4 papers
FHRFormer: A Self-Supervised Masked Transformer Framework for Fetal Heart Rate Time-Series Inpainting and Forecasting
Kjersti Engan, Neel Kanwal, Anita Yeconia +4
Approximately 10% of newborns require assistance to initiate breathing at birth, and around 5% need ventilation support. Fetal heart rate (FHR) monitoring plays a crucial role in a…
FHRFormer: A Self-supervised Transformer Approach for Fetal Heart Rate Inpainting and Forecasting
Kjersti Engan, Neel Kanwal, Anita Yeconia +4
Approximately 10\% of newborns require assistance to initiate breathing at birth, and around 5\% need ventilation support. Fetal heart rate (FHR) monitoring plays a crucial role in…
Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series Prediction
Syed Tahir Hussain Rizvi, Neel Kanwal, Muddasar Naeem
Time Series Forecasting (TSF) is an important application across many fields. There is a debate about whether Transformers, despite being good at understanding long sequences, stru…
PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds
Yuandou Wang, Neel Kanwal, Kjersti Engan +3
Running deep neural networks for large medical images is a resource-hungry and time-consuming task with centralized computing. Outsourcing such medical image processing tasks to hy…