8 citations · 12 across the 8 of their papers we have counts for
3 papers · 1 filter
Combining Residual U-Net and Data Augmentation for Dense Temporal Segmentation of Spike Wave Discharges in Single-Channel EEG
Saurav Sengupta, Scott Kilianski, Suchetha Sharma +4
Manual annotation of spike-wave discharges (SWDs), the electrographic hallmark of absence seizures, is labor-intensive for long-term electroencephalography (EEG) monitoring studies…
Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and Alignment
Nazanin Moradinasab, Saurav Sengupta, Jiebei Liu +2
Healthcare relies on multiple types of data, such as medical images, genetic information, and clinical records, to improve diagnosis and treatment. However, missing data is a commo…
Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid
Saurav Sengupta, Johanna Loomba, Suchetha Sharma +5
Post-acute sequelae of SARS-CoV-2 infection (PASC) or Long COVID is an emerging medical condition that has been observed in several patients with a positive diagnosis for COVID-19.…