Psoriasis

Psoriasis

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

2,970 articles

Dermatology Subcategories: Atopy Psoriasis

Showing 610-630 of 2,970 articles

Learning from Samples: Inverse Problems over measures via Sharpened Fenchel-Young Losses

Estimating parameters from samples of an optimal probability distribution is essential in applicat...

May 2025 http://arxiv.org/abs/2505.07124v1

Good Things Come in Pairs: Paired Autoencoders for Inverse Problems

In this book chapter, we discuss recent advances in data-driven approaches for inverse problems. I...

May 2025 http://arxiv.org/abs/2505.06549v1

Dendritic cell-based microrobots for enhanced systemic antigen-specific immune tolerance.

Current immunotherapeutic approaches for autoimmune disorders primarily rely on the use of generaliz...

May 2025 40010412

Editorial Commentary: Deteriorated Quality and Medial Retraction of Tendon Following Acute Traumatic Rotator Cuff Tear Are Predictors of Retear After Arthroscopic Repair.

Rotator cuff tears are a common cause of shoulder pain and dysfunction, affecting up to 33% of the p...

May 2025 40349803

Machine-Learning-Powered, Rapid, Accurate, and Multi-Target Mechanical Metamaterials Inverse Design.

Multi-target inverse design, which involves designing multiple targets with different optimization o...

May 2025 40343377

Improved Dimensionality Reduction for Inverse Problems in Nuclear Fusion and High-Energy Astrophysics

Many inverse problems in nuclear fusion and high-energy astrophysics research, such as the optimiz...

May 2025 http://arxiv.org/abs/2505.03849v1

DiffLiB: High-fidelity differentiable modeling of lithium-ion batteries and efficient gradient-based parameter identification

The physics-based Doyle-Fuller-Newman (DFN) model, widely adopted for its precise electrochemical ...

Apr 2025 http://arxiv.org/abs/2504.20674v1

Quality-factor inspired deep neural network solver for solving inverse scattering problems

Deep neural networks have been applied to address electromagnetic inverse scattering problems (ISP...

Apr 2025 http://arxiv.org/abs/2504.20504v1

Learning-Based Modeling of Soft Actuators Using Euler Spiral-Inspired Curvature

Soft robots, distinguished by their inherent compliance and continuum structures, present unique m...

Apr 2025 http://arxiv.org/abs/2504.18692v1

Physics-Driven Neural Compensation For Electrical Impedance Tomography

Electrical Impedance Tomography (EIT) provides a non-invasive, portable imaging modality with sign...

Apr 2025 http://arxiv.org/abs/2504.18067v2

Physics-guided and fabrication-aware inverse design of photonic devices using diffusion models

Designing free-form photonic devices is fundamentally challenging due to the vast number of possib...

Apr 2025 http://arxiv.org/abs/2504.17077v1

Latent Diffusion Planning for Imitation Learning

Recent progress in imitation learning has been enabled by policy architectures that scale to compl...

Apr 2025 http://arxiv.org/abs/2504.16925v1

RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction

Radio maps (RMs) are essential for environment-aware communication and sensing, providing location...

Apr 2025 http://arxiv.org/abs/2504.14298v3

Generative Deep Learning Framework for Inverse Design of Fuels

In the present work, a generative deep learning framework combining a Co-optimized Variational Aut...

Apr 2025 http://arxiv.org/abs/2504.12075v1

Learned enclosure method for experimental EIT data

Electrical impedance tomography (EIT) is a non-invasive imaging method with diverse applications, ...

Apr 2025 http://arxiv.org/abs/2504.11512v2

PG-DPIR: An efficient plug-and-play method for high-count Poisson-Gaussian inverse problems

Poisson-Gaussian noise describes the noise of various imaging systems thus the need of efficient a...

Apr 2025 http://arxiv.org/abs/2504.10375v1

Dual-grid parameter choice method with application to image deblurring

Variational regularization of ill-posed inverse problems is based on minimizing the sum of a data ...

Apr 2025 http://arxiv.org/abs/2504.10259v1

A Riemannian Gradient Descent Method for the Least Squares Inverse Eigenvalue Problem

We address an algorithm for the least squares fitting of a subset of the eigenvalues of an unknown...

Apr 2025 http://arxiv.org/abs/2504.07809v1

STeP: A General and Scalable Framework for Solving Video Inverse Problems with Spatiotemporal Diffusion Priors

We study how to solve general Bayesian inverse problems involving videos using diffusion model pri...

Apr 2025 http://arxiv.org/abs/2504.07549v1

SVG-IR: Spatially-Varying Gaussian Splatting for Inverse Rendering

Reconstructing 3D assets from images, known as inverse rendering (IR), remains a challenging task ...

Apr 2025 http://arxiv.org/abs/2504.06815v1

SDEIT: Semantic-Driven Electrical Impedance Tomography

Regularization methods using prior knowledge are essential in solving ill-posed inverse problems s...

Apr 2025 http://arxiv.org/abs/2504.04185v1

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