Ayantika Das

According to our database1, Ayantika Das authored at least 12 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Align-cDAE: Alzheimer's Disease Progression Modeling with Attention-Aligned Conditional Diffusion Auto-Encoder.
CoRR, March, 2026

Diffusion Autoencoder for Unsupervised Artifact Restoration in Handheld Fundus Images.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025
AD-DAE: Unsupervised Modeling of Longitudinal Alzheimer's Disease Progression with Diffusion Auto-Encoder.
CoRR, November, 2025

PosDiffAE: Position-aware Diffusion Auto-encoder For High-Resolution Brain Tissue Classification Incorporating Artifact Restoration.
CoRR, July, 2025

AutoDPS: An unsupervised diffusion model based method for multiple degradation removal in MRI.
Comput. Methods Programs Biomed., 2025

UEM24 at the NTCIR-18 MedNLP-CHAT: A Machine LearningApproach to Multilingual Healthcare Risk Prediction.
Proceedings of the 18th NTCIR Conference on Evaluation of Information Access Technologies, 2025

SMatt-DINO: Spatially Aware Masked Attention Network for High Resolution Brain Image Classification.
Proceedings of the Medical Image Understanding and Analysis - 29th Annual Conference, 2025

Medframealign: 3D Histological Reconstructions Using Video Frame Interpolation Techniques.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
Ano-swinMAE: Unsupervised Anomaly Detection in Brain MRI using swin Transformer based Masked Auto Encoder.
Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023
Diffusion Model Based Knee Cartilage Segmentation in MRI.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

2022
A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI.
Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022

Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022


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