Hayit Greenspan

240 papers A* 8A 1B 16Journal 87Unranked 106
YearRankTypeTitle / Venue / Authors
2026 J jnl
Anatomical Token Uncertainty for Transformer-Guided Active MRI Acquisition.
CoRR
Lev Ayzenberg, Shady Abu-Hussein, Raja Giryes, Hayit Greenspan
2025 — conf
Cross-Modal CXR-CTPA Knowledge Distillation Using Latent Diffusion Priors Towards CXR Pulmonary Embolism Diagnosis.
MICCAI (15)
Noa Cahan, Meshi Sizikov, Hayit Greenspan
2025 — conf
Enhancing Retinal Disease Detection: a Self-Training Approach for Unsupervised Domain Adaptation.
SPA
Tomer Bar Natan, Hayit Greenspan, Jacob Goldberger
2025 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops - LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings
LDTM/MMMI/ML4MHD/ML-CDS@MICCAI
Anna Schroder, Xiang Li, Tanveer F. Syeda-Mahmood, Neil P. Oxtoby, Alexandra L. Young, Alessa Hering, Tejas Sudharshan Mathai, Pritam Mukherjee, Sven Kuckertz, Tiantian He, Isaac Llorente-Saguer, Andreas Maier, Satyananda Kashyap, Hayit Greenspan, Anant Madabhushi
2025 J jnl
Neural network reconstruction of the left atrium using sparse catheter paths.
Int. J. Comput. Assist. Radiol. Surg.
Alon Baram, Moshe Safran, Tomer Noy, Naveh Geri, Hayit Greenspan
2025 J jnl
X-ray2CTPA: leveraging diffusion models to enhance pulmonary embolism classification.
npj Digit. Medicine
Noa Cahan, Eyal Klang, Galit Aviram, Yiftach Barash, Eli Konen, Raja Giryes, Hayit Greenspan
2024 — conf
DINOv2 Based Self Supervised Learning for Few Shot Medical Image Segmentation.
ISBI
Lev Ayzenberg, Raja Giryes, Hayit Greenspan
2024 J jnl
DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation.
CoRR
Lev Ayzenberg, Raja Giryes, Hayit Greenspan
2024 J jnl
ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models.
CoRR
Lev Ayzenberg, Raja Giryes, Hayit Greenspan
2024 J jnl
X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning.
CoRR
Noa Cahan, Eyal Klang, Galit Aviram, Yiftach Barash, Eli Konen, Raja Giryes, Hayit Greenspan
2023 J jnl
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels.
CoRR
Dana Cohen Hochberg, Hayit Greenspan, Raja Giryes
2023 J jnl
A foundational vision transformer improves diagnostic performance for electrocardiograms.
npj Digit. Medicine
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
2023 — conf
Detecting Anatomy Openings in the Left Atrium Via a Triangular Ultrasonic Array Using Deep Learning.
ISBI
Alon Baram, Oded Ovadia, Grigoriy Zurakhov, Raja Giyras, Eli Turkel, Hayit Greenspan
2023 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part I
MICCAI (1)
Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part II
MICCAI (2)
Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part III
MICCAI (3)
Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IV
MICCAI (4)
Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IX
MICCAI (9)
Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part V
MICCAI (5)
Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VI
MICCAI (6)
Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VII
MICCAI (7)
Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII
MICCAI (8)
Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023 — ed.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part X
MICCAI (10)
Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023 J jnl
Neural Network Reconstruction of the Left Atrium using Sparse Catheter Paths.
CoRR
Alon Baram, Moshe Safran, Tomer Noy, Naveh Geri, Hayit Greenspan
2023 — conf
PLPP: A Pseudo Labeling Post-Processing Strategy for Unsupervised Domain Adaptation.
ISBI
Tomer Bar Natan, Hayit Greenspan, Jacob Goldberger
2023 — conf
PLST: A Pseudo-labels with a Smooth Transition Strategy for Medical Site Adaptation.
DART@MICCAI
Tomer Bar Natan, Hayit Greenspan, Jacob Goldberger
2023 J jnl
Supervised Domain Adaptation by transferring both the parameter set and its gradient.
Neurocomputing
Shaya Goodman, Hayit Greenspan, Jacob Goldberger
2023 J jnl
The Liver Tumor Segmentation Benchmark (LiTS).
Medical Image Anal.
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
2022 J jnl
A Self Supervised StyleGAN for Image Annotation and Classification With Extremely Limited Labels.
IEEE Trans. Medical Imaging
Dana Cohen Hochberg, Hayit Greenspan, Raja Giryes
2022 — conf
Adaptation of a Multi-Site Network to a New Clinical Site Via Batch-Normalization Similarity.
ISBI
Shira Kasten Serlin, Jacob Goldberger, Hayit Greenspan
2022 — conf
Class-Based Attention Mechanism for Chest Radiograph Multi-Label Categorization.
ISBI
David Sriker, Hayit Greenspan, Jacob Goldberger
2022 — conf
Deep learning based multiple sclerosis lesion detection utilizing synthetic data generation and soft attention mechanism.
Computer-Aided Diagnosis
Omer Zucker Shmueli, Chen Solomon, Noam Ben-Eliezer, Hayit Greenspan
2022 J jnl
HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes.
CoRR
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
2022 — conf
Supervised Domain Adaptation Using Gradients Transfer for Improved Medical Image Analysis.
DART@MICCAI
Shaya Goodman, Hayit Greenspan, Jacob Goldberger
2022 — conf
Unsupervised Site Adaptation by Intra-site Variability Alignment.
DART@MICCAI
Shaya Goodman, Shira Kasten Serlin, Hayit Greenspan, Jacob Goldberger
2022 — conf
Weakly Supervised Multimodal 30-Day All-Cause Mortality Prediction for Pulmonary Embolism Patients.
ISBI
Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan
2022 J jnl
Weakly supervised attention model for RV strain classification from volumetric CTPA scans.
Comput. Methods Programs Biomed.
Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan
2022 B conf
Weakly supervised brain tumor segmentation via semantic affinity deep neural network.
Image Processing
Moshe Yerachmiel, Hayit Greenspan
2021 J jnl
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises.
Proc. IEEE
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
2021 — conf
Automated Triage Of Covid-19 From Various Lung Abnormalities Using Chest Ct Features.
ISBI
Dor Amran, Maayan Frid-Adar, Nimrod Sagie, Jannette Nassar, Asher Kabakovitch, Hayit Greenspan
2021 J jnl
COVID-19 in CXR: From Detection and Severity Scoring to Patient Disease Monitoring.
IEEE J. Biomed. Health Informatics
Maayan Frid-Adar, Rula Amer, Ophir Gozes, Jannette Nassar, Hayit Greenspan
2021 — conf
COVID-19 opacity segmentation in chest CT via HydraNet: a joint learning multi-decoder network.
Computer-Aided Diagnosis
Nimrod Sagie, Shiri Almog, Ayelet Talby, Hayit Greenspan
2021 — conf
Deep learning analysis on raw image data: case study on holographic cell analysis.
Computer-Aided Diagnosis
Gal Gozes, Shani Ben Baruch, Noa Rotman-Nativ, Darina Roitshtain, Natan T. Shaked, Hayit Greenspan
2021 — conf
Harnessing generative adversarial networks to generate synthetic mitosis images for classification of cell images.
Digital Pathology
Gal Gozes, Anat Shkolyar, Amit Gefen, Dafna Benayahu, Hayit Greenspan
2021 B conf
Improved CycleGAN with application to COVID-19 classification.
Image Processing
Asaf Bar-El, Dana Cohen, Noa Cahan, Hayit Greenspan
2021 — conf
Improved segmentation by adversarial U-Net.
Computer-Aided Diagnosis
David Sriker, Dana Cohen, Noa Cahan, Hayit Greenspan
2021 — conf
Learning Rotation Invariant Features For Cryogenic Electron Microscopy Image Reconstruction.
ISBI
Koby Bibas, Gili Weiss-Dicker, Dana Cohen, Noa Cahan, Hayit Greenspan
2021 J jnl
Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction.
CoRR
Koby Bibas, Gili Weiss-Dicker, Dana Cohen, Noa Cahan, Hayit Greenspan
2021 — ed.
Multimodal Learning for Clinical Decision Support - 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
ML-CDS@MICCAI
Tanveer F. Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard M. Leahy, Bin Dong, Hongzhi Wang
2021 — conf
RV strain classification from 3D CTPA scans using weakly supervised residual attention model.
Computer-Aided Diagnosis
Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan
2021 J jnl
Real-time mapping of a whole heart chamber using a novel sparse ultrasonic catheter array.
Int. J. Comput. Assist. Radiol. Surg.
Alon Baram, Hayit Greenspan, Zvi Freidman
2021 B conf
Style encoding for class-specific image generation.
Image Processing
Dana Cohen Hochberg, Raja Giryes, Hayit Greenspan
2021 — conf
Transfer Learning via Parameter Regularization for Medical Image Segmentation.
EUSIPCO
Nimrod Sagie, Hayit Greenspan, Jacob Goldberger
2021 — conf
Transfer Learning with a Layer Dependent Regularization for Medical Image Segmentation.
MLMI@MICCAI
Nimrod Sagie, Hayit Greenspan, Jacob Goldberger
2021 J jnl
Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans.
CoRR
Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan
2020 — conf
A Weakly Supervised Deep Learning Framework for COVID-19 CT Detection and Analysis.
TIA@MICCAI
Ophir Gozes, Maayan Frid-Adar, Nimrod Sagie, Asher Kabakovitch, Dor Amran, Rula Amer, Hayit Greenspan
2020 J jnl
A mixture of views network with applications to multi-view medical imaging.
Neurocomputing
Yaniv Shachor, Hayit Greenspan, Jacob Goldberger
2020 J jnl
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises.
CoRR
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
2020 J jnl
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection.
IEEE J. Biomed. Health Informatics
Liyan Sun, Jiexiang Wang, Yue Huang, Xinghao Ding, Hayit Greenspan, John W. Paisley
2020 J jnl
Automated triage of COVID-19 from various lung abnormalities using chest CT features.
CoRR
Dor Amran, Maayan Frid-Adar, Nimrod Sagie, Jannette Nassar, Asher Kabakovitch, Hayit Greenspan
2020 — conf
Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data.
ISBI
Ophir Gozes, Hayit Greenspan
2020 J jnl
Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data.
CoRR
Ophir Gozes, Hayit Greenspan
2020 J jnl
COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring.
CoRR
Rula Amer, Maayan Frid-Adar, Ophir Gozes, Jannette Nassar, Hayit Greenspan
2020 J jnl
Coronavirus Detection and Analysis on Chest CT with Deep Learning.
CoRR
Ophir Gozes, Maayan Frid-Adar, Nimrod Sagie, Huangqi Zhang, Wenbin Ji, Hayit Greenspan
2020 J jnl
Joint Liver Lesion Segmentation and Classification via Transfer Learning.
CoRR
Michal Heker, Hayit Greenspan
2020 — conf
Learning Probabilistic Fusion of Multilabel Lesion Contours.
ISBI
Gal Cohen, Hayit Greenspan, Jacob Goldberger
2020 — ed.
Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures - 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings
ML-CDS/CLIP@MICCAI
Tanveer F. Syeda-Mahmood, Klaus Drechsler, Hayit Greenspan, Anant Madabhushi, Alexandros Karargyris, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Marius Erdt
2020 — conf
Nodule2vec: A 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation.
MICCAI (6)
Ilia Kravets, Tal Heletz, Hayit Greenspan
2020 J jnl
Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation.
CoRR
Ilia Kravets, Tal Heletz, Hayit Greenspan
2020 J jnl
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.
Hayit Greenspan, Raúl San José Estépar, Wiro J. Niessen, Eliot L. Siegel, Mads Nielsen
2020 J jnl
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis.
CoRR
Ophir Gozes, Maayan Frid-Adar, Hayit Greenspan, Patrick D. Browning, Huangqi Zhang, Wenbin Ji, Adam Bernheim, Eliot L. Siegel
2020 J jnl
Semi-supervised lung nodule retrieval.
CoRR
Mark Loyman, Hayit Greenspan
2019 — conf
A Mixture of Views Network With Applications to the Classification of Breast Microcalcifications.
ISBI
Yaniv Shachor, Hayit Greenspan, Jacob Goldberger
2019 — conf
A Soft STAPLE Algorithm Combined with Anatomical Knowledge.
MICCAI (3)
Eytan Kats, Jacob Goldberger, Hayit Greenspan
2019 J jnl
A Soft STAPLE Algorithm Combined with Anatomical Knowledge.
CoRR
Eytan Kats, Jacob Goldberger, Hayit Greenspan
2019 — conf
A Sparsely Distributed Intra-cardial Ultrasonic Array for Real-Time Endocardial Mapping.
MICCAI (5)
Alon Baram, Hayit Greenspan, Zvi Freidman
2019 — conf
Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images.
MICCAI (2)
Rula Amer, Jannette Nassar, David Bendahan, Hayit Greenspan, Noam Ben-Eliezer
2019 J jnl
Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images.
CoRR
Rula Amer, Jannette Nassar, David Bendahan, Hayit Greenspan, Noam Ben-Eliezer
2019 J jnl
Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection.
Eng. Appl. Artif. Intell.
Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan
2019 — conf
Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset.
EMBC
Ophir Gozes, Hayit Greenspan
2019 J jnl
Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset.
CoRR
Ophir Gozes, Hayit Greenspan
2019 — conf
Endotracheal Tube Detection and Segmentation in Chest Radiographs Using Synthetic Data.
MICCAI (6)
Maayan Frid-Adar, Rula Amer, Hayit Greenspan
2019 J jnl
Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data.
CoRR
Maayan Frid-Adar, Rula Amer, Hayit Greenspan
2019 — conf
Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT.
EMBC
Michal Heker, Avi Ben-Cohen, Hayit Greenspan
2019 — conf
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT.
EMBC
Avi Ben-Cohen, Roey Mechrez, Noa Yedidia, Hayit Greenspan
2019 — ed.
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
iMIMIC/ML-CDS@MICCAI
Kenji Suzuki, Mauricio Reyes, Tanveer F. Syeda-Mahmood, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi
2019 — conf
Lung nodule retrieval using semantic similarity estimates.
Computer-Aided Diagnosis
Mark Loyman, Hayit Greenspan
2019 — conf
Soft Labeling by Distilling Anatomical Knowledge for Improved MS Lesion Segmentation.
ISBI
Eytan Kats, Jacob Goldberger, Hayit Greenspan
2019 J jnl
Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation.
CoRR
Eytan Kats, Jacob Goldberger, Hayit Greenspan
2019 J jnl
The Liver Tumor Segmentation Benchmark (LiTS).
CoRR
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
2019 — ed.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures - First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
UNSURE/CLIP@MICCAI
Hayit Greenspan, Ryutaro Tanno, Marius Erdt, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Carole H. Sudre, William M. Wells III, Klaus Drechsler, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester
2018 J jnl
A Mixture of Views Network with Applications to the Classification of Breast Microcalcifications.
CoRR
Yaniv Shachor, Hayit Greenspan, Jacob Goldberger
2018 J jnl
Anatomical Data Augmentation For CNN based Pixel-wise Classification.
CoRR
Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan
2018 — conf
Anatomical data augmentation for CNN based pixel-wise classification.
ISBI
Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan
2018 — conf
Automatic liver volume segmentation and fibrosis classification.
Computer-Aided Diagnosis
Evgeny Bal, Eyal Klang, Michal Amitai, Hayit Greenspan
2018 J jnl
Chest pathology identification using deep feature selection with non-medical training.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Yaniv Bar, Idit Diamant, Lior Wolf, Sivan Lieberman, Eli Konen, Hayit Greenspan
2018 J jnl
Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection.
CoRR
Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan
2018 — ed.
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
DLMIA/ML-CDS@MICCAI
Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi
2018 J jnl
Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations.
Neurocomputing
Avi Ben-Cohen, Eyal Klang, Ariel Kerpel, Eli Konen, Michal Amitai, Hayit Greenspan
2018 J jnl
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification.
CoRR
Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2018 J jnl
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification.
Neurocomputing
Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2018 J jnl
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT.
CoRR
Avi Ben-Cohen, Roey Mechrez, Noa Yedidia, Hayit Greenspan
2018 — conf
Improving the Segmentation of Anatomical Structures in Chest Radiographs Using U-Net with an ImageNet Pre-trained Encoder.
RAMBO+BIA+TIA@MICCAI
Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer, Hayit Greenspan
2018 J jnl
Improving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder.
CoRR
Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer, Hayit Greenspan
2018 — conf
Left Atria Reconstruction from a Series of Sparse Catheter Paths Using Neural Networks.
MLMIR@MICCAI
Alon Baram, Moshe Safran, Avi Ben-Cohen, Hayit Greenspan
2018 — conf
Lung Structures Enhancement in Chest Radiographs via CT Based FCNN Training.
RAMBO+BIA+TIA@MICCAI
Ophir Gozes, Hayit Greenspan
2018 J jnl
Lung Structures Enhancement in Chest Radiographs via CT based FCNN Training.
CoRR
Ophir Gozes, Hayit Greenspan
2018 — conf
Pneumothorax detection in chest radiographs using convolutional neural network.
Computer-Aided Diagnosis
Aviel Blumenfeld, Eli Konen, Hayit Greenspan
2018 J jnl
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification.
CoRR
Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2018 — conf
Synthetic data augmentation using GAN for improved liver lesion classification.
ISBI
Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2018 — conf
Training a neural network based on unreliable human annotation of medical images.
ISBI
Yair Dgani, Hayit Greenspan, Jacob Goldberger
2017 — ch.
Chest Radiograph Pathology Categorization via Transfer Learning.
Deep Learning for Medical Image Analysis
Idit Diamant, Yaniv Bar, Ofer Geva, Lior Wolf, Gali Zimmerman, Sivan Lieberman, Eli Konen, Hayit Greenspan
2017 — book
Deep Learning for Medical Image Analysis, 1st Edition
Shaohua Kevin Zhou, Hayit Greenspan, Dinggang Shen
2017 — ed.
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings
DLMIA/ML-CDS@MICCAI
M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu
2017 — conf
Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN.
Patch-MI@MICCAI
Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2017 J jnl
Modeling the Intra-class Variability for Liver Lesion Detection using a Multi-class Patch-based CNN.
CoRR
Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2017 J jnl
Multi-view longitudinal CNN for multiple sclerosis lesion segmentation.
Eng. Appl. Artif. Intell.
Ariel Birenbaum, Hayit Greenspan
2017 J jnl
Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification.
IEEE Trans. Biomed. Eng.
Idit Diamant, Eyal Klang, Michal Amitai, Eli Konen, Jacob Goldberger, Hayit Greenspan
2017 J jnl
The fiber-density-coreset for redundancy reduction in huge fiber-sets.
NeuroImage
Guy Alexandroni, Gali Zimmerman-Moreno, Nir A. Sochen, Hayit Greenspan
2017 — conf
Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results.
SASHIMI@MICCAI
Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Michal Amitai, Hayit Greenspan
2017 J jnl
Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results.
CoRR
Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Michal Amitai, Hayit Greenspan
2017 — conf
White Matter Fiber Representation Using Continuous Dictionary Learning.
MICCAI (1)
Guy Alexandroni, Yana Podolsky, Hayit Greenspan, Tal Remez, Or Litany, Alexander M. Bronstein, Raja Giryes
2016 — conf
A multi-view deep learning architecture for classification of breast microcalcifications.
ISBI
Alan Joseph Bekker, Hayit Greenspan, Jacob Goldberger
2016 B conf
Coresets vs clustering: comparison of methods for redundancy reduction in very large white matter fiber sets.
Image Processing
Guy Alexandroni, Gali Zimmerman-Moreno, Nir A. Sochen, Hayit Greenspan
2016 — conf
Deep Learning in Medical Applications.
BIOSTEC
Hayit Greenspan
2016 — conf
Fully Convolutional Network for Liver Segmentation and Lesions Detection.
LABELS/DLMIA@MICCAI
Avi Ben-Cohen, Idit Diamant, Eyal Klang, Michal Amitai, Hayit Greenspan
2016 J jnl
Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique.
IEEE Trans. Medical Imaging
Hayit Greenspan, Bram van Ginneken, Ronald M. Summers
2016 J jnl
Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions.
IEEE J. Biomed. Health Informatics
Idit Diamant, Assaf Hoogi, Christopher F. Beaulieu, Mustafa Safdari, Eyal Klang, Michal Amitai, Hayit Greenspan, Daniel L. Rubin
2016 — conf
Localized Fisher vector representation for pathology detection in chest radiographs.
Computer-Aided Diagnosis
Ofer Geva, Sivan Lieberman, Eli Konen, Hayit Greenspan
2016 — conf
Longitudinal Multiple Sclerosis Lesion Segmentation Using Multi-view Convolutional Neural Networks.
LABELS/DLMIA@MICCAI
Ariel Birenbaum, Hayit Greenspan
2016 J jnl
Multi-View Probabilistic Classification of Breast Microcalcifications.
IEEE Trans. Medical Imaging
Alan Joseph Bekker, Moran Shalhon, Hayit Greenspan, Jacob Goldberger
2016 B conf
Mutual information criterion for feature selection with application to classification of breast microcalcifications.
Image Processing
Idit Diamant, Moran Shalhon, Jacob Goldberger, Hayit Greenspan
2016 J jnl
Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI.
Int. J. Biomed. Imaging
Roey Mechrez, Jacob Goldberger, Hayit Greenspan
2016 — conf
Sparsity-based liver metastases detection using learned dictionaries.
ISBI
Avi Ben-Cohen, Eyal Klang, Michal Amitai, Hayit Greenspan
2016 — conf
Visualizing and enhancing a deep learning framework using patients age and gender for chest x-ray image retrieval.
Computer-Aided Diagnosis
Yaron Anavi, Ilya Kogan, Elad Gelbart, Ofer Geva, Hayit Greenspan
2015 — conf
A comparative study for chest radiograph image retrieval using binary texture and deep learning classification.
EMBC
Yaron Anavi, Ilya Kogan, Elad Gelbart, Ofer Geva, Hayit Greenspan
2015 — conf
Automatic detection of cell divisions (mitosis) in live-imaging microscopy images using Convolutional Neural Networks.
EMBC
Anat Shkolyar, Amit Gefen, Dafna Benayahu, Hayit Greenspan
2015 — conf
Chest pathology detection using deep learning with non-medical training.
ISBI
Yaniv Bar, Idit Diamant, Lior Wolf, Sivan Lieberman, Eli Konen, Hayit Greenspan
2015 — conf
Deep learning with non-medical training used for chest pathology identification.
Computer-Aided Diagnosis
Yaniv Bar, Idit Diamant, Lior Wolf, Hayit Greenspan
2015 — conf
Learning to combine decisions from multiple mammography views.
ISBI
Alan Joseph Bekker, Moran Shalhon, Hayit Greenspan, Jacob Goldberger
2015 B conf
MS lesion segmentation using a multi-channel patch-based approach with spatial consistency.
Image Processing
Roey Mechrez, Jacob Goldberger, Hayit Greenspan
2015 — conf
Multi-phase liver lesions classification using relevant visual words based on mutual information.
ISBI
Idit Diamant, Jacob Goldberger, Eyal Klang, Michal Amitai, Hayit Greenspan
2015 — conf
Pneumothorax detection in chest radiographs using local and global texture signatures.
Computer-Aided Diagnosis
Ofer Geva, Gali Zimmerman-Moreno, Sivan Lieberman, Eli Konen, Hayit Greenspan
2014 — conf
Automatic detection and segmentation of liver metastatic lesions on serial CT examinations.
Computer-Aided Diagnosis
Avi Ben-Cohen, Idit Diamant, Eyal Klang, Michal Amitai, Hayit Greenspan
2014 — conf
Lung texture classification using bag of visual words.
Computer-Aided Diagnosis
Marina Asherov, Idit Diamant, Hayit Greenspan
2014 — conf
Texture feature based liver lesion classification.
Computer-Aided Diagnosis
Yeela Doron, Nitzan Mayer-Wolf, Idit Diamant, Hayit Greenspan
2013 — conf
Fiber Based Comparison of Whole Brain Tractographies with Application to Amyotrophic Lateral Sclerosis.
CDMRI/MMBC@MICCAI
Gali Zimmerman-Moreno, Dafna Ben-Bashat, Moran Artzi, Beatrice Nefussy, Vivian Drory, Orna Aizenstein, Hayit Greenspan
2013 — conf
Image patch-based method for automated classification and detection of focal liver lesions on CT.
Computer-Aided Diagnosis
Mustafa Safdari, Raghav Pasari, Daniel L. Rubin, Hayit Greenspan
2013 — ed.
Medical Content-Based Retrieval for Clinical Decision Support - Third MICCAI International Workshop, MCBR-CDS 2012, Nice, France, October 1, 2012, Revised Selected Papers
MCBR-CDS
Hayit Greenspan, Henning Müller, Tanveer Fathima Syeda-Mahmood
2013 — conf
Visual words based approach for tissue classification in mammograms.
Computer-Aided Diagnosis
Idit Diamant, Jacob Goldberger, Hayit Greenspan
2012 — ed.
Medical Content-Based Retrieval for Clinical Decision Support - Second MICCAI International Workshop, MCBR-CDS 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers
MCBR-CDS
Henning Müller, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood
2012 — conf
Overview of the Third Workshop on Medical Content-Based Retrieval for Clinical Decision Support (MCBR-CDS 2012).
MCBR-CDS
Henning Müller, Hayit Greenspan
2011 J jnl
A Supervised Framework for the Registration and Segmentation of White Matter Fiber Tracts.
IEEE Trans. Medical Imaging
Arnaldo Mayer, Gali Zimmerman-Moreno, Ran Shadmi, Amit Batikoff, Hayit Greenspan
2011 — conf
Automatic classification of images of an angiography sequence using modified shape context-based spatial pyramid kernels.
ISBI
Fei Wang, Yong Zhang, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood, David Beymer
2011 J jnl
Content-Based Image Retrieval in Radiology: Current Status and Future Directions.
J. Digit. Imaging
Ceyhun Burak Akgül, Daniel L. Rubin, Sandy Napel, Christopher F. Beaulieu, Hayit Greenspan, Burak Acar
2011 — conf
Overview of the Second Workshop on Medical Content-Based Retrieval for Clinical Decision Support.
MCBR-CDS
Adrien Depeursinge, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood, Henning Müller
2011 — conf
Pyramid Histograms of Motion Context with Application to Angiogram Video Classification.
FIMH
Fei Wang, Yong Zhang, David Beymer, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood
2011 — conf
System for pathology categorization and retrieval in chest radiographs.
Computer-Aided Diagnosis
Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharon, Jacob Goldberger
2011 J jnl
X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words.
IEEE Trans. Medical Imaging
Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharon, Jacob Goldberger
2011 — conf
X-ray Categorization and Spatial Localization of Chest Pathologies.
MICCAI (3)
Uri Avni, Hayit Greenspan, Jacob Goldberger
2010 — conf
AALIM: A Cardiac Clinical Decision Support System Powered By Advanced Multi-modal Analytics.
MedInfo
Arnon Amir, David Beymer, Julia Grace, Hayit Greenspan, Daniel Gruhl, Allen Hobbs, Kilian M. Pohl, Tanveer F. Syeda-Mahmood, Joseph Terdiman, Fei Wang
2010 J jnl
An agglomerative segmentation framework for non-convex regions within uterine cervix images.
Image Vis. Comput.
Shiri Gordon, Hayit Greenspan
2010 J jnl
Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images.
IEEE Trans. Medical Imaging
Amir Alush, Hayit Greenspan, Jacob Goldberger
2010 — conf
Chest x-ray characterization: from organ identification to pathology categorization.
Multimedia Information Retrieval
Uri Avni, Jacob Goldberger, Michal Sharon, Eli Konen, Hayit Greenspan
2010 J jnl
Co-registration of White Matter Tractographies by Adaptive-Mean-Shift and Gaussian Mixture Modeling.
IEEE Trans. Medical Imaging
Orly Zvitia, Arnaldo Mayer, Ran Shadmi, Shmuel Miron, Hayit Greenspan
2010 — ch.
Medical Image Classification at Tel Aviv and Bar Ilan Universities.
ImageCLEF
Uri Avni, Jacob Goldberger, Hayit Greenspan
2010 — conf
Piecewise smooth affine registration of point-sets with application to DT-MRI brain fiber-data.
ISBI
Ran Shadmi, Arnaldo Mayer, Nir A. Sochen, Hayit Greenspan
2010 A* conf
Shape-based similarity retrieval of Doppler images for clinical decision support.
CVPR
Tanveer Fathima Syeda-Mahmood, Pavan K. Turaga, David Beymer, Fei Wang, Arnon Amir, Hayit Greenspan, Kilian M. Pohl
2009 — conf
Addressing the ImageClef 2009 Challenge Using a Patch-based Visual Words Representation.
CLEF (Working Notes)
Uri Avni, Jacob Goldberger, Hayit Greenspan
2009 J jnl
An Adaptive Mean-Shift Framework for MRI Brain Segmentation.
IEEE Trans. Medical Imaging
Arnaldo Mayer, Hayit Greenspan
2009 J jnl
Automatic Detection of Anatomical Landmarks in Uterine Cervix Images.
IEEE Trans. Medical Imaging
Hayit Greenspan, Shiri Gordon, Gali Zimmerman, Shelly Lotenberg, Jose Jeronimo, Sameer K. Antani, L. Rodney Long
2009 — conf
Dense Simple Features for Fast and Accurate Medical X-Ray Annotation.
CLEF (2)
Uri Avni, Hayit Greenspan, Jacob Goldberger
2009 J jnl
Evaluation of uterine cervix segmentations using ground truth from multiple experts.
Comput. Medical Imaging Graph.
Shiri Gordon, Shelly Lotenberg, L. Rodney Long, Sameer K. Antani, Jose Jeronimo, Hayit Greenspan
2009 — conf
Lesion Detection and Segmentation in Uterine Cervix Images Using an Arc-Level MRF.
ISBI
Amir Alush, Hayit Greenspan, Jacob Goldberger
2009 J jnl
Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution.
Int. J. Biomed. Imaging
Oren Freifeld, Hayit Greenspan, Jacob Goldberger
2009 — conf
Regularized Super-Resolution of Brain MRI.
ISBI
Avraham Ben-Ezra, Hayit Greenspan, Yossi Rubner
2009 J jnl
Revisiting the Feature and Content Gap for Landmark- Based and Image-to-Image Retrieval in Medical CBIR.
Int. J. Heal. Inf. Syst. Informatics
Hayit Greenspan
2009 J jnl
Shape Priors for Segmentation of the Cervix Region Within Uterine Cervix Images.
J. Digit. Imaging
Shelly Lotenberg, Shiri Gordon, Hayit Greenspan
2009 J jnl
Super-Resolution in Medical Imaging.
Comput. J.
Hayit Greenspan
2009 — conf
X-Ray Image Categorization and Retrieval Using Patch-Based Visual Words Representation.
ISBI
Uri Avni, Hayit Greenspan, Michal Sharon, Eli Konen, Jacob Goldberger
2008 — conf
Adaptive mean-shift registration of white matter tractographies.
ISBI
Orly Zvitia, Arnaldo Mayer, Hayit Greenspan
2008 — conf
Bundles of interest based registration of White Matter tractographies.
ISBI
Arnaldo Mayer, Hayit Greenspan
2008 — conf
Classification trees for fast segmentation of DTI brain fiber tracts.
CVPR Workshops
Gali Zimmerman-Moreno, Arnaldo Mayer, Hayit Greenspan
2008 B conf
Shape priors for segmentation of the cervix region within uterine cervix images.
Image Processing
Shelly Lotenberg, Shiri Gordon, Hayit Greenspan
2008 J jnl
Simplifying Mixture Models Using the Unscented Transform.
IEEE Trans. Pattern Anal. Mach. Intell.
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss
2008 — conf
TAU MIPLAB at ImageClef 2008.
CLEF (Working Notes)
Uri Avni, Jacob Goldberger, Hayit Greenspan
2008 B conf
White matter tractographies registration using Gaussian mixture modeling.
Image Processing
Orly Zvitia, Arnaldo Mayer, Hayit Greenspan
2007 A* conf
An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification.
CVPR
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss
2007 A* conf
Can Born Approximate the Unborn? A New Validity Criterion for the Born Approximation in Microscopic Imaging.
ICCV
Sigal Trattner, Micha Feigin, Hayit Greenspan, Nir A. Sochen
2007 A* conf
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework.
CVPR
Omer Rotem, Hayit Greenspan, Jacob Goldberger
2007 B conf
Improved CSF classification and lesion detection in MR brain images with multiple sclerosis.
Image Processing
Yulian Wolff, Shmuel Miron, Anat Achiron, Hayit Greenspan
2007 — conf
Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours.
ISBI
Oren Freifeld, Hayit Greenspan, Jacob Goldberger
2007 J jnl
Medical Image Categorization and Retrieval for PACS Using the GMM-KL Framework.
IEEE Trans. Inf. Technol. Biomed.
Hayit Greenspan, Adi Pinhas
2007 B conf
Segmentation and tracking of human sperm cells using spatio- temporal representation and clustering.
Image Processing
Michael Berezansky, Hayit Greenspan, Daniel Cohen-Or, Osnat Eitan
2007 — conf
Segmentation of Non-convex Regions within Uterine Cervix Images.
ISBI
Shiri Gordon, Hayit Greenspan
2006 B conf
Automatic detection of specular reflections in uterine cervix images.
Image Processing
Gali Zimmerman-Moreno, Hayit Greenspan
2006 — conf
Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system.
ISBI
Gali Zimmerman, Shiri Gordon, Hayit Greenspan
2006 J jnl
Constrained Gaussian mixture model framework for automatic segmentation of MR brain images.
IEEE Trans. Medical Imaging
Hayit Greenspan, Amit Ruf, Jacob Goldberger
2006 B conf
Content analysis of uterine cervix images: initial steps toward content based indexing and retrieval of cervigrams.
Image Processing
Shiri Gordon, Gali Zimmerman, L. Rodney Long, Sameer K. Antani, Jose Jeronimo, Hayit Greenspan
2006 J jnl
Context-Based Segmentation of Image Sequences.
IEEE Trans. Pattern Anal. Mach. Intell.
Jacob Goldberger, Hayit Greenspan
2006 — conf
Illumination Correction for Content Analysis in Uterine Cervix Images.
CVPR Workshops
Hila Dvir, Shiri Gordon, Hayit Greenspan
2006 — conf
Segmentation of brain MRI by adaptive mean shift.
ISBI
Arnaldo Mayer, Hayit Greenspan
2006 J jnl
Unsupervised image-set clustering using an information theoretic framework.
IEEE Trans. Image Process.
Jacob Goldberger, Shiri Gordon, Hayit Greenspan
2005 — conf
Tissue Classification of Noisy MR Brain Images Using Constrained GMM.
MICCAI (2)
Amit Ruf, Hayit Greenspan, Jacob Goldberger
2004 — conf
A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions.
ISBI
Allon Shahar, Hayit Greenspan
2004 J jnl
Automatic identification of bacterial types using statistical imaging methods.
IEEE Trans. Medical Imaging
Sigal Trattner, Hayit Greenspan, Gabi Tepper, Shimon Abboud
2004 J jnl
Context-dependent segmentation and matching in image databases.
Comput. Vis. Image Underst.
Hayit Greenspan, Guy Dvir, Yossi Rubner
2004 — conf
Image Analysis of Doppler Echocardiography for Patients with Atrial Fibrillation.
ISBI
Oron Shechner, Hayit Greenspan, Mickey Sheinovitz, Micha Feinberg
2004 B conf
Image Segmentation of Uterine Cervix Images for Indexing in PACS.
CBMS
Shiri Gordon, Gali Zimmerman, Hayit Greenspan
2004 J jnl
Probabilistic Space-Time Video Modeling via Piecewise GMM.
IEEE Trans. Pattern Anal. Mach. Intell.
Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer
2004 — conf
Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions.
ECCV Workshops CVAMIA and MMBIA
Allon Shahar, Hayit Greenspan
2004 — conf
Statistical Imaging for Modeling and Identification of Bacterial Types.
ECCV Workshops CVAMIA and MMBIA
Sigal Trattner, Hayit Greenspan, Gabi Tepper, Shimon Abboud
2003 B conf
A probabilistic framework for the spatio-temporal segmentation of multiple sclerosis lesions in MR images of the brain.
Image Processing
Hayit Greenspan, Arnaldo Mayer, Allon Shahar
2003 A* conf
An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures.
ICCV
Jacob Goldberger, Shiri Gordon, Hayit Greenspan
2003 A* conf
Applying the Information Bottleneck Principle to Unsupervised Clustering of Discrete and Continuous Image Representations.
ICCV
Shiri Gordon, Hayit Greenspan, Jacob Goldberger
2003 B conf
Automatic identification of bacterial types using statistical imaging methods.
Image Processing
Sigal Trattner, Hayit Greenspan, Gabi Tepper, Shimon Abboud
2002 — conf
A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing.
ECCV (4)
Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer
2002 J jnl
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying.
IEEE Trans. Pattern Anal. Mach. Intell.
Chad Carson, Serge J. Belongie, Hayit Greenspan, Jitendra Malik
2002 — conf
Context-Based Image Modelling.
ICPR (4)
Guy Dvir, Hayit Greenspan, Yossi Rubner
2002 — conf
Probabilistic Models for Generating, Modelling and Matching Image Categories.
ICPR (3)
Hayit Greenspan, Shiri Gordon, Jacob Goldberger
2002 — conf
Super-resolution in MRI.
ISBI
Hayit Greenspan, Gal Oz, Nahum Kiryati, Sharon Peled
2002 — conf
Unsupervised Image Clustering Using the Information Bottleneck Method.
DAGM-Symposium
Jacob Goldberger, Hayit Greenspan, Shiri Gordon
2001 J jnl
A Continuous Probabilistic Framework for Image Matching.
Comput. Vis. Image Underst.
Hayit Greenspan, Jacob Goldberger, Lenny Ridel
2001 J jnl
Evaluation of Center-line Extraction Algorithms in Quantitative Coronary Angiography.
IEEE Trans. Medical Imaging
Hayit Greenspan, Moshe Laifenfeld, Shmuel Einav, Ofer Barnea
2001 A conf
MRI Inter-slice Reconstruction Using Super-Resolution.
MICCAI
Hayit Greenspan, Sharon Peled, Gal Oz, Nahum Kiryati
2001 J jnl
Mixture model for face-color modeling and segmentation.
Pattern Recognit. Lett.
Hayit Greenspan, Jacob Goldberger, Itay Eshet
2000 J jnl
Image enhancement by nonlinear extrapolation in frequency space.
IEEE Trans. Image Process.
Hayit Greenspan, Charles H. Anderson, Sofia Akber
1998 A* conf
Color- and Texture-based Image Segmentation Using the Expectation-Maximization Algorithm and its Application to Content-Based Image Retrieval.
ICCV
Serge J. Belongie, Chad Carson, Hayit Greenspan, Jitendra Malik
1996 — conf
Finding Pictures of Objects in Large Collections of Images.
Data Processing Clinic
David A. Forsyth, Jitendra Malik, Thomas K. Leung, Christoph Bregler, Chad Carson, Hayit Greenspan, Margaret M. Fleck
1996 — conf
Finding Pictures of Objects in Large Collections of Images.
Object Representation in Computer Vision
David A. Forsyth, Jitendra Malik, Margaret M. Fleck, Hayit Greenspan, Thomas K. Leung, Serge J. Belongie, Chad Carson, Christoph Bregler
1996 — conf
Finding objects in image databases by grouping.
ICIP (2)
Jitendra Malik, David A. Forsyth, Margaret M. Fleck, Hayit Greenspan, Thomas K. Leung, Chad Carson, Serge J. Belongie, Christoph Bregler
1995 B conf
Nonlinear edge enhancement.
ICIP
Hayit Greenspan, Sofia Akber
1994 J jnl
Learning Texture Discrimination Rules in a Multiresolution System.
IEEE Trans. Pattern Anal. Mach. Intell.
Hayit Greenspan, Rodney M. Goodman, Rama Chellappa, Charles H. Anderson
1994 A* conf
Overcomplete steerable pyramid filters and rotation invariance.
CVPR
Hayit Greenspan, Serge J. Belongie, Rodney M. Goodman, Pietro Perona, Subrata Rakshit, Charles H. Anderson
1994 — conf
Rotation invariant texture recognition using a steerable pyramid.
ICPR (2)
Hayit Greenspan, Serge J. Belongie, Rodney M. Goodman, Pietro Perona
1993 — conf
Learning in Computer Vision and Image Understanding.
NIPS
Hayit Greenspan
1992 J jnl
Projection-Based Approach to Image Analysis: Pattern Recognition and Representation in the Position-Orientation Space.
IEEE Trans. Pattern Anal. Mach. Intell.
Hayit Greenspan, Moshe Porat, Yehoshua Y. Zeevi
1992 — conf
Remote Sensing Image Analysis via a Texture Classification Neural Network.
NIPS
Hayit Greenspan, Rodney M. Goodman
1991 — conf
Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery.
NIPS
Hayit Greenspan, Rodney M. Goodman, Rama Chellappa
1988 J jnl
Glass pattern recognition with neural-networks.
Neural Networks
Hayit Greenspan, M. Fleisher, Moshe Porat, Yehoshua Y. Zeevi