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Pragnya Maduskar

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Medical Physics|January 31, 2017
Fast and effective quantification of symmetry in medical images for pathology detection: Application to chest radiographyLaurens Hogeweg, Clara I Sánchez, Pragnya Maduskar, et al.
Medical Image Analysis|September 25, 2012
Clavicle segmentation in chest radiographsLaurens Hogeweg, Clara I Sánchez, Pim A de Jong, et al.
Medical Physics|July 5, 2013
Foreign object detection and removal to improve automated analysis of chest radiographsLaurens Hogeweg, Clara I Sánchez, Jaime Melendez, et al.
IEEE Transactions on Medical Imaging|December 15, 2015
On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of TuberculosisJaime Melendez, Bram van Ginneken, Pragnya Maduskar, et al.
Scientific Reports|April 30, 2016
An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical informationJaime Melendez, Clara I Sánchez, Rick H H M Philipsen, et al.
Plos One|April 8, 2014
The sensitivity and specificity of using a computer aided diagnosis program for automatically scoring chest X-rays of presumptive TB patients compared with Xpert MTB/RIF in Lusaka ZambiaMonde Muyoyeta, Pragnya Maduskar, Maureen Moyo, et al.
Medical Image Analysis|December 22, 2015
Automatic detection of pleural effusion in chest radiographsPragnya Maduskar, Rick H M M Philipsen, Jaime Melendez, et al.
Medical Physics|July 4, 2014
Cavity contour segmentation in chest radiographs using supervised learning and dynamic programmingPragnya Maduskar, Laurens Hogeweg, Pim A de Jong, et al.
IEEE Transactions on Medical Imaging|February 24, 2015
Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality AnalysisLaurens Hogeweg, Clara I Sánchez, Pragnya Maduskar, et al.
IEEE Transactions on Medical Imaging|August 28, 2014
A novel multiple-instance learning-based approach to computer-aided detection of tuberculosis on chest X-raysJaime Melendez, Bram van Ginneken, Pragnya Maduskar, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Medical Physics|January 31, 2017
Fast and effective quantification of symmetry in medical images for pathology detection: Application to chest radiographyLaurens Hogeweg, Clara I Sánchez, Pragnya Maduskar, et al.
Medical Image Analysis|September 25, 2012
Clavicle segmentation in chest radiographsLaurens Hogeweg, Clara I Sánchez, Pim A de Jong, et al.
Medical Physics|July 5, 2013
Foreign object detection and removal to improve automated analysis of chest radiographsLaurens Hogeweg, Clara I Sánchez, Jaime Melendez, et al.
IEEE Transactions on Medical Imaging|December 15, 2015
On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of TuberculosisJaime Melendez, Bram van Ginneken, Pragnya Maduskar, et al.
Scientific Reports|April 30, 2016
An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical informationJaime Melendez, Clara I Sánchez, Rick H H M Philipsen, et al.
Plos One|April 8, 2014
The sensitivity and specificity of using a computer aided diagnosis program for automatically scoring chest X-rays of presumptive TB patients compared with Xpert MTB/RIF in Lusaka ZambiaMonde Muyoyeta, Pragnya Maduskar, Maureen Moyo, et al.
Medical Image Analysis|December 22, 2015
Automatic detection of pleural effusion in chest radiographsPragnya Maduskar, Rick H M M Philipsen, Jaime Melendez, et al.
Medical Physics|July 4, 2014
Cavity contour segmentation in chest radiographs using supervised learning and dynamic programmingPragnya Maduskar, Laurens Hogeweg, Pim A de Jong, et al.
IEEE Transactions on Medical Imaging|February 24, 2015
Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality AnalysisLaurens Hogeweg, Clara I Sánchez, Pragnya Maduskar, et al.
IEEE Transactions on Medical Imaging|August 28, 2014
A novel multiple-instance learning-based approach to computer-aided detection of tuberculosis on chest X-raysJaime Melendez, Bram van Ginneken, Pragnya Maduskar, et al.
Pageof 1