Hayit Greenspan

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 118

Top Venues

CoRR

ISBI

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Processing

Publications

Lev Ayzenberg, Raja Giryes, Hayit Greenspan
DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation. CoRR (2024)
Noa Cahan, Eyal Klang, Galit Aviram, Yiftach Barash, Eli Konen, Raja Giryes, Hayit Greenspan
X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning. CoRR (2024)
Lev Ayzenberg, Raja Giryes, Hayit Greenspan
ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models. CoRR (2024)
Tomer Bar Natan, Hayit Greenspan, Jacob Goldberger
PLST: A Pseudo-labels with a Smooth Transition Strategy for Medical Site Adaptation. DART@MICCAI (2023)
Alon Baram, Moshe Safran, Tomer Noy, Naveh Geri, Hayit Greenspan
Neural Network Reconstruction of the Left Atrium using Sparse Catheter Paths. CoRR (2023)
Tomer Bar Natan, Hayit Greenspan, Jacob Goldberger
PLPP: A Pseudo Labeling Post-Processing Strategy for Unsupervised Domain Adaptation. ISBI (2023)
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
A foundational vision transformer improves diagnostic performance for electrocardiograms. npj Digit. Medicine 6 (2023)
Shaya Goodman, Hayit Greenspan, Jacob Goldberger
Supervised Domain Adaptation by transferring both the parameter set and its gradient. Neurocomputing 560 (2023)
Alon Baram, Oded Ovadia, Grigoriy Zurakhov, Raja Giyras, Eli Turkel, Hayit Greenspan
Detecting Anatomy Openings in the Left Atrium Via a Triangular Ultrasonic Array Using Deep Learning. ISBI (2023)
Dana Cohen Hochberg, Hayit Greenspan, Raja Giryes
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels. CoRR (2023)
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84 (2023)
Shaya Goodman, Hayit Greenspan, Jacob Goldberger
Supervised Domain Adaptation Using Gradients Transfer for Improved Medical Image Analysis. DART@MICCAI (2022)
Omer Zucker Shmueli, Chen Solomon, Noam Ben-Eliezer, Hayit Greenspan
Deep learning based multiple sclerosis lesion detection utilizing synthetic data generation and soft attention mechanism. Medical Imaging: Computer-Aided Diagnosis (2022)
Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan
Weakly supervised attention model for RV strain classification from volumetric CTPA scans. Comput. Methods Programs Biomed. 220 (2022)
David Sriker, Hayit Greenspan, Jacob Goldberger
Class-Based Attention Mechanism for Chest Radiograph Multi-Label Categorization. ISBI (2022)
Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan
Weakly Supervised Multimodal 30-Day All-Cause Mortality Prediction for Pulmonary Embolism Patients. ISBI (2022)
Shaya Goodman, Shira Kasten Serlin, Hayit Greenspan, Jacob Goldberger
Unsupervised Site Adaptation by Intra-site Variability Alignment. DART@MICCAI (2022)
Moshe Yerachmiel, Hayit Greenspan
Weakly supervised brain tumor segmentation via semantic affinity deep neural network. Medical Imaging: Image Processing (2022)
Shira Kasten Serlin, Jacob Goldberger, Hayit Greenspan
Adaptation of a Multi-Site Network to a New Clinical Site Via Batch-Normalization Similarity. ISBI (2022)
Dana Cohen Hochberg, Hayit Greenspan, Raja Giryes
A Self Supervised StyleGAN for Image Annotation and Classification With Extremely Limited Labels. IEEE Trans. Medical Imaging 41 (12) (2022)
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
HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes. CoRR (2022)
David Sriker, Dana Cohen, Noa Cahan, Hayit Greenspan
Improved segmentation by adversarial U-Net. Medical Imaging: Computer-Aided Diagnosis (2021)
Nimrod Sagie, Hayit Greenspan, Jacob Goldberger
Transfer Learning via Parameter Regularization for Medical Image Segmentation. EUSIPCO (2021)
Alon Baram, Hayit Greenspan, Zvi Freidman
Real-time mapping of a whole heart chamber using a novel sparse ultrasonic catheter array. Int. J. Comput. Assist. Radiol. Surg. 16 (1) (2021)
Dor Amran, Maayan Frid-Adar, Nimrod Sagie, Jannette Nassar, Asher Kabakovitch, Hayit Greenspan
Automated Triage Of Covid-19 From Various Lung Abnormalities Using Chest Ct Features. ISBI (2021)
Gal Gozes, Shani Ben Baruch, Noa Rotman-Nativ, Darina Roitshtain, Natan T. Shaked, Hayit Greenspan
Deep learning analysis on raw image data: case study on holographic cell analysis. Medical Imaging: Computer-Aided Diagnosis (2021)
Koby Bibas, Gili Weiss-Dicker, Dana Cohen, Noa Cahan, Hayit Greenspan
Learning Rotation Invariant Features For Cryogenic Electron Microscopy Image Reconstruction. ISBI (2021)
Maayan Frid-Adar, Rula Amer, Ophir Gozes, Jannette Nassar, Hayit Greenspan
COVID-19 in CXR: From Detection and Severity Scoring to Patient Disease Monitoring. IEEE J. Biomed. Health Informatics 25 (6) (2021)
Asaf Bar-El, Dana Cohen, Noa Cahan, Hayit Greenspan
Improved CycleGAN with application to COVID-19 classification. Medical Imaging: Image Processing (2021)
Koby Bibas, Gili Weiss-Dicker, Dana Cohen, Noa Cahan, Hayit Greenspan
Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction. CoRR (2021)
Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan
Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans. CoRR (2021)
Dana Cohen Hochberg, Raja Giryes, Hayit Greenspan
Style encoding for class-specific image generation. Medical Imaging: Image Processing (2021)
Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan
RV strain classification from 3D CTPA scans using weakly supervised residual attention model. Medical Imaging: Computer-Aided Diagnosis (2021)
Nimrod Sagie, Shiri Almog, Ayelet Talby, Hayit Greenspan
COVID-19 opacity segmentation in chest CT via HydraNet: a joint learning multi-decoder network. Medical Imaging: Computer-Aided Diagnosis (2021)
Gal Gozes, Anat Shkolyar, Amit Gefen, Dafna Benayahu, Hayit Greenspan
Harnessing generative adversarial networks to generate synthetic mitosis images for classification of cell images. Medical Imaging: Digital Pathology (2021)
Nimrod Sagie, Hayit Greenspan, Jacob Goldberger
Transfer Learning with a Layer Dependent Regularization for Medical Image Segmentation. MLMI@MICCAI (2021)
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. Proc. IEEE 109 (5) (2021)
Ophir Gozes, Maayan Frid-Adar, Nimrod Sagie, Asher Kabakovitch, Dor Amran, Rula Amer, Hayit Greenspan
A Weakly Supervised Deep Learning Framework for COVID-19 CT Detection and Analysis. TIA@MICCAI (2020)
Ilia Kravets, Tal Heletz, Hayit Greenspan
Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation. CoRR (2020)
Hayit Greenspan, Raúl San José Estépar, Wiro J. Niessen, Eliot L. Siegel, Mads Nielsen
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. Medical Image Anal. 66 (2020)
Ophir Gozes, Hayit Greenspan
Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data. ISBI (2020)
Ophir Gozes, Maayan Frid-Adar, Nimrod Sagie, Huangqi Zhang, Wenbin Ji, Hayit Greenspan
Coronavirus Detection and Analysis on Chest CT with Deep Learning. CoRR (2020)
Dor Amran, Maayan Frid-Adar, Nimrod Sagie, Jannette Nassar, Asher Kabakovitch, Hayit Greenspan
Automated triage of COVID-19 from various lung abnormalities using chest CT features. CoRR (2020)
Yaniv Shachor, Hayit Greenspan, Jacob Goldberger
A mixture of views network with applications to multi-view medical imaging. Neurocomputing 374 (2020)
Ophir Gozes, Hayit Greenspan
Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data. CoRR (2020)
Ophir Gozes, Maayan Frid-Adar, Hayit Greenspan, Patrick D. Browning, Huangqi Zhang, Wenbin Ji, Adam Bernheim, Eliot L. Siegel
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis. CoRR (2020)
Rula Amer, Maayan Frid-Adar, Ophir Gozes, Jannette Nassar, Hayit Greenspan
COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring. CoRR (2020)
Mark Loyman, Hayit Greenspan
Semi-supervised lung nodule retrieval. CoRR (2020)
Michal Heker, Hayit Greenspan
Joint Liver Lesion Segmentation and Classification via Transfer Learning. CoRR (2020)
Ilia Kravets, Tal Heletz, Hayit Greenspan
Nodule2vec: A 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation. MICCAI (6) (2020)
Gal Cohen, Hayit Greenspan, Jacob Goldberger
Learning Probabilistic Fusion of Multilabel Lesion Contours. ISBI (2020)
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. CoRR (2020)
Liyan Sun, Jiexiang Wang, Yue Huang, Xinghao Ding, Hayit Greenspan, John W. Paisley
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection. IEEE J. Biomed. Health Informatics 24 (8) (2020)
Alon Baram, Hayit Greenspan, Zvi Freidman
A Sparsely Distributed Intra-cardial Ultrasonic Array for Real-Time Endocardial Mapping. MICCAI (5) (2019)
Ophir Gozes, Hayit Greenspan
Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset. EMBC (2019)
Eytan Kats, Jacob Goldberger, Hayit Greenspan
Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation. CoRR (2019)
Rula Amer, Jannette Nassar, David Bendahan, Hayit Greenspan, Noam Ben-Eliezer
Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images. MICCAI (2) (2019)
Rula Amer, Jannette Nassar, David Bendahan, Hayit Greenspan, Noam Ben-Eliezer
Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images. CoRR (2019)
Yaniv Shachor, Hayit Greenspan, Jacob Goldberger
A Mixture of Views Network With Applications to the Classification of Breast Microcalcifications. ISBI (2019)
Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan
Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection. Eng. Appl. Artif. Intell. 78 (2019)
Maayan Frid-Adar, Rula Amer, Hayit Greenspan
Endotracheal Tube Detection and Segmentation in Chest Radiographs Using Synthetic Data. MICCAI (6) (2019)
Eytan Kats, Jacob Goldberger, Hayit Greenspan
A Soft STAPLE Algorithm Combined with Anatomical Knowledge. CoRR (2019)
Mark Loyman, Hayit Greenspan
Lung nodule retrieval using semantic similarity estimates. Medical Imaging: Computer-Aided Diagnosis (2019)
Avi Ben-Cohen, Roey Mechrez, Noa Yedidia, Hayit Greenspan
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT. EMBC (2019)
Ophir Gozes, Hayit Greenspan
Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset. CoRR (2019)
Eytan Kats, Jacob Goldberger, Hayit Greenspan
A Soft STAPLE Algorithm Combined with Anatomical Knowledge. MICCAI (3) (2019)
Michal Heker, Avi Ben-Cohen, Hayit Greenspan
Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT. EMBC (2019)
Maayan Frid-Adar, Rula Amer, Hayit Greenspan
Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data. CoRR (2019)
Eytan Kats, Jacob Goldberger, Hayit Greenspan
Soft Labeling by Distilling Anatomical Knowledge for Improved MS Lesion Segmentation. ISBI (2019)
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
The Liver Tumor Segmentation Benchmark (LiTS). CoRR (2019)
Avi Ben-Cohen, Eyal Klang, Ariel Kerpel, Eli Konen, Michal Amitai, Hayit Greenspan
Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations. Neurocomputing 275 (2018)
Aviel Blumenfeld, Eli Konen, Hayit Greenspan
Pneumothorax detection in chest radiographs using convolutional neural network. Medical Imaging: Computer-Aided Diagnosis (2018)
Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer, Hayit Greenspan
Improving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder. CoRR (2018)
Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification. CoRR (2018)
Ophir Gozes, Hayit Greenspan
Lung Structures Enhancement in Chest Radiographs via CT Based FCNN Training. RAMBO+BIA+TIA@MICCAI (2018)
Yaniv Shachor, Hayit Greenspan, Jacob Goldberger
A Mixture of Views Network with Applications to the Classification of Breast Microcalcifications. CoRR (2018)
Ophir Gozes, Hayit Greenspan
Lung Structures Enhancement in Chest Radiographs via CT based FCNN Training. CoRR (2018)
Avi Ben-Cohen, Roey Mechrez, Noa Yedidia, Hayit Greenspan
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT. CoRR (2018)
Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan
Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection. CoRR (2018)
Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification. CoRR (2018)
Alon Baram, Moshe Safran, Avi Ben-Cohen, Hayit Greenspan
Left Atria Reconstruction from a Series of Sparse Catheter Paths Using Neural Networks. MLMIR@MICCAI (2018)
Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification. Neurocomputing 321 (2018)
Evgeny Bal, Eyal Klang, Michal Amitai, Hayit Greenspan
Automatic liver volume segmentation and fibrosis classification. Medical Imaging: Computer-Aided Diagnosis (2018)
Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan
Anatomical Data Augmentation For CNN based Pixel-wise Classification. CoRR (2018)
Yaniv Bar, Idit Diamant, Lior Wolf, Sivan Lieberman, Eli Konen, Hayit Greenspan
Chest pathology identification using deep feature selection with non-medical training. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6 (3) (2018)
Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
Synthetic data augmentation using GAN for improved liver lesion classification. ISBI (2018)
Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan
Anatomical data augmentation for CNN based pixel-wise classification. ISBI (2018)
Yair Dgani, Hayit Greenspan, Jacob Goldberger
Training a neural network based on unreliable human annotation of medical images. ISBI (2018)
Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer, Hayit Greenspan
Improving the Segmentation of Anatomical Structures in Chest Radiographs Using U-Net with an ImageNet Pre-trained Encoder. RAMBO+BIA+TIA@MICCAI (2018)
Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN. Patch-MI@MICCAI (2017)
Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
Modeling the Intra-class Variability for Liver Lesion Detection using a Multi-class Patch-based CNN. CoRR (2017)
Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Michal Amitai, Hayit Greenspan
Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results. SASHIMI@MICCAI (2017)
Idit Diamant, Eyal Klang, Michal Amitai, Eli Konen, Jacob Goldberger, Hayit Greenspan
Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification. IEEE Trans. Biomed. Eng. 64 (6) (2017)
Ariel Birenbaum, Hayit Greenspan
Multi-view longitudinal CNN for multiple sclerosis lesion segmentation. Eng. Appl. Artif. Intell. 65 (2017)
Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Michal Amitai, Hayit Greenspan
Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results. CoRR (2017)
Guy Alexandroni, Yana Podolsky, Hayit Greenspan, Tal Remez, Or Litany, Alexander M. Bronstein, Raja Giryes
White Matter Fiber Representation Using Continuous Dictionary Learning. MICCAI (1) (2017)
Guy Alexandroni, Gali Zimmerman-Moreno, Nir A. Sochen, Hayit Greenspan
The fiber-density-coreset for redundancy reduction in huge fiber-sets. NeuroImage 146 (2017)
Guy Alexandroni, Gali Zimmerman-Moreno, Nir A. Sochen, Hayit Greenspan
Coresets vs clustering: comparison of methods for redundancy reduction in very large white matter fiber sets. Medical Imaging: Image Processing (2016)
Roey Mechrez, Jacob Goldberger, Hayit Greenspan
Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI. Int. J. Biomed. Imaging 2016 (2016)
Yaron Anavi, Ilya Kogan, Elad Gelbart, Ofer Geva, Hayit Greenspan
Visualizing and enhancing a deep learning framework using patients age and gender for chest x-ray image retrieval. Medical Imaging: Computer-Aided Diagnosis (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hayit Greenspan