Producción intelectual de Fabio Martinez Carrillo

2023

Fast detection and localization of mitosis using a semi-supervised deep representation

etection, characterization and counting of mitosis is a main biomarker in cancer, allowing diagnosis, histological grading and prognosis. Nonetheless, mitosis identification remains as a challenging task (inter-observer variability up to 20%). Even, the computational support stra...


Autor(es): Santiago Andres Castro.   David Edmundo Romo.   Luis Carlos Guayacan.   Fabio Martinez.  



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2022

A digital cardiac disease biomarker from a generative progressive cardiac cine?MRI representation

Cardiac cine-MRI is one of the most important diagnostic tools used to assess the morphology and physiology of the heart during the cardiac cycle. Nonetheless, the analysis on cardiac cine-MRI is poorly exploited and remains highly dependent on the observer"s expertise. This work...


Autor(es): Santiago Gomez.   David Edmundo Romo.   Fabio Martinez.  



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2022

Deep learning representations to support COVID-19 diagnosis on CT slices

Introduction: The coronavirus disease 2019 (COVID-19) has become a significant public health problem worldwide. In this context, CT-scan automatic analysis has emerged as a COVID-19 complementary diagnosis tool allowing for radiological finding characterization, patient categoriz...


Autor(es): Jefferson David Rodriguez.   Miguel Alberto Plazas.   Lola Xiomara Bautista.   Jorge Villamizar.   Gabriel Rodrigo Pedraza.   Alejandra Moreno.   Fabio Martinez.   David Edmundo Romo.   Josúe Ruano.   John Arcila.   Carlos Vargas.   Oscar Mendoza.   Lina Vasquez.   Diana Valenzuela.   Carolina Valenzuela.   Paul Camacho.   Daniel Mantilla.  



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2021

Cardiac Disease Representation Conditioned by Spatio-temporal Priors in Cine-MRI Sequences Using Generative Embedding Vectors

Cardiac cine-MRI is one of the most important diagnostic tools for characterizing heart-related pathologies. This imaging technique allows clinicians to assess the morphology and physiology of the heart during the cardiac cycle. Nonetheless, the analysis on cardiac cine-MRI is hi...


Autor(es): Henry Ivan Peña.   Santiago Gomez.   David Edmundo Romo.   Fabio Martinez.  



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2021

A Covid-19 Patient Severity Stratification using a 3D Convolutional Strategy on CT-Scans

his work introduces a 3D deep learning methodology to stratify patients according to the severity of lung infection caused by COVID-19 disease on computerized tomography images (CT). A set of volumetric attention maps were also obtained to explain the results and support the diag...


Autor(es): Jefferson David Rodriguez.   David Edmundo Romo.   Franklin Samuel Sierra.   Fabio Martinez.   Diana Valenzuela.   Carolina Valenzuela.   Lina Vasquez.   Paul Camacho.   Daniel Mantilla.  



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2016

Design, development and validation of a new laryngo-pharyngeal endoscopic esthesiometer and range-finder based on the assessment of air-pulse variability determinants.

L. Giraldo-Cadavid, L Agudelo-Otalora, J Burguete, M Arbulu, W Moscoso, F Martínez, A Ortiz, J Diaz, J Pantoja, A Rueda-Arango and S Fernández.BioMedical Engineering OnLine. 15:52 (2016). Laryngo-pharyngeal mechano-sensitivity (LPMS) is involved in dysphagia, sleep apnea, strok...


Autor(es): Fabio Martinez.  



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2015

Estimating the size of polyps during actual endoscopy procedures using a spatio-temporal characterization. Fabio Martínez, Josué Ruano, Martín Gómez, Eduardo Romero

Colorectal cancer usually appears in polyps developed from the mucosa. Carcinoma is frequently found in those polyps larger than 10mm and therefore only this kind of polyps is sent for pathology examination. In consequence, accurate estimation of a polyp size determines the sur...


Autor(es): Fabio Martinez.  



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2015

Automatic analysis and characterization of the hummingbird wings motion using dense optical flow features. Fabio Martínez, Antoine Manzanera, Eduardo Romero

A new method for automatic analysis and characterization of recorded hummingbird wing motion is proposed. The method starts by computing a multiscale dense optical flow field, which is used to segment the wings, i.e., pixels with larger velocities. Then, the kinematic and defor...


Autor(es): Fabio Martinez.  



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2014

Segmentation of pelvic structures for planning CT using a geometrical shape model tuned by a multi-scale edge detector.

Fabio Martínez, Eduardo Romero, Gael Drëán, Antoine Simon, Pascal Haigron,Renaud de Crevoisier, Oscar Acosta. Segmentation of pelvic structures for planning CT using a geometrical shape model tuned by a multi-scale edge detector.


Autor(es): Fabio Martinez.  



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2013

Simulation of normal and pathological gaits using a fusion knowledge strategy.

J Neuroeng Rehabil. 2013 Jul 11;10(1):73.. Fabio Martínez, Christian Cifuentes, Eduardo Romero. Simulation of normal and pathological gaits using a fusion knowledge strategy.


Autor(es): Fabio Martinez.  



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2011

A kinematic method for computing the motion of the body centre-of-mass (CoM) during walking: a Bayesian approach.

Fabio Martínez, Francisco Gómez, Eduardo Romero


Autor(es): Fabio Martinez.  



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