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Paras Lakhani
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2020 – today
- 2023
- [j13]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, 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): 365-372 (2023) - 2022
- [i3]Rishi Gadepally, Andrew Gomella, Eric Gingold, Paras Lakhani:
Generalization of Artificial Intelligence Models in Medical Imaging: A Case-Based Review. CoRR abs/2211.13230 (2022) - 2020
- [j12]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:
Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset. J. Digit. Imaging 33(2): 490-496 (2020) - [i2]Sanket Badhe, Varun Singh, Joy Li, Paras Lakhani:
Automated Segmentation of Vertebrae on Lateral Chest Radiography Using Deep Learning. CoRR abs/2001.01277 (2020)
2010 – 2019
- 2019
- [j11]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): 651-655 (2019) - 2018
- [j10]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): 283-289 (2018) - 2017
- [j9]Paras Lakhani:
Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities. J. Digit. Imaging 30(4): 460-468 (2017) - [i1]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 abs/1710.03823 (2017) - 2016
- [j8]Raja L. Gali, Paras Lakhani:
PowerScribe 360 Mobile Radiologist App Review. J. Digit. Imaging 29(5): 526-529 (2016) - 2012
- [j7]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): 633-650 (2012) - [j6]Paras Lakhani, Woojin Kim, Curtis P. Langlotz:
Automated Detection of Critical Results in Radiology Reports. J. Digit. Imaging 25(1): 30-36 (2012) - 2011
- [j5]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): 135-141 (2011) - 2010
- [j4]George Shih, Paras Lakhani, Paul G. Nagy:
Is Android or iPhone the Platform for Innovation in Imaging Informatics. J. Digit. Imaging 23(1): 2-7 (2010) - [j3]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): 647-657 (2010)
2000 – 2009
- 2009
- [j2]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): 560-561 (2009) - 2006
- [j1]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): 52-68 (2006)
Coauthor Index
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