Maansi R. Parekh

According to our database, Maansi R. Parekh authored at least 2 papers between 2020 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, 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

J. Digit. Imaging, February, 2023

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