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pro vyhledávání: '"Jana, Ananya"'
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 the cases, high accuracy has been achieved, although, most of the ava
Externí odkaz:
http://arxiv.org/abs/2305.00244
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 based methods have been proposed to perform automatic tooth mesh segm
Externí odkaz:
http://arxiv.org/abs/2301.10531
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 intraoral scans. These methods require annotated 3D intraoral scans. Manua
Externí odkaz:
http://arxiv.org/abs/2209.08132
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 such as the severity of the disease, infection rate and discover importa
Externí odkaz:
http://arxiv.org/abs/2109.05087
Autor:
Jana, Ananya, Qu, Hui, Minacapelli, Carlos D., Catalano, Carolyn, Rustgi, Vinod, Metaxas, Dimitris
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 is determined by NAFLD Activity Scores (NAS)and liver fibrosis stage, w
Externí odkaz:
http://arxiv.org/abs/2103.03761
Autor:
Jana, Ananya, Qu, Hui, Rattan, Puru, Minacapelli, Carlos D., Rustgi, Vinod, Metaxas, Dimitris
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 steatohepatitis (NASH) and subsequent liver damage. The diagnosis and treatment
Externí odkaz:
http://arxiv.org/abs/2009.10687
Autor:
Gao, Liang, Zheng, Guoan, Lee, Seung Ah, Jana, Ananya, Jain, Vrinda, Oliveira, Abmael, Subhash, Hrebesh Molly, Metaxas, Dimitris
Publikováno v:
Proceedings of SPIE; March 2024, Vol. 12857 Issue: 1 p128570D-128570D-6, 1157137p
Autor:
Gao, Liang, Zheng, Guoan, Lee, Seung Ah, Jain, Vrinda, Jana, Ananya, Oliveira, Abmael H., Livecchi, Thomas T., Pierce, Mark C., Subhash, Hrebesh M.
Publikováno v:
Proceedings of SPIE; March 2024, Vol. 12857 Issue: 1 p128570G-128570G-7, 1157138p
Publikováno v:
In Parasitology International October 2017 66(5):606-614
Autor:
Jana, Ananya
Deep Learning based methods have become immensely popular in recent years. While these methods look very promising, they are not always translated to the medical images domain as-is due to the nature of biomedical images being different from the natu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa484206a12774e14ccf46b5d6287c3b