4 citations · 6 across the 5 of their papers we have counts for
5 papers
ECG-SleepNet: Deep Learning-Based Comprehensive Sleep Stage Classification Using ECG Signals
Poorya Aghaomidi, Ge Wang
Accurate sleep stage classification is essential for understanding sleep disorders and improving overall health. This study proposes a novel three-stage approach for sleep stage cl…
Enhancing Low Dose Computed Tomography Images Using Consistency Training Techniques
Mahmut S. Gokmen, Jie Zhang, Ge Wang +2
Diffusion models have significant impact on wide range of generative tasks, especially on image inpainting and restoration. Although the improvements on aiming for decreasing numbe…
Hyper-Compression: Model Compression via Hyperfunction
Fenglei Fan, Juntong Fan, Dayang Wang +5
The rapid growth of large models' size has far outpaced that of computing resources. To bridge this gap, encouraged by the parsimonious relationship between genotype and phenotype…
High Noise Scheduling is a Must
Mahmut S. Gokmen, Cody Bumgardner, Jie Zhang +2
Consistency models possess high capabilities for image generation, advancing sampling steps to a single step through their advanced techniques. Current advancements move one step f…
Latent Diffusion Model for Medical Image Standardization and Enhancement
Md Selim, Jie Zhang, Faraneh Fathi +4
Computed tomography (CT) serves as an effective tool for lung cancer screening, diagnosis, treatment, and prognosis, providing a rich source of features to quantify temporal and sp…