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Paras Lakhani

Showing results (1-10 of 37) with videos related to

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Radiology. Artificial Intelligence|May 3, 2021
The Importance of Image Resolution in Building Deep Learning Models for Medical ImagingParas Lakhani
Journal of Digital Imaging|June 11, 2017
Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and OpportunitiesParas Lakhani
Radiology|April 25, 2017
Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural NetworksParas Lakhani, Baskaran Sundaram
Clinical Imaging|April 9, 2021
Interstitial lung abnormalities and pulmonary fibrosis in COVID-19 patients: a short-term follow-up case seriesAishwarya Gulati, Paras Lakhani
Neuroimaging Clinics of North America|August 21, 2012
Radiology reporting and communications: a look forwardAdam E Flanders, Paras Lakhani
Journal of Digital Imaging|October 15, 2009
Automated detection of radiology reports that document non-routine communication of critical or significant resultsParas Lakhani, Curtis P Langlotz
Journal of the American College of Radiology : JACR|October 5, 2010
Documentation of nonroutine communications of critical or significant radiology results: a multiyear experience at a tertiary hospitalParas Lakhani, Curtis P Langlotz
Journal of Thoracic Imaging|July 22, 2021
Using Deep Learning Segmentation for Endotracheal Tube Position AssessmentWilliam G Schultheis, Paras Lakhani
Journal of Digital Imaging|August 18, 2016
PowerScribe 360 Mobile Radiologist App ReviewRaja L Gali, Paras Lakhani
Radiology. Artificial Intelligence|May 3, 2021
Endotracheal Tube Position Assessment on Chest Radiographs Using Deep LearningParas Lakhani, Adam Flanders, Richard Gorniak
Pageof 4

Showing results (1-10 of 37) with videos related to

Sort By:
Pageof 4
Radiology. Artificial Intelligence|May 3, 2021
The Importance of Image Resolution in Building Deep Learning Models for Medical ImagingParas Lakhani
Journal of Digital Imaging|June 11, 2017
Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and OpportunitiesParas Lakhani
Radiology|April 25, 2017
Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural NetworksParas Lakhani, Baskaran Sundaram
Clinical Imaging|April 9, 2021
Interstitial lung abnormalities and pulmonary fibrosis in COVID-19 patients: a short-term follow-up case seriesAishwarya Gulati, Paras Lakhani
Neuroimaging Clinics of North America|August 21, 2012
Radiology reporting and communications: a look forwardAdam E Flanders, Paras Lakhani
Journal of Digital Imaging|October 15, 2009
Automated detection of radiology reports that document non-routine communication of critical or significant resultsParas Lakhani, Curtis P Langlotz
Journal of the American College of Radiology : JACR|October 5, 2010
Documentation of nonroutine communications of critical or significant radiology results: a multiyear experience at a tertiary hospitalParas Lakhani, Curtis P Langlotz
Journal of Thoracic Imaging|July 22, 2021
Using Deep Learning Segmentation for Endotracheal Tube Position AssessmentWilliam G Schultheis, Paras Lakhani
Journal of Digital Imaging|August 18, 2016
PowerScribe 360 Mobile Radiologist App ReviewRaja L Gali, Paras Lakhani
Radiology. Artificial Intelligence|May 3, 2021
Endotracheal Tube Position Assessment on Chest Radiographs Using Deep LearningParas Lakhani, Adam Flanders, Richard Gorniak
Pageof 4