Eli Konen

2023

Complementary Phase Encoding for Pair-Wise Neural Deblurring of Accelerated Brain MRI

Hod, G., Green, M., Waserman, M., Konen, E., Shrot, S., Nelkenbaum, I., Kiryati, N. & Mayer, A., 2023, Computer Vision – ECCV 2022 Workshops, Proceedings. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 268-280 13 p. (Lecture Notes in Computer Science; vol. 13803 LNCS).

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

Neural Registration and Segmentation of White Matter Tracts in Multi-modal Brain MRI

Barzilay, N., Nelkenbaum, I., Konen, E., Kiryati, N. & Mayer, A., 2023, Computer Vision – ECCV 2022 Workshops, Proceedings. Karlinsky, L., Michaeli, T. & Nishino, K. (eds.). Springer Science and Business Media Deutschland GmbH, p. 252-267 16 p. (Lecture Notes in Computer Science; vol. 13803 LNCS).

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

2022

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

6 Scopus citations

2021

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

2020

Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound

Habib, G., Kiryati, N., Sklair-Levy, M., Shalmon, A., Halshtok Neiman, O., Faermann Weidenfeld, R., Yagil, Y., Konen, E. & Mayer, A., 2020, 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, Proceedings. Syeda-Mahmood, T., Drechsler, K., Greenspan, H., Madabhushi, A., Karargyris, A., Oyarzun Laura, C., Wesarg, S., Linguraru, M. G., Shekhar, R., Erdt, M. & González Ballester, M. Á. (eds.). Springer Science and Business Media Deutschland GmbH, p. 125-135 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12445 LNCS).

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

10 Scopus citations

Automatic Segmentation of White Matter Tracts Using Multiple Brain MRI Sequences

Nelkenbaum, I., Tsarfaty, G., Kiryati, N., Konen, E. & Mayer, A., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 368-371 4 p. 9098454. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

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

6 Scopus citations

Labeling of Multilingual Breast MRI Reports

Tsai, C. H., Kiryati, N., Konen, E., Sklair-Levy, M. & Mayer, A., 2020, Interpretable and Annotation-Efficient Learning for Medical Image Computing - 3rd International Workshop, iMIMIC 2020, 2nd International Workshop, MIL3iD 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Proceedings. Cardoso, J., Silva, W., Cruz, R., Van Nguyen, H., Roysam, B., Heller, N., Henriques Abreu, P., Pereira Amorim, J., Isgum, I., Patel, V., Zhou, K., Jiang, S., Le, N., Luu, K., Sznitman, R., Cheplygina, V., Abbasi, S., Mateus, D. & Trucco, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 233-241 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12446 LNCS).

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

V-Net Light - Parameter-Efficient 3-D Convolutional Neural Network for Prostate MRI Segmentation

Yaniv, O., Portnoy, O., Talmon, A., Kiryati, N., Konen, E. & Mayer, A., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 442-445 4 p. 9098643. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

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

14 Scopus citations

2019

Feature aggregation in perceptual loss for ultra low-dose (ULD) CT denoising

Green, M., Marom, E. M., Konen, E., Kiryati, N. & Mayer, A., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1635-1638 4 p. 8759323. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

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

2 Scopus citations

Neural Denoising of Ultra-low Dose Mammography

Green, M., Sklair-Levy, M., Kiryati, N., Konen, E. & Mayer, A., 2019, Machine Learning for Medical Image Reconstruction - 2nd International Workshop, MLMIR 2019, held in Conjunction with MICCAI 2019, Proceedings. Knoll, F., Maier, A., Rueckert, D. & Ye, J. C. (eds.). Springer, p. 215-225 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11905 LNCS).

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

Open Access

2 Scopus citations

2018

Learning real noise for ultra-low dose lung CT denoising

Green, M., Marom, E. M., Konen, E., Kiryati, N. & Mayer, A., 2018, Patch-Based Techniques in Medical Imaging - 4th International Workshop, Patch-MI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Munsell, B. C., Wu, G., Coupé, P., Sanroma, G., Zhan, Y. & Bai, W. (eds.). Springer Verlag, p. 3-11 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11075 LNCS).

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

8 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

9 Scopus citations

2017

A neural regression framework for low-dose coronary CT angiography (CCTA) denoising

Green, M., Marom, E. M., Kiryati, N., Konen, E. & Mayer, A., 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. 102-110 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

1 Scopus citations

2016

Assessment of Interstitial Fluid Pressure in solid tumors via image processing of DCE-MRI

Dadiani, M., Kahana, N., Kaufman, B., Konen, E., Sklair-Levy, M. & Mayer, A., 7 Nov 2016, IST 2016 - 2016 IEEE International Conference on Imaging Systems and Techniques, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 189-194 6 p. 7738221. (IST 2016 - 2016 IEEE International Conference on Imaging Systems and Techniques, Proceedings).

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

2 Scopus citations

A system for automatic aorta sections measurements on chest CT

Pfeffer, Y., Mayer, A., Zholkover, A. & Konen, E., 2016, Medical Imaging 2016: Computer-Aided Diagnosis. Tourassi, G. D. & Armato, S. G. (eds.). SPIE, 978505. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9785).

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

3 Scopus citations

Automatic classification of cancer cells in multispectral microscopic images of lymph node samples

Zimmerman-Moreno, G., Marin, I., Lindner, M., Barshack, I., Garini, Y., Konen, E. & Mayer, A., 13 Oct 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., p. 3973-3976 4 p. 7591597. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2016-October).

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

5 Scopus citations

Efficient low-dose CT denoising by locally-consistent non-local means (LC-NLM)

Green, M., Marom, E. M., Kiryati, N., Konen, E. & Mayer, A., 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Joskowicz, L., Sabuncu, M. R., Wells, W., Unal, G. & Ourselin, S. (eds.). Springer Verlag, p. 423-431 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9902 LNCS).

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

Open Access

35 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

2015

Chest pathology detection using deep learning with non-medical training

Bar, Y., Diamant, I., Wolf, L., Lieberman, S., Konen, E. & Greenspan, H., 21 Jul 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society, p. 294-297 4 p. 7163871. (Proceedings - International Symposium on Biomedical Imaging; vol. 2015-July).

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

327 Scopus citations

Pneumothorax detection in chest radiographs using local and global texture signatures

Geva, O., Zimmerman-Moreno, G., Lieberman, S., Konen, E. & Greenspan, H., 2015, Medical Imaging 2015: Computer-Aided Diagnosis. Hadjiiski, L. M. & Tourassi, G. D. (eds.). SPIE, 94141P. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9414).

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

15 Scopus citations

2011

System for pathology categorization and retrieval in chest radiographs

Avni, U., Greenspan, H., Konen, E., Sharon, M. & Goldberger, J., 2011, Medical Imaging 2011: Computer-Aided Diagnosis. 79630M. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 7963).

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

2010

Abnormal olfactory function demonstrated by manganese-enhanced MRI in mice with experimental neuropsychiatric lupus: Annals of the New York Academy of Sciences

Kivity, S., Tsarfaty, G., Agmon-Levin, N., Blank, M., Manor, D., Konen, E., Chapman, J., Reichlin, M., Wasson, C., Shoenfeld, Y. & Kushnir, T., Apr 2010, Neuroendocrine Immunology in Rheumatic Diseases: Translation from Basics to Clinics. Blackwell Publishing Inc., p. 70-77 8 p. (Annals of the New York Academy of Sciences; vol. 1193).

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

25 Scopus citations

Chest x-ray characterization: From organ identification to pathology categorization

Avni, U., Goldberger, J., Sharon, M., Konen, E. & Greenspan, H., 2010, MIR 2010 - Proceedings of the 2010 ACM SIGMM International Conference on Multimedia Information Retrieval. Association for Computing Machinery (ACM), p. 155-163 9 p. (MIR 2010 - Proceedings of the 2010 ACM SIGMM International Conference on Multimedia Information Retrieval).

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

10 Scopus citations

2009

X-Ray image categorization and retrieval using patch-based visualwords representation

Avni, U., Greenspan, H., Sharon, M., Konen, E. & Goldberger, J., 2009, Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. p. 350-353 4 p. 5193056. (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009).

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

34 Scopus citations

Eli Konen

Research output

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