No photo of Luis Sanchez Giraldo

View Scopus Profile

Luis Sanchez Giraldo, Ph.D.

    Calculated based on number of publications stored in Pure and citations from Scopus
    20062025

    Research activity per year

    Personal profile

    Expertise related to UN Sustainable Development Goals

    In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

    • SDG 3 - Good Health and Well-being

    Education/Academic qualification

    Doctor of Philosophy, University Of Florida

    2012

    Master of Engineering, National University Of Colombia

    2008

    Bachelor of Engineering, National University Of Colombia

    2004

    Fingerprint

    Dive into the research topics where Luis Sanchez Giraldo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
    • 1 Similar Profiles
    View full fingerprint

    Collaborations and top research areas from the last five years

    Recent external collaboration from the last 5 years on country level. Dive into details by clicking on the dots.
    Explore network further

    • FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-supervised Learning

      Skean, O., Dhakal, A., Jacobs, N. & Sanchez Giraldo, L. G., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). p. 69-85 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15147 LNCS).

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

    • Non-uniform Sampling-Based Breast Cancer Classification

      Posso Murillo, S., Skean, O. & Sanchez Giraldo, L. G., 2024, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Cao, X., Ouyang, X., Xu, X., Rekik, I. & Cui, Z. (eds.). p. 335-345 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14349 LNCS).

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

    • Skin Lesion Segmentation Improved by Transformer-Based Networks with Inter-scale Dependency Modeling

      Eskandari, S., Lumpp, J. & Sanchez Giraldo, L., 2024, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Cao, X., Ouyang, X., Xu, X., Rekik, I. & Cui, Z. (eds.). p. 351-360 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14348 LNCS).

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

      7 Scopus citations

    • Multiscale principle of relevant information for hyperspectral image classification

      Wei, Y., Yu, S., Giraldo, L. S. & Príncipe, J. C., Apr 2023, In: Machine Learning. 112, 4, p. 1227-1252 26 p.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      5 Scopus citations

    • Inference via sparse coding in a hierarchical vision model

      Bowren, J., Sanchez-Giraldo, L. & Schwartz, O., Feb 2022, In: Journal of Vision. 22, 2, 19.

      Research output: Contribution to journal › Article › peer-review

      Open Access
      1 Scopus citations
    View all 38 Research outputs