4 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT
Saurav Sengupta, Donald E. Brown
Deep learning for histopathology has been successfully used for disease classification, image segmentation and more. However, combining image and text modalities using current stat…
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers
Saurav Sengupta, Donald E. Brown
Deep learning for histopathology has been successfully used for disease classification, image segmentation and more. However, combining image and text modalities using current stat…
Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C
Sihang Jiang, Johanna Loomba, Suchetha Sharma +1
It is shown that various symptoms could remain in the stage of post-acute sequelae of SARS-CoV-2 infection (PASC), otherwise known as Long COVID. A number of COVID patients suffer…