A group of scientists led by researchers from the University of New South Wales (UNSW) in Australia has developed a novel deep-learning method for denoising outdoor electroluminescence (EL) images ...

A self-supervised deep learning model has been developed to improve the quality of dynamic fluorescence images by leveraging temporal gradients. The method enables accurate denoising without ...

Two German physicists have reimagined how to create powerful and uniform magnetic fields using compact permanent magnets. By ...

Background Diagnosing the presence of metastasis of pancreatic cancer is pivotal for patient management and treatment, with ...

Background: ICANS is a complication of CAR T-cell therapy, yet risk factors and quantitative diagnostic criteria, particularly neuroimaging criteria, remain incompletely characterized. We implemented ...

image: (From left) Samuel Daramola and ... Advanced deep learning tools like LSTM-SAM could become essential in helping coastal communities prepare for the new normal, opening the door to smarter, ...

Exploring deep learning models for medical imaging. ... pipelines distortion-correction bids motion-correction diffusion-mri denoising-images. Updated Apr 28, 2025; Python; ... medicine graphics ...

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical ...