Eyal Klang

发表

Automatic liver volume segmentation and fibrosis classification

Hayit Greenspan, Evgeny Bal, Eyal Klang, 2018, Medical Imaging.

Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19

Riccardo Miotto, Tingyi Wanyan, Kipp W. Johnson, 2020, medRxiv.

Sparsity-based liver metastases detection using learned dictionaries

Hayit Greenspan, Eyal Klang, Michal Amitai, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions

Hayit Greenspan, Daniel L. Rubin, Assaf Hoogi, 2016, IEEE Journal of Biomedical and Health Informatics.

Multi-phase liver lesions classification using relevant visual words based on mutual information

Hayit Greenspan, Jacob Goldberger, Eyal Klang, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Automated method for detection and segmentation of liver metastatic lesions in follow-up CT examinations

Hayit Greenspan, Eyal Klang, Idit Diamant, 2015, Journal of medical imaging.

GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification

Hayit Greenspan, Jacob Goldberger, Maayan Frid-Adar, 2018, Neurocomputing.

Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification

Hayit Greenspan, Jacob Goldberger, Eli Konen, 2017, IEEE Transactions on Biomedical Engineering.

Deep Learning for Natural Language Processing in Radiology-Fundamentals and a Systematic Review.

Eli Konen, Eyal Klang, Vera Sorin, 2020, Journal of the American College of Radiology : JACR.

Automatic detection and segmentation of liver metastatic lesions on serial CT examinations

Hayit Greenspan, Eyal Klang, Michal Amitai, 2014, Medical Imaging.

Fully automatic detection of renal cysts in abdominal CT scans

Nahum Kiryati, Arnaldo Mayer, Eyal Klang, 2018, International Journal of Computer Assisted Radiology and Surgery.

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

Hayit Greenspan, Eli Konen, Eyal Klang, 2018, Neurocomputing.

Creating Artificial Images for Radiology Applications Using Generative Adversarial Networks (GANs) - A Systematic Review.

Eli Konen, Eyal Klang, Vera Sorin, 2020, Academic radiology.

Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN

Hayit Greenspan, Jacob Goldberger, Maayan Frid-Adar, 2017, Patch-MI@MICCAI.

Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans pdf

Hayit Greenspan, Edith M. Marom, Eli Konen, 2021, Comput. Methods Programs Biomed..

RV strain classification from 3D CTPA scans using weakly supervised residual attention model

Hayit Greenspan, Edith M. Marom, Eli Konen, 2021, Medical Imaging.

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

Eyal Klang, Matthew A. Levin, Brendan G. Carr, 2021, Big Data Cogn. Comput..

MEWS++: Enhancing the Prediction of Clinical Deterioration in Admitted Patients through a Machine Learning Model

Prem Timsina, Max S. Tomlinson, Joel T Dudley, 2020, Journal of clinical medicine.

CT measurement of breast glandular tissue and its association with testicular cancer

Edith M. Marom, Eli Konen, Eyal Klang, 2017, European Radiology.

Comparison of deep learning models for natural language processing-based classification of non-English head CT reports

Eli Konen, Eyal Klang, Eyal Zimlichman, 2020, Neuroradiology.

Prevalence and awareness of sacroiliac joint alterations on lumbar spine CT in low back pain patients younger than 40 years

Eyal Klang, Merav Lidar, Iris Eshed, 2017, Acta radiologica.

Deep learning for wireless capsule endoscopy: a systematic review and meta-analysis.

Eyal Klang, Yiftach Barash, Shelly Soffer, 2020, Gastrointestinal endoscopy.