Ananya Jana

Assistant Professor, Computer Science, Marshall University

Joined

October 2021

Names

Ananya Jana (Preferred)

Emails

****@scarletmail.rutgers.edu (Confirmed)

****@gmail.com (Confirmed)

****@marshall.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Assistant Professor

Computer Science, Marshall University (marshall.edu)

2024 – Present

Assistant Professor

Computer Science, Alvernia University (alvernia.edu)

2023 – 2024

PhD student

Rutgers University (rutgers.edu)

2017 – 2023

MS student

Indian Institute of Technology Guwahati (iitg.ac.in)

2010 – 2012

Advisors, Relations & Conflicts

Coauthor

Hui Qu

2019 – Present

PhD Advisor

Dimitris Metaxas

2018 – Present

Expertise

Computer Vision

Present

Deep Learning

Present

Medical Image Analysis

Present

Publications

Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data
Ananya Jana, Carlos D Minacapelli, Dimitris N. Metaxas, Vinod K Rustgi
- SIPAIM 2021
- Readers: Everyone
Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encoding
Ananya Jana, Hui Qu, Carlos D Minacapelli, Carolyn Catalano, Dimitris N. Metaxas, Vinod K Rustgi
- IEEE ISBI 2021
- Readers: Everyone
Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data
Ananya Jana, Hui Qu, Puru Rattan, Carlos D Minacapelli, Vinod K Rustgi, Dimitris N. Metaxas
- IEEE BIBE 2020
- Readers: Everyone
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, Dimitris N. Metaxas, Hrebesh Molly Subhash
- SIPAIM 2022
- Readers: Everyone
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
- IEEE EMBC 2023
- Readers: Everyone
3D Tooth Mesh Segmentation with Simplified Mesh Cell Representation
Ananya Jana, Hrebesh Molly Subhash, Dimitris N. Metaxas
- IEEE ISBI 2023
- Readers: Everyone
Scale Aware Multi-Instance Learning for Early Prognosis of Subjects at Risk of Developing Hepatocellular Carcinoma
Ananya Jana, Ramanathan Arunachalam, Carlos D Minacapelli, Kaitlyn Catalano, Carlos Joaquin Catalano, Vinod K Rustgi, Dimitris N. Metaxas
- 16 Dec 2021 (modified: 16 May 2023)
- Submitted to MIDL 2022
- Readers: Everyone

Ananya Jana

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data

Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encoding

Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data

Automatic Tooth Segmentation from 3D Dental Model using Deep Learning: A Quantitative Analysis of what can be learnt from a Single 3D Dental Model

A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans

3D Tooth Mesh Segmentation with Simplified Mesh Cell Representation

Scale Aware Multi-Instance Learning for Early Prognosis of Subjects at Risk of Developing Hepatocellular Carcinoma

Co-Authors