Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Eduardo J. Mortani Barbosa"'
Publikováno v:
Journal of Thoracic Imaging. 38:88-96
Autor:
Chunrui Zou, Walter Mankowski, Lauren Pantalone, Shefali Setia Verma, Eduardo J. Mortani Barbosa, Tessa S. Cook, Peter B. Noel, Erica L. Carpenter, Jeffrey C. Thompson, Russell T. Shinohara, Sharyn I. Katz, Despina Kontos
Publikováno v:
Medical Imaging 2023: Computer-Aided Diagnosis.
Publikováno v:
Academic Radiology. 29:S156-S164
Rationale and Objectives To train and validate machine learning models capable of classifying suspicious thoracic lesions as benign or malignant and to further classify malignant lesions by pathologic subtype while quantifying feature importance for
Autor:
Youngjin Yoo, Alexander W. Sauter, Pina C. Sanelli, Philippe Grenier, Sasa Grbic, Savvas Nicolaou, Eduardo J. Mortani Barbosa, Dorin Comaniciu, Nakul Gupta, Bogdan Georgescu, François Mellot, Thomas Re, Jordi Broncano Cabrero, Valentin Ziebandt, Thomas Flohr, Gorka Bastarrika Alemañ, Guillaume Chabin, Shikha Chaganti
Publikováno v:
European Radiology
Objectives To investigate machine learning classifiers and interpretable models using chest CT for detection of COVID-19 and differentiation from other pneumonias, interstitial lung disease (ILD) and normal CTs. Methods Our retrospective multi-instit
Publikováno v:
Academic Radiology. 28:608-618
Purpose CT guided transthoracic biopsy (CTTB) is an established, minimally invasive method for diagnostic evaluation of a variety of thoracic diseases. We assessed a large CTTB cohort diagnostic accuracy, complication rates, and developed machine lea
Autor:
Hae-Min, Jung, Rochelle, Yang, Warren B, Gefter, Florin C, Ghesu, Boris, Mailhe, Awais, Mansoor, Sasa, Grbic, Dorin, Comaniciu, Sebastian, Vogt, Eduardo J, Mortani Barbosa
Publikováno v:
Journal of Medical Imaging. 9
Publikováno v:
J Am Coll Radiol
Purpose The aim of this study was to evaluate racial/ethnic disparities in follow-up adherence for incidental pulmonary nodules (IPNs) using a cascade-of-care framework, representing the multistage pathway from IPN diagnosis to timely follow-up adher
Autor:
Danielle E. Altman, Lihong Qi, Sophronia Yu, Michael K. Gould, Rebecca Smith-Bindman, Beth Creekmur, Debra S. Dyer, Diana L. Miglioretti, Igor Barjaktarevic, Evan de Bie, Karen Kelly, Eduardo J. Mortani Barbosa, Laszlo T. Vaszar, Richard A. Mularski
Publikováno v:
Annals of the American Thoracic Society. 16:1567-1576
Small pulmonary nodules are most often managed by surveillance imaging with computed tomography (CT) of the chest, but the optimal frequency and duration of surveillance are unknown. The Watch the Spot Trial is a multicenter, pragmatic, comparative-e
Autor:
Warren B. Gefter, Babak Haghighi, Eduardo J. Mortani Barbosa, Despina Kontos, Lauren Pantalone
Objectives To utilize high-resolution quantitative CT (QCT) imaging features for prediction of diagnosis and prognosis in fibrosing interstitial lung diseases (ILD). Methods 40 ILD patients (20 usual interstitial pneumonia (UIP), 20 non-UIP pattern I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e27575f0a2384720e138eb699f9f331f
https://doi.org/10.21203/rs.3.rs-224275/v1
https://doi.org/10.21203/rs.3.rs-224275/v1
Autor:
Siqi Liu, Awais Mansoor, Florin C. Ghesu, Boris Mailhe, Sebastian Vogt, Eduardo J. Mortani Barbosa, Warren B. Gefter, Sasa Grbic
Publikováno v:
Investigative Radiology.
Objectives The aim of this study was to leverage volumetric quantification of airspace disease (AD) derived from a superior modality (computed tomography [CT]) serving as ground truth, projected onto digitally reconstructed radiographs (DRRs) to (1)