.
Int. J. Comput. Assist. Radiol. Surg., 2018

Automatic liver volume segmentation and fibrosis classification.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Synthetic data augmentation using GAN for improved liver lesion classification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Anatomical data augmentation for CNN based pixel-wise classification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

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

Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2017

2016
Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions.
IEEE J. Biomed. Health Informatics, 2016

Fully Convolutional Network for Liver Segmentation and Lesions Detection.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

Sparsity-based liver metastases detection using learned dictionaries.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Multi-phase liver lesions classification using relevant visual words based on mutual information.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Automatic detection and segmentation of liver metastatic lesions on serial CT examinations.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014


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