Paras Lakhani
Orcid: 0000-0003-3373-9226
According to our database1,
Paras Lakhani
authored at least 16 papers
between 2006 and 2023.
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Bibliography
2023
The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs.
J. Digit. Imaging, February, 2023
2022
Generalization of Artificial Intelligence Models in Medical Imaging: A Case-Based Review.
CoRR, 2022
2020
Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset.
J. Digit. Imaging, 2020
Automated Segmentation of Vertebrae on Lateral Chest Radiography Using Deep Learning.
CoRR, 2020
2019
J. Digit. Imaging, 2019
2018
2017
Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities.
J. Digit. Imaging, 2017
Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks.
CoRR, 2017
2016
2012
J. Digit. Imaging, 2012
Int. J. Data Min. Bioinform., 2012
2011
Computer Input Devices: Neutral Party or Source of Significant Error in Manual Lesion Segmentation?
J. Digit. Imaging, 2011
2010
J. Digit. Imaging, 2010
Automated Detection of Radiology Reports that Document Non-routine Communication of Critical or Significant Results.
J. Digit. Imaging, 2010
2009
Letter to the Editor Re: Voice Recognition Dictation: Radiologist as Transcriptionist and Improvement of Report Workflow and Productivity Using Speech Recognition - A Follow-up Study.
J. Digit. Imaging, 2009
2006
Development and Validation of Queries Using Structured Query Language (SQL) to Determine the Utilization of Comparison Imaging in Radiology Reports Stored on PACS.
J. Digit. Imaging, 2006