Paras Lakhani - RankMe

19 papers Journal 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Multi-agent Large Language Model Framework to Automatically Assess Performance of a Clinical AI Triage Tool. CoRR Adam E. Flanders, Yifan Peng, Luciano M. Prevedello, Robyn L. Ball, Errol Colak, Prahlad Menon, George Shih, Hui-Ming Lin, Paras Lakhani
2025	J	`jnl`	Correction: Checklist for Reproducibility of Deep Learning in Medical Imaging. J. Imaging Inform. Medicine Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile M. Safdar, Linda Moy, Felipe Kitamura, Amilcare Gentili, Paras Lakhani, Nina Kottler, Safwan S. Halabi, Joseph H. Yacoub, Yuankai Hou, Khaled Younis, Bradley J. Erickson, Elizabeth A. Krupinski, Shahriar Faghani
2024	J	`jnl`	Checklist for Reproducibility of Deep Learning in Medical Imaging. J. Imaging Inform. Medicine Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile M. Safdar, Linda Moy, Felipe Kitamura, Amilcare Gentili, Paras Lakhani, Nina Kottler, Safwan S. Halabi, Joseph H. Yacoub, Yuankai Hou, Khaled Younis, Bradley J. Erickson, Elizabeth A. Krupinski, Shahriar Faghani
2023	J	`jnl`	The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs. J. Digit. Imaging 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, Suely Fazio 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
2022	J	`jnl`	Generalization of Artificial Intelligence Models in Medical Imaging: A Case-Based Review. CoRR Rishi Gadepally, Andrew Gomella, Eric Gingold, Paras Lakhani
2020	J	`jnl`	Automated Segmentation of Vertebrae on Lateral Chest Radiography Using Deep Learning. CoRR Sanket Badhe, Varun Singh, Joy Li, Paras Lakhani
2020	J	`jnl`	Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset. J. Digit. Imaging 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
2019	J	`jnl`	Assessment of Critical Feeding Tube Malpositions on Radiographs Using Deep Learning. J. Digit. Imaging Varun Singh, Varun Danda, Richard J. T. Gorniak, Adam E. Flanders, Paras Lakhani
2018	J	`jnl`	Hello World Deep Learning in Medical Imaging. J. Digit. Imaging Paras Lakhani, Daniel L. Gray, Carl R. Pett, Paul G. Nagy, George Shih
2017	J	`jnl`	Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks. CoRR Vishal Desai, Adam E. Flanders, Paras Lakhani
2017	J	`jnl`	Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities. J. Digit. Imaging Paras Lakhani
2016	J	`jnl`	PowerScribe 360 Mobile Radiologist App Review. J. Digit. Imaging Raja L. Gali, Paras Lakhani
2012	J	`jnl`	Automated Detection of Critical Results in Radiology Reports. J. Digit. Imaging Paras Lakhani, Woojin Kim, Curtis P. Langlotz
2012	J	`jnl`	Extracting templates from radiology reports using sequence alignment. Int. J. Data Min. Bioinform. Shengyang Wu, Curtis P. Langlotz, Paras Lakhani, Lyle H. Ungar
2011	J	`jnl`	Computer Input Devices: Neutral Party or Source of Significant Error in Manual Lesion Segmentation? J. Digit. Imaging James Y. Chen, F. Jacob Seagull, Paul G. Nagy, Paras Lakhani, Elias R. Melhem, Eliot L. Siegel, Nabile M. Safdar
2010	J	`jnl`	Automated Detection of Radiology Reports that Document Non-routine Communication of Critical or Significant Results. J. Digit. Imaging Paras Lakhani, Curtis P. Langlotz
2010	J	`jnl`	Is Android or iPhone the Platform for Innovation in Imaging Informatics. J. Digit. Imaging George Shih, Paras Lakhani, Paul G. Nagy
2009	J	`jnl`	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 James Y. Chen, Paras Lakhani, Nabile M. Safdar, Paul G. Nagy
2006	J	`jnl`	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 Paras Lakhani, Elliot D. Menschik, Alberto F. Goldszal, Joseph P. Murray, Mark G. Weiner, Curtis P. Langlotz