Research output per year
Research output per year
Search results
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2021
Segmenting microcalcifications in mammograms and its applications
Zamir, R., Bagon, S., Samocha, D., Yagil, Y., Basri, R., Sklair-Levy, M. & Galun, M., 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE, 115962W. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11596).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access8 Scopus citations -
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 -
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
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2019
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 Access1 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