Paras Lakhani

发表

Computer Input Devices: Neutral Party or Source of Significant Error in Manual Lesion Segmentation?

Eliot L. Siegel, Elias R. Melhem, F. Jacob Seagull, 2011, Journal of Digital Imaging.

Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks pdf

Adam E. Flanders, Paras Lakhani, Vishal Desai, 2017, ArXiv.

Machine Learning in Radiology: Applications Beyond Image Interpretation.

Luciano M Prevedello, C Matthew Hawkins, Jose Morey, 2017, Journal of the American College of Radiology : JACR.

Is Android or iPhone the Platform for Innovation in Imaging Informatics

George Shih, Paul G. Nagy, Paras Lakhani, 2009, Journal of Digital Imaging.

Automated Segmentation of Vertebrae on Lateral Chest Radiography Using Deep Learning pdf

Varun Singh, Paras Lakhani, Joy Li, 2020, ArXiv.

Hello World Deep Learning in Medical Imaging

George Shih, Daniel L. Gray, Paul G. Nagy, 2018, Journal of Digital Imaging.

Development and Validation of Queries Using Structured Query Language (SQL) to Determine the Utilization of Comparison Imaging in Radiology Reports Stored on PACS

Alberto F. Goldszal, Curtis P. Langlotz, Mark G. Weiner, 2005, Journal of Digital Imaging.

Extracting templates from radiology reports using sequence alignment

Lyle H. Ungar, Curtis P. Langlotz, Paras Lakhani, 2009, 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop.

Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning

Paras Lakhani, Richard Gorniak, Varun Singh, 2019, Journal of Digital Imaging.

Automated Detection of Radiology Reports that Document Non-routine Communication of Critical or Significant Results

Curtis P. Langlotz, Paras Lakhani, C. Langlotz, 2009, Journal of Digital Imaging.

Extracting templates from radiology reports using sequence alignment

Lyle H. Ungar, Curtis P. Langlotz, Paras Lakhani, 2009, BIBM 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

James Y. Chen, Nabile M. Safdar, Paul G. Nagy, 2009, Journal of Digital Imaging.

Automated Detection of Critical Results in Radiology Reports

Curtis P. Langlotz, Woojin Kim, Paras Lakhani, 2012, Journal of Digital Imaging.

The Importance of Image Resolution in Building Deep Learning Models for Medical Imaging.

Paras Lakhani, P. Lakhani, 2020, Radiology. Artificial intelligence.

Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities

Paras Lakhani, P. Lakhani, 2017, Journal of Digital Imaging.

PowerScribe 360 Mobile Radiologist App Review

Raja L. Gali, Paras Lakhani, 2016, Journal of Digital Imaging.

Documentation of nonroutine communications of critical or significant radiology results: a multiyear experience at a tertiary hospital.

Paras Lakhani, Curtis P Langlotz, C. Langlotz, 2010, Journal of the American College of Radiology : JACR.

PET: a revolution in medical imaging.

Abass Alavi, Paras Lakhani, Hongming Zhuang, 2004, Radiologic clinics of North America.

Diagnostic Performance of the Visual Reading of 123I-Ioflupane SPECT Images With or Without Quantification in Patients With Movement Disorders or Dementia

Paras Lakhani, Jan Booij, P. Lakhani, 2017, The Journal of Nuclear Medicine.

Radiology reporting and communications: a look forward.

Paras Lakhani, Adam E Flanders, P. Lakhani, 2012, Neuroimaging clinics of North America.

Automated extraction of critical test values and communications from unstructured radiology reports: an analysis of 9.3 million reports from 1990 to 2011.

Paras Lakhani, Curtis P Langlotz, C. Langlotz, 2012, Radiology.