Eyal Klang

According to our database, Eyal Klang authored at least 26 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A strategy for cost-effective large language model use at health system-scale.

Eyal Klang, Donald Apakama, Ethan E. Abbott, Akhil Vaid, Joshua Lampert, Ankit Sakhuja, Robert Freeman, Alexander W. Charney, David Reich, Monica Kraft, Girish N. Nadkarni, Benjamin S. Glicksberg

npj Digit. Medicine, 2024

Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room.

Benjamin S. Glicksberg, Prem Timsina, Dhaval Patel, Ashwin Sawant, Akhil Vaid, Ganesh Raut, Alexander W. Charney, Donald Apakama, Brendan G. Carr, Robert Freeman, Girish N. Nadkarni, Eyal Klang

J. Am. Medical Informatics Assoc., 2024

Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services.

Dhavalkumar Patel, Ganesh Raut, Satya Narayan Cheetirala, Girish N. Nadkarni, Robert Freeman, Benjamin S. Glicksberg, Eyal Klang, Prem Timsina

CoRR, 2024

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

Noa Cahan, Eyal Klang, Galit Aviram, Yiftach Barash, Eli Konen, Raja Giryes, Hayit Greenspan

CoRR, 2024

2022

Weakly supervised attention model for RV strain classification from volumetric CTPA scans.

Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan

Comput. Methods Programs Biomed., 2022

Weakly Supervised Multimodal 30-Day All-Cause Mortality Prediction for Pulmonary Embolism Patients.

Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.

Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng

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.

Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan

CoRR, 2021

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, Shelly Soffer, Alexis Zebrowski, Benjamin S. Glicksberg, Brendan G. Carr, Jolion Mcgreevy, David L. Reich, Robert Freeman

Big Data Cogn. Comput., 2021

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

Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan

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.

Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan

Eng. Appl. Artif. Intell., 2019

The Liver Tumor Segmentation Benchmark (LiTS).

Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze

CoRR, 2019

2018

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

Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan

Neurocomputing, 2018

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

Avi Ben-Cohen, Eyal Klang, Ariel Kerpel, Eli Konen, Michal Amitai, Hayit Greenspan

Neurocomputing, 2018

Fully automatic detection of renal cysts in abdominal CT scans.

Neta Blau, Eyal Klang, Nahum Kiryati, Michal Marianne Amitai, Orith Portnoy, Arnaldo Mayer

Int. J. Comput. Assist. Radiol. Surg., 2018

Automatic liver volume segmentation and fibrosis classification.

Evgeny Bal, Eyal Klang, Michal Amitai, Hayit Greenspan

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Synthetic data augmentation using GAN for improved liver lesion classification.

Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Anatomical data augmentation for CNN based pixel-wise classification.

Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

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

Idit Diamant, Eyal Klang, Michal Amitai, Eli Konen, Jacob Goldberger, Hayit Greenspan

IEEE Trans. Biomed. Eng., 2017

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

Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan

Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results.

Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Michal Amitai, Hayit Greenspan

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.

Idit Diamant, Assaf Hoogi, Christopher F. Beaulieu, Mustafa Safdari, Eyal Klang, Michal Amitai, Hayit Greenspan, Daniel L. Rubin

IEEE J. Biomed. Health Informatics, 2016

Fully Convolutional Network for Liver Segmentation and Lesions Detection.

Avi Ben-Cohen, Idit Diamant, Eyal Klang, Michal Amitai, Hayit Greenspan

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

Sparsity-based liver metastases detection using learned dictionaries.

Avi Ben-Cohen, Eyal Klang, Michal Amitai, Hayit Greenspan

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.

Idit Diamant, Jacob Goldberger, Eyal Klang, Michal Amitai, Hayit Greenspan

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

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

Avi Ben-Cohen, Idit Diamant, Eyal Klang, Michal Amitai, Hayit Greenspan

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014