X-Ray Image Categorization and Retrieval Using Patch-Based Visual Words Representation. - Uri Avni; Hayit Greenspan; Michal Sharon; Eli Konen; Jacob Goldberger (ISBI, 2009)

Chest x-ray characterization: from organ identification to pathology categorization. - Uri Avni; Jacob Goldberger; Michal Sharon; Eli Konen; Hayit Greenspan (Multimedia Information Retrieval, 2010)

System for pathology categorization and retrieval in chest radiographs. - Uri Avni; Hayit Greenspan; Eli Konen; Michal Sharon; Jacob Goldberger (Computer-Aided Diagnosis, 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)

Chest pathology detection using deep learning with non-medical training. - Yaniv Bar; Idit Diamant; Lior Wolf; Sivan Lieberman; Eli Konen; Hayit Greenspan (ISBI, 2015)

Pneumothorax detection in chest radiographs using local and global texture signatures. - Ofer Geva; Gali Zimmerman-Moreno; Sivan Lieberman; Eli Konen; Hayit Greenspan (Computer-Aided Diagnosis, 2015)

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 (EMBC, 2016)

Localized Fisher vector representation for pathology detection in chest radiographs. - Ofer Geva; Sivan Lieberman; Eli Konen; Hayit Greenspan (Computer-Aided Diagnosis, 2016)

A system for automatic aorta sections measurements on chest CT. - Yitzchak Pfeffer; Arnaldo Mayer; Adi Zholkover; Eli Konen (Computer-Aided Diagnosis, 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 (MICCAI (3), 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)

Chest Radiograph Pathology Categorization via Transfer Learning. - Idit Diamant; Yaniv Bar; Ofer Geva; Lior Wolf; Gali Zimmerman; Sivan Lieberman; Eli Konen; Hayit Greenspan (Deep Learning for Medical Image Analysis, 2017)

A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising. - Michael Green; Edith M. Marom; Nahum Kiryati; Eli Konen; Arnaldo Mayer (Patch-MI@MICCAI, 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)

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)

Pneumothorax detection in chest radiographs using convolutional neural network. - Aviel Blumenfeld; Eli Konen; Hayit Greenspan (Computer-Aided Diagnosis, 2018)

Learning Real Noise for Ultra-Low Dose Lung CT Denoising. - Michael Green; Edith M. Marom; Eli Konen; Nahum Kiryati; Arnaldo Mayer (Patch-MI@MICCAI, 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)

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)

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)

Feature Aggregation in Perceptual Loss for Ultra Low-Dose (ULD) CT Denoising. - Michael Green; Edith M. Marom; Eli Konen; Nahum Kiryati; Arnaldo Mayer (ISBI, 2019)

Neural Denoising of Ultra-low Dose Mammography. - Michael Green; Miri Sklair-Levy; Nahum Kiryati; Eli Konen; Arnaldo Mayer (MLMIR@MICCAI, 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)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Eugene Vorontsov; Grzegorz Chlebus; Hao Chen 011; Qi Dou 001; Chi-Wing Fu; Xiao Han; Pheng-Ann Heng; Jürgen Hesser; Samuel Kadoury; Tomasz K. Konopczynski; et al. (CoRR, 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)

Automatic Segmentation of White Matter Tracts Using Multiple Brain MRI Sequences. - Ilya Nelkenbaum; Galia Tsarfaty; Nahum Kiryati; Eli Konen; Arnaldo Mayer (ISBI, 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 (ISBI, 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 (ML-CDS/CLIP@MICCAI, 2020)

Labeling of Multilingual Breast MRI Reports. - Chen-Han Tsai; Nahum Kiryati; Eli Konen; Miri Sklair-Levy; Arnaldo Mayer (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet). - Chen-Han Tsai; Nahum Kiryati; Eli Konen; Iris Eshed; Arnaldo Mayer (MIDL, 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)

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 (Computer-Aided Diagnosis, 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)

Neural Registration and Segmentation of White Matter Tracts in Multi-modal Brain MRI. - Noa Barzilay; Ilya Nelkenbaum; Eli Konen; Nahum Kiryati; Arnaldo Mayer (ECCV Workshops (3), 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 (ECCV Workshops (3), 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 (ISBI, 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 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)

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)

X-ray2CTPA: leveraging diffusion models to enhance pulmonary embolism classification. - Noa Cahan; Eyal Klang; Galit Aviram; Yiftach Barash; Eli Konen; Raja Giryes; Hayit Greenspan (npj Digit. Medicine, 2025)