Karem D. Marcomini

发表

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, 2016, Int. J. Biomed. Imaging.

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

Robert M. Nishikawa, Karem D. Marcomini, Antonio A. O. Carneiro, 2017, Medical Imaging.

Segmentação de nódulos mamográficos utilizando a rede neural artificial self-organizing map

Karem D. Marcomini, Homero Schiabel, Patricia Bellin Ribeiro, 2010 .

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

Karem D. Marcomini, Antonio A. O. Carneiro, Homero Schiabel, 2014, Medical Imaging.

Investigating automatic techniques in segmentation accuracy of masses in digital mammography images

Karem D. Marcomini, Homero Schiabel, 2015 .

Observer study to evaluate the simulation of mammographic calcification clusters

Andrew D. A. Maidment, Predrag R. Bakic, Karem D. Marcomini, 2016, SPIE Medical Imaging.

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

Robert M. Nishikawa, Karem D. Marcomini, Homero Schiabel, 2016, Digital Mammography / IWDM.

Investigating materials for breast nodules simulation by using segmentation and similarity analysis of digital images

Karem D. Marcomini, Homero Schiabel, Maria A. Z. Sousa, 2015, Medical Imaging.

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

Antonio Adilton Oliveira Carneiro, Karem D. Marcomini, Homero Schiabel, 2013, Medical Imaging.

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

Karem D. Marcomini, Homero Schiabel, Bruno R. N. Matheus, 2016, SPIE Medical Imaging.

Performance of machine learning software to classify breast lesions using BI-RADS radiomic features on ultrasound images

Karem D. Marcomini, E. Fleury, 2019, European Radiology Experimental.

Nodules Segmentation in Breast Ultrasound using the Artificial Neural Network Self-Organizing Map

Karem D. Marcomini, H. Schiabel, 2022 .

ultrasonographic and mammographic simulators

Karem D. Marcomini, H. Schiabel, A. Adilton, 2013 .

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

Karem D. Marcomini, J. Krieger, M. Gutierrez, 2022, Medical Imaging.

The Feasibility of Classifying Breast Masses Using a Computer-Assisted Diagnosis (CAD) System Based on Ultrasound Elastography and BI-RADS Lexicon

Karem D. Marcomini, E. Fleury, Vilmar M. Oliveira, 2018, Technology in cancer research & treatment.

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

Karem D. Marcomini, Felipe A. Quirino, C. Traina, 2022, Medical Imaging.