FKSUDDAPre: A drug-disease association prediction framework based on F-TEST feature selection and AMDKSU resampling with interpretability analysis. [PDF]
Zuo Y +6 more
europepmc +1 more source
Fast machine learning image reconstruction of radially undersampled k-space data for low-latency real-time MRI. [PDF]
Topalis J +15 more
europepmc +1 more source
Comparative analysis of machine learning models with SHAP interpretation for causes of highway flood-damage blocking. [PDF]
Li B, Wu L, Gao J, Yang F, Guo Y, Yan M.
europepmc +1 more source
Real-Time Deep-Learning Image Reconstruction and Instrument Tracking in MR-Guided Biopsies. [PDF]
Noordman CR +5 more
europepmc +1 more source
HMOA-GNN: adaptive adversarial GraphSAGE with hierarchical hybrid sampling and metric-optimized graph construction for credit card fraud detection. [PDF]
Ni L +5 more
europepmc +1 more source
Reply : CATALYZE: a deep learning approach for cataract assessment and grading on SS-OCT images. [PDF]
Panthier C, Zeboulon P.
europepmc +1 more source
Magnetic resonance image processing transformer for general accelerated image restoration. [PDF]
Shen G +4 more
europepmc +1 more source
SimpleKANSleepNet: a Kolmogorov-Arnold network based sleep stage classification method. [PDF]
Ji X, Wang L, Zhou Y.
europepmc +1 more source
NeRF Solves Undersampled MRI Reconstruction
This article presents a novel undersampled magnetic resonance imaging (MRI) technique that leverages the concept of Neural Radiance Field (NeRF). With radial undersampling, the corresponding imaging problem can be reformulated into an image modeling task from sparse-view rendered data; therefore, a high dimensional MR image is obtainable from ...
Jang, Tae Jun, Hyun, Chang Min
openaire +1 more source
Optimizing Suicide Risk Prediction in Korea: A Comparison of Model Performance Using Resampling Methods and Machine Learning Algorithms. [PDF]
Lim E +8 more
europepmc +1 more source

