Snigdha Agarwal

According to our database, Snigdha Agarwal authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Chest X-ray Classification using Deep Convolution Models on Low-resolution images with Uncertain Labels.

Snigdha Agarwal, Neelam Sinha

CoRR, April, 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, April, 2025

LipMOOC: A Modular Synthetic MOOC for Lipreading.

Snigdha Agarwal, Vinay P. Namboodiri, C. V. Jawahar

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

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., July, 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

Self-supervised Siamese Network Using Vision Transformer for Depth Estimation in Endoscopic Surgeries.

Snigdha Agarwal, Neelam Sinha

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

3D Segmentation of Unruptured Intracranial Aneurysms using Task Specific Transfer Learning and Pure Convnets.

Snigdha Agarwal, Neelam Sinha

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Intracranial Hemorrhage Detection and Category Classification Using Attention Aware Pure Convnets.

Snigdha Agarwal, Neelam Sinha

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

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, Jane Antony, Steven Artandi, Fabienne Aujard, Kyle Awayan, Ankit Baghel, Isaac Bakerman, Trygve E. Bakken, Jalal Baruni, Philip Beachy, Biter Bilen, Olga B. Botvinnik, Scott D. Boyd, Deviana Burhan, Kerriann M. Casey, Charles Chan, Charles A. Chang, Stephen Chang, Ming Chen, Michael F. Clarke, Sheela Crasta, Rebecca Culver, Jessica D'Addabbo, Spyros Darmanis, Roozbeh Dehghannasiri, Song-Lin Ding, Connor V. Duffy, Jacques Epelbaum, F. Hernán Espinoza, Camille Ezran, Jean Farup, James E. Ferrell Jr, Hannah K. Frank, Margaret Fuller, Astrid Gillich, Elias Godoy, Dita Gratzinger, Lisbeth A. Guethlein, Yan Hang, Kazuteru Hasegawa, Rebecca D. Hodge, Malachia Hoover, Franklin W. Huang, Kerwyn Casey Huang, Shelly Huynh, Taichi Isobe, Carly Israel, Sori Jang, Qiuyu Jing, Robert C. Jones, Jengmin Kang, Caitlin J. Karanewsky, Jim Karkanias, Justus Kebschull, Aaron Kershner, Lily Kim, Seung K. Kim, E. Christopher Kirk, Winston Koh, Silvana Konermann, William Kong, Mark A. Krasnow, Christin Kuo, Corinne Lautier, Song Eun Lee, Ed S. Lein, Rebecca Lewis, Peng Li, Shengda Lin, Shixuan Liu, Yin Liu, Gabriel Loeb, Jonathan Z. Long, Wan-Jin Lu, Katherine Lucot, Liqun Luo, Aaron McGeever, Ross Metzger, Jingsi Ming, Thomas J. Montine, Antoine de Morree, Maurizio Morri, Karim Mrouj, Shravani Mukherjee, Ahmad Nabhan, Saba Nafees, Norma Neff, Patrick Neuhöfer, Patricia Nguyen, Jennifer Okamoto, Julia Eve Olivieri, Youcef Ouadah, Honor Paine, Peter Parham, Jozeph L. Pendleton, Lolita Penland, Martine Perret, Angela Oliveira Pisco, Zhen Qi, Stephen R. Quake, Ute Radespiel, Thomas A. Rando, Hajanirina Noëline Ravelonjanahary, Andriamahery Razafindrakoto, Julia Salzman, Nicholas Schaum, Robert Schopler, Bronwyn Scott, Liza Shapiro, Hosu Sin, Rahul Sinha, Rene Sit, Geoff Stanley, Lubert Stryer, Varun Ramanan Subramaniam, Aditi Swarup, Weilun Tan, Alexander Tarashansky, Aris Taychameekiatchai, Jérémy Terrien, Kyle J. Travaglini, Andoni Urtasun, Sivakamasundari, Avin Veerakumar, Venkata Naga Pranathi Vemuri, Jean-Michel Verdier, Iwijn De Vlaminck, Douglas Vollrath, Bo Wang, Bruce Wang, Gefei Wang, Michael F. Z. Wang, Sheng Wang, James Webber, Hannah Weinstein, Irving L. Weissman, Amanda L. Wiggenhorn, Cathy V. Williams, Patricia Wright, Albert Y. Wu, Angela Ruohao Wu, Tony Wyss-Coray, Bao Xiang, Jia Yan, Can Yang, Jinxurong Yang, Anne D. Yoder, Brian Yu, Andrea R. Yung, Yue Zhang, Jia Zhao, Zicheng Zhao

Nat. Comput. Sci., 2022

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

Proceedings of the IEEE International Conference on Signal Processing and Communications, 2022

2020

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

2019

Denoising Images with Varying Noises Using Autoencoders.

Snigdha Agarwal, Ayushi Agarwal, Maroti Deshmukh

Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019