2 papers
eess.SP2024
Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction
Sayeri Lala, Hanlin Goh, Christopher Sandino
Sleep staging is a clinically important task for diagnosing various sleep disorders, but remains challenging to deploy at scale because it because it is both labor-intensive and ti…
eess.IV2022
GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction
Batu Ozturkler, Arda Sahiner, Tolga Ergen +6
Unrolled neural networks have recently achieved state-of-the-art accelerated MRI reconstruction. These networks unroll iterative optimization algorithms by alternating between phys…