Lista de obras -

Assessment methodologies and statistical issues for computer-aided diagnosis of lung nodules in computed tomography: contemporary research topics relevant to the lung image database consortium

artículo científico publicado en 2004

Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of "truth".

artículo científico publicado en 2009

Deep Learning Demonstrates Potential for Lung Cancer Detection in Chest Radiography

artículo científico publicado en 2020

Deep convolutional neural networks for the automated segmentation of malignant pleural mesothelioma on computed tomography scans

scientific article published on 01 July 2018

Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: application to scans demonstrating pleural effusion

artículo científico publicado en 2020

EURACAN/IASLC Proposals for Updating the Histologic Classification of Pleural Mesothelioma: Towards a More Multidisciplinary Approach

scientific article published on 20 September 2019

Effect of an iterative reconstruction quantum noise reduction technique on computed tomography radiomic features

scientific article published on 01 November 2020

Effects of variability in radiomics software packages on classifying patients with radiation pneumonitis

artículo científico publicado en 2020

Evaluation of computer-aided detection and diagnosis systems

artículo científico publicado en 2013

Evaluation of lung MDCT nodule annotation across radiologists and methods.

artículo científico publicado en 2006

LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned

artículo científico publicado en 2015

PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images

scientific article published on 01 October 2018

Quality assurance and training procedures for computer-aided detection and diagnosis systems in clinical use

artículo científico publicado en 2013

Radiologic Considerations and Standardization of Malignant Pleural Mesothelioma Imaging Within Clinical Trials: Consensus Statement from the NCI Thoracic Malignancy Steering Committee - International Association for the Study of Lung Cancer - Mesoth

artículo científico publicado en 2019

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.

artículo científico publicado en 2011

The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.

artículo científico publicado en 2007

The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements

artículo científico publicado en 2007

The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans

artículo científico publicado en 2007

The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth"

artículo científico publicado en 2007

Variation in algorithm implementation across radiomics software

scientific article published on 01 October 2018

Lista de obras de

Assessment methodologies and statistical issues for computer-aided diagnosis of lung nodules in computed tomography: contemporary research topics relevant to the lung image database consortium

Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of "truth".

Deep Learning Demonstrates Potential for Lung Cancer Detection in Chest Radiography

Deep convolutional neural networks for the automated segmentation of malignant pleural mesothelioma on computed tomography scans

Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: application to scans demonstrating pleural effusion

EURACAN/IASLC Proposals for Updating the Histologic Classification of Pleural Mesothelioma: Towards a More Multidisciplinary Approach

Effect of an iterative reconstruction quantum noise reduction technique on computed tomography radiomic features

Effects of variability in radiomics software packages on classifying patients with radiation pneumonitis

Evaluation of computer-aided detection and diagnosis systems

Evaluation of lung MDCT nodule annotation across radiologists and methods.

LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned

PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images

Quality assurance and training procedures for computer-aided detection and diagnosis systems in clinical use

Radiologic Considerations and Standardization of Malignant Pleural Mesothelioma Imaging Within Clinical Trials: Consensus Statement from the NCI Thoracic Malignancy Steering Committee - International Association for the Study of Lung Cancer - Mesoth

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.

The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.

The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements

The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans

The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth"

Variation in algorithm implementation across radiomics software