Development and Validation of Queries Using Structured Query Language (SQL) to Determine the Utilization of Comparison Imaging in Radiology Reports Stored on PACS. - Paras Lakhani; Elliot D. Menschik; Alberto F. Goldszal; Joseph P. Murray; Mark G. Weiner; Curtis P. Langlotz (J. Digit. Imaging, 2006)

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. - James Y. Chen; Paras Lakhani; Nabile M. Safdar; Paul G. Nagy (J. Digit. Imaging, 2009)

Automated Detection of Radiology Reports that Document Non-routine Communication of Critical or Significant Results. - Paras Lakhani; Curtis P. Langlotz (J. Digit. Imaging, 2010)

Is Android or iPhone the Platform for Innovation in Imaging Informatics. - George Shih; Paras Lakhani; Paul G. Nagy (J. Digit. Imaging, 2010)

Computer Input Devices: Neutral Party or Source of Significant Error in Manual Lesion Segmentation? - James Y. Chen; F. Jacob Seagull; Paul G. Nagy; Paras Lakhani; Elias R. Melhem; Eliot L. Siegel; Nabile M. Safdar (J. Digit. Imaging, 2011)

Extracting templates from radiology reports using sequence alignment. - Shengyang Wu; Curtis P. Langlotz; Paras Lakhani; Lyle H. Ungar (Int. J. Data Min. Bioinform., 2012)

Automated Detection of Critical Results in Radiology Reports. - Paras Lakhani; Woojin Kim; Curtis P. Langlotz (J. Digit. Imaging, 2012)

PowerScribe 360 Mobile Radiologist App Review. - Raja L. Gali; Paras Lakhani (J. Digit. Imaging, 2016)

Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks. - Vishal Desai; Adam E. Flanders; Paras Lakhani (CoRR, 2017)

Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities. - Paras Lakhani (J. Digit. Imaging, 2017)

Hello World Deep Learning in Medical Imaging. - Paras Lakhani; Daniel L. Gray; Carl R. Pett; Paul G. Nagy; George Shih (J. Digit. Imaging, 2018)

Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning. - Varun Singh; Varun Danda; Richard J. T. Gorniak; Adam E. Flanders; Paras Lakhani (J. Digit. Imaging, 2019)

Automated Segmentation of Vertebrae on Lateral Chest Radiography Using Deep Learning. - Sanket Badhe; Varun Singh; Joy Li; Paras Lakhani (CoRR, 2020)

Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset. - Ross W. Filice; Anouk Stein; Carol C. Wu; Veronica A. Arteaga; Stephen Borstelmann; Ramya Gaddikeri; Maya Galperin-Aizenberg; Ritu R. Gill; Myrna C. Godoy; Stephen B. Hobbs; Jean Jeudy; Paras Lakhani; et al. (J. Digit. Imaging, 2020)

Generalization of Artificial Intelligence Models in Medical Imaging: A Case-Based Review. - Rishi Gadepally; Andrew Gomella; Eric Gingold; Paras Lakhani (CoRR, 2022)

The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs. - Paras Lakhani; J. Mongan; Chinmay Singhal; Q. Zhou; Katherine P. Andriole; William F. Auffermann; Prasanth Prasanna; Theresa X. Pham; Michael Peterson; P. J. Bergquist; Tessa Sundaram Cook; S. F. Ferraciolli; et al. (J. Digit. Imaging, 2023)