• A critical comparison between template-based and architecture-reused deep learning methods for generic 3D landmarking of anatomical structures 

      Heredia Lidón, Álvaro; García-Mascarell, Christian; Echeverry Quiceno, Luis Miguel; Hostalet, Noemí; Herrera Escartín, Daniel; González Alzate, Alejandro; Pomarol-Clotet, Edith; Fortea, Juan; Fatjó-Vilas, Mar; Martínez-Abadías, Neus; Sevillano, Xavier (Lecture Notes in Computer Science, Vol. 1527, pp 97-111., 2024-10-26)
      Shape alterations in body organs are common pathological hallmarks of multiple disorders, making quantitative shape analysis key for obtaining diagnostic and prognostic biomarkers. In this context, ...
    • Landmark anything: Multi-view consensus convolutional networks applied to the 3D landmarking of anatomical structures 

      Heredia Lidón, Álvaro; García-Mascarell, Christian; Echeverry Quiceno, Luis Miguel; Herrera Escartín, Daniel; Fortea, Juan; Pomarol-Clotet, Edith; Fatjó-Vilas, Mar; Martínez-Abadías, Neus; Sevillano, Xavier (Proceedings of the 26th International Conference of the Catalan Association for Artificial Intelligence, 2024)
      As shape alterations in three-dimensional biological structures are associated to numerous pathological processes, quantitative shape analysis for obtaining phenotypic biomarkers of diagnostic potential ...