no code implementations • IEEE Transactions on Medical Imaging ( Volume: 37 , Issue: 11 , Nov. 2018 ) 2018 • Pietro Nardelli, Daniel Jimenez-Carretero, David Bermejo-Pelaez, George R. Washko, Farbod N. Rahaghi, Maria J. Ledesma-Carbayo, Raúl San José Estépar
In this paper, we present a novel, fully automatic approach to classify vessels from chest CT images into arteries and veins.
Ranked #3 on Pulmonary Artery–Vein Classification on SunYs
no code implementations • 30 Mar 2020 • Germán González, Daniel Jimenez-Carretero, Sara Rodríguez-López, Carlos Cano-Espinosa, Miguel Cazorla, Tanya Agarwal, Vinit Agarwal, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang, Mojtaba Masoudi, Noushin Eftekhari, Mahdi Saadatmand, Hamid-Reza Pourreza, Patricia Fraga-Rivas, Eduardo Fraile, Frank J. Rybicki, Ara Kassarjian, Raúl San José Estépar, Maria J. Ledesma-Carbayo
Objective: To generate a database of annotated computed tomography pulmonary angiographies, use it to compare the sensitivity and false positive rate of current algorithms and to develop new methods that improve such metrics.
1 code implementation • 31 Jan 2023 • Daniel Capellán-Martín, Juan J. Gómez-Valverde, Ramon Sanchez-Jacob, David Bermejo-Peláez, Lara García-Delgado, Elisa López-Varela, Maria J. Ledesma-Carbayo
In clinical practice, experienced physicians assess TB by examining chest X-rays (CXR).
no code implementations • 22 Feb 2024 • Abhieet Parida, Daniel Capellan-Martin, Sara Atito, Muhammad Awais, Maria J. Ledesma-Carbayo, Marius G. Linguraru, Syed Muhammad Anwar
In this context, we introduce Diverse Concept Modeling (DiCoM), a novel self-supervised training paradigm that leverages a student teacher framework for learning diverse concepts and hence effective representation of the CXR data.