Glass pattern recognition with neural-networks. - Hayit Greenspan; M. Fleisher; Moshe Porat; Yehoshua Y. Zeevi (Neural Networks, 1988)

Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery. - Hayit Greenspan; Rodney M. Goodman; Rama Chellappa (NIPS, 1991)

Remote Sensing Image Analysis via a Texture Classification Neural Network. - Hayit Greenspan; Rodney M. Goodman (NIPS, 1992)

Projection-Based Approach to Image Analysis: Pattern Recognition and Representation in the Position-Orientation Space. - Hayit Greenspan; Moshe Porat; Yehoshua Y. Zeevi (IEEE Trans. Pattern Anal. Mach. Intell., 1992)

Learning in Computer Vision and Image Understanding. - Hayit Greenspan (NIPS, 1993)

Overcomplete steerable pyramid filters and rotation invariance. - Hayit Greenspan; Serge J. Belongie; Rodney M. Goodman; Pietro Perona; Subrata Rakshit; Charles H. Anderson (CVPR, 1994)

Rotation invariant texture recognition using a steerable pyramid. - Hayit Greenspan; Serge J. Belongie; Rodney M. Goodman; Pietro Perona (ICPR (2), 1994)

Learning Texture Discrimination Rules in a Multiresolution System. - Hayit Greenspan; Rodney M. Goodman; Rama Chellappa; Charles H. Anderson (IEEE Trans. Pattern Anal. Mach. Intell., 1994)

Nonlinear edge enhancement. - Hayit Greenspan; Sofia Akber (ICIP, 1995)

Finding Pictures of Objects in Large Collections of Images. - David A. Forsyth; Jitendra Malik; Thomas K. Leung; Christoph Bregler; Chad Carson; Hayit Greenspan; Margaret M. Fleck (Data Processing Clinic, 1996)

Finding Pictures of Objects in Large Collections of Images. - David A. Forsyth; Jitendra Malik; Margaret M. Fleck; Hayit Greenspan; Thomas K. Leung; Serge J. Belongie; Chad Carson; Christoph Bregler (Object Representation in Computer Vision, 1996)

Finding objects in image databases by grouping. - Jitendra Malik; David A. Forsyth; Margaret M. Fleck; Hayit Greenspan; Thomas K. Leung; Chad Carson; Serge J. Belongie; Christoph Bregler (ICIP (2), 1996)

Color- and Texture-based Image Segmentation Using the Expectation-Maximization Algorithm and its Application to Content-Based Image Retrieval. - Serge J. Belongie; Chad Carson; Hayit Greenspan; Jitendra Malik (ICCV, 1998)

Image enhancement by nonlinear extrapolation in frequency space. - Hayit Greenspan; Charles H. Anderson; Sofia Akber (IEEE Trans. Image Process., 2000)

MRI Inter-slice Reconstruction Using Super-Resolution. - Hayit Greenspan; Sharon Peled; Gal Oz; Nahum Kiryati (MICCAI, 2001)

A Continuous Probabilistic Framework for Image Matching. - Hayit Greenspan; Jacob Goldberger; Lenny Ridel (Comput. Vis. Image Underst., 2001)

Mixture model for face-color modeling and segmentation. - Hayit Greenspan; Jacob Goldberger; Itay Eshet (Pattern Recognit. Lett., 2001)

Evaluation of Center-line Extraction Algorithms in Quantitative Coronary Angiography. - Hayit Greenspan; Moshe Laifenfeld; Shmuel Einav; Ofer Barnea (IEEE Trans. Medical Imaging, 2001)

Unsupervised Image Clustering Using the Information Bottleneck Method. - Jacob Goldberger; Hayit Greenspan; Shiri Gordon (DAGM-Symposium, 2002)

A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing. - Hayit Greenspan; Jacob Goldberger; Arnaldo Mayer (ECCV (4), 2002)

Context-Based Image Modelling. - Guy Dvir; Hayit Greenspan; Yossi Rubner (ICPR (4), 2002)

Probabilistic Models for Generating, Modelling and Matching Image Categories. - Hayit Greenspan; Shiri Gordon; Jacob Goldberger (ICPR (3), 2002)

Super-resolution in MRI. - Hayit Greenspan; Gal Oz; Nahum Kiryati; Sharon Peled (ISBI, 2002)

Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying. - Chad Carson; Serge J. Belongie; Hayit Greenspan; Jitendra Malik (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures. - Jacob Goldberger; Shiri Gordon; Hayit Greenspan (ICCV, 2003)

Applying the Information Bottleneck Principle to Unsupervised Clustering of Discrete and Continuous Image Representations. - Shiri Gordon; Hayit Greenspan; Jacob Goldberger (ICCV, 2003)

A probabilistic framework for the spatio-temporal segmentation of multiple sclerosis lesions in MR images of the brain. - Hayit Greenspan; Arnaldo Mayer; Allon Shahar (Image Processing, 2003)

Image Segmentation of Uterine Cervix Images for Indexing in PACS. - Shiri Gordon; Gali Zimmerman; Hayit Greenspan (CBMS, 2004)

Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions. - Allon Shahar; Hayit Greenspan (ECCV Workshops CVAMIA and MMBIA, 2004)

Statistical Imaging for Modeling and Identification of Bacterial Types. - Sigal Trattner; Hayit Greenspan; Gabi Tepper; Shimon Abboud (ECCV Workshops CVAMIA and MMBIA, 2004)

A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions. - Allon Shahar; Hayit Greenspan (ISBI, 2004)

Image Analysis of Doppler Echocardiography for Patients with Atrial Fibrillation. - Oron Shechner; Hayit Greenspan; Mickey Sheinovitz; Micha Feinberg (ISBI, 2004)

Context-dependent segmentation and matching in image databases. - Hayit Greenspan; Guy Dvir; Yossi Rubner (Comput. Vis. Image Underst., 2004)

Probabilistic Space-Time Video Modeling via Piecewise GMM. - Hayit Greenspan; Jacob Goldberger; Arnaldo Mayer (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Automatic identification of bacterial types using statistical imaging methods. - Sigal Trattner; Hayit Greenspan; Gabi Tepper; Shimon Abboud (IEEE Trans. Medical Imaging, 2004)

Tissue Classification of Noisy MR Brain Images Using Constrained GMM. - Amit Ruf; Hayit Greenspan; Jacob Goldberger (MICCAI (2), 2005)

Illumination Correction for Content Analysis in Uterine Cervix Images. - Hila Dvir; Shiri Gordon; Hayit Greenspan (CVPR Workshops, 2006)

Segmentation of brain MRI by adaptive mean shift. - Arnaldo Mayer; Hayit Greenspan (ISBI, 2006)

Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system. - Gali Zimmerman; Shiri Gordon; Hayit Greenspan (ISBI, 2006)

Content analysis of uterine cervix images: initial steps toward content based indexing and retrieval of cervigrams. - Shiri Gordon; Gali Zimmerman; L. Rodney Long; Sameer K. Antani; Jose Jeronimo; Hayit Greenspan (Image Processing, 2006)

Automatic detection of specular reflections in uterine cervix images. - Gali Zimmerman-Moreno; Hayit Greenspan (Image Processing, 2006)

Context-Based Segmentation of Image Sequences. - Jacob Goldberger; Hayit Greenspan (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Unsupervised image-set clustering using an information theoretic framework. - Jacob Goldberger; Shiri Gordon; Hayit Greenspan (IEEE Trans. Image Process., 2006)

Constrained Gaussian mixture model framework for automatic segmentation of MR brain images. - Hayit Greenspan; Amit Ruf; Jacob Goldberger (IEEE Trans. Medical Imaging, 2006)

An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification. - Jacob Goldberger; Hayit Greenspan; Jeremie Dreyfuss (CVPR, 2007)

Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework. - Omer Rotem; Hayit Greenspan; Jacob Goldberger (CVPR, 2007)

Can Born Approximate the Unborn? A New Validity Criterion for the Born Approximation in Microscopic Imaging. - Sigal Trattner; Micha Feigin; Hayit Greenspan; Nir A. Sochen (ICCV, 2007)

Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours. - Oren Freifeld; Hayit Greenspan; Jacob Goldberger (ISBI, 2007)

Segmentation of Non-convex Regions within Uterine Cervix Images. - Shiri Gordon; Hayit Greenspan (ISBI, 2007)

Segmentation and tracking of human sperm cells using spatio- temporal representation and clustering. - Michael Berezansky; Hayit Greenspan; Daniel Cohen-Or; Osnat Eitan (Image Processing, 2007)

Improved CSF classification and lesion detection in MR brain images with multiple sclerosis. - Yulian Wolff; Shmuel Miron; Anat Achiron; Hayit Greenspan (Image Processing, 2007)

Medical Image Categorization and Retrieval for PACS Using the GMM-KL Framework. - Hayit Greenspan; Adi Pinhas (IEEE Trans. Inf. Technol. Biomed., 2007)

TAU MIPLAB at ImageClef 2008. - Uri Avni; Jacob Goldberger; Hayit Greenspan (CLEF (Working Notes), 2008)

Classification trees for fast segmentation of DTI brain fiber tracts. - Gali Zimmerman-Moreno; Arnaldo Mayer; Hayit Greenspan (CVPR Workshops, 2008)

Bundles of interest based registration of White Matter tractographies. - Arnaldo Mayer; Hayit Greenspan (ISBI, 2008)

Adaptive mean-shift registration of white matter tractographies. - Orly Zvitia; Arnaldo Mayer; Hayit Greenspan (ISBI, 2008)

White matter tractographies registration using Gaussian mixture modeling. - Orly Zvitia; Arnaldo Mayer; Hayit Greenspan (Image Processing, 2008)

Simplifying Mixture Models Using the Unscented Transform. - Jacob Goldberger; Hayit Greenspan; Jeremie Dreyfuss (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Dense Simple Features for Fast and Accurate Medical X-Ray Annotation. - Uri Avni; Hayit Greenspan; Jacob Goldberger (CLEF (2), 2009)

Addressing the ImageClef 2009 Challenge Using a Patch-based Visual Words Representation. - Uri Avni; Jacob Goldberger; Hayit Greenspan (CLEF (Working Notes), 2009)

Lesion Detection and Segmentation in Uterine Cervix Images Using an Arc-Level MRF. - Amir Alush; Hayit Greenspan; Jacob Goldberger (ISBI, 2009)

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

Regularized Super-Resolution of Brain MRI. - Avraham Ben-Ezra; Hayit Greenspan; Yossi Rubner (ISBI, 2009)

Super-Resolution in Medical Imaging. - Hayit Greenspan (Comput. J., 2009)

Evaluation of uterine cervix segmentations using ground truth from multiple experts. - Shiri Gordon; Shelly Lotenberg; L. Rodney Long; Sameer K. Antani; Jose Jeronimo; Hayit Greenspan (Comput. Medical Imaging Graph., 2009)

Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution. - Oren Freifeld; Hayit Greenspan; Jacob Goldberger (Int. J. Biomed. Imaging, 2009)

Revisiting the Feature and Content Gap for Landmark- Based and Image-to-Image Retrieval in Medical CBIR. - Hayit Greenspan (Int. J. Heal. Inf. Syst. Informatics, 2009)

Shape Priors for Segmentation of the Cervix Region Within Uterine Cervix Images. - Shelly Lotenberg; Shiri Gordon; Hayit Greenspan (J. Digit. Imaging, 2009)

Automatic Detection of Anatomical Landmarks in Uterine Cervix Images. - Hayit Greenspan; Shiri Gordon; Gali Zimmerman; Shelly Lotenberg; Jose Jeronimo; Sameer K. Antani; L. Rodney Long (IEEE Trans. Medical Imaging, 2009)

An Adaptive Mean-Shift Framework for MRI Brain Segmentation. - Arnaldo Mayer; Hayit Greenspan (IEEE Trans. Medical Imaging, 2009)

Medical Image Classification at Tel Aviv and Bar Ilan Universities. - Uri Avni; Jacob Goldberger; Hayit Greenspan (ImageCLEF, 2010)

Shape-based similarity retrieval of Doppler images for clinical decision support. - Tanveer Fathima Syeda-Mahmood; Pavan K. Turaga; David Beymer; Fei Wang 002; Arnon Amir; Hayit Greenspan; Kilian M. Pohl (CVPR, 2010)

Piecewise smooth affine registration of point-sets with application to DT-MRI brain fiber-data. - Ran Shadmi; Arnaldo Mayer; Nir A. Sochen; Hayit Greenspan (ISBI, 2010)

AALIM: A Cardiac Clinical Decision Support System Powered By Advanced Multi-modal Analytics. - Arnon Amir; David Beymer; Julia Grace; Hayit Greenspan; Daniel Gruhl; Allen Hobbs; Kilian M. Pohl; Tanveer F. Syeda-Mahmood; Joseph Terdiman; Fei Wang 002 (MedInfo, 2010)

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

An agglomerative segmentation framework for non-convex regions within uterine cervix images. - Shiri Gordon; Hayit Greenspan (Image Vis. Comput., 2010)

Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images. - Amir Alush; Hayit Greenspan; Jacob Goldberger (IEEE Trans. Medical Imaging, 2010)

Co-registration of White Matter Tractographies by Adaptive-Mean-Shift and Gaussian Mixture Modeling. - Orly Zvitia; Arnaldo Mayer; Ran Shadmi; Shmuel Miron; Hayit Greenspan (IEEE Trans. Medical Imaging, 2010)

Pyramid Histograms of Motion Context with Application to Angiogram Video Classification. - Fei Wang 002; Yong Zhang 050; David Beymer; Hayit Greenspan; Tanveer Fathima Syeda-Mahmood (FIMH, 2011)

Automatic classification of images of an angiography sequence using modified shape context-based spatial pyramid kernels. - Fei Wang 002; Yong Zhang 050; Hayit Greenspan; Tanveer Fathima Syeda-Mahmood; David Beymer (ISBI, 2011)

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 Spatial Localization of Chest Pathologies. - Uri Avni; Hayit Greenspan; Jacob Goldberger (MICCAI (3), 2011)

Overview of the Second Workshop on Medical Content-Based Retrieval for Clinical Decision Support. - Adrien Depeursinge; Hayit Greenspan; Tanveer Fathima Syeda-Mahmood; Henning Müller (MCBR-CDS, 2011)

Content-Based Image Retrieval in Radiology: Current Status and Future Directions. - Ceyhun Burak Akgül; Daniel L. Rubin; Sandy Napel; Christopher F. Beaulieu; Hayit Greenspan; Burak Acar (J. Digit. Imaging, 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)

A Supervised Framework for the Registration and Segmentation of White Matter Fiber Tracts. - Arnaldo Mayer; Gali Zimmerman-Moreno; Ran Shadmi; Amit Batikoff; Hayit Greenspan (IEEE Trans. Medical Imaging, 2011)

Overview of the Third Workshop on Medical Content-Based Retrieval for Clinical Decision Support (MCBR-CDS 2012). - Henning Müller; Hayit Greenspan (MCBR-CDS, 2012)

Visual words based approach for tissue classification in mammograms. - Idit Diamant; Jacob Goldberger; Hayit Greenspan (Computer-Aided Diagnosis, 2013)

Image patch-based method for automated classification and detection of focal liver lesions on CT. - Mustafa Safdari; Raghav Pasari; Daniel L. Rubin; Hayit Greenspan (Computer-Aided Diagnosis, 2013)

Fiber Based Comparison of Whole Brain Tractographies with Application to Amyotrophic Lateral Sclerosis. - Gali Zimmerman-Moreno; Dafna Ben-Bashat; Moran Artzi; Beatrice Nefussy; Vivian Drory; Orna Aizenstein; Hayit Greenspan (CDMRI/MMBC@MICCAI, 2013)

Lung texture classification using bag of visual words. - Marina Asherov; Idit Diamant; Hayit Greenspan (Computer-Aided Diagnosis, 2014)

Automatic detection and segmentation of liver metastatic lesions on serial CT examinations. - Avi Ben-Cohen; Idit Diamant; Eyal Klang; Michal Amitai; Hayit Greenspan (Computer-Aided Diagnosis, 2014)

Texture feature based liver lesion classification. - Yeela Doron; Nitzan Mayer-Wolf; Idit Diamant; Hayit Greenspan (Computer-Aided Diagnosis, 2014)

A comparative study for chest radiograph image retrieval using binary texture and deep learning classification. - Yaron Anavi; Ilya Kogan; Elad Gelbart; Ofer Geva; Hayit Greenspan (EMBC, 2015)

Automatic detection of cell divisions (mitosis) in live-imaging microscopy images using Convolutional Neural Networks. - Anat Shkolyar; Amit Gefen; Dafna Benayahu; Hayit Greenspan (EMBC, 2015)

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

Learning to combine decisions from multiple mammography views. - Alan Joseph Bekker; Moran Shalhon; Hayit Greenspan; Jacob Goldberger (ISBI, 2015)

Multi-phase liver lesions classification using relevant visual words based on mutual information. - Idit Diamant; Jacob Goldberger; Eyal Klang; Michal Amitai; Hayit Greenspan (ISBI, 2015)

Deep learning with non-medical training used for chest pathology identification. - Yaniv Bar; Idit Diamant; Lior Wolf; Hayit Greenspan (Computer-Aided Diagnosis, 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)

MS lesion segmentation using a multi-channel patch-based approach with spatial consistency. - Roey Mechrez; Jacob Goldberger; Hayit Greenspan (Image Processing, 2015)

Deep Learning in Medical Applications. - Hayit Greenspan (BIOSTEC, 2016)

A multi-view deep learning architecture for classification of breast microcalcifications. - Alan Joseph Bekker; Hayit Greenspan; Jacob Goldberger (ISBI, 2016)

Sparsity-based liver metastases detection using learned dictionaries. - Avi Ben-Cohen; Eyal Klang; Michal Amitai; Hayit Greenspan (ISBI, 2016)

Visualizing and enhancing a deep learning framework using patients age and gender for chest x-ray image retrieval. - Yaron Anavi; Ilya Kogan; Elad Gelbart; Ofer Geva; Hayit Greenspan (Computer-Aided Diagnosis, 2016)

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

Fully Convolutional Network for Liver Segmentation and Lesions Detection. - Avi Ben-Cohen; Idit Diamant; Eyal Klang; Michal Amitai; Hayit Greenspan (LABELS/DLMIA@MICCAI, 2016)

Longitudinal Multiple Sclerosis Lesion Segmentation Using Multi-view Convolutional Neural Networks. - Ariel Birenbaum; Hayit Greenspan (LABELS/DLMIA@MICCAI, 2016)

Coresets vs clustering: comparison of methods for redundancy reduction in very large white matter fiber sets. - Guy Alexandroni; Gali Zimmerman-Moreno; Nir A. Sochen; Hayit Greenspan (Image Processing, 2016)

Mutual information criterion for feature selection with application to classification of breast microcalcifications. - Idit Diamant; Moran Shalhon; Jacob Goldberger; Hayit Greenspan (Image Processing, 2016)

Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI. - Roey Mechrez; Jacob Goldberger; Hayit Greenspan (Int. J. Biomed. Imaging, 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)

Multi-View Probabilistic Classification of Breast Microcalcifications. - Alan Joseph Bekker; Moran Shalhon; Hayit Greenspan; Jacob Goldberger (IEEE Trans. Medical Imaging, 2016)

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique. - Hayit Greenspan; Bram van Ginneken; Ronald M. Summers (IEEE Trans. Medical Imaging, 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)

White Matter Fiber Representation Using Continuous Dictionary Learning. - Guy Alexandroni; Yana Podolsky; Hayit Greenspan; Tal Remez; Or Litany; Alexander M. Bronstein; Raja Giryes (MICCAI (1), 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 (SASHIMI@MICCAI, 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 (Patch-MI@MICCAI, 2017)

Multi-view longitudinal CNN for multiple sclerosis lesion segmentation. - Ariel Birenbaum; Hayit Greenspan (Eng. Appl. Artif. Intell., 2017)

The fiber-density-coreset for redundancy reduction in huge fiber-sets. - Guy Alexandroni; Gali Zimmerman-Moreno; Nir A. Sochen; Hayit Greenspan (NeuroImage, 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)

Anatomical data augmentation for CNN based pixel-wise classification. - Avi Ben-Cohen; Eyal Klang; Michal Marianne Amitai; Jacob Goldberger; Hayit Greenspan (ISBI, 2018)

Training a neural network based on unreliable human annotation of medical images. - Yair Dgani; Hayit Greenspan; Jacob Goldberger (ISBI, 2018)

Synthetic data augmentation using GAN for improved liver lesion classification. - Maayan Frid-Adar; Eyal Klang; Michal Amitai; Jacob Goldberger; Hayit Greenspan (ISBI, 2018)

Automatic liver volume segmentation and fibrosis classification. - Evgeny Bal; Eyal Klang; Michal Amitai; Hayit Greenspan (Computer-Aided Diagnosis, 2018)

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

Left Atria Reconstruction from a Series of Sparse Catheter Paths Using Neural Networks. - Alon Baram; Moshe Safran; Avi Ben-Cohen; Hayit Greenspan (MLMIR@MICCAI, 2018)

Improving the Segmentation of Anatomical Structures in Chest Radiographs Using U-Net with an ImageNet Pre-trained Encoder. - Maayan Frid-Adar; Avi Ben-Cohen; Rula Amer; Hayit Greenspan (RAMBO+BIA+TIA@MICCAI, 2018)

Lung Structures Enhancement in Chest Radiographs via CT Based FCNN Training. - Ophir Gozes; Hayit Greenspan (RAMBO+BIA+TIA@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)

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)

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)

Improving CNN Training using Disentanglement for Liver Lesion Classification in CT. - Avi Ben-Cohen; Roey Mechrez; Noa Yedidia; Hayit Greenspan (EMBC, 2019)

Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset. - Ophir Gozes; Hayit Greenspan (EMBC, 2019)

Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT. - Michal Heker; Avi Ben-Cohen; Hayit Greenspan (EMBC, 2019)

Soft Labeling by Distilling Anatomical Knowledge for Improved MS Lesion Segmentation. - Eytan Kats; Jacob Goldberger; Hayit Greenspan (ISBI, 2019)

A Mixture of Views Network With Applications to the Classification of Breast Microcalcifications. - Yaniv Shachor; Hayit Greenspan; Jacob Goldberger (ISBI, 2019)

Lung nodule retrieval using semantic similarity estimates. - Mark Loyman; Hayit Greenspan (Computer-Aided Diagnosis, 2019)

Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images. - Rula Amer; Jannette Nassar; David Bendahan; Hayit Greenspan; Noam Ben-Eliezer (MICCAI (2), 2019)

A Sparsely Distributed Intra-cardial Ultrasonic Array for Real-Time Endocardial Mapping. - Alon Baram; Hayit Greenspan; Zvi Freidman (MICCAI (5), 2019)

Endotracheal Tube Detection and Segmentation in Chest Radiographs Using Synthetic Data. - Maayan Frid-Adar; Rula Amer; Hayit Greenspan (MICCAI (6), 2019)

A Soft STAPLE Algorithm Combined with Anatomical Knowledge. - Eytan Kats; Jacob Goldberger; Hayit Greenspan (MICCAI (3), 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)

Learning Probabilistic Fusion of Multilabel Lesion Contours. - Gal Cohen; Hayit Greenspan; Jacob Goldberger (ISBI, 2020)

Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data. - Ophir Gozes; Hayit Greenspan (ISBI, 2020)

A Weakly Supervised Deep Learning Framework for COVID-19 CT Detection and Analysis. - Ophir Gozes; Maayan Frid-Adar; Nimrod Sagie; Asher Kabakovitch; Dor Amran; Rula Amer; Hayit Greenspan (TIA@MICCAI, 2020)

Nodule2vec: A 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation. - Ilia Kravets; Tal Heletz; Hayit Greenspan (MICCAI (6), 2020)

Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis. - Ophir Gozes; Maayan Frid-Adar; Hayit Greenspan; Patrick D. Browning; Huangqi Zhang; Wenbin Ji; Adam Bernheim; Eliot L. Siegel (CoRR, 2020)

Coronavirus Detection and Analysis on Chest CT with Deep Learning. - Ophir Gozes; Maayan Frid-Adar; Nimrod Sagie; Huangqi Zhang; Wenbin Ji; Hayit Greenspan (CoRR, 2020)

Joint Liver Lesion Segmentation and Classification via Transfer Learning. - Michal Heker; Hayit Greenspan (CoRR, 2020)

Semi-supervised lung nodule retrieval. - Mark Loyman; Hayit Greenspan (CoRR, 2020)

A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. - S. Kevin Zhou; Hayit Greenspan; Christos Davatzikos; James S. Duncan; Bram van Ginneken; Anant Madabhushi; Jerry L. Prince; Daniel Rueckert; Ronald M. Summers (CoRR, 2020)

A mixture of views network with applications to multi-view medical imaging. - Yaniv Shachor; Hayit Greenspan; Jacob Goldberger (Neurocomputing, 2020)

Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare. - Hayit Greenspan; Raúl San José Estépar; Wiro J. Niessen; Eliot L. Siegel; Mads Nielsen (Medical Image Anal., 2020)

An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection. - Liyan Sun; Jiexiang Wang; Yue Huang 001; Xinghao Ding; Hayit Greenspan; John W. Paisley (IEEE J. Biomed. Health Informatics, 2020)

Transfer Learning via Parameter Regularization for Medical Image Segmentation. - Nimrod Sagie; Hayit Greenspan; Jacob Goldberger (EUSIPCO, 2021)

Automated Triage Of Covid-19 From Various Lung Abnormalities Using Chest Ct Features. - Dor Amran; Maayan Frid-Adar; Nimrod Sagie; Jannette Nassar; Asher Kabakovitch; Hayit Greenspan (ISBI, 2021)

Learning Rotation Invariant Features For Cryogenic Electron Microscopy Image Reconstruction. - Koby Bibas; Gili Weiss-Dicker; Dana Cohen 002; Noa Cahan; Hayit Greenspan (ISBI, 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 (Computer-Aided Diagnosis, 2021)

Deep learning analysis on raw image data: case study on holographic cell analysis. - Gal Gozes; Shani Ben Baruch; Noa Rotman-Nativ; Darina Roitshtain; Natan T. Shaked; Hayit Greenspan (Computer-Aided Diagnosis, 2021)

COVID-19 opacity segmentation in chest CT via HydraNet: a joint learning multi-decoder network. - Nimrod Sagie; Shiri Almog; Ayelet Talby; Hayit Greenspan (Computer-Aided Diagnosis, 2021)

Improved segmentation by adversarial U-Net. - David Sriker; Dana Cohen 002; Noa Cahan; Hayit Greenspan (Computer-Aided Diagnosis, 2021)

Transfer Learning with a Layer Dependent Regularization for Medical Image Segmentation. - Nimrod Sagie; Hayit Greenspan; Jacob Goldberger (MLMI@MICCAI, 2021)

Harnessing generative adversarial networks to generate synthetic mitosis images for classification of cell images. - Gal Gozes; Anat Shkolyar; Amit Gefen; Dafna Benayahu; Hayit Greenspan (Digital Pathology, 2021)

Improved CycleGAN with application to COVID-19 classification. - Asaf Bar-El; Dana Cohen 002; Noa Cahan; Hayit Greenspan (Image Processing, 2021)

Style encoding for class-specific image generation. - Dana Cohen Hochberg; Raja Giryes; Hayit Greenspan (Image Processing, 2021)

Real-time mapping of a whole heart chamber using a novel sparse ultrasonic catheter array. - Alon Baram; Hayit Greenspan; Zvi Freidman (Int. J. Comput. Assist. Radiol. Surg., 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 Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. - S. Kevin Zhou; Hayit Greenspan; Christos Davatzikos; James S. Duncan; Bram van Ginneken; Anant Madabhushi; Jerry L. Prince; Daniel Rueckert; Ronald M. Summers (Proc. IEEE, 2021)

COVID-19 in CXR: From Detection and Severity Scoring to Patient Disease Monitoring. - Maayan Frid-Adar; Rula Amer; Ophir Gozes; Jannette Nassar; Hayit Greenspan (IEEE J. Biomed. Health Informatics, 2021)

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)

Adaptation of a Multi-Site Network to a New Clinical Site Via Batch-Normalization Similarity. - Shira Kasten Serlin; Jacob Goldberger; Hayit Greenspan (ISBI, 2022)

Class-Based Attention Mechanism for Chest Radiograph Multi-Label Categorization. - David Sriker; Hayit Greenspan; Jacob Goldberger (ISBI, 2022)

Deep learning based multiple sclerosis lesion detection utilizing synthetic data generation and soft attention mechanism. - Omer Zucker Shmueli; Chen Solomon; Noam Ben-Eliezer; Hayit Greenspan (Computer-Aided Diagnosis, 2022)

Supervised Domain Adaptation Using Gradients Transfer for Improved Medical Image Analysis. - Shaya Goodman; Hayit Greenspan; Jacob Goldberger (DART@MICCAI, 2022)

Unsupervised Site Adaptation by Intra-site Variability Alignment. - Shaya Goodman; Shira Kasten Serlin; Hayit Greenspan; Jacob Goldberger (DART@MICCAI, 2022)

Weakly supervised brain tumor segmentation via semantic affinity deep neural network. - Moshe Yerachmiel; Hayit Greenspan (Image Processing, 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)

HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes. - Akhil Vaid; Joy Jiang; Ashwin Sawant; Stamatios Lerakis; Edgar Argulian; Yuri Ahuja; Joshua Lampert; Alexander Charney; Hayit Greenspan; Benjamin S. Glicksberg; Jagat Narula; Girish N. Nadkarni (CoRR, 2022)

A Self Supervised StyleGAN for Image Annotation and Classification With Extremely Limited Labels. - Dana Cohen Hochberg; Hayit Greenspan; Raja Giryes (IEEE Trans. Medical Imaging, 2022)

Detecting Anatomy Openings in the Left Atrium Via a Triangular Ultrasonic Array Using Deep Learning. - Alon Baram; Oded Ovadia; Grigoriy Zurakhov; Raja Giyras; Eli Turkel; Hayit Greenspan (ISBI, 2023)

PLPP: A Pseudo Labeling Post-Processing Strategy for Unsupervised Domain Adaptation. - Tomer Bar Natan; Hayit Greenspan; Jacob Goldberger (ISBI, 2023)

PLST: A Pseudo-labels with a Smooth Transition Strategy for Medical Site Adaptation. - Tomer Bar Natan; Hayit Greenspan; Jacob Goldberger (DART@MICCAI, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

A foundational vision transformer improves diagnostic performance for electrocardiograms. - Akhil Vaid; Joy Jiang; Ashwin Sawant; Stamatios Lerakis; Edgar Argulian; Yuri Ahuja; Joshua Lampert; Alexander Charney; Hayit Greenspan; Jagat Narula; Benjamin S. Glicksberg; Girish N. Nadkarni (npj Digit. Medicine, 2023)

Supervised Domain Adaptation by transferring both the parameter set and its gradient. - Shaya Goodman; Hayit Greenspan; Jacob Goldberger (Neurocomputing, 2023)

DINOv2 Based Self Supervised Learning for Few Shot Medical Image Segmentation. - Lev Ayzenberg; Raja Giryes; Hayit Greenspan (ISBI, 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)

ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models. - Lev Ayzenberg; 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)

Neural network reconstruction of the left atrium using sparse catheter paths. - Alon Baram; Moshe Safran; Tomer Noy; Naveh Geri; Hayit Greenspan (Int. J. Comput. Assist. Radiol. Surg., 2025)