Eli Konen

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

Collaborative distances:

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

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

Anisotropic neural deblurring for MRI acceleration.

Maya Mayberg, Michael Green, Mark Vasserman, Dominique Raichman, Eugenia Belenky, Michael Wolf, Shai Shrot, Nahum Kiryati, Eli Konen, Arnaldo Mayer

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

Complementary Phase Encoding for Pair-Wise Neural Deblurring of Accelerated Brain MRI.

Gali Hod, Michael Green, Mark Waserman, Eli Konen, Shai Shrot, Ilya Nelkenbaum, Nahum Kiryati, Arnaldo Mayer

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Neural Registration and Segmentation of White Matter Tracts in Multi-modal Brain MRI.

Noa Barzilay, Ilya Nelkenbaum, Eli Konen, Nahum Kiryati, Arnaldo Mayer

Proceedings of the Computer Vision - ECCV 2022 Workshops, 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

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

2020

Neural Segmentation of Seeding ROIs (sROIs) for Pre-Surgical Brain Tractography.

Itzik Avital, Ilya Nelkenbaum, Galia Tsarfaty, Eli Konen, Nahum Kiryati, Arnaldo Mayer

IEEE Trans. Medical Imaging, 2020

Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet).

Chen-Han Tsai, Nahum Kiryati, Eli Konen, Iris Eshed, Arnaldo Mayer

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Labeling of Multilingual Breast MRI Reports.

Chen-Han Tsai, Nahum Kiryati, Eli Konen, Miri Sklair-Levy, Arnaldo Mayer

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.

Gavriel Habib, Nahum Kiryati, Miri Sklair-Levy, Anat Shalmon, Osnat Halshtok Neiman, Renata Faermann Weidenfeld, Yael Yagil, Eli Konen, Arnaldo Mayer

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.

Ophir Yaniv, Orith Portnoy, Amit Talmon, Nahum Kiryati, Eli Konen, Arnaldo Mayer

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Automatic Segmentation of White Matter Tracts Using Multiple Brain MRI Sequences.

Ilya Nelkenbaum, Galia Tsarfaty, Nahum Kiryati, Eli Konen, Arnaldo Mayer

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.

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

Classification of contrast-enhanced spectral mammography (CESM) images.

Shaked Perek, Nahum Kiryati, Gali Zimmerman-Moreno, Miri Sklair-Levy, Eli Konen, Arnaldo Mayer

Int. J. Comput. Assist. Radiol. Surg., 2019

Neural Denoising of Ultra-low Dose Mammography.

Michael Green, Miri Sklair-Levy, Nahum Kiryati, Eli Konen, Arnaldo Mayer

Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Feature Aggregation in Perceptual Loss for Ultra Low-Dose (ULD) CT Denoising.

Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer

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.

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

Neurocomputing, 2018

3-D Neural denoising for low-dose Coronary CT Angiography (CCTA).

Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer

Comput. Medical Imaging Graph., 2018

Chest pathology identification using deep feature selection with non-medical training.

Yaniv Bar, Idit Diamant, Lior Wolf, Sivan Lieberman, Eli Konen, Hayit Greenspan

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Learning Real Noise for Ultra-Low Dose Lung CT Denoising.

Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer

Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

Pneumothorax detection in chest radiographs using convolutional neural network.

Aviel Blumenfeld, Eli Konen, Hayit Greenspan

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

Patient-specific image denoising for ultra-low-dose CT-guided lung biopsies.

Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer

Int. J. Comput. Assist. Radiol. Surg., 2017

A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising.

Michael Green, Edith M. Marom, Nahum Kiryati, Eli Konen, Arnaldo Mayer

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

Chest Radiograph Pathology Categorization via Transfer Learning.

Idit Diamant, Yaniv Bar, Ofer Geva, Lior Wolf, Gali Zimmerman, Sivan Lieberman, Eli Konen, Hayit Greenspan

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.

Arnaldo Mayer, Adi Zholkover, Orith Portnoy, Gil Raviv, Eli Konen, Zvi Symon

Int. J. Comput. Assist. Radiol. Surg., 2016

Efficient Low-Dose CT Denoising by Locally-Consistent Non-Local Means (LC-NLM).

Michael Green, Edith M. Marom, Nahum Kiryati, Eli Konen, Arnaldo Mayer

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

A system for automatic aorta sections measurements on chest CT.

Yitzchak Pfeffer, Arnaldo Mayer, Adi Zholkover, Eli Konen

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.

Ofer Geva, Sivan Lieberman, Eli Konen, Hayit Greenspan

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.

Gali Zimmerman-Moreno, Irina Marin, Moshe Lindner, Iris Barshack, Yuval Garini, Eli Konen, Arnaldo Mayer

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.

Ofer Geva, Gali Zimmerman-Moreno, Sivan Lieberman, Eli Konen, Hayit Greenspan

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Chest pathology detection using deep learning with non-medical training.

Yaniv Bar, Idit Diamant, Lior Wolf, Sivan Lieberman, Eli Konen, Hayit Greenspan

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.

Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharon, Jacob Goldberger

IEEE Trans. Medical Imaging, 2011

System for pathology categorization and retrieval in chest radiographs.

Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharon, Jacob Goldberger

Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

2010

Chest x-ray characterization: from organ identification to pathology categorization.

Uri Avni, Jacob Goldberger, Michal Sharon, Eli Konen, Hayit Greenspan

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.

Uri Avni, Hayit Greenspan, Michal Sharon, Eli Konen, Jacob Goldberger

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009