Latest AI and machine learning research in psoriasis for healthcare professionals.
Recent state-of-the-art algorithms in photometric stereo rely on neural networks and operate eithe...
Building on our previous work introducing Fredholm Neural Networks (Fredholm NNs/ FNNs) for solvin...
Differentiable programming that enables automatic differentiation through simulation pipelines has...
Recent methods have shown that pre-trained diffusion models can be fine-tuned to enable generative...
Fourier ptychography (FP) is a powerful light-based synthetic aperture imaging technique that allo...
The demand for precisely tailorable mechanical parameters of energy-absorbing structures is emerging...
Inline holographic imaging presents an ill-posed inverse problem of reconstructing objects' comple...
Spectrum prediction and inverse design of metasurfaces based on deep learning have been a hot resear...
Point cloud semantic segmentation can enhance the understanding of the production environment and is...
The application of machine learning methods to the groundwater pollution inversion problem has becom...
INTRODUCTION: This randomized, prospective study (MATCH) was designed to assess the clinical utility...
Vision-language models (VLMs) excel at descriptive tasks, but whether they truly understand scenes...
We introduce MRF-DiPh, a novel physics informed denoising diffusion approach for multiparametric t...
The widespread application of industrial robots in fields such as cutting and welding has imposed ...
Psoriasis (PsO) severity scoring is important for clinical trials but is hindered by inter-rater v...
Metasurfaces are ultra-thin optical elements composed of engineered sub-wavelength structures that...
Solving Electromagnetic Inverse Scattering Problems (EISP) is fundamental in applications such as ...
Scene text removal (STR) aims to erase textual elements from images. It was originally intended fo...
This work addresses image restoration tasks through the lens of inverse problems using unpaired da...
The convergence of robotics and virtual reality (VR) has enabled safer and more efficient workflow...
The success of diffusion models has driven interest in performing conditional sampling via trainin...