Evaluating the reliability of large language models for clinical data extraction in bladder cancer prognosis. [PDF]
Sun D +10 more
europepmc +1 more source
Turbo codes and turbo algorithms
Claudine Berr, Charlotte Langlais, Yi Yu
openalex +1 more source
Modeling the Intermediate Flow Regime in Flow‐Compensated Intravoxel Incoherent Motion MRI
ABSTRACT Purpose The intravoxel incoherent motion (IVIM) model is commonly used to separate the effects of motion related to diffusion and blood microcirculation (perfusion) on the MR signal. Depending on the encoding time (T), it is possible to probe the different temporal regimes of blood motion, which resemble a ballistic flow at short T and a ...
Louise Rosenqvist +5 more
wiley +1 more source
A multi-stage large language model framework for extracting suicide-related social determinants of health. [PDF]
Wang S +12 more
europepmc +1 more source
Performance of Turbo-Codes with Some Proposed Interleaver Schemes
Ahmed S. Hadi
openalex +1 more source
Research on Unequal Error Protection Turbo Product Codes
Ying Huang, Jing Lei, Yong Ling
openalex +1 more source
Fast Correlation Attacks Based on Turbo Code Techniques
T. Johansson, Fredrik Jönsson
semanticscholar +1 more source
Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul +8 more
wiley +1 more source
Limitations in Chest X-Ray Interpretation by Vision-Capable Large Language Models, Gemini 1.0, Gemini 1.5 Pro, GPT-4 Turbo, and GPT-4o. [PDF]
Chen CH +4 more
europepmc +1 more source
On the performance of turbo codes in quasi-static fading channels [PDF]
Mário Rodrigues +3 more
openalex +1 more source

