Karem D. Marcomini

According to our database, Karem D. Marcomini authored at least 10 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Ensemble of Convolutional Neural Networks for COVID-19 Localization on Chest X-ray Images.

Karem D. Marcomini

Big Data Cogn. Comput., August, 2024

2022

A deep learning approach for COVID-19 screening and localization on chest x-ray images.

Karem Daiane Marcomini, Diego Armando Cardona Cárdenas, Agma Juci Machado Traina, José Eduardo Krieger, Marco Antonio Gutierrez

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases.

Erikson Júlio De Aguiar, Karem D. Marcomini, Felipe A. Quirino, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2017

Agreement between a computer-assisted tool and radiologists to classify lesions in breast elastography images.

Karem D. Marcomini, Eduardo F. C. Fleury, Vilmar M. Oliveira, Antonio A. O. Carneiro, Homero Schiabel, Robert M. Nishikawa

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016

Application of Artificial Neural Network Models in Segmentation and Classification of Nodules in Breast Ultrasound Digital Images.

Karem D. Marcomini, Antonio A. O. Carneiro, Homero Schiabel

Int. J. Biomed. Imaging, 2016

Observer study to evaluate the simulation of mammographic calcification clusters.

Maria A. Z. Sousa, Karem D. Marcomini, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

Segmentation techniques evaluation based on a single compact breast mass classification scheme.

Bruno R. N. Matheus, Karem D. Marcomini, Homero Schiabel

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Proposal of Semi-automatic Classification of Breast Lesions for Strain Sonoelastography Using a Dedicated CAD System.

Karem D. Marcomini, Eduardo F. C. Fleury, Homero Schiabel, Robert M. Nishikawa

Proceedings of the Breast Imaging, 2016

2014

Development of a computer tool to detect and classify nodules in ultrasound breast images.

Karem D. Marcomini, Antonio A. O. Carneiro, Homero Schiabel

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

2013

Quantitative evaluation of automatic methods for lesions detection in breast ultrasound images.

Karem D. Marcomini, Homero Schiabel, Antonio Adilton Oliveira Carneiro

Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013