A dataset for Computer-Aided Detection of Pulmonary Embolism in CTA images

no code implementations • 5 Jul 2017 • Mojtaba Masoudi, Hamid-Reza Pourreza, Mahdi Saadatmand Tarzjan, Fateme Shafiee Zargar, Masoud Pezeshki Rad, Noushin Eftekhari

Todays, researchers in the field of Pulmonary Embolism (PE) analysis need to use a publicly available dataset to assess and compare their methods.

Microaneurysm Detection in Fundus Images Using a Two-step Convolutional Neural Networks

no code implementations • 14 Oct 2017 • Noushin Eftekheri, Mojtaba Masoudi, Hamid-Reza Pourreza, Kamaledin Ghiasi Shirazi, Ehsan Saeedi

The early treatment of DR can be conducted from detection of microaneurysms (MAs) which appears as reddish spots in retinal images.

Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE)

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.

Specificity