UnblurImage Releases Workflow Guidance for Enhancing AI-Generated Images

UnblurImage emphasized that the informational update is intended as workflow guidance and does not replace professional ...

AI uses animal imaging data to enhance surgical precision in humans

Heidelberg University Hospital (UKHD), and Mannheim University Medical Center (UMM) are presenting a method that enables ...

The Next Leap In Generative Imaging Moves From Prompts To Parameters

The future of visual content will belong to those who master not only the art of prompting but also the discipline of ...
IEEE

Predictive Sampling in Image Sensing for Sparse Image Processing

Abstract: In this letter, we present a pixel-level predictive sampling method for image sensing and processing to reduce the computing overhead for power-limited image sensing systems. The predictive ...
Microsoft

High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion Training

The development of machine learning for cardiac care is severely hampered by privacy restrictions on sharing real patient electrocardiogram (ECG) data. Although generative AI offers a promising ...
IEEE

FPGA-based Medical Image Processing Using Hardware-Software Co-design Approach

Abstract: This paper presents a field-programmable gate array (FPGA) based medical image processing framework using a hardware-software co-design approach for biomedical tasks such as Malaria and ...