Derivación de objetos utilizando LEL y Escenarios en un caso real. - Mariana del Fresno; María Virginia Mauco; Marcela N. Ridao; Jorge Horacio Doorn; Laura C. Rivero (WER, 1998)

Una Estrategia de Análisis Orientada a Objetos basada en Escenarios: Aplicación en un Caso Real. - Laura C. Rivero; Jorge Horacio Doorn; Mariana del Fresno; María Virginia Mauco; Marcela N. Ridao; María Carmen Leonardi (WER, 1998)

Application of color image segmentation to estrusc detection. - Mariana del Fresno; Andrea Macchi; Zulma Marti; Alberto Dick; Alejandro Clausse (J. Vis., 2006)

A combined region growing and deformable model method for extraction of closed surfaces in 3D CT and MRI scans. - Mariana del Fresno; Marcelo J. Vénere; Alejandro Clausse (Comput. Medical Imaging Graph., 2009)

Automatic rectum limit detection by anatomical markers correlation. - Rafael Namías; Juan D'Amato; Mariana del Fresno; Marcelo J. Vénere (Comput. Medical Imaging Graph., 2014)

Comments on "A Closed-Form Solution to Tensor Voting: Theory and Applications". - Emmanuel Maggiori; Pablo A. Lotito; Hugo Luis Manterola; Mariana del Fresno (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Perceptual grouping by tensor voting: a comparative survey of recent approaches. - Emmanuel Maggiori; Hugo Luis Manterola; Mariana del Fresno (IET Comput. Vis., 2015)

Assessment of image features for vessel wall segmentation in intravascular ultrasound images. - Lucas Lo Vercio; José Ignacio Orlando; Mariana del Fresno; Ignacio Larrabide (Int. J. Comput. Assist. Radiol. Surg., 2016)

Multi-object segmentation framework using deformable models for medical imaging analysis. - Rafael Namías; Juan P. D'Amato; Mariana del Fresno; Marcelo J. Vénere; Nicolas Pirró; Marc-Emmanuel Bellemare (Medical Biol. Eng. Comput., 2016)

Open-source software platform for medical image segmentation applications. - Rafael Namías; Juan P. D'Amato; Mariana del Fresno (SIPAIM, 2017)

Retinal blood vessel segmentation in high resolution fundus photographs using automated feature parameter estimation. - José Ignacio Orlando; Marcos Fracchia; Valeria del Río; Mariana del Fresno (SIPAIM, 2017)

Learning to Detect Red Lesions in Fundus Photographs: An Ensemble Approach based on Deep Learning. - José Ignacio Orlando; Elena Prokofyeva; Mariana del Fresno; Matthew B. Blaschko (CoRR, 2017)

An ensemble deep learning based approach for red lesion detection in fundus images. - José Ignacio Orlando; Elena Prokofyeva; Mariana del Fresno; Matthew B. Blaschko (Comput. Methods Programs Biomed., 2018)

Lumen-intima and media-adventitia segmentation in IVUS images using supervised classifications of arterial layers and morphological structures. - Lucas Lo Vercio; Mariana del Fresno; Ignacio Larrabide (Comput. Methods Programs Biomed., 2019)