Ananya Jana

According to our database, Ananya Jana authored at least 14 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Text to Automata Diagrams: Comparing TikZ Code Generation with Direct Image Synthesis.

Ethan Young, Zichun Wang, Aiden Taylor, Chance Jewell, Julian Myers, Satya Sri Rajiteswari Nimmagadda, Anthony White, Aniruddha Maiti, Ananya Jana

CoRR, March, 2026

Prompt-Based Caption Generation for Single-Tooth Dental Images Using Vision-Language Models.

Anastasiia Sukhanova, Aiden Taylor, Julian Myers, Zichun Wang, Kartha Veerya Jammuladinne, Satya Sri Rajiteswari Nimmagadda, Aniruddha Maiti, Ananya Jana

Proceedings of the International Conference on Semantic Computing, 2026

Generating Hierarchical JSON Representations of Scientific Sentences Using LLMs.

Satya Sri Rajiteswari Nimmagadda, Ethan Young, Niladri Sengupta, Ananya Jana, Aniruddha Maiti

Proceedings of the International Conference on Semantic Computing, 2026

2025

Convergence of Outputs When Two Large Language Models Interact in a Multi-Agentic Setup.

Aniruddha Maiti, Satya Sri Rajiteswari Nimmagadda, Kartha Veerya Jammuladinne, Niladri Sengupta, Ananya Jana

CoRR, December, 2025

Comparative Analysis of OpenAI GPT-4o and DeepSeek R1 for Scientific Text Categorization Using Prompt Engineering.

Aniruddha Maiti, Samuel Adewumi, Temesgen Alemayehu Tikure, Zichun Wang, Niladri Sengupta, Anastasiia Sukhanova, Ananya Jana

CoRR, March, 2025

Evaluating the Suitability of Different Intraoral Scan Resolutions for Deep Learning-Based Tooth Segmentation.

Daron Weekley, Jace Duckworth, Anastasiia Sukhanova, Ananya Jana

CoRR, February, 2025

2023

3D Tooth Mesh Segmentation with Simplified Mesh Cell Representation.

Ananya Jana, Hrebesh Molly Subhash, Dimitris N. Metaxas

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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 Catalano, Vinod Rustgi, Dimitris N. Metaxas

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

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 N. Metaxas

CoRR, 2022

2021

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, Dimitris N. Metaxas

CoRR, 2021

Liver Fibrosis And NAS Scoring From CT Images Using Self-Supervised Learning And Texture Encoding.

Ananya Jana, Hui Qu, Carlos D. Minacapelli, Carolyn Catalano, Vinod Rustgi, Dimitris N. Metaxas

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

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

Ananya Jana, Hui Qu, Puru Rattan, Carlos D. Minacapelli, Vinod Rustgi, Dimitris N. Metaxas

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2015

Design and Validation of an Attention Model of Web Page Users.

Ananya Jana, Samit Bhattacharya

Adv. Hum. Comput. Interact., 2015