Denoising Images with Varying Noises Using Autoencoders. - Snigdha Agarwal; Ayushi Agarwal; Maroti Deshmukh (CVIP (2), 2019)

Using Computer Vision to enhance Safety of Workforce in Manufacturing in a Post COVID World. - Prateek Khandelwal; Anuj Khandelwal; Snigdha Agarwal; Deep Thomas; Naveen Xavier; Arun Raghuraman (CoRR, 2020)

Temporal Surgical Gesture Segmentation and Classification in Multi-gesture Robotic Surgery using Fine-tuned features and Calibrated MS-TCN. - Snigdha Agarwal; Chakka Sai Pradeep; Neelam Sinha (SPCOM, 2022)

Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets. - Jia Zhao; Gefei Wang; Jingsi Ming; Zhixiang Lin; Yang Wang; Snigdha Agarwal; Aditi Agrawal; Ahmad Al-Moujahed; Alina Alam; Megan A. Albertelli; Paul Allegakoen; Thomas Ambrosi; et al. (Nat. Comput. Sci., 2022)

Intracranial Hemorrhage Detection and Category Classification Using Attention Aware Pure Convnets. - Snigdha Agarwal; Neelam Sinha (ISBI, 2023)

3D Segmentation of Unruptured Intracranial Aneurysms using Task Specific Transfer Learning and Pure Convnets. - Snigdha Agarwal; Neelam Sinha (MLSP, 2023)

Self-supervised Siamese Network Using Vision Transformer for Depth Estimation in Endoscopic Surgeries. - Snigdha Agarwal; Neelam Sinha (ICPR (12), 2024)

Regression convolutional neural network models implicate peripheral immune regulatory variants in the predisposition to Alzheimer's disease. - Easwaran Ramamurthy; Snigdha Agarwal; Noelle Toong; Heather Sestili; Irene M. Kaplow; Ziheng Chen; BaDoi N. Phan; Andreas R. Pfenning (PLoS Comput. Biol., 2024)

Investigating the impact of standard brain atlases and connectivity measures on the accuracy of ADHD detection from fMRI data using deep learning. - Snigdha Agarwal; Adarsh Raj; Anjan Chowdhury; Geetanjali Aich; Rajdeep Chatterjee; Kuntal Ghosh (Multim. Tools Appl., 2024)

LipMOOC: A Modular Synthetic MOOC for Lipreading. - Snigdha Agarwal; Vinay P. Namboodiri; C. V. Jawahar (AIED (5), 2025)

Graph Classification and Radiomics Signature for Identification of Tuberculous Meningitis. - Snigdha Agarwal; Ganaraja V. H; Neelam Sinha; Abhilasha Indoria; Netravathi M; Jitender Saini (CoRR, 2025)

Chest X-ray Classification using Deep Convolution Models on Low-resolution images with Uncertain Labels. - Snigdha Agarwal; Neelam Sinha (CoRR, 2025)