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Snigdha Agarwal
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2020 – today
- 2024
- [j3]Snigdha Agarwal, Adarsh Raj, Anjan Chowdhury, Geetanjali Aich, Rajdeep Chatterjee, Kuntal Ghosh:
Investigating the impact of standard brain atlases and connectivity measures on the accuracy of ADHD detection from fMRI data using deep learning. Multim. Tools Appl. 83(25): 67023-67057 (2024) - [j2]Easwaran Ramamurthy, Snigdha Agarwal, Noelle Toong, Heather Sestili, Irene M. Kaplow, Ziheng Chen, BaDoi N. Phan, Andreas R. Pfenning:
Regression convolutional neural network models implicate peripheral immune regulatory variants in the predisposition to Alzheimer's disease. PLoS Comput. Biol. 20(8): 1012356 (2024) - [c5]Snigdha Agarwal, Neelam Sinha:
Self-supervised Siamese Network Using Vision Transformer for Depth Estimation in Endoscopic Surgeries. ICPR (12) 2024: 332-344 - 2023
- [c4]Snigdha Agarwal, Neelam Sinha:
Intracranial Hemorrhage Detection and Category Classification Using Attention Aware Pure Convnets. ISBI 2023: 1-5 - [c3]Snigdha Agarwal, Neelam Sinha:
3D Segmentation of Unruptured Intracranial Aneurysms using Task Specific Transfer Learning and Pure Convnets. MLSP 2023: 1-6 - 2022
- [j1]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:
Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets. Nat. Comput. Sci. 2(5): 317-330 (2022) - [c2]Snigdha Agarwal, Chakka Sai Pradeep, Neelam Sinha:
Temporal Surgical Gesture Segmentation and Classification in Multi-gesture Robotic Surgery using Fine-tuned features and Calibrated MS-TCN. SPCOM 2022: 1-5 - 2020
- [i1]Prateek Khandelwal, Anuj Khandelwal, Snigdha Agarwal, Deep Thomas, Naveen Xavier, Arun Raghuraman:
Using Computer Vision to enhance Safety of Workforce in Manufacturing in a Post COVID World. CoRR abs/2005.05287 (2020)
2010 – 2019
- 2019
- [c1]Snigdha Agarwal, Ayushi Agarwal, Maroti Deshmukh:
Denoising Images with Varying Noises Using Autoencoders. CVIP (2) 2019: 3-14
Coauthor Index
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