Paras Lakhani
Thomas Jefferson University
H-index: 21
North America-United States
Top articles of Paras Lakhani
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Checklist for Reproducibility of Deep Learning in Medical Imaging | Mana Moassefi Yashbir Singh Gian Marco Conte Bardia Khosravi Pouria Rouzrokh | 2024/3/14 | |
The 2021 SIIM-FISABIO-RSNA machine learning COVID-19 challenge: Annotation and standard exam classification of COVID-19 chest radiographs | Journal of Digital Imaging | Paras Lakhani John Mongan Chinmay Singhal Quan Zhou Katherine P Andriole | 2023/2 |
Generalization of Artificial Intelligence Models in Medical Imaging: A Case-Based Review | arXiv preprint arXiv:2211.13230 | Rishi Gadepally Andrew Gomella Eric Gingold Paras Lakhani | 2022/11/15 |
Frequency of statin prescription among individuals with coronary artery calcifications detected through lung cancer screening | American Journal of Medical Quality | Amry Majeed Brooke Ruane Christine S Shusted Melissa Austin Khulkar Mirzozoda | 2022/9/1 |
Using deep learning segmentation for endotracheal tube position assessment | Journal of Thoracic Imaging | William G Schultheis Paras Lakhani | 2022/3/1 |
Interstitial lung abnormalities and pulmonary fibrosis in COVID-19 patients: a short-term follow-up case series | Clinical imaging | Aishwarya Gulati Paras Lakhani | 2021/9/1 |
Automated segmentation of vertebrae on lateral chest radiography using deep learning | arXiv preprint arXiv:2001.01277 | Sanket Badhe Varun Singh Joy Li Paras Lakhani | 2020/1/5 |
Performance of a severity score on admission chest radiograph in predicting clinical outcomes in hospitalized patients with coronavirus disease (COVID-19) | American Journal of Roentgenology | Russell A Reeves Corbin Pomeranz Andrew A Gomella Aishwarya Gulati Brandon Metra | 2020 |
Endotracheal tube position assessment on chest radiographs using deep learning | Radiology: Artificial Intelligence | Paras Lakhani Adam Flanders Richard Gorniak | 2020/11/18 |
Crowdsourcing pneumothorax annotations using machine learning annotations on the NIH chest X-ray dataset | Journal of digital imaging | Ross W Filice Anouk Stein Carol C Wu Veronica A Arteaga Stephen Borstelmann | 2020/4 |
3: 00 PM Abstract No. 290 Automated segmentation of peripherally inserted central catheters on chest radiography for positioning assessment using deep learning | Journal of Vascular and Interventional Radiology | A Hage P Lakhani | 2020/3/1 |
The importance of image resolution in building deep learning models for medical imaging | Radiology: Artificial Intelligence | Paras Lakhani | 2020/1/22 |
