To enable quantitative imaging on these SPECT-only scanners, researchers at Yale University have used deep learning methods to estimate attenuation maps directly from SPECT emission data (Eur. J. Nucl ...

Finally, we discuss deep‐learning‐based image reconstruction techniques for medical imaging modalities such as magnetic resonance imaging (MRI), computed tomography (CT), medical ultrasound, optical ...

Amazon's Deep Java Library (DJL) is one of several implementations of the new JSR 381 standard for building machine learning applications in Java.

Image processing is the process of converting an image to a digital format and then performing various operations on it to gather useful information. Artificial Intelligence (AI) and Machine Learning ...

Machine learning approaches have formed the core of many cardiovascular image acquisition and processing algorithms that are already in routine use. Given the rapid evolution of machine learning ...

As a Medical Image Analysis Intern at Durametrix, I work on analyzing CT, MR, and SPECT images for toxicity quantification, segmentation, and multi-modal image registration. I am deeply passionate ...

Parkinson’s Disease (PD) is a kind of neurodegenerative disorder. There is an imperative need for identifying the early stage of disease as it keeps on affecting the human mid-brain. The incipient ...

Her research interests encompass biomedical signal processing, medical image processing, machine learning, and deep learning techniques. Dr. Snekhalatha has been working as an Editorial Board ...