Department of Bio-Medical Engineering

Research output

Research output per year 1973 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2022

• 39854 Citations
• 85 h-index
• 1150 Article
• 331 Conference contribution
• 75 Conference article
• 64 Chapter
• 170 More
  • 49 Review article
  • 43 Editorial
  • 25 Comment/debate
  • 20 Paper
  • 12 Book
  • 10 Letter
  • 5 Short survey
  • 4 Foreword/postscript
  • 2 Meeting Abstract

Research output per year

Research output per year

Search results

• 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

  • Magnetic resonance imaging 100%
  • Statistics 71%
  • Psychological Generalization 41%
  • Information Storage and Retrieval 28%
  • Prostate 26%

• 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

  • Pathology 100%
  • Labels 74%
  • Thorax 60%
  • Masks 46%
  • Network architecture 41%

• 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

  • Deep Learning 100%
  • learning 78%
  • lesions 78%
  • Deep learning 64%
  • Multiple Sclerosis 64%

• Generating Quantum Light: New Prospects from Superradiance

  Baranes, G., Gorlach, A., Ruimy, R., Faran, M., Pizzi, A. & Kaminer, I., 2022, CLEO: QELS_Fundamental Science, QELS 2022. Optica Publishing Group (formerly OSA), FM3B.4. (Optics InfoBase Conference Papers).

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

  • Superradiance 100%
  • Radiation 35%

• Imaging and sensing in the nIR using fluorescent single-walled carbon nanotubes

  Bisker, G., 2022, Label-free Biomedical Imaging and Sensing (LBIS) 2022. Shaked, N. T. & Hayden, O. (eds.). SPIE, 119720D. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11972).

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

  • Single-walled carbon nanotubes (SWCN) 100%
  • Carbon Nanotubes 99%
  • Single Walled Nanotube 67%
  • Infrared radiation 62%
  • carbon nanotubes 62%

• Using Computational Synthetic Biology Tools to Modulate Gene Expression Within a Microbiome

  Chitayat Levi, L., Rippin, I., Ben Tulila, M., Galron, R. & Tuller, T., 2022, Comparative Genomics - 19th International Conference, RECOMB-CG 2022, Proceedings. Jin, L. & Durand, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 235-259 25 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13234 LNBI).

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

  • Synthetic Biology 100%
  • Synthetic biology 87%
  • Computational Biology 74%
  • Gene Expression 74%
  • Microorganisms 70%

• 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

  • semantics 100%
  • affinity 85%
  • Semantics 80%
  • Tumors 79%
  • Deep neural networks 75%

• 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

  • Pulmonary Embolism 100%
  • Fusion reactions 53%
  • Patient treatment 50%
  • Mortality 50%
  • Pixels 25%
• 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

  • Triage 100%
  • Tomography 86%
  • Thorax 62%
  • Lung 48%
  • Polymerase chain reaction 44%

• 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

  • Opacity 100%
  • decoders 97%
  • chest 90%
  • coders 88%
  • Computerized tomography 88%

• 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

  • Deep Learning 100%
  • learning 78%
  • Deep learning 64%
  • Cells 52%
  • Holograms 49%

• 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

  • mitosis 100%
  • Mitosis 70%
  • Convolutional neural networks 65%
  • Label 62%
  • education 52%

• 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

  • Medical imaging 100%
  • Computer aided manufacturing 97%
  • Diagnostic Imaging 91%
  • X-Ray 79%
  • X rays 79%

• 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

  • Image segmentation 100%
  • Radiotherapy 65%
  • Computer aided diagnosis 64%
  • Reaction Yield 42%
  • education 41%

• 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

  • Electron microscopy 100%
  • Computer-Assisted Image Processing 93%
  • Cryogenics 81%
  • Image reconstruction 79%
  • Cryoelectron Microscopy 70%

• Optical nanosensors in the near-infrared spectral window

  Bisker, G., 2021, CLEO: Applications and Technology, CLEO:A and T 2021. The Optical Society, AF2Q.6. (Optics InfoBase Conference Papers).

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

  • Nanosensors 100%
  • Signal transduction 93%
  • Macromolecules 87%
  • Single-walled carbon nanotubes (SWCN) 86%
  • Optical sensors 75%

• Optical Nanosensors in the Near-Infrared Spectral Window

  Bisker, G., May 2021, 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings).

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

  • Nanosensors 100%
  • Signal transduction 93%
  • Macromolecules 87%
  • Single-walled carbon nanotubes (SWCN) 86%
  • Optical sensors 75%

• Robust Model Compression Using Deep Hypotheses

  Armstrong, O. & Gilad-Bachrach, R., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 6688-6695 8 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 8A).

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

  • Neural networks 100%
  • Random forests 87%
  • Distillation 85%
  • Decision trees 80%
  • Statistics 61%

• 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

  • Angiography 100%
  • angiography 98%
  • Computed Tomography Angiography 80%
  • Embolism 60%
  • Strain 53%

• 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

  • Deep Learning 100%
  • coding 67%
  • Deep learning 64%
  • Learning algorithms 60%
  • coders 44%

• 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

  • Transfer learning 100%
  • Image segmentation 79%
  • Opacity 35%
  • Computerized tomography 34%
  • Cost functions 25%

• 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

  • Transfer Learning 100%
  • Medical Image 77%
  • Image Segmentation 72%
  • Transfer learning 63%
  • Image segmentation 50%
• 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

  • Supervised Learning 100%
  • Deep learning 62%
  • Annotation 48%
  • Feature Space 48%
  • Lung 46%

• 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

  • Bone 100%
  • X rays 93%
  • X-Rays 79%
  • Thorax 71%
  • Bone and Bones 61%

• Core/Shell Iron Oxide@Gold nanoparticles for dual-modal CT/MRI imaging

  Betzer, O., Motiei, M., Dreifuss, T., Sadan, T., Omer, N., Blumenfeld-Katzir, T., Liu, Z., Ben-Eliezer, N. & Popovtzer, R., 2020, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XVII. Fixler, D., Goldys, E. M. & Wachsmann-Hogiu, S. (eds.). SPIE, 112541F. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11254).

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

  • Gold nanoparticles 100%
  • Iron oxides 82%
  • ferric oxide 79%
  • iron oxides 68%
  • Magnetic resonance 66%

• 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

  • Fusion reactions 100%
  • Learning 91%
  • Masks 78%
  • Expert Testimony 65%
  • Multiple Sclerosis 55%

• 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

  • Nodule 100%
  • Learning Systems 87%
  • Retrieval 72%
  • Computerized tomography 70%
  • Image retrieval 59%

• Novel Driver Synonymous Mutations in the Coding Regions of GCB Lymphoma Patients Improve the Transcription Levels of BCL2

  Shami-Schnitzer, O., Zafir, Z. & Tuller, T., 2020, Mathematical and Computational Oncology - Second International Symposium, ISMCO 2020, 2020, Proceedings. Bebis, G., Alekseyev, M., Cho, H., Gevertz, J. & Rodriguez Martinez, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 108-118 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12508 LNBI).

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

  • B Cells 100%
  • Transcription 91%
  • Driver 87%
  • Mutation 67%
  • Coding 66%
• 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

  • Mammography 100%
  • Calcinosis 97%
  • Breast 59%
  • Data fusion 41%
  • Network architecture 36%

• 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

  • Mask 100%
  • Masks 74%
  • Segmentation 71%
  • Multiple Sclerosis 61%
  • Knowledge 60%

• 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

  • Catheters 100%
  • Atrial Fibrillation 92%
  • Real-time 89%
  • Ultrasound 76%
  • Ultrasonics 67%

• 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

  • Magnetic Resonance Imaging 100%
  • Muscle 90%
  • Segmentation 82%
  • Infiltration 81%
  • Oils and fats 79%

• 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

  • Deep Learning 100%
  • Pathology 82%
  • Medical imaging 82%
  • X rays 65%
  • Labels 61%

• Deep learning approaches for unwrapping phase images with steep spatial gradients: A simulation

  Dardikman, G., Turko, N. A. & Shaked, N. T., 20 Feb 2019, 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018. Institute of Electrical and Electronics Engineers Inc., 8646266. (2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018).

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

  • Inverse problems 100%
  • Remote sensing 95%
  • Medicine 92%
  • Deep learning 82%
  • Semantics 63%

• 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

  • Segmentation 100%
  • Synthetic Data 99%
  • Tube 84%
  • X rays 74%
  • Deep learning 73%

• Fiber-enhanced Raman spectroscopy as a tool for an early detection of Alzheimer's disease biomarkers

  Eravuchira, P. J., Banchelli, M., D'Andrea, C., De Angelis, M., Matteini, P. & Gannot, I., 2019, Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications XIX. Gannot, I. & Gannot, I. (eds.). SPIE, 1087211. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10872).

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

  • biomarkers 100%
  • Raman spectroscopy 99%
  • Raman Spectrum Analysis 98%
  • Biomarkers 93%
  • Biological Marker 67%

• Fiber optic middle infrared evanescent wave spectroscopy for early detection of melanoma

  Basov, S., Platkov, M., Goldberg, I., Dankner, Y., Weinstein, M., Goryachev, A., Raichlin, Y., Sprecher, E. & Katzir, A., 2019, Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications XIX. Gannot, I. & Gannot, I. (eds.). SPIE, 108720Y. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10872).

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

  • Evanescent Wave 100%
  • Mid-IR Spectroscopy 88%
  • evanescent waves 82%
  • Spectroscopy 78%
  • lesions 76%

• 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

  • Liver 100%
  • Tuning 64%
  • Joints 59%
  • Datasets 24%
  • Freezing 11%

• 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

  • Liver 100%
  • Image analysis 79%
  • Neural networks 50%
  • Experiments 29%

• Label-free quantitative classification of cancer cells measured by interferometric phase microscopy

  Shaked, N. T., 2019, CLEO: Applications and Technology, CLEO_AT 2019. OSA - The Optical Society, (Optics InfoBase Conference Papers; vol. Part F127-CLEO_AT 2019).

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

  • Flow cytometry 100%
  • Microscopic examination 71%
  • Cytometry 69%
  • Cells 64%
  • Labels 56%

• Label-Free Quantitative Classification of Cancer Cells Measured by Interferometric Phase Microscopy

  Shaked, N. T., May 2019, 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8749613. (2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings).

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

  • Flow cytometry 100%
  • cytometry 90%
  • Microscopic examination 71%
  • Cytometry 69%
  • Cells 64%

• 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

  • nodules 100%
  • semantics 95%
  • lungs 81%
  • retrieval 78%
  • Semantics 77%

• 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

  • Masks 100%
  • Labeling 92%
  • Pixels 42%
  • Convolutional neural networks 34%
  • Multiple Sclerosis 33%

• Wound healing assay of two competing cell types with dry mass measurement

  Cohen Maslaton, S. & Shaked, N. T., 2019, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV. Ferraro, P., Grilli, S., Ritsch-Marte, M., Ritsch-Marte, M. & Hitzenberger, C. K. (eds.). SPIE, 110600Z. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11060).

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

  • Wound Healing 100%
  • wound healing 92%
  • Assays 74%
  • Fluorescent Probe 58%
  • Monolayers 55%
• 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

  • Tomography 100%
  • Labeled data 81%
  • Pixels 77%
  • Liver 41%
  • Radiologists 32%

• A portable thermal imaging device as a feedback system for breast cancer treatment

  Hoffer, O. A., Ben-David, M. A., Katz, E., Sholomov, M., Kelson, I. & Gannot, I., 2018, Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications XVIII. Gannot, I. & Gannot, I. (eds.). SPIE, 104880T. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10488).

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

  • Oncology 100%
  • Adjuvant 92%
  • Infrared imaging 88%
  • breast 78%
  • Tumors 76%

• 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

  • fibrosis 100%
  • Liver 78%
  • liver 72%
  • Fibrosis 49%
  • Tomography 47%

• 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

  • Encoder 100%
  • Segmentation 90%
  • Lung 49%
  • Computer aided diagnosis 46%
  • Architecture 41%

• Integral refractive index imaging of flowing cell nuclei

  Dardikman, G., Nygate, Y. N., Barnea, I., Turko, N. A., Singh, G., Javidi, B. & Shaked, N. T., 2018, Computational Optical Sensing and Imaging, COSI 2018. OSA - The Optical Society, (Optics InfoBase Conference Papers; vol. Part F99-COSI 2018).

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

  • Fluorescence microscopy 100%
  • Refractive index 89%
  • Microscopic examination 73%
  • Fluorescence Microscopy 68%
  • Cells 66%

• 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

  • Catheters 100%
  • Phantoms 84%
  • Neural Networks 74%
  • Electrophysiology 59%
  • Phantom 55%