1 code implementation • 29 Apr 2023 • Ananya Jana, Aniruddha Maiti, Dimitris N. Metaxas
Tooth segmentation from intraoral scans is a crucial part of digital dentistry.
1 code implementation • 25 Jan 2023 • Ananya Jana, Hrebesh Molly Subhash, Dimitris N. Metaxas
Summarizing of the mesh cell/triangle in this manner imposes an implicit structural constraint and makes it difficult to work with multiple resolutions which is done in many point cloud based deep learning algorithms.
1 code implementation • 16 Sep 2022 • Ananya Jana, Hrebesh Molly Subhash, Dimitris Metaxas
We conclude that the segmentation methods can learn a great deal of information from a single 3D tooth point cloud scan under suitable conditions e. g. data augmentation.
1 code implementation • 10 Sep 2021 • Ananya Jana, Carlos D. Minacapelli, Vinod Rustgi, Dimitris Metaxas
We explore one of the most recent techniques called symbolic metamodeling to find the mathematical expression of the machine learning models for COVID-19.
1 code implementation • 5 Mar 2021 • Ananya Jana, Hui Qu, Carlos D. Minacapelli, Carolyn Catalano, Vinod Rustgi, Dimitris Metaxas
The severity and treatment of NAFLD is determined by NAFLD Activity Scores (NAS)and liver fibrosis stage, which are usually obtained from liver biopsy.
1 code implementation • 22 Sep 2020 • Ananya Jana, Hui Qu, Puru Rattan, Carlos D. Minacapelli, Vinod Rustgi, Dimitris Metaxas
In this work, we propose a novel method to automatically predict NAS score and fibrosis stage from CT data that is non-invasive and inexpensive to obtain compared with liver biopsy.