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Hayit Greenspan

PhD

 https://orcid.org/0000-0001-6908-7552
Calculated based on number of publications stored in Pure and citations from Scopus
1988 …2023

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  • 2022

    Adaptation of a Multi-Site Network to a New Clinical Site Via Batch-Normalization Similarity

    Kasten Serlin, S., Goldberger, J. & Greenspan, H., 2022, ISBI 2022 - Proceedings: 2022 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging; vol. 2022-March).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    2 Scopus citations

  • Class-Based Attention Mechanism for Chest Radiograph Multi-Label Categorization

    Sriker, D., Greenspan, H. & Goldberger, J., 2022, ISBI 2022 - Proceedings: 2022 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging; vol. 2022-March).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Deep learning based multiple sclerosis lesion detection utilizing synthetic data generation and soft attention mechanism

    Shmueli, O. Z., Solomon, C., Ben-Eliezer, N. & Greenspan, H., 2022, Medical Imaging 2022: Computer-Aided Diagnosis. Drukker, K. & Iftekharuddin, K. M. (eds.). SPIE, 120330R. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12033).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Supervised Domain Adaptation Using Gradients Transfer for Improved Medical Image Analysis

    Goodman, S., Greenspan, H. & Goldberger, J., 2022, Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Proceedings. Kamnitsas, K., Koch, L., Islam, M., Xu, Z., Cardoso, J., Dou, Q., Rieke, N. & Tsaftaris, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 23-32 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13542 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Unsupervised Site Adaptation by Intra-site Variability Alignment

    Goodman, S., Kasten Serlin, S., Greenspan, H. & Goldberger, J., 2022, Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Proceedings. Kamnitsas, K., Koch, L., Islam, M., Xu, Z., Cardoso, J., Dou, Q., Rieke, N. & Tsaftaris, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 56-65 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13542 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Weakly Supervised Brain Tumor Segmentation via Semantic Affinity Deep Neural Network

    Yerachmiel, M. & Greenspan, H., 2022, Medical Imaging 2022: Image Processing. Colliot, O., Isgum, I., Landman, B. A. & Loew, M. H. (eds.). SPIE, 120323B. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 12032).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Weakly Supervised Multimodal 30-Day All-Cause Mortality Prediction for Pulmonary Embolism Patients

    Cahan, N., Marom, E. M., Soffer, S., Barash, Y., Konen, E., Klang, E. & Greenspan, H., 2022, ISBI 2022 - Proceedings: 2022 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging; vol. 2022-March).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations
  • 2021

    Automated triage of covid-19 from various lung abnormalities using chest ct features

    Amran, D., Frid-Adar, M., Sagie, N., Nassar, J., Kabakovitch, A. & Greenspan, H., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 155-159 5 p. 9433803. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access

  • COVID-19 opacity segmentation in chest CT via HydraNet: A joint learning multi-decoder network

    Sagie, N., Almog, S., Talby, A. & Greenspan, H., 2021, Medical Imaging 2021: Computer-Aided Diagnosis. Mazurowski, M. A. & Drukker, K. (eds.). SPIE, 115971U. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11597).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    2 Scopus citations

  • Deep learning analysis on raw image data: Case study on holographic cell analysis

    Gozes, G., Ben Baruch, S., Rotman-Nativ, N., Roitshtain, D., Shaked, N. T. & Greenspan, H., 2021, Medical Imaging 2021: Computer-Aided Diagnosis. Mazurowski, M. A. & Drukker, K. (eds.). SPIE, 1159723. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11597).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

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

    Gozes, G., Shkolyar, A., Gefen, A., Benayahu, D. & Greenspan, H., 2021, Medical Imaging 2021: Digital Pathology. Tomaszewski, J. E. & Ward, A. D. (eds.). SPIE, 1160309. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11603).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Improved CycleGAN with application to COVID-19 classification

    Bar-El, A., Cohen, D., Cahan, N. & Greenspan, H., 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE, 1159614. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11596).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    4 Scopus citations

  • Improved segmentation by adversarial U-Net

    Sriker, D., Cohen, D., Cahan, N. & Greenspan, H., 2021, Medical Imaging 2021: Computer-Aided Diagnosis. Mazurowski, M. A. & Drukker, K. (eds.). SPIE, 1159719. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11597).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Learning rotation invariant features for cryogenic electron microscopy image reconstruction

    Bibas, K., Weiss-DIcker, G., Cohen, D., Cahan, N. & Greenspan, H., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 563-566 4 p. 9433789. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    2 Scopus citations

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

    Cahan, N., Marom, E. M., Soffer, S., Barash, Y., Konen, E., Klang, E. & Greenspan, H., 2021, Medical Imaging 2021: Computer-Aided Diagnosis. Mazurowski, M. A. & Drukker, K. (eds.). SPIE, 115971P. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11597).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Style encoding for class-specific image generation

    Cohen Hochberg, D., Giryes, R. & Greenspan, H., 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE, 1159631. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11596).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations

  • Transfer Learning via Parameter Regularization for Medical Image Segmentation

    Sagie, N., Greenspan, H. & Goldberger, J., 2021, 29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings. European Signal Processing Conference, EUSIPCO, p. 985-989 5 p. (European Signal Processing Conference; vol. 2021-August).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Transfer Learning with a Layer Dependent Regularization for Medical Image Segmentation

    Sagie, N., Greenspan, H. & Goldberger, J., 2021, Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Lian, C., Cao, X., Rekik, I., Xu, X. & Yan, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 161-170 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12966 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2020

    A Weakly Supervised Deep Learning Framework for COVID-19 CT Detection and Analysis

    Gozes, O., Frid-Adar, M., Sagie, N., Kabakovitch, A., Amran, D., Amer, R. & Greenspan, H., 2020, Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Proceedings. Petersen, J., San José Estépar, R., Schmidt-Richberg, A., Gerard, S., Lassen-Schmidt, B., Jacobs, C., Beichel, R. & Mori, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 84-93 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12502 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    7 Scopus citations

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

    Gozes, O. & Greenspan, H., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 858-861 4 p. 9098738. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    4 Scopus citations

  • Learning Probabilistic Fusion of Multilabel Lesion Contours

    Cohen, G., Greenspan, H. & Goldberger, J., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 767-771 5 p. 9098540. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    2 Scopus citations

  • Nodule2vec: A 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation

    Kravets, I., Heletz, T. & Greenspan, H., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 599-608 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12266 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2019

    A mixture of views network with applications to the classification of breast microcalcifications

    Shachor, Y., Greenspan, H. & Goldberger, J., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1065-1069 5 p. 8759433. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    2 Scopus citations

  • A Soft STAPLE Algorithm Combined with Anatomical Knowledge

    Kats, E., Goldberger, J. & Greenspan, H., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 510-517 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    10 Scopus citations

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

    Baram, A., Greenspan, H. & Freidman, Z., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 272-280 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11768 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

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

    Amer, R., Nassar, J., Bendahan, D., Greenspan, H. & Ben-Eliezer, N., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 219-227 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11765 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    11 Scopus citations

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

    Gozes, O. & Greenspan, H., Jul 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., p. 4076-4079 4 p. 8856729. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    15 Scopus citations

  • Endotracheal Tube Detection and Segmentation in Chest Radiographs Using Synthetic Data

    Frid-Adar, M., Amer, R. & Greenspan, H., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 784-792 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11769 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    16 Scopus citations

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

    Heker, M., Ben-Cohen, A. & Greenspan, H., Jul 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., p. 895-898 4 p. 8857127. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    2 Scopus citations

  • Improving CNN Training using Disentanglement for Liver Lesion Classification in CT

    Ben-Cohen, A., Mechrez, R., Yedidia, N. & Greenspan, H., Jul 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., p. 886-889 4 p. 8857465. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    14 Scopus citations

  • Lung nodule retrieval using semantic similarity estimates

    Loyman, M. & Greenspan, H., 2019, Medical Imaging 2019: Computer-Aided Diagnosis. Mori, K. & Hahn, H. K. (eds.). SPIE, 109503P. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10950).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations

  • Soft labeling by distilling anatomical knowledge for improved ms lesion segmentation

    Kats, E., Goldberger, J. & Greenspan, H., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1563-1566 4 p. 8759518. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    15 Scopus citations
  • 2018

    Anatomical data augmentation for CNN based pixel-wise classification

    Ben-Cohen, A., Klang, E., Amitai, M. M., Goldberger, J. & Greenspan, H., 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 1096-1099 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    9 Scopus citations

  • Automatic liver volume segmentation and fibrosis classification

    Bal, E., Klang, E., Amitai, M. & Greenspan, H., 2018, Medical Imaging 2018: Computer-Aided Diagnosis. Mori, K. & Petrick, N. (eds.). SPIE, 1057506. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10575).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    6 Scopus citations

  • Improving the segmentation of anatomical structures in chest radiographs using U-net with an imagenet pre-trained encoder

    Frid-Adar, M., Ben-Cohen, A., Amer, R. & Greenspan, H., 2018, Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Proceedings. Snead, D., Trucco, E., Stoyanov, D., Taylor, Z., Maier-Hein, L., Rajpoot, N., Bogunovic, H., Ciompi, F., Veta, M., Garvin, M. K., Chen, X. J., Martel, A., van der Laak, J., Xu, Y. & McKenna, S. (eds.). Springer Verlag, p. 159-168 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11040 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    32 Scopus citations

  • Left atria reconstruction from a series of sparse catheter paths using neural networks

    Baram, A., Safran, M., Ben-Cohen, A. & Greenspan, H., 2018, Machine Learning for Medical Image Reconstruction - First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Proceedings. Knoll, F., Maier, A. & Rueckert, D. (eds.). Springer Verlag, p. 138-146 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11074 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Lung structures enhancement in chest radiographs via CT based FCNN training

    Gozes, O. & Greenspan, H., 2018, Image Analysis for Moving Organ, Breast, and Thoracic Images - Third International Workshop, RAMBO 2018, Fourth International Workshop, BIA 2018, and First International Workshop, TIA 2018, Held in Conjunction with MICCAI 2018, Proceedings. Snead, D., Trucco, E., Stoyanov, D., Taylor, Z., Maier-Hein, L., Rajpoot, N., Bogunovic, H., Ciompi, F., Veta, M., Garvin, M. K., Chen, X. J., Martel, A., van der Laak, J., Xu, Y. & McKenna, S. (eds.). Springer Verlag, p. 147-158 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11040 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    11 Scopus citations

  • Pneumothorax detection in chest radiographs using convolutional neural networks

    Blumenfeld, A., Konen, E. & Greenspan, H., 2018, Medical Imaging 2018: Computer-Aided Diagnosis. Mori, K. & Petrick, N. (eds.). SPIE, 1057504. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10575).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    8 Scopus citations

  • Synthetic data augmentation using GAN for improved liver lesion classification

    Frid-Adar, M., Klang, E., Amitai, M., Goldberger, J. & Greenspan, H., 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 289-293 5 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    401 Scopus citations

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

    Dgani, Y., Greenspan, H. & Goldberger, J., 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, p. 39-42 4 p. (Proceedings - International Symposium on Biomedical Imaging; vol. 2018-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    39 Scopus citations
  • 2017

    Automated supervised segmentation of anatomical fiber tracts using an AdaBoost framework

    Heker, M., Amer, R., Alexandroni, G. & Greenspan, H., 4 Jan 2017, 2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016. Institute of Electrical and Electronics Engineers Inc., 7806057. (2016 IEEE International Conference on the Science of Electrical Engineering, ICSEE 2016).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Modeling the intra-class variability for liver lesion detection using a multi-class patch-based CNN

    Frid-Adar, M., Diamant, I., Klang, E., Amitai, M., Goldberger, J. & Greenspan, H., 2017, Patch-Based Techniques in Medical Imaging - 3rd International Workshop, Patch-MI 2017 Held in Conjunction with MICCAI 2017, Proceedings. Zhan, Y., Bai, W., Wu, G., Coupe, P., Munsell, B. C. & Sanroma, G. (eds.). Springer Verlag, p. 129-137 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10530 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    22 Scopus citations

  • Sparse representation for white matter fiber compression and calculation of inter-fiber similarity

    Moreno, G. Z., Alexandroni, G., Sochen, N. & Greenspan, H., 2017, Computational Diffusion MRI - MICCAI Workshop. Fuster, A., Rathi, Y., Reisert, M., Kaden, E. & Ghosh, A. (eds.). Springer Heidelberg, p. 133-143 11 p. (Mathematics and Visualization).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations

  • Virtual PET images from CT data using deep convolutional networks: Initial results

    Ben-Cohen, A., Klang, E., Raskin, S. P., Amitai, M. M. & Greenspan, H., 2017, Simulation and Synthesis in Medical Imaging - 2nd International Workshop, SASHIMI 2017, Held in Conjunction with MICCAI 2017, Proceedings. Gooya, A., Frangi, A. F., Tsaftaris, S. A. & Prince, J. L. (eds.). Springer Verlag, p. 49-57 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10557 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    59 Scopus citations

  • White matter fiber representation using continuous dictionary learning

    Alexandroni, G., Podolsky, Y., Greenspan, H., Remez, T., Litany, O., Bronstein, A. & Giryes, R., 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Descoteaux, M., Duchesne, S., Franz, A., Jannin, P., Collins, D. L. & Maier-Hein, L. (eds.). Springer Verlag, p. 566-574 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10433 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations
  • 2016

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

    Bekker, A. J., Greenspan, H. & Goldberger, J., 15 Jun 2016, 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society, p. 726-730 5 p. 7493369. (Proceedings - International Symposium on Biomedical Imaging; vol. 2016-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    38 Scopus citations

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

    Alexandroni, G., Zimmerman Moreno, G., Sochen, N. & Greenspan, H., 2016, Medical Imaging 2016: Image Processing. Styner, M. A., Angelini, E. D. & Angelini, E. D. (eds.). SPIE, 97840A. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9784).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    3 Scopus citations

  • Fully convolutional network for liver segmentation and lesions detection

    Ben-Cohen, A., Diamant, I., Klang, E., Amitai, M. & Greenspan, H., 2016, Deep Learning and Data Labeling for Medical Applications - 1st International Workshop, LABELS 2016, and 2nd International Workshop, DLMIA 2016 Held in Conjunction with MICCAI 2016, Proceedings. Lu, Z., Belagiannis, V., Tavares, J. M. R. S., Cardoso, J. S., Bradley, A., Papa, J. P., Nascimento, J. C., Loog, M., Cornebise, J., Carneiro, G., Mateus, D. & Peter, L. (eds.). Springer Verlag, p. 77-85 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10008 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    176 Scopus citations

  • Localized Fisher vector representation for pathology detection in chest radiographs

    Geva, O., Lieberman, S., Konen, E. & Greenspan, H., 2016, Medical Imaging 2016: Computer-Aided Diagnosis. Tourassi, G. D. & Armato, S. G. (eds.). SPIE, 97850D. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9785).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Longitudinal Multiple Sclerosis lesion segmentation using multi-view convolutional neural networks

    Birenbaum, A. & Greenspan, H., 2016, Deep Learning and Data Labeling for Medical Applications - 1st International Workshop, LABELS 2016, and 2nd International Workshop, DLMIA 2016 Held in Conjunction with MICCAI 2016, Proceedings. Lu, Z., Belagiannis, V., Tavares, J. M. R. S., Cardoso, J. S., Bradley, A., Papa, J. P., Nascimento, J. C., Loog, M., Cornebise, J., Carneiro, G., Mateus, D. & Peter, L. (eds.). Springer Verlag, p. 58-67 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10008 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    57 Scopus citations