1 citations · 3 across the 6 of their papers we have counts for
7 papers
Evaluating the Suitability of Different Intraoral Scan Resolutions for Deep Learning-Based Tooth Segmentation
Daron Weekley, Jace Duckworth, Anastasiia Sukhanova +1
Intraoral scans are widely used in digital dentistry for tasks such as dental restoration, treatment planning, and orthodontic procedures. These scans contain detailed topological…
A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans
Ananya Jana, Aniruddha Maiti, Dimitris N. Metaxas
Tooth segmentation from intraoral scans is a crucial part of digital dentistry. Many Deep Learning based tooth segmentation algorithms have been developed for this task. In most of…
3D Tooth Mesh Segmentation with Simplified Mesh Cell Representation
Ananya Jana, Hrebesh Molly Subhash, Dimitris N. Metaxas
Manual tooth segmentation of 3D tooth meshes is tedious and there is variations among dentists. %Manual tooth annotation of 3D tooth meshes is a tedious task. Several deep learning…
Automatic Tooth Segmentation from 3D Dental Model using Deep Learning: A Quantitative Analysis of what can be learnt from a Single 3D Dental Model
Ananya Jana, Hrebesh Molly Subhash, Dimitris Metaxas
3D tooth segmentation is an important task for digital orthodontics. Several Deep Learning methods have been proposed for automatic tooth segmentation from 3D dental models or intr…
Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data
Ananya Jana, Carlos D. Minacapelli, Vinod Rustgi +1
The COVID-19 corona virus has claimed 4.1 million lives, as of July 24, 2021. A variety of machine learning models have been applied to related data to predict important factors su…
Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encoding
Ananya Jana, Hui Qu, Carlos D. Minacapelli +3
Non-alcoholic fatty liver disease (NAFLD) is one of the most common causes of chronic liver diseases (CLD) which can progress to liver cancer. The severity and treatment of NAFLD i…
Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data
Ananya Jana, Hui Qu, Puru Rattan +3
Non-Alcoholic Fatty Liver Disease (NAFLD) is becoming increasingly prevalent in the world population. Without diagnosis at the right time, NAFLD can lead to non-alcoholic steatohep…