Dermatology

Psoriasis

Latest AI and machine learning research in psoriasis for healthcare professionals.

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Dermatology Subcategories: Atopy Psoriasis
Showing 631-651 of 2,970 articles
A Machine Learning and Finite Element Framework for Inverse Elliptic PDEs via Dirichlet-to-Neumann Mapping

Inverse problems for partial differential equations (PDEs) are crucial in numerous applications su...

3D Gaussian Inverse Rendering with Approximated Global Illumination

3D Gaussian Splatting shows great potential in reconstructing photo-realistic 3D scenes. However, ...

g-Distance: On the comparison of model and human heterogeneity.

Models are often evaluated when their behavior is at its closest to a single, sometimes averaged, se...

Apr 2025 40208708
Learning Coordinated Bimanual Manipulation Policies using State Diffusion and Inverse Dynamics Models

When performing tasks like laundry, humans naturally coordinate both hands to manipulate objects a...

Scalable heliostat surface predictions from focal spots: Sim-to-Real transfer of inverse Deep Learning Raytracing

Concentrating Solar Power (CSP) plants are a key technology in the transition toward sustainable e...

Locally Orderless Images for Optimization in Differentiable Rendering

Problems in differentiable rendering often involve optimizing scene parameters that cause motion i...

Double Blind Imaging with Generative Modeling

Blind inverse problems in imaging arise from uncertainties in the system used to collect (noisy) m...

TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models

Federated learning (FL) for time series forecasting (TSF) enables clients with privacy-sensitive t...

TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering

Inverse rendering aims to recover scene geometry, material properties, and lighting from multi-vie...

Graph-CNNs for RF Imaging: Learning the Electric Field Integral Equations

Radio-Frequency (RF) imaging concerns the digital recreation of the surfaces of scene objects base...

LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization

Text-to-image latent diffusion models (LDMs) have recently emerged as powerful generative models w...

InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences

Plug-and-play diffusion priors (PnPDP) have emerged as a promising research direction for solving ...

GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling

We present GroomLight, a novel method for relightable hair appearance modeling from multi-view ima...

Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes

We propose a diffusion-based inverse rendering framework that decomposes a single RGB image into g...

A deep learning approach to inverse medium scattering: Learning regularizers from a direct imaging method

This paper aims to solve numerically the two-dimensional inverse medium scattering problem with fa...

Reconstruct Anything Model: a lightweight foundation model for computational imaging

Most existing learning-based methods for solving imaging inverse problems can be roughly divided i...

FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems

Flow matching is a recent state-of-the-art framework for generative modeling based on ordinary dif...

Generative method for aerodynamic optimization based on classifier-free guided denoising diffusion probabilistic model

Inverse design approach, which directly generates optimal aerodynamic shape with neural network mo...

Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation

Individual treatment effect (ITE) estimation is to evaluate the causal effects of treatment strate...

Parameter estimation in fluid flow models from undersampled frequency space data

4D Flow MRI is the state of the art technique for measuring blood flow, and it provides valuable i...

Can Diffusion Models Provide Rigorous Uncertainty Quantification for Bayesian Inverse Problems?

In recent years, the ascendance of diffusion modeling as a state-of-the-art generative modeling ap...

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