Paras Lakhani

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 8

Top Topics

Weakly Supervised

Medical Imaging

Convolutional Neural Networks

Top Venues

J. Digit. Imaging

Publications

Paras Lakhani, J. Mongan, C. Singhal, Q. Zhou, Katherine P. Andriole, William F. Auffermann, Prasanth Prasanna, T. 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
The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs. J. Digit. Imaging 36 (1) (2023)
Rishi Gadepally, Andrew Gomella, Eric Gingold, Paras Lakhani
Generalization of Artificial Intelligence Models in Medical Imaging: A Case-Based Review. CoRR (2022)
Sanket Badhe, Varun Singh, Joy Li, Paras Lakhani
Automated Segmentation of Vertebrae on Lateral Chest Radiography Using Deep Learning. CoRR (2020)
Varun Singh, Varun Danda, Richard J. T. Gorniak, Adam E. Flanders, Paras Lakhani
Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning. J. Digit. Imaging 32 (4) (2019)
Paras Lakhani, Daniel L. Gray, Carl R. Pett, Paul G. Nagy, George Shih
Hello World Deep Learning in Medical Imaging. J. Digit. Imaging 31 (3) (2018)
Vishal Desai, Adam E. Flanders, Paras Lakhani
Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks. CoRR (2017)
Paras Lakhani
Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities. J. Digit. Imaging 30 (4) (2017)
Raja L. Gali, Paras Lakhani
PowerScribe 360 Mobile Radiologist App Review. J. Digit. Imaging 29 (5) (2016)
Shengyang Wu, Curtis P. Langlotz, Paras Lakhani, Lyle H. Ungar
Extracting templates from radiology reports using sequence alignment. Int. J. Data Min. Bioinform. 6 (6) (2012)
Paras Lakhani, Woojin Kim, Curtis P. Langlotz
Automated Detection of Critical Results in Radiology Reports. J. Digit. Imaging 25 (1) (2012)
James Y. Chen, F. Jacob Seagull, Paul G. Nagy, Paras Lakhani, Elias R. Melhem, Eliot L. Siegel, Nabile M. Safdar
Computer Input Devices: Neutral Party or Source of Significant Error in Manual Lesion Segmentation? J. Digit. Imaging 24 (1) (2011)
Paras Lakhani, Curtis P. Langlotz
Automated Detection of Radiology Reports that Document Non-routine Communication of Critical or Significant Results. J. Digit. Imaging 23 (6) (2010)
George Shih, Paras Lakhani, Paul G. Nagy
Is Android or iPhone the Platform for Innovation in Imaging Informatics. J. Digit. Imaging 23 (1) (2010)
James Y. Chen, Paras Lakhani, Nabile M. Safdar, Paul G. Nagy
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 22 (6) (2009)
Paras Lakhani, Elliot D. Menschik, Alberto F. Goldszal, Joseph P. Murray, Mark G. Weiner, Curtis P. Langlotz
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 19 (1) (2006)