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2020 – today
- 2024
[c129]Lev Ayzenberg, Raja Giryes, Hayit Greenspan:
DINOv2 Based Self Supervised Learning for Few Shot Medical Image Segmentation. ISBI 2024: 1-5- [i33]Lev Ayzenberg, Raja Giryes, Hayit Greenspan:
DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation. CoRR abs/2403.03273 (2024) - [i32]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 abs/2406.16109 (2024) - [i31]Lev Ayzenberg, Raja Giryes, Hayit Greenspan:
ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models. CoRR abs/2407.07042 (2024) - 2023
- [j51]Shaya Goodman, Hayit Greenspan, Jacob Goldberger:
Supervised Domain Adaptation by transferring both the parameter set and its gradient. Neurocomputing 560: 126828 (2023) - [j50]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: 102680 (2023) - [j49]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) - [c128]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: 1-5 - [c127]Tomer Bar Natan, Hayit Greenspan, Jacob Goldberger:
PLPP: A Pseudo Labeling Post-Processing Strategy for Unsupervised Domain Adaptation. ISBI 2023: 1-5 - [c126]Tomer Bar Natan, Hayit Greenspan, Jacob Goldberger:
PLST: A Pseudo-labels with a Smooth Transition Strategy for Medical Site Adaptation. DART@MICCAI 2023: 31-40 - [e19]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14220, Springer 2023, ISBN 978-3-031-43906-3 [contents] - [e18]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14221, Springer 2023, ISBN 978-3-031-43894-3 [contents] - [e17]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14222, Springer 2023, ISBN 978-3-031-43897-4 [contents] - [e16]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14223, Springer 2023, ISBN 978-3-031-43900-1 [contents] - [e15]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14224, Springer 2023, ISBN 978-3-031-43903-2 [contents] - [e14]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14225, Springer 2023, ISBN 978-3-031-43986-5 [contents] - [e13]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14226, Springer 2023, ISBN 978-3-031-43989-6 [contents] - [e12]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII. Lecture Notes in Computer Science 14227, Springer 2023, ISBN 978-3-031-43992-6 [contents] - [e11]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IX. Lecture Notes in Computer Science 14228, Springer 2023, ISBN 978-3-031-43995-7 [contents] - [e10]Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part X. Lecture Notes in Computer Science 14229, Springer 2023, ISBN 978-3-031-43998-8 [contents] - [i30]Alon Baram, Moshe Safran, Tomer Noy, Naveh Geri, Hayit Greenspan:
Neural Network Reconstruction of the Left Atrium using Sparse Catheter Paths. CoRR abs/2311.02488 (2023) - [i29]Dana Cohen Hochberg, Hayit Greenspan, Raja Giryes:
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels. CoRR abs/2312.15972 (2023) - 2022
- [j48]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: 106815 (2022) - [j47]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): 3509-3519 (2022) - [c125]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: 1-4 - [c124]Shira Kasten Serlin, Jacob Goldberger, Hayit Greenspan:
Adaptation of a Multi-Site Network to a New Clinical Site Via Batch-Normalization Similarity. ISBI 2022: 1-5 - [c123]David Sriker, Hayit Greenspan, Jacob Goldberger:
Class-Based Attention Mechanism for Chest Radiograph Multi-Label Categorization. ISBI 2022: 1-5 - [c122]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 - [c121]Shaya Goodman, Hayit Greenspan, Jacob Goldberger:
Supervised Domain Adaptation Using Gradients Transfer for Improved Medical Image Analysis. DART@MICCAI 2022: 23-32 - [c120]Shaya Goodman, Shira Kasten Serlin, Hayit Greenspan, Jacob Goldberger:
Unsupervised Site Adaptation by Intra-site Variability Alignment. DART@MICCAI 2022: 56-65 - [c119]Moshe Yerachmiel, Hayit Greenspan:
Weakly supervised brain tumor segmentation via semantic affinity deep neural network. Medical Imaging: Image Processing 2022 - [i28]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 abs/2212.14040 (2022) - 2021
- [j46]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): 133-140 (2021) - [j45]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): 820-838 (2021) - [j44]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): 1892-1903 (2021) - [c118]Nimrod Sagie, Hayit Greenspan, Jacob Goldberger:
Transfer Learning via Parameter Regularization for Medical Image Segmentation. EUSIPCO 2021: 985-989 - [c117]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: 155-159 - [c116]Koby Bibas, Gili Weiss-Dicker, Dana Cohen, Noa Cahan, Hayit Greenspan:
Learning Rotation Invariant Features For Cryogenic Electron Microscopy Image Reconstruction. ISBI 2021: 563-566 - [c115]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 - [c114]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 - [c113]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 - [c112]David Sriker, Dana Cohen, Noa Cahan, Hayit Greenspan:
Improved segmentation by adversarial U-Net. Medical Imaging: Computer-Aided Diagnosis 2021 - [c111]Nimrod Sagie, Hayit Greenspan, Jacob Goldberger:
Transfer Learning with a Layer Dependent Regularization for Medical Image Segmentation. MLMI@MICCAI 2021: 161-170 - [c110]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 - [c109]Asaf Bar-El, Dana Cohen, Noa Cahan, Hayit Greenspan:
Improved CycleGAN with application to COVID-19 classification. Medical Imaging: Image Processing 2021 - [c108]Dana Cohen Hochberg, Raja Giryes, Hayit Greenspan:
Style encoding for class-specific image generation. Medical Imaging: Image Processing 2021 - [e9]Tanveer F. Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard M. Leahy, Bin Dong, Hongzhi Wang:
Multimodal Learning for Clinical Decision Support - 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13050, Springer 2021, ISBN 978-3-030-89846-5 [contents] - [i27]Koby Bibas, Gili Weiss-Dicker, Dana Cohen, Noa Cahan, Hayit Greenspan:
Learning Rotation Invariant Features for Cryogenic Electron Microscopy Image Reconstruction. CoRR abs/2101.03549 (2021) - [i26]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 abs/2107.12009 (2021) - 2020
- [j43]Yaniv Shachor, Hayit Greenspan, Jacob Goldberger:
A mixture of views network with applications to multi-view medical imaging. Neurocomputing 374: 1-9 (2020) - [j42]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: 101800 (2020) - [j41]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): 2303-2314 (2020) - [c107]Gal Cohen, Hayit Greenspan, Jacob Goldberger:
Learning Probabilistic Fusion of Multilabel Lesion Contours. ISBI 2020: 767-771 - [c106]Ophir Gozes, Hayit Greenspan:
Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data. ISBI 2020: 858-861 - [c105]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: 84-93 - [c104]Ilia Kravets, Tal Heletz, Hayit Greenspan:
Nodule2vec: A 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation. MICCAI (6) 2020: 599-608 - [e8]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:
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. Lecture Notes in Computer Science 12445, Springer 2020, ISBN 978-3-030-60945-0 [contents] - [i25]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 abs/2003.05037 (2020) - [i24]Ophir Gozes, Hayit Greenspan:
Bone Structures Extraction and Enhancement in Chest Radiographs via CNN Trained on Synthetic Data. CoRR abs/2003.10839 (2020) - [i23]Ophir Gozes, Maayan Frid-Adar, Nimrod Sagie, Huangqi Zhang, Wenbin Ji, Hayit Greenspan:
Coronavirus Detection and Analysis on Chest CT with Deep Learning. CoRR abs/2004.02640 (2020) - [i22]Michal Heker, Hayit Greenspan:
Joint Liver Lesion Segmentation and Classification via Transfer Learning. CoRR abs/2004.12352 (2020) - [i21]Mark Loyman, Hayit Greenspan:
Semi-supervised lung nodule retrieval. CoRR abs/2005.01805 (2020) - [i20]Ilia Kravets, Tal Heletz, Hayit Greenspan:
Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation. CoRR abs/2007.07081 (2020) - [i19]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 abs/2008.02150 (2020) - [i18]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 abs/2008.09104 (2020) - [i17]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 abs/2010.12967 (2020)
2010 – 2019
- 2019
- [j40]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: 186-194 (2019) - [c103]Avi Ben-Cohen, Roey Mechrez, Noa Yedidia, Hayit Greenspan:
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT. EMBC 2019: 886-889 - [c102]Michal Heker, Avi Ben-Cohen, Hayit Greenspan:
Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT. EMBC 2019: 895-898 - [c101]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: 4076-4079 - [c100]Yaniv Shachor, Hayit Greenspan, Jacob Goldberger:
A Mixture of Views Network With Applications to the Classification of Breast Microcalcifications. ISBI 2019: 1065-1069 - [c99]Eytan Kats, Jacob Goldberger, Hayit Greenspan:
Soft Labeling by Distilling Anatomical Knowledge for Improved MS Lesion Segmentation. ISBI 2019: 1563-1566 - [c98]Mark Loyman, Hayit Greenspan:
Lung nodule retrieval using semantic similarity estimates. Medical Imaging: Computer-Aided Diagnosis 2019: 109503P - [c97]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: 219-227 - [c96]Alon Baram, Hayit Greenspan, Zvi Freidman:
A Sparsely Distributed Intra-cardial Ultrasonic Array for Real-Time Endocardial Mapping. MICCAI (5) 2019: 272-280 - [c95]Eytan Kats, Jacob Goldberger, Hayit Greenspan:
A Soft STAPLE Algorithm Combined with Anatomical Knowledge. MICCAI (3) 2019: 510-517 - [c94]Maayan Frid-Adar, Rula Amer, Hayit Greenspan:
Endotracheal Tube Detection and Segmentation in Chest Radiographs Using Synthetic Data. MICCAI (6) 2019: 784-792 - [e7]Kenji Suzuki, Mauricio Reyes, Tanveer F. Syeda-Mahmood, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi:
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. Lecture Notes in Computer Science 11797, Springer 2019, ISBN 978-3-030-33849-7 [contents] - [e6]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:
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. Lecture Notes in Computer Science 11840, Springer 2019, ISBN 978-3-030-32688-3 [contents] - [i16]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 abs/1901.04056 (2019) - [i15]Eytan Kats, Jacob Goldberger, Hayit Greenspan:
Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation. CoRR abs/1901.09263 (2019) - [i14]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 abs/1906.00768 (2019) - [i13]Maayan Frid-Adar, Rula Amer, Hayit Greenspan:
Endotracheal Tube Detection and Segmentation in Chest Radiographs using Synthetic Data. CoRR abs/1908.07170 (2019) - [i12]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 abs/1910.04866 (2019) - [i11]Eytan Kats, Jacob Goldberger, Hayit Greenspan:
A Soft STAPLE Algorithm Combined with Anatomical Knowledge. CoRR abs/1910.12077 (2019) - 2018
- [j39]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): 259-263 (2018) - [j38]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: 1585-1594 (2018) - [j37]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: 321-331 (2018) - [c93]Yair Dgani, Hayit Greenspan, Jacob Goldberger:
Training a neural network based on unreliable human annotation of medical images. ISBI 2018: 39-42 - [c92]Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
Synthetic data augmentation using GAN for improved liver lesion classification. ISBI 2018: 289-293 - [c91]Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan:
Anatomical data augmentation for CNN based pixel-wise classification. ISBI 2018: 1096-1099 - [c90]Aviel Blumenfeld, Eli Konen, Hayit Greenspan:
Pneumothorax detection in chest radiographs using convolutional neural network. Medical Imaging: Computer-Aided Diagnosis 2018: 1057504 - [c89]Evgeny Bal, Eyal Klang, Michal Amitai, Hayit Greenspan:
Automatic liver volume segmentation and fibrosis classification. Medical Imaging: Computer-Aided Diagnosis 2018: 1057506 - [c88]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: 138-146 - [c87]Ophir Gozes, Hayit Greenspan:
Lung Structures Enhancement in Chest Radiographs via CT Based FCNN Training. RAMBO+BIA+TIA@MICCAI 2018: 147-158 - [c86]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: 159-168 - [e5]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:
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. Lecture Notes in Computer Science 11045, Springer 2018, ISBN 978-3-030-00888-8 [contents] - [i10]Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan:
Anatomical Data Augmentation For CNN based Pixel-wise Classification. CoRR abs/1801.02261 (2018) - [i9]Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification. CoRR abs/1801.02385 (2018) - [i8]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 abs/1802.07846 (2018) - [i7]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 abs/1803.01229 (2018) - [i6]Yaniv Shachor, Hayit Greenspan, Jacob Goldberger:
A Mixture of Views Network with Applications to the Classification of Breast Microcalcifications. CoRR abs/1803.06898 (2018) - [i5]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 abs/1810.02113 (2018) - [i4]Ophir Gozes, Hayit Greenspan:
Lung Structures Enhancement in Chest Radiographs via CT based FCNN Training. CoRR abs/1810.05989 (2018) - [i3]Avi Ben-Cohen, Roey Mechrez, Noa Yedidia, Hayit Greenspan:
Improving CNN Training using Disentanglement for Liver Lesion Classification in CT. CoRR abs/1811.00501 (2018) - 2017
- [j36]Ariel Birenbaum, Hayit Greenspan:
Multi-view longitudinal CNN for multiple sclerosis lesion segmentation. Eng. Appl. Artif. Intell. 65: 111-118 (2017) - [j35]Guy Alexandroni, Gali Zimmerman-Moreno, Nir A. Sochen, Hayit Greenspan:
The fiber-density-coreset for redundancy reduction in huge fiber-sets. NeuroImage 146: 246-256 (2017) - [j34]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): 1380-1392 (2017) - [c85]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: 49-57 - [c84]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: 129-137 - [c83]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: 566-574 - [p2]Idit Diamant, Yaniv Bar, Ofer Geva, Lior Wolf, Gali Zimmerman, Sivan Lieberman, Eli Konen, Hayit Greenspan:
Chest Radiograph Pathology Categorization via Transfer Learning. Deep Learning for Medical Image Analysis 2017: 299-320 - [e4]Shaohua Kevin Zhou, Hayit Greenspan, Dinggang Shen:
Deep Learning for Medical Image Analysis, 1st Edition. Academic Press 2017, ISBN 978-0-12-810408-8 [contents] - [e3]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:
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. Lecture Notes in Computer Science 10553, Springer 2017, ISBN 978-3-319-67557-2 [contents] - [i2]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 abs/1707.06053 (2017) - [i1]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 abs/1707.09585 (2017) - 2016
- [j33]Roey Mechrez, Jacob Goldberger, Hayit Greenspan:
Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI. Int. J. Biomed. Imaging 2016: 7952541:1-7952541:13 (2016) - [j32]Idit Diamant, Assaf Hoogi, Christopher F. Beaulieu, Mustafa Safdari, Eyal Klang, Michal Amitai, Hayit Greenspan, Daniel L. Rubin:
Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions. IEEE J. Biomed. Health Informatics 20(6): 1585-1594 (2016) - [j31]Alan Joseph Bekker, Moran Shalhon, Hayit Greenspan, Jacob Goldberger:
Multi-View Probabilistic Classification of Breast Microcalcifications. IEEE Trans. Medical Imaging 35(2): 645-653 (2016) - [j30]Hayit Greenspan, Bram van Ginneken, Ronald M. Summers:
Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique. IEEE Trans. Medical Imaging 35(5): 1153-1159 (2016) - [c82]Hayit Greenspan:
Deep Learning in Medical Applications. BIOSTEC 2016: 5 - [c81]Alan Joseph Bekker, Hayit Greenspan, Jacob Goldberger:
A multi-view deep learning architecture for classification of breast microcalcifications. ISBI 2016: 726-730 - [c80]Avi Ben-Cohen, Eyal Klang, Michal Amitai, Hayit Greenspan:
Sparsity-based liver metastases detection using learned dictionaries. ISBI 2016: 1195-1198 - [c79]Ofer Geva, Sivan Lieberman, Eli Konen, Hayit Greenspan:
Localized Fisher vector representation for pathology detection in chest radiographs. Medical Imaging: Computer-Aided Diagnosis 2016: 97850D - [c78]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: 978510 - [c77]Ariel Birenbaum, Hayit Greenspan:
Longitudinal Multiple Sclerosis Lesion Segmentation Using Multi-view Convolutional Neural Networks. LABELS/DLMIA@MICCAI 2016: 58-67 - [c76]Avi Ben-Cohen, Idit Diamant, Eyal Klang, Michal Amitai, Hayit Greenspan:
Fully Convolutional Network for Liver Segmentation and Lesions Detection. LABELS/DLMIA@MICCAI 2016: 77-85 - [c75]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: 97840A - [c74]Idit Diamant, Moran Shalhon, Jacob Goldberger, Hayit Greenspan:
Mutual information criterion for feature selection with application to classification of breast microcalcifications. Medical Imaging: Image Processing 2016: 97841S - 2015
- [c73]Anat Shkolyar, Amit Gefen, Dafna Benayahu, Hayit Greenspan:
Automatic detection of cell divisions (mitosis) in live-imaging microscopy images using Convolutional Neural Networks. EMBC 2015: 743-746 - [c72]Yaron Anavi, Ilya Kogan, Elad Gelbart, Ofer Geva, Hayit Greenspan:
A comparative study for chest radiograph image retrieval using binary texture and deep learning classification. EMBC 2015: 2940-2943 - [c71]Alan Joseph Bekker, Moran Shalhon, Hayit Greenspan, Jacob Goldberger:
Learning to combine decisions from multiple mammography views. ISBI 2015: 97-100 - [c70]Yaniv Bar, Idit Diamant, Lior Wolf, Sivan Lieberman, Eli Konen, Hayit Greenspan:
Chest pathology detection using deep learning with non-medical training. ISBI 2015: 294-297 - [c69]Idit Diamant, Jacob Goldberger, Eyal Klang, Michal Amitai, Hayit Greenspan:
Multi-phase liver lesions classification using relevant visual words based on mutual information. ISBI 2015: 407-410 - [c68]Yaniv Bar, Idit Diamant, Lior Wolf, Hayit Greenspan:
Deep learning with non-medical training used for chest pathology identification. Medical Imaging: Computer-Aided Diagnosis 2015: 94140V - [c67]Ofer Geva, Gali Zimmerman-Moreno, Sivan Lieberman, Eli Konen, Hayit Greenspan:
Pneumothorax detection in chest radiographs using local and global texture signatures. Medical Imaging: Computer-Aided Diagnosis 2015: 94141P - [c66]Roey Mechrez, Jacob Goldberger, Hayit Greenspan:
MS lesion segmentation using a multi-channel patch-based approach with spatial consistency. Medical Imaging: Image Processing 2015: 94130O - 2014
- [c65]Marina Asherov, Idit Diamant, Hayit Greenspan:
Lung texture classification using bag of visual words. Medical Imaging: Computer-Aided Diagnosis 2014: 90352K - [c64]Yeela Doron, Nitzan Mayer-Wolf, Idit Diamant, Hayit Greenspan:
Texture feature based liver lesion classification. Medical Imaging: Computer-Aided Diagnosis 2014: 90353K - [c63]Avi Ben-Cohen, Idit Diamant, Eyal Klang, Michal Amitai, Hayit Greenspan:
Automatic detection and segmentation of liver metastatic lesions on serial CT examinations. Medical Imaging: Computer-Aided Diagnosis 2014: 903519 - 2013
- [c62]Mustafa Safdari, Raghav Pasari, Daniel L. Rubin, Hayit Greenspan:
Image patch-based method for automated classification and detection of focal liver lesions on CT. Medical Imaging: Computer-Aided Diagnosis 2013: 86700Y - [c61]Idit Diamant, Jacob Goldberger, Hayit Greenspan:
Visual words based approach for tissue classification in mammograms. Medical Imaging: Computer-Aided Diagnosis 2013: 867021 - [c60]Gali Zimmerman-Moreno, Dafna Ben-Bashat, Moran Artzi, Beatrice Nefussy, Vivian Drory, Orna Aizenstein, Hayit Greenspan:
Fiber Based Comparison of Whole Brain Tractographies with Application to Amyotrophic Lateral Sclerosis. CDMRI/MMBC@MICCAI 2013: 175-185 - [e2]Hayit Greenspan, Henning Müller, Tanveer Fathima Syeda-Mahmood:
Medical Content-Based Retrieval for Clinical Decision Support - Third MICCAI International Workshop, MCBR-CDS 2012, Nice, France, October 1, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7723, Springer 2013, ISBN 978-3-642-36677-2 [contents] - 2012
- [c59]Henning Müller, Hayit Greenspan:
Overview of the Third Workshop on Medical Content-Based Retrieval for Clinical Decision Support (MCBR-CDS 2012). MCBR-CDS 2012: 1-9 - [e1]Henning Müller, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood:
Medical Content-Based Retrieval for Clinical Decision Support - Second MICCAI International Workshop, MCBR-CDS 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7075, Springer 2012, ISBN 978-3-642-28459-5 [contents] - 2011
- [j29]Ceyhun Burak Akgül, Daniel L. Rubin, Sandy Napel, Christopher F. Beaulieu, Hayit Greenspan, Burak Acar:
Content-Based Image Retrieval in Radiology: Current Status and Future Directions. J. Digit. Imaging 24(2): 208-222 (2011) - [j28]Arnaldo Mayer, Gali Zimmerman-Moreno, Ran Shadmi, Amit Batikoff, Hayit Greenspan:
A Supervised Framework for the Registration and Segmentation of White Matter Fiber Tracts. IEEE Trans. Medical Imaging 30(1): 131-145 (2011) - [j27]Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharon, Jacob Goldberger:
X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words. IEEE Trans. Medical Imaging 30(3): 733-746 (2011) - [c58]Fei Wang, Yong Zhang, David Beymer, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood:
Pyramid Histograms of Motion Context with Application to Angiogram Video Classification. FIMH 2011: 384-391 - [c57]Fei Wang, Yong Zhang, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood, David Beymer:
Automatic classification of images of an angiography sequence using modified shape context-based spatial pyramid kernels. ISBI 2011: 1091-1096 - [c56]Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharon, Jacob Goldberger:
System for pathology categorization and retrieval in chest radiographs. Medical Imaging: Computer-Aided Diagnosis 2011: 79630M - [c55]Adrien Depeursinge, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood, Henning Müller:
Overview of the Second Workshop on Medical Content-Based Retrieval for Clinical Decision Support. MCBR-CDS 2011: 1-11 - [c54]Uri Avni, Hayit Greenspan, Jacob Goldberger:
X-ray Categorization and Spatial Localization of Chest Pathologies. MICCAI (3) 2011: 199-206 - 2010
- [j26]Shiri Gordon, Hayit Greenspan:
An agglomerative segmentation framework for non-convex regions within uterine cervix images. Image Vis. Comput. 28(12): 1682-1701 (2010) - [j25]Orly Zvitia, Arnaldo Mayer, Ran Shadmi, Shmuel Miron, Hayit Greenspan:
Co-registration of White Matter Tractographies by Adaptive-Mean-Shift and Gaussian Mixture Modeling. IEEE Trans. Medical Imaging 29(1): 132-145 (2010) - [j24]Amir Alush, Hayit Greenspan, Jacob Goldberger:
Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images. IEEE Trans. Medical Imaging 29(2): 488-501 (2010) - [c53]Tanveer Fathima Syeda-Mahmood, Pavan K. Turaga, David Beymer, Fei Wang, Arnon Amir, Hayit Greenspan, Kilian M. Pohl:
Shape-based similarity retrieval of Doppler images for clinical decision support. CVPR 2010: 855-862 - [c52]Ran Shadmi, Arnaldo Mayer, Nir A. Sochen, Hayit Greenspan:
Piecewise smooth affine registration of point-sets with application to DT-MRI brain fiber-data. ISBI 2010: 528-531 - [c51]Arnon Amir, David Beymer, Julia Grace, Hayit Greenspan, Daniel Gruhl, Allen Hobbs, Kilian M. Pohl, Tanveer F. Syeda-Mahmood, Joseph Terdiman, Fei Wang:
AALIM: A Cardiac Clinical Decision Support System Powered By Advanced Multi-modal Analytics. MedInfo 2010: 846-850 - [c50]Uri Avni, Jacob Goldberger, Michal Sharon, Eli Konen, Hayit Greenspan:
Chest x-ray characterization: from organ identification to pathology categorization. Multimedia Information Retrieval 2010: 155-164 - [p1]Uri Avni, Jacob Goldberger, Hayit Greenspan:
Medical Image Classification at Tel Aviv and Bar Ilan Universities. ImageCLEF 2010: 435-451
2000 – 2009
- 2009
- [j23]Hayit Greenspan:
Super-Resolution in Medical Imaging. Comput. J. 52(1): 43-63 (2009) - [j22]Shiri Gordon, Shelly Lotenberg, L. Rodney Long, Sameer K. Antani, Jose Jeronimo, Hayit Greenspan:
Evaluation of uterine cervix segmentations using ground truth from multiple experts. Comput. Medical Imaging Graph. 33(3): 205-216 (2009) - [j21]Oren Freifeld, Hayit Greenspan, Jacob Goldberger:
Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution. Int. J. Biomed. Imaging 2009: 715124:1-715124:13 (2009) - [j20]Hayit Greenspan:
Revisiting the Feature and Content Gap for Landmark- Based and Image-to-Image Retrieval in Medical CBIR. Int. J. Heal. Inf. Syst. Informatics 4(1): 68-87 (2009) - [j19]Shelly Lotenberg, Shiri Gordon, Hayit Greenspan:
Shape Priors for Segmentation of the Cervix Region Within Uterine Cervix Images. J. Digit. Imaging 22(3): 286-296 (2009) - [j18]Hayit Greenspan, Shiri Gordon, Gali Zimmerman, Shelly Lotenberg, Jose Jeronimo, Sameer K. Antani, L. Rodney Long:
Automatic Detection of Anatomical Landmarks in Uterine Cervix Images. IEEE Trans. Medical Imaging 28(3): 454-468 (2009) - [j17]Arnaldo Mayer, Hayit Greenspan:
An Adaptive Mean-Shift Framework for MRI Brain Segmentation. IEEE Trans. Medical Imaging 28(8): 1238-1250 (2009) - [c49]Uri Avni, Hayit Greenspan, Jacob Goldberger:
Dense Simple Features for Fast and Accurate Medical X-Ray Annotation. CLEF (2) 2009: 239-246 - [c48]Uri Avni, Jacob Goldberger, Hayit Greenspan:
Addressing the ImageClef 2009 Challenge Using a Patch-based Visual Words Representation. CLEF (Working Notes) 2009 - [c47]Avraham Ben-Ezra, Hayit Greenspan, Yossi Rubner:
Regularized Super-Resolution of Brain MRI. ISBI 2009: 254-257 - [c46]Uri Avni, Hayit Greenspan, Michal Sharon, Eli Konen, Jacob Goldberger:
X-Ray Image Categorization and Retrieval Using Patch-Based Visual Words Representation. ISBI 2009: 350-353 - [c45]Amir Alush, Hayit Greenspan, Jacob Goldberger:
Lesion Detection and Segmentation in Uterine Cervix Images Using an Arc-Level MRF. ISBI 2009: 474-477 - 2008
- [j16]Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss:
Simplifying Mixture Models Using the Unscented Transform. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1496-1502 (2008) - [c44]Uri Avni, Jacob Goldberger, Hayit Greenspan:
TAU MIPLAB at ImageClef 2008. CLEF (Working Notes) 2008 - [c43]Gali Zimmerman-Moreno, Arnaldo Mayer, Hayit Greenspan:
Classification trees for fast segmentation of DTI brain fiber tracts. CVPR Workshops 2008: 1-7 - [c42]Orly Zvitia, Arnaldo Mayer, Hayit Greenspan:
Adaptive mean-shift registration of white matter tractographies. ISBI 2008: 692-695 - [c41]Arnaldo Mayer, Hayit Greenspan:
Bundles of interest based registration of White Matter tractographies. ISBI 2008: 919-922 - [c40]Shelly Lotenberg, Shiri Gordon, Hayit Greenspan:
Shape priors for segmentation of the cervix region within uterine cervix images. Medical Imaging: Image Processing 2008: 69141N - [c39]Orly Zvitia, Arnaldo Mayer, Hayit Greenspan:
White matter tractographies registration using Gaussian mixture modeling. Medical Imaging: Image Processing 2008: 69142G - 2007
- [j15]Hayit Greenspan, Adi Pinhas:
Medical Image Categorization and Retrieval for PACS Using the GMM-KL Framework. IEEE Trans. Inf. Technol. Biomed. 11(2): 190-202 (2007) - [c38]Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss:
An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification. CVPR 2007 - [c37]Omer Rotem, Hayit Greenspan, Jacob Goldberger:
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework. CVPR 2007 - [c36]Sigal Trattner, Micha Feigin, Hayit Greenspan, Nir A. Sochen:
Can Born Approximate the Unborn? A New Validity Criterion for the Born Approximation in Microscopic Imaging. ICCV 2007: 1-8 - [c35]Shiri Gordon, Hayit Greenspan:
Segmentation of Non-convex Regions within Uterine Cervix Images. ISBI 2007: 312-315 - [c34]Oren Freifeld, Hayit Greenspan, Jacob Goldberger:
Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours. ISBI 2007: 596-599 - [c33]Michael Berezansky, Hayit Greenspan, Daniel Cohen-Or, Osnat Eitan:
Segmentation and tracking of human sperm cells using spatio- temporal representation and clustering. Medical Imaging: Image Processing 2007: 65122M - [c32]Yulian Wolff, Shmuel Miron, Anat Achiron, Hayit Greenspan:
Improved CSF classification and lesion detection in MR brain images with multiple sclerosis. Medical Imaging: Image Processing 2007: 65122P - 2006
- [j14]Jacob Goldberger, Hayit Greenspan:
Context-Based Segmentation of Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 463-468 (2006) - [j13]Jacob Goldberger, Shiri Gordon, Hayit Greenspan:
Unsupervised image-set clustering using an information theoretic framework. IEEE Trans. Image Process. 15(2): 449-458 (2006) - [j12]Hayit Greenspan, Amit Ruf, Jacob Goldberger:
Constrained Gaussian mixture model framework for automatic segmentation of MR brain images. IEEE Trans. Medical Imaging 25(9): 1233-1245 (2006) - [c31]Hila Dvir, Shiri Gordon, Hayit Greenspan:
Illumination Correction for Content Analysis in Uterine Cervix Images. CVPR Workshops 2006: 95 - [c30]Arnaldo Mayer, Hayit Greenspan:
Segmentation of brain MRI by adaptive mean shift. ISBI 2006: 319-322 - [c29]Gali Zimmerman, Shiri Gordon, Hayit Greenspan:
Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system. ISBI 2006: 1348-1351 - [c28]Shiri Gordon, Gali Zimmerman, L. Rodney Long, Sameer K. Antani, Jose Jeronimo, Hayit Greenspan:
Content analysis of uterine cervix images: initial steps toward content based indexing and retrieval of cervigrams. Medical Imaging: Image Processing 2006: 61444U - [c27]Gali Zimmerman-Moreno, Hayit Greenspan:
Automatic detection of specular reflections in uterine cervix images. Medical Imaging: Image Processing 2006: 61446E - 2005
- [c26]Amit Ruf, Hayit Greenspan, Jacob Goldberger:
Tissue Classification of Noisy MR Brain Images Using Constrained GMM. MICCAI (2) 2005: 790-797 - 2004
- [j11]Hayit Greenspan, Guy Dvir, Yossi Rubner:
Context-dependent segmentation and matching in image databases. Comput. Vis. Image Underst. 93(1): 86-109 (2004) - [j10]Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer:
Probabilistic Space-Time Video Modeling via Piecewise GMM. IEEE Trans. Pattern Anal. Mach. Intell. 26(3): 384-396 (2004) - [j9]Sigal Trattner, Hayit Greenspan, Gabi Tepper, Shimon Abboud:
Automatic identification of bacterial types using statistical imaging methods. IEEE Trans. Medical Imaging 23(7): 807-820 (2004) - [c25]Shiri Gordon, Gali Zimmerman, Hayit Greenspan:
Image Segmentation of Uterine Cervix Images for Indexing in PACS. CBMS 2004: 298-303 - [c24]Allon Shahar, Hayit Greenspan:
Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions. ECCV Workshops CVAMIA and MMBIA 2004: 269-280 - [c23]Sigal Trattner, Hayit Greenspan, Gabi Tepper, Shimon Abboud:
Statistical Imaging for Modeling and Identification of Bacterial Types. ECCV Workshops CVAMIA and MMBIA 2004: 329-340 - [c22]Allon Shahar, Hayit Greenspan:
A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions. ISBI 2004: 440-443 - [c21]Oron Shechner, Hayit Greenspan, Mickey Sheinovitz, Micha Feinberg:
Image Analysis of Doppler Echocardiography for Patients with Atrial Fibrillation. ISBI 2004: 488-491 - 2003
- [c20]Shiri Gordon, Hayit Greenspan, Jacob Goldberger:
Applying the Information Bottleneck Principle to Unsupervised Clustering of Discrete and Continuous Image Representations. ICCV 2003: 370-377 - [c19]Jacob Goldberger, Shiri Gordon, Hayit Greenspan:
An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures. ICCV 2003: 487-493 - [c18]Hayit Greenspan, Arnaldo Mayer, Allon Shahar:
A probabilistic framework for the spatio-temporal segmentation of multiple sclerosis lesions in MR images of the brain. Medical Imaging: Image Processing 2003 - [c17]Sigal Trattner, Hayit Greenspan, Gabi Tepper, Shimon Abboud:
Automatic identification of bacterial types using statistical imaging methods. Medical Imaging: Image Processing 2003 - 2002
- [j8]Chad Carson, Serge J. Belongie, Hayit Greenspan, Jitendra Malik:
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying. IEEE Trans. Pattern Anal. Mach. Intell. 24(8): 1026-1038 (2002) - [c16]Jacob Goldberger, Hayit Greenspan, Shiri Gordon:
Unsupervised Image Clustering Using the Information Bottleneck Method. DAGM-Symposium 2002: 158-165 - [c15]Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer:
A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing. ECCV (4) 2002: 461-475 - [c14]Guy Dvir, Hayit Greenspan, Yossi Rubner:
Context-Based Image Modelling. ICPR (4) 2002: 162-165 - [c13]Hayit Greenspan, Shiri Gordon, Jacob Goldberger:
Probabilistic Models for Generating, Modelling and Matching Image Categories. ICPR (3) 2002: 970-973 - [c12]Hayit Greenspan, Gal Oz, Nahum Kiryati, Sharon Peled:
Super-resolution in MRI. ISBI 2002: 943-946 - 2001
- [j7]Hayit Greenspan, Jacob Goldberger, Lenny Ridel:
A Continuous Probabilistic Framework for Image Matching. Comput. Vis. Image Underst. 84(3): 384-406 (2001) - [j6]Hayit Greenspan, Jacob Goldberger, Itay Eshet:
Mixture model for face-color modeling and segmentation. Pattern Recognit. Lett. 22(14): 1525-1536 (2001) - [j5]Hayit Greenspan, Moshe Laifenfeld, Shmuel Einav, Ofer Barnea:
Evaluation of Center-line Extraction Algorithms in Quantitative Coronary Angiography. IEEE Trans. Medical Imaging 20(9): 928-941 (2001) - [c11]Hayit Greenspan, Sharon Peled, Gal Oz, Nahum Kiryati:
MRI Inter-slice Reconstruction Using Super-Resolution. MICCAI 2001: 1204-1206 - 2000
- [j4]Hayit Greenspan, Charles H. Anderson, Sofia Akber:
Image enhancement by nonlinear extrapolation in frequency space. IEEE Trans. Image Process. 9(6): 1035-1048 (2000)
1990 – 1999
- 1998
- [c10]Serge J. Belongie, Chad Carson, Hayit Greenspan, Jitendra Malik:
Color- and Texture-based Image Segmentation Using the Expectation-Maximization Algorithm and its Application to Content-Based Image Retrieval. ICCV 1998: 675-682 - 1996
- [c9]David A. Forsyth, Jitendra Malik, Thomas K. Leung, Christoph Bregler, Chad Carson, Hayit Greenspan, Margaret M. Fleck:
Finding Pictures of Objects in Large Collections of Images. Data Processing Clinic 1996 - [c8]David A. Forsyth, Jitendra Malik, Margaret M. Fleck, Hayit Greenspan, Thomas K. Leung, Serge J. Belongie, Chad Carson, Christoph Bregler:
Finding Pictures of Objects in Large Collections of Images. Object Representation in Computer Vision 1996: 335-360 - [c7]Jitendra Malik, David A. Forsyth, Margaret M. Fleck, Hayit Greenspan, Thomas K. Leung, Chad Carson, Serge J. Belongie, Christoph Bregler:
Finding objects in image databases by grouping. ICIP (2) 1996: 761-764 - 1995
- [c6]Hayit Greenspan, Sofia Akber:
Nonlinear edge enhancement. ICIP 1995: 179-182 - 1994
- [j3]Hayit Greenspan, Rodney M. Goodman, Rama Chellappa, Charles H. Anderson:
Learning Texture Discrimination Rules in a Multiresolution System. IEEE Trans. Pattern Anal. Mach. Intell. 16(9): 894-901 (1994) - [c5]Hayit Greenspan, Serge J. Belongie, Rodney M. Goodman, Pietro Perona, Subrata Rakshit, Charles H. Anderson:
Overcomplete steerable pyramid filters and rotation invariance. CVPR 1994: 222-228 - [c4]Hayit Greenspan, Serge J. Belongie, Rodney M. Goodman, Pietro Perona:
Rotation invariant texture recognition using a steerable pyramid. ICPR (2) 1994: 162-167 - 1993
- [c3]Hayit Greenspan:
Learning in Computer Vision and Image Understanding. NIPS 1993: 1182-1183 - 1992
- [j2]Hayit Greenspan, Moshe Porat, Yehoshua Y. Zeevi:
Projection-Based Approach to Image Analysis: Pattern Recognition and Representation in the Position-Orientation Space. IEEE Trans. Pattern Anal. Mach. Intell. 14(11): 1105-1110 (1992) - [c2]Hayit Greenspan, Rodney M. Goodman:
Remote Sensing Image Analysis via a Texture Classification Neural Network. NIPS 1992: 425-432 - 1991
- [c1]Hayit Greenspan, Rodney M. Goodman, Rama Chellappa:
Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery. NIPS 1991: 444-451
1980 – 1989
- 1988
- [j1]Hayit Greenspan, M. Fleisher, Moshe Porat, Yehoshua Y. Zeevi:
Glass pattern recognition with neural-networks. Neural Networks 1(Supplement-1): 499-505 (1988)
Coauthor Index
Michal Amitai
aka: Michal Marianne Amitai
aka: Michal Marianne Amitai
[j51] [c127] [c126] [c124] [c123] [c121] [c120] [c118] [c111] [j43] [c107] [c100] [c99] [c95] [i15] [i11] [j37] [c93] [c92] [c91] [i10] [i9] [i7] [i6] [j34] [c84] [i2] [j33] [j31] [c81] [c74] [c71] [c69] [c66] [c61] [j27] [c56] [c54] [j24] [c50] [p1] [j21] [c49] [c48] [c46] [c45] [j16] [c44] [c38] [c37] [c34] [j14] [j13] [j12] [c26] [j10] [c20] [c19] [c16] [c15] [c13] [j7] [j6]
Tim Salcudean
aka: Septimiu E. Salcudean
aka: Septimiu E. Salcudean
Tanveer F. Syeda-Mahmood
aka: Tanveer Fathima Syeda-Mahmood
aka: Tanveer Fathima Syeda-Mahmood
Gali Zimmerman-Moreno
aka: Gali Zimmerman
aka: Gali Zimmerman
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last updated on 2024-10-07 21:15 CEST by the dblp team
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