Joana Maria Neves da Rocha


AuthID: R-00J-28S

Confirmed Publications: 13



11
TITLE: Conventional Filtering Versus U-Net Based Models for Pulmonary Nodule Segmentation in CT Images  Full Text
AUTHORS: Joana Rocha ; Antonio Cunha ; Ana Maria Mendonca ;
PUBLISHED: 2020, SOURCE: JOURNAL OF MEDICAL SYSTEMS, VOLUME: 44, ISSUE: 4
INDEXED IN: Scopus WOS CrossRef: 17
IN MY: ORCID
12
TITLE: Segmentation of Pulmonary Nodules in CT Images Using the Sliding Band Filter
AUTHORS: Joana Rocha ; Antonio Cunha ; Ana Maria Mendonca ;
PUBLISHED: 2020, SOURCE: 15th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON) in XV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING - MEDICON 2019, VOLUME: 76
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
13
TITLE: Comparison of conventional and deep learning based methods for pulmonary nodule segmentation in CT images
AUTHORS: Rocha, J ; Cunha, A ; Maria Mendonça, A;
PUBLISHED: 2019, SOURCE: 19th EPIA Conference on Artificial Intelligence, EPIA 2019 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 11804 LNAI
INDEXED IN: Scopus CrossRef: 4
IN MY: ORCID
Page 2 of 2. Total results: 13.

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