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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]