Latest AI and machine learning research in psoriasis for healthcare professionals.
High-speed quantitative phase imaging enables non-intrusive visualization of transient compressible ...
Scaling generative inverse and forward rendering to real-world scenarios is bottlenecked by the limi...
We present SGS-Intrinsic, an indoor inverse rendering framework that works well for sparse-view imag...
Accurately modeling how real-world materials reflect light remains a core challenge in inverse rende...
Deformable image registration plays a fundamental role in medical image analysis by enabling spatial...
Brain encoding and decoding aims to understand the relationship between external stimuli and brain a...
Objective Aiming at the core problems prevalent in biomedical research, including the "translational...
Small airways are the primary sites of airflow obstruction in chronic obstructive pulmonary disease....
De novo peptide design methods traditionally couple generation to 3D structure prediction, limiting ...
This paper introduces a novel variational Bayesian method that integrates Tucker decomposition for e...
Designing functional peptides with specific structural and biochemical properties is critical for ap...
Time-of-Flight non-line-of-sight (ToF NLOS) imaging techniques provide state-of-the-art reconstructi...
Smart city research envisions a future in which data-driven solutions and sustainable infrastructure...
Magnetoencephalography (MEG) and electroencephalography (EEG) source imaging requires solving an ill...
PDE foundation models are typically pretrained on large, diverse corpora of PDE datasets and can be ...
Diffusion models have gained prominence as powerful generative tools for solving inverse problems du...
Volume denoising is a foundational problem in computational imaging, as many 3D imaging inverse prob...
Tagged MRI enables tracking internal tissue motion non-invasively. It encodes motion by modulating a...
Psoriasis affects over 125 million people worldwide, yet the mechanistic understanding of keratinocy...
We consider the problem of sampling from a posterior distribution arising in Bayesian inverse proble...
The choice of prior is central to solving ill-posed imaging inverse problems, making it essential to...