Ninad Aithal

#212 VAL

CDS, IISc

Bengaluru 560012

I am a traveler at heart, drawn to the excitement and curiosity that research brings. My research areas span computer vision and medical imaging, where I explore the intersection of technology and human health.

Alongside my research, I am a part-time web developer, focusing on creating innovative platforms that bridge gaps in scientific communication. NeuroDataHub

Currently, I am expanding my knowledge in foundation modeling for large language models (LLMs) and their applications in medical image analysis, aiming to contribute to the evolving landscape of AI in healthcare.

news

May 02, 2025	Neuro Imaging Navigation and Datahub goes live !!
Apr 02, 2025	Catch my interview for IITM-BS Degree Programme !
Feb 13, 2025	Hourned with Gold Medal
Feb 10, 2025	Our work Persistent Homology for MCI Classification: A Comparative Analysis between Graph and Vietoris-Rips Filtrations has been accepted at Frontiers in Neuroscience 🧠.
Jan 07, 2025	Invited Talk at National Workshop on Topology for Data Analysis

latest posts

May 27, 2025	Multi-Site MRI data Harmonization
May 10, 2025	Understanding Linear Algebra - Part 3
May 09, 2025	Understanding Linear Algebra - Part 2

selected publications

Mci detection using fmri time series embeddings of recurrence plots

Ninad Aithal, Chakka Sai Pradeep, and Neelam Sinha

In 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024
Analyzing Brain Tumor Connectomics Using Graphs and Persistent Homology

Debanjali Bhattacharya, Ninad Aithal, Manish Jayswal, and 1 more author

In International Workshop on Topology-and Graph-Informed Imaging Informatics, 2024
Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment

Ninad Aithal, Debanjali Bhattacharya, Neelam Sinha, and 1 more author

In International Conference on Pattern Recognition, 2025