Snigdha Agarwal
According to our database1,
Snigdha Agarwal
authored at least 9 papers
between 2019 and 2024.
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Bibliography
2024
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., July, 2024
Regression convolutional neural network models implicate peripheral immune regulatory variants in the predisposition to Alzheimer's disease.
PLoS Comput. Biol., 2024
Self-supervised Siamese Network Using Vision Transformer for Depth Estimation in Endoscopic Surgeries.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
2023
3D Segmentation of Unruptured Intracranial Aneurysms using Task Specific Transfer Learning and Pure Convnets.
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.
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.
Nat. Comput. Sci., 2022
Temporal Surgical Gesture Segmentation and Classification in Multi-gesture Robotic Surgery using Fine-tuned features and Calibrated MS-TCN.
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.
CoRR, 2020
2019
Proceedings of the Computer Vision and Image Processing - 4th International Conference, 2019