Hayit Greenspan

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Automatic evaluation of uterine cervix segmentations

Shelly Lotenberg, Shiri Gordon, Rodney Long, 2007, SPIE Medical Imaging.

Hayit Greenspan, H. Greenspan, 1996 .

A multi-view deep learning architecture for classification of breast microcalcifications

Hayit Greenspan, Jacob Goldberger, Alan Joseph Bekker, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images pdf

Hayit Greenspan, David Bendahan, Rula Amer, 2019, MICCAI.

Image segmentation of uterine cervix images for indexing in PACS

Shiri Gordon, Hayit Greenspan, Gali Zimmerman-Moreno, 2004, Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems.

An agglomerative segmentation framework for non-convex regions within uterine cervix images

Shiri Gordon, Hayit Greenspan, 2010, Image Vis. Comput..

A comparative study for chest radiograph image retrieval using binary texture and deep learning classification

Hayit Greenspan, Yaron Anavi, Ilya Kogan, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification

Hayit Greenspan, Jacob Goldberger, Jeremie Dreyfuss, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Glass pattern recognition with neural-networks

Yehoshua Y. Zeevi, Hayit Greenspan, Moshe Porat, 1988, Neural Networks.

Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery

Rama Chellappa, Hayit Greenspan, Rodney M. Goodman, 1991, NIPS.

Color- and Texture-based Image Segmentation Using the Expectation-Maximization Algorithm and its Application to Content-Based Image Retrieval.

Hayit Greenspan, Serge J. Belongie, Serge Belongie, 1998, ICCV 1998.

Improved CSF classification and lesion detection in MR brain images with multiple sclerosis

Hayit Greenspan, Yulian Wolff, Shmuel Miron, 2007, SPIE Medical Imaging.

Automatic liver volume segmentation and fibrosis classification

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

Chest pathology detection using deep learning with non-medical training

Hayit Greenspan, Lior Wolf, Eli Konen, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI

Hayit Greenspan, Jacob Goldberger, Roey Mechrez, 2016, Int. J. Biomed. Imaging.

An Adaptive Mean-Shift Framework for MRI Brain Segmentation

Hayit Greenspan, Arnaldo Mayer, H. Greenspan, 2009, IEEE Transactions on Medical Imaging.

Longitudinal Multiple Sclerosis Lesion Segmentation Using Multi-view Convolutional Neural Networks

Hayit Greenspan, Ariel Birenbaum, H. Greenspan, 2016, LABELS/DLMIA@MICCAI.

Dense Simple Features for Fast and Accurate Medical X-Ray Annotation

Hayit Greenspan, Jacob Goldberger, Uri Avni, 2009, CLEF.

Co-registration of White Matter Tractographies by Adaptive-Mean-Shift and Gaussian Mixture Modeling

Hayit Greenspan, Arnaldo Mayer, Shmuel Miron, 2010, IEEE Transactions on Medical Imaging.

An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection

Hayit Greenspan, Liyan Sun, Jiexiang Wang, 2018, IEEE Journal of Biomedical and Health Informatics.

Context-based image modelling

Hayit Greenspan, Yossi Rubner, Guy Dvir, 2002, Object recognition supported by user interaction for service robots.

Sparse Representation for White Matter Fiber Compression and Calculation of Inter-Fiber Similarity

Hayit Greenspan, Nir Sochen, Gali Zimmerman Moreno, 2016, MICCAI 2016.

Learning Texture Discrimination Rules in a Multiresolution System

Rama Chellappa, Hayit Greenspan, Rodney M. Goodman, 1994, IEEE Trans. Pattern Anal. Mach. Intell..

Synthetic data augmentation using GAN for improved liver lesion classification

Hayit Greenspan, Jacob Goldberger, Maayan Frid-Adar, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Evaluation of center-line extraction algorithms in quantitative coronary angiography

Shmuel Einav, Hayit Greenspan, Ofer Barnea, 2001, IEEE Transactions on Medical Imaging.

Training a neural network based on unreliable human annotation of medical images

Hayit Greenspan, Jacob Goldberger, Yair Dgani, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Biomedical Imaging Informatics

Hayit Greenspan, Daniel L. Rubin, James F. Brinkley, 2021, Biomedical Informatics.

Multi-View Probabilistic Classification of Breast Microcalcifications

Hayit Greenspan, Jacob Goldberger, Alan Joseph Bekker, 2016, IEEE Transactions on Medical Imaging.

A Sparsely Distributed Intra-cardial Ultrasonic Array for Real-Time Endocardial Mapping

Hayit Greenspan, Alon Baram, Zvi Freidman, 2019, MICCAI.

A Soft STAPLE Algorithm Combined with Anatomical Knowledge

Hayit Greenspan, Jacob Goldberger, Eytan Kats, 2019, MICCAI.

White matter tractographies registration using Gaussian mixture modeling

Hayit Greenspan, Arnaldo Mayer, Orly Zvitia, 2008, SPIE Medical Imaging.

Automatic detection of specular reflections in uterine cervix images

Hayit Greenspan, Gali Zimmerman-Moreno, 2006, SPIE Medical Imaging.

Classification trees for fast segmentation of DTI brain fiber tracts

Hayit Greenspan, Arnaldo Mayer, Gali Zimmerman-Moreno, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Fiber Based Comparison of Whole Brain Tractographies with Application to Amyotrophic Lateral Sclerosis

Hayit Greenspan, Gali Zimmerman-Moreno, Dafna Ben-Bashat, 2013, CDMRI/MMBC@MICCAI.

Illumination Correction for Content Analysis in Uterine Cervix Images

Shiri Gordon, Hayit Greenspan, Hila Dvir, 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

Visualizing and enhancing a deep learning framework using patients age and gender for chest x-ray image retrieval

Hayit Greenspan, Yaron Anavi, Ilya Kogan, 2016, SPIE Medical Imaging.

Sparsity-based liver metastases detection using learned dictionaries

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

Overview of the Second Workshop on Medical Content-Based Retrieval for Clinical Decision Support

Hayit Greenspan, Henning Müller, Tanveer F. Syeda-Mahmood, 2011, MCBR-CDS.

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.

Nonlinear edge enhancement

Hayit Greenspan, Sofia Akber, 1995, Proceedings., International Conference on Image Processing.

Pneumothorax detection in chest radiographs using convolutional neural networks

Hayit Greenspan, Eli Konen, Aviel Blumenfeld, 2018, Medical Imaging.

Statistical Imaging for Modeling and Identification of Bacterial Types

Hayit Greenspan, Shimon Abboud, Sigal Trattner, 2004, ECCV Workshops CVAMIA and MMBIA.

Liver lesion detection in CT using deep learning techniques

Hayit Greenspan, Avi Ben-Cohen, 2020 .

Regularized super-resolution of brain MRI

Hayit Greenspan, Yossi Rubner, Avraham Ben-Ezra, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Image analysis of Doppler echocardiography for patients with atrial fibrillation

Hayit Greenspan, Oron Shechner, Mickey Sheinovitz, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

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.

Context-based segmentation of image sequences

Hayit Greenspan, Jacob Goldberger, H. Greenspan, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

X-ray Categorization and Spatial Localization of Chest Pathologies

Hayit Greenspan, Jacob Goldberger, Uri Avni, 2011, MICCAI.

SEGMENTATION OF NON-CONVEX REGIONS WITHIN UTERINE CERVIX IMAGES

Shiri Gordon, Hayit Greenspan, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Mutual information criterion for feature selection with application to classification of breast microcalcifications

Hayit Greenspan, Jacob Goldberger, Idit Diamant, 2016, SPIE Medical Imaging.

A Continuous Probabilistic Framework for Image Matching

Hayit Greenspan, Jacob Goldberger, Lenny Ridel, 2001, Comput. Vis. Image Underst..

Visual words based approach for tissue classification in mammograms

Hayit Greenspan, Jacob Goldberger, Idit Diamant, 2013, Medical Imaging.

Evaluation of uterine cervix segmentations using ground truth from multiple experts

Shelly Lotenberg, Shiri Gordon, Hayit Greenspan, 2009, Comput. Medical Imaging Graph..

Revisiting the Feature and Content Gap for Landmark- Based and Image-to-Image Retrieval in Medical CBIR

Hayit Greenspan, 2009, Int. J. Heal. Inf. Syst. Informatics.

Deep learning with non-medical training used for chest pathology identification

Hayit Greenspan, Lior Wolf, Yaniv Bar, 2015, Medical Imaging.

Constrained Gaussian mixture model framework for automatic segmentation of MR brain images

Hayit Greenspan, Jacob Goldberger, Amit Ruf, 2006, IEEE Transactions on Medical Imaging.

Bundles of interest based registration of White Matter tractographies

Hayit Greenspan, Arnaldo Mayer, H. Greenspan, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Overcomplete steerable pyramid filters and rotation invariance

Pietro Perona, Hayit Greenspan, Serge J. Belongie, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images

Hayit Greenspan, Jacob Goldberger, Amir Alush, 2010, IEEE Transactions on Medical Imaging.

Simplifying Mixture Models Using the Unscented Transform

Hayit Greenspan, Jacob Goldberger, Jeremie Dreyfuss, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

An efficient image similarity measure based on approximations of KL-divergence between two gaussian mixtures

Shiri Gordon, Hayit Greenspan, Jacob Goldberger, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Coronavirus Detection and Analysis on Chest CT with Deep Learning pdf

Hayit Greenspan, Maayan Frid-Adar, Ophir Gozes, 2020, ArXiv.

Lung nodule retrieval using semantic similarity estimates

Hayit Greenspan, Mark Loyman, H. Greenspan, 2019, Medical Imaging.

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

Hayit Greenspan, Lior Wolf, Eli Konen, 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Localized Fisher vector representation for pathology detection in chest radiographs

Hayit Greenspan, Eli Konen, Ofer Geva, 2016, SPIE Medical Imaging.

Improving the Segmentation of Anatomical Structures in Chest Radiographs Using U-Net with an ImageNet Pre-trained Encoder

Hayit Greenspan, Rula Amer, Maayan Frid-Adar, 2018, RAMBO+BIA+TIA@MICCAI.

Mixture model for face-color modeling and segmentation

Hayit Greenspan, Jacob Goldberger, Itay Eshet, 2001, Pattern Recognit. Lett..

Super-Resolution in Medical Imaging

Hayit Greenspan, H. Greenspan, 2009, Comput. J..

Finding Pictures of Objects in Large Collections of Images

Hayit Greenspan, Serge J. Belongie, Serge Belongie, 1996, Object Representation in Computer Vision.

Medical Image Classification at Tel Aviv and Bar Ilan Universities

Hayit Greenspan, Jacob Goldberger, Uri Avni, 2010, ImageCLEF.

Rotation invariant texture recognition using a steerable pyramid

Pietro Perona, Hayit Greenspan, Serge J. Belongie, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Unsupervised image-set clustering using an information theoretic framework

Shiri Gordon, Hayit Greenspan, Jacob Goldberger, 2006, IEEE Transactions on Image Processing.

High resolution MRI from 2D and 3D superresolution applied to single-shot images

Hayit Greenspan, Yehezkel Yeshurun, Nahum Kiryati, 2001 .

Automatic identification of bacterial types using statistical imaging methods

Hayit Greenspan, Shimon Abboud, Sigal Trattner, 2003, IEEE Transactions on Medical Imaging.

A Mixture of Views Network With Applications to the Classification of Breast Microcalcifications

Hayit Greenspan, Jacob Goldberger, Yaniv Shachor, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Image enhancement by nonlinear extrapolation in frequency space

Hayit Greenspan, Charles H. Anderson, H. Greenspan, 1994, Electronic Imaging.

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

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

Tissue Classification of Noisy MR Brain Images Using Constrained GMM

Hayit Greenspan, Jacob Goldberger, Amit Ruf, 2005, MICCAI.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

Gustavo Carneiro, Jaime S. Cardoso, M. Jorge Cardoso, 2017, Lecture Notes in Computer Science.

Lung Structures Enhancement in Chest Radiographs via CT Based FCNN Training

Hayit Greenspan, Ophir Gozes, H. Greenspan, 2018, RAMBO+BIA+TIA@MICCAI.

Coresets vs clustering: comparison of methods for redundancy reduction in very large white matter fiber sets

Hayit Greenspan, Gali Zimmerman-Moreno, Nir A. Sochen, 2016, SPIE Medical Imaging.

TAU MIPLAB at ImageClef 2008

Hayit Greenspan, Jacob Goldberger, Uri Avni, 2008, CLEF.

MRI inter-slice reconstruction using super-resolution

Hayit Greenspan, Nahum Kiryati, Sharon Peled, 2002 .

Integration of Chest CT CAD into the Clinical Workflow and Impact on Radiologist Efficiency.

Hayit Greenspan, Fereidoun Abtin, Irene da Costa, 2019, Academic radiology.

Texture feature based liver lesion classification

Hayit Greenspan, Idit Diamant, Yeela Doron, 2014, Medical Imaging.

System for pathology categorization and retrieval in chest radiographs

Hayit Greenspan, Jacob Goldberger, Eli Konen, 2011, Medical Imaging.

A mixture of views network with applications to multi-view medical imaging

Hayit Greenspan, Jacob Goldberger, Yaniv Shachor, 2020, Neurocomputing.

Automatic identification of bacterial types using statistical imaging methods

Hayit Greenspan, Shimon Abboud, Sigal Trattner, 2004 .

Left Atria Reconstruction from a Series of Sparse Catheter Paths Using Neural Networks

Hayit Greenspan, Avi Ben-Cohen, Alon Baram, 2018, MLMIR@MICCAI.

Overview of the Third Workshop on Medical Content-Based Retrieval for Clinical Decision Support (MCBR-CDS 2012)

Hayit Greenspan, Henning Müller, 2012, MCBR-CDS.

Shape Priors for Segmentation of the Cervix Region Within Uterine Cervix Images

Shelly Lotenberg, Shiri Gordon, Hayit Greenspan, 2008, SPIE Medical Imaging.

A Supervised Framework for the Registration and Segmentation of White Matter Fiber Tracts

Hayit Greenspan, Arnaldo Mayer, Gali Zimmerman-Moreno, 2011, IEEE Transactions on Medical Imaging.

Medical Image Categorization and Retrieval for PACS Using the GMM-KL Framework

Hayit Greenspan, Adi Pinhas, H. Greenspan, 2007, IEEE Transactions on Information Technology in Biomedicine.

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

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

Hayit Greenspan, Kilian M. Pohl, Pavan K. Turaga, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Segmentation and tracking of human sperm cells using spatio- temporal representation and clustering

Daniel Cohen-Or, Hayit Greenspan, Michael Berezansky, 2007, SPIE Medical Imaging.

Fully Convolutional Network for Liver Segmentation and Lesions Detection

Hayit Greenspan, Michal Amitai, Idit Diamant, 2016, LABELS/DLMIA@MICCAI.

Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions

Hayit Greenspan, Allon Shahar, H. Greenspan, 2004, ECCV Workshops CVAMIA and MMBIA.

Probabilistic models for generating, modelling and matching image categories

Shiri Gordon, Hayit Greenspan, Jacob Goldberger, 2002, Object recognition supported by user interaction for service robots.

Lung texture classification using bag of visual words

Hayit Greenspan, Idit Diamant, Marina Asherov, 2014, Medical Imaging.

The Liver Tumor Segmentation Benchmark (LiTS) pdf

Hao Chen, Leo Joskowicz, Alexandre Hostettler, 2019, Medical Image Anal..

MS lesion segmentation using a multi-channel patch-based approach with spatial consistency

Hayit Greenspan, Jacob Goldberger, Roey Mechrez, 2015, Medical Imaging.

Automatic Detection of Anatomical Landmarks in Uterine Cervix Images

Shelly Lotenberg, Shiri Gordon, Hayit Greenspan, 2009, IEEE Transactions on Medical Imaging.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

Gustavo Carneiro, João Paulo Papa, Lena Maier-Hein, 2018, DLMIA/ML-CDS@MICCAI.

Deep Learning in Medical Applications

Hayit Greenspan, H. Greenspan, 2016, BIODEVICES.

Automated analysis of individual sperm cells using stain‐free interferometric phase microscopy and machine learning

Hayit Greenspan, Natan T Shaked, Simcha K. Mirsky, 2017, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Color- and texture-based image segmentation using EM and its application to content-based image retrieval

Jitendra Malik, Hayit Greenspan, Serge J. Belongie, 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

White Matter Fiber Representation Using Continuous Dictionary Learning

Hayit Greenspan, Alexander M. Bronstein, Raja Giryes, 2017, MICCAI.

Probabilistic space-time video modeling via piecewise GMM

Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-view longitudinal CNN for multiple sclerosis lesion segmentation

Hayit Greenspan, Ariel Birenbaum, H. Greenspan, 2017, Eng. Appl. Artif. Intell..

Enhancing Images By Nonlinear Extrapolation In Frequency

Hayit Greenspan, Charles H. Anderson, H. Greenspan, 1995 .

Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data pdf

Hayit Greenspan, Rula Amer, Maayan Frid-Adar, 2019, MICCAI.

Improving CNN Training using Disentanglement for Liver Lesion Classification in CT

Hayit Greenspan, Roey Mechrez, Avi Ben-Cohen, 2018, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

Hayit Greenspan, Michal Amitai, Avi Ben-Cohen, 2017, SASHIMI@MICCAI.

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

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

Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution

Hayit Greenspan, Jacob Goldberger, Oren Freifeld, 2009, Int. J. Biomed. Imaging.

Content-Based Image Retrieval in Radiology: Current Status and Future Directions

Hayit Greenspan, Daniel L. Rubin, Burak Acar, 2010, Journal of Digital Imaging.

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

Hayit Greenspan, Jacob Goldberger, Eli Konen, 2010, MIR '10.

A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing

Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer, 2002, ECCV.

A numerical analysis of the Born approximation for image formation modeling of differential interference contrast microscopy for human embryos

Hayit Greenspan, Micha Feigin, Nir Sochen, 2008, SPIE Medical Imaging.

Performance evaluation of quantitative coronary angiography algorithms

Hayit Greenspan, Ofer Barnea, M. Laifenfeld, 1999, Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N.

The fiber-density-coreset for redundancy reduction in huge fiber-sets

Hayit Greenspan, Gali Zimmerman-Moreno, Nir A. Sochen, 2017, NeuroImage.

Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis pdf

Hayit Greenspan, Maayan Frid-Adar, Ophir Gozes, 2020, ArXiv.

Soft Labeling by Distilling Anatomical Knowledge for Improved MS Lesion Segmentation

Hayit Greenspan, Jacob Goldberger, Eytan Kats, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Applying the information bottleneck principle to unsupervised clustering of discrete and continuous image representations

Shiri Gordon, Hayit Greenspan, Jacob Goldberger, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Pyramid Histograms of Motion Context with Application to Angiogram Video Classification

Yong Zhang, Hayit Greenspan, David Beymer, 2011, FIMH.

Image patch-based method for automated classification and detection of focal liver lesions on CT

Hayit Greenspan, Daniel L. Rubin, Mustafa Safdari, 2013, Medical Imaging.

A continuous and probabilistic framework for medical image representation and categorization

Hayit Greenspan, Adi T. Pinhas, 2004, SPIE Medical Imaging.

Anatomical data augmentation for CNN based pixel-wise classification

Hayit Greenspan, Jacob Goldberger, Avi Ben-Cohen, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Pneumothorax detection in chest radiographs using local and global texture signatures

Hayit Greenspan, Eli Konen, Gali Zimmerman-Moreno, 2015, Medical Imaging.

Context-dependent segmentation and matching in image databases

Hayit Greenspan, Yossi Rubner, Guy Dvir, 2004, Comput. Vis. Image Underst..

Recognition of Images in Large Databases Using a Learning Framework

Jitendra Malik, Hayit Greenspan, Serge J. Belongie, 1997 .

Remote Sensing Image Analysis via a Texture Classification Neural Network

Hayit Greenspan, Rodney M. Goodman, 1992, NIPS.

Image segmentation of uterine cervix images for indexing in PACS

Shiri Gordon, Hayit Greenspan, Gali Zimmerman, 2004 .

Automatic detection of cell divisions (mitosis) in live-imaging microscopy images using Convolutional Neural Networks

Hayit Greenspan, Amit Gefen, Dafna Benayahu, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Can Born Approximate the Unborn? A New Validity Criterion for the Born Approximation in Microscopic Imaging

Hayit Greenspan, Nir A. Sochen, Micha Feigin, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Super-resolution in MRI

Hayit Greenspan, Nahum Kiryati, Sharon Peled, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Image enhancement by nonlinear extrapolation in frequency space

Hayit Greenspan, Charles H. Anderson, Sofia Akber, 2000, IEEE Trans. Image Process..

Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT

Hayit Greenspan, Avi Ben-Cohen, Michal Heker, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A probabilistic framework for the detection and tracking in time of multiple sclerosis lesions

Hayit Greenspan, Allon Shahar, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

LESION DETECTION IN NOISY MR BRAIN IMAGES USING CONSTRAINED GMM AND ACTIVE CONTOURS

Hayit Greenspan, Jacob Goldberger, Oren Freifeld, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Piecewise smooth affine registration of point-sets with application to DT-MRI brain fiber-data

Hayit Greenspan, Arnaldo Mayer, Nir A. Sochen, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automated supervised segmentation of anatomical fiber tracts using an AdaBoost framework

Hayit Greenspan, Rula Amer, Guy Alexandroni, 2016, 2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE).

Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data

Hayit Greenspan, Ophir Gozes, H. Greenspan, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words

Hayit Greenspan, Jacob Goldberger, Eli Konen, 2011, IEEE Transactions on Medical Imaging.

Unsupervised Image Clustering Using the Information Bottleneck Method

Shiri Gordon, Hayit Greenspan, Jacob Goldberger, 2002, DAGM-Symposium.

Finding objects in image databases by grouping

Jitendra Malik, David A. Forsyth, Hayit Greenspan, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

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

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

Lesion detection and segmentation in uterine cervix images using an ARC-LEVEL MRF

Hayit Greenspan, Jacob Goldberger, Amir Alush, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Learning to combine decisions from multiple mammography views

Hayit Greenspan, Jacob Goldberger, Alan Joseph Bekker, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Learning in Computer Vision and Image Understanding

Hayit Greenspan, 1993, NIPS.

X-ray image categorization and retrieval using patch-based visualwords representation

Hayit Greenspan, Jacob Goldberger, Eli Konen, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Learning Probabilistic Fusion of Multilabel Lesion Contours

Hayit Greenspan, Jacob Goldberger, Gal Cohen, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection pdf

Hayit Greenspan, Eli Konen, Avi Ben-Cohen, 2018, Eng. Appl. Artif. Intell..

Segmentation of brain MRI by adaptive mean shift

Hayit Greenspan, Arnaldo Mayer, H. Greenspan, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Semi-supervised lung nodule retrieval pdf

Hayit Greenspan, Mark Loyman, H. Greenspan, 2020, ArXiv.

Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

Ronald M. Summers, Hayit Greenspan, Bram van Ginneken, 2016 .

A probabilistic framework for the spatio-temporal segmentation of multiple sclerosis lesions in MR images of the brain

Hayit Greenspan, Arnaldo Mayer, Allon Shahar, 2003, SPIE Medical Imaging.

Content analysis of uterine cervix images: initial steps toward content based indexing and retrieval of cervigrams

Shiri Gordon, Hayit Greenspan, L. Rodney Long, 2006, SPIE Medical Imaging.

Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system

Shiri Gordon, Hayit Greenspan, Gali Zimmerman-Moreno, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Addressing the ImageClef 2009 Challenge Using a Patch-based Visual Words Representation

Hayit Greenspan, Jacob Goldberger, Uri Avni, 2009, CLEF.

Doppler echocardiography flow-velocity image analysis for patients with atrial fibrillation.

Hayit Greenspan, Oron Shechner, Mickey Scheinowitz, 2005, Ultrasound in medicine & biology.

AALIM: A Cardiac Clinical Decision Support System Powered By Advanced Multi-modal Analytics

Hayit Greenspan, Kilian M. Pohl, David Beymer, 2010, MedInfo.

Joint Liver Lesion Segmentation and Classification via Transfer Learning pdf

Hayit Greenspan, Michal Heker, H. Greenspan, 2020, ArXiv.

MRI Inter-slice Reconstruction Using Super-Resolution

Hayit Greenspan, Nahum Kiryati, Sharon Peled, 2001, MICCAI.

Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework

Hayit Greenspan, Jacob Goldberger, Omer Rotem, 2009, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Chest Radiograph Pathology Categorization via Transfer Learning

Hayit Greenspan, Eli Konen, Gali Zimmerman-Moreno, 2017, Deep Learning for Medical Image Analysis.

Automatic classification of images of an angiography sequence using modified shape context-based spatial pyramid kernels

Yong Zhang, Hayit Greenspan, David Beymer, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying

Jitendra Malik, Hayit Greenspan, Serge J. Belongie, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Adaptive mean-shift registration of white matter tractographies

Hayit Greenspan, Arnaldo Mayer, Orly Zvitia, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

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.

Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset

Hayit Greenspan, Ophir Gozes, H. Greenspan, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

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

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

Improved CycleGAN with application to COVID-19 classification

Hayit Greenspan, Noa Cahan, Dana Cohen, 2021, Medical Imaging.

Harnessing generative adversarial networks to generate synthetic mitosis images for classification of cell images

Hayit Greenspan, Amit Gefen, Anat Shkolyar, 2021, Medical Imaging.

Transfer Learning via Parameter Regularization for Medical Image Segmentation

Hayit Greenspan, Jacob Goldberger, Nimrod Sagie, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

RadImageNet: A Large-scale Radiologic Dataset for Enhancing Deep Learning Transfer Learning Research

Ying Wang, Hayit Greenspan, Timothy Deyer, 2021 .

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

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