Ron Kimmel

Prof.

Former affiliation
    Calculated based on number of publications stored in Pure and citations from Scopus
    1993 …2024

    Research activity per year

    Fingerprint

    Dive into the research topics where Ron Kimmel is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
    • 1 Similar Researchers

    Collaborations and top research areas from the last five years

    Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
    • A Multi-spectral Geometric Approach for Shape Analysis

      Bensaïd, D. & Kimmel, R., 2024, (Accepted/In press) In: Journal of Mathematical Imaging and Vision.

      Research output: Contribution to journalArticlepeer-review

      Open Access
    • FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions

      Rotstein, N., Bensaïd, D., Brody, S., Ganz, R. & Kimmel, R., 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. p. 5677-5688 12 p. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      Open Access
    • 3D surface topographic measurements for idiopathic scoliosis are highly correlative to patient self-image questionnaires

      Thakur, A., Groisser, B., Hillstrom, H. J., Cunningham, M. E., Hresko, M. T., Otremski, H., Morse, K. W., Page, K., Gmelich, C., Kimmel, R., Wolf, A., Widmann, R. F. & Heyer, J. H., Jul 2023, In: Spine Deformity. 11, 4, p. 871-880 10 p.

      Research output: Contribution to journalArticlepeer-review

      3 Scopus citations
    • Deep Accurate Solver for the Geodesic Problem

      Huberman, S., Bracha, A. & Kimmel, R., 2023, Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Proceedings. Calatroni, L., Donatelli, M., Morigi, S., Prato, M. & Santacesaria, M. (eds.). p. 288-300 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14009 LNCS).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Elastica Models for Color Image Regularization

      Liu, H., Xue-Cheng, T., Kimmel, R. & Glowinski, R., 2023, In: SIAM Journal on Imaging Sciences. 16, 1, p. 461-500 40 p.

      Research output: Contribution to journalArticlepeer-review

      Open Access
      2 Scopus citations