Paras Lakhani

According to our database, Paras Lakhani authored at least 16 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs.

Paras Lakhani, J. Mongan, C. 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, G. C. A. Corradi, MS Takahashi, C. S. Workman, Maansi R. Parekh, S. I. Kamel, Joaquin Galant, A. Mas-Sanchez, E. C. Benítez, M. Sánchez-Valverde, L. Jaques, M. Panadero, M. Vidal, M. Culiañez-Casas, D. Angulo-Gonzalez, Steve G. Langer, María de la Iglesia-Vayá, George Shih

J. Digit. Imaging, February, 2023

2022

Generalization of Artificial Intelligence Models in Medical Imaging: A Case-Based Review.

Rishi Gadepally, Andrew Gomella, Eric Gingold, Paras Lakhani

CoRR, 2022

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, Archana Laroia, Sundeep M. Nayak, Maansi R. Parekh, Prasanth Prasanna, Palmi Shah, Dharshan Vummidi, Kavitha Yaddanapudi, George Shih

J. Digit. Imaging, 2020

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

Sanket Badhe, Varun Singh, Joy Li, Paras Lakhani

CoRR, 2020

2019

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

2018

Hello World Deep Learning in Medical Imaging.

Paras Lakhani, Daniel L. Gray, Carl R. Pett, Paul G. Nagy, George Shih

J. Digit. Imaging, 2018

2017

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

Paras Lakhani

J. Digit. Imaging, 2017

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

2016

PowerScribe 360 Mobile Radiologist App Review.

Raja L. Gali, Paras Lakhani

J. Digit. Imaging, 2016

2012

Automated Detection of Critical Results in Radiology Reports.

Paras Lakhani, Woojin Kim, Curtis P. Langlotz

J. Digit. Imaging, 2012

Extracting templates from radiology reports using sequence alignment.

Shengyang Wu, Curtis P. Langlotz, Paras Lakhani, Lyle H. Ungar

Int. J. Data Min. Bioinform., 2012

2011

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

2010

Is Android or iPhone the Platform for Innovation in Imaging Informatics.

George Shih, Paras Lakhani, Paul G. Nagy

J. Digit. Imaging, 2010

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

Paras Lakhani, Curtis P. Langlotz

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.

James Y. Chen, Paras Lakhani, Nabile M. Safdar, Paul G. Nagy

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.

Paras Lakhani, Elliot D. Menschik, Alberto F. Goldszal, Joseph P. Murray, Mark G. Weiner, Curtis P. Langlotz

J. Digit. Imaging, 2006