Ophthalmology

Refractive Surgery

Latest AI and machine learning research in refractive surgery for healthcare professionals.

4,574 articles
Stay Ahead - Weekly Refractive Surgery research updates
Subscribe
Browse Categories
Showing 1030-1050 of 4,574 articles
PQD: Post-training Quantization for Efficient Diffusion Models

Diffusionmodels(DMs)havedemonstratedremarkableachievements in synthesizing images of high fidelity...

Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models

Post-disaster assessments of buildings and infrastructure are crucial for both immediate recovery ...

Mapping the Mind of an Instruction-based Image Editing using SMILE

Despite recent advancements in Instruct-based Image Editing models for generating high-quality ima...

Precision ICU Resource Planning: A Multimodal Model for Brain Surgery Outcomes

Although advances in brain surgery techniques have led to fewer postoperative complications requir...

I0T: Embedding Standardization Method Towards Zero Modality Gap

Contrastive Language-Image Pretraining (CLIP) enables zero-shot inference in downstream tasks such...

Facial Surgery Preview Based on the Orthognathic Treatment Prediction

Orthognathic surgery consultation is essential to help patients understand the changes to their fa...

Sentiment and Hashtag-aware Attentive Deep Neural Network for Multimodal Post Popularity Prediction

Social media users articulate their opinions on a broad spectrum of subjects and share their exper...

Three-in-One: Robust Enhanced Universal Transferable Anti-Facial Retrieval in Online Social Networks

Deep hash-based retrieval techniques are widely used in facial retrieval systems to improve the ef...

Graph convolutional networks enable fast hemorrhagic stroke monitoring with electrical impedance tomography

Objective: To develop a fast image reconstruction method for stroke monitoring with electrical imp...

Hyperbolic embedding of brain networks can predict the surgery outcome in temporal lobe epilepsy

Epilepsy surgery, particularly for temporal lobe epilepsy (TLE), remains a vital treatment option ...

A Pipeline and NIR-Enhanced Dataset for Parking Lot Segmentation

Discussions of minimum parking requirement policies often include maps of parking lots, which are ...

Take Fake as Real: Realistic-like Robust Black-box Adversarial Attack to Evade AIGC Detection

The security of AI-generated content (AIGC) detection is crucial for ensuring multimedia content c...

Automated Dynamic Image Analysis for Particle Size and Shape Classification in Three Dimensions

We introduce OCULAR, an innovative hardware and software solution for three-dimensional dynamic im...

ML-Based Framework to Predict the Severity of the Symptomatology in Patients with Post-Acute COVID-19 Syndrome.

The paper describes a cohort of patients with post-acute COVID-19 syndrome, evaluated for the first ...

Nov 2024 39575788
Deep operator network models for predicting post-burn contraction

Burn injuries present a significant global health challenge. Among the most severe long-term conse...

Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local Explanations

In today's world, the significance of explainable AI (XAI) is growing in robotics and point cloud ...

Seizure freedom after surgical resection of diffusion-weighted MRI abnormalities

Importance: Many individuals with drug-resistant epilepsy continue to have seizures after resectiv...

Browse Categories