Neurology

Head Trauma

Latest AI and machine learning research in head trauma for healthcare professionals.

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Design and Implementation of BNN-Based Object Detection on FPGA

This paper implements a Binary Neural Network (BNN) based YOLOv3-tiny-like object detector on a low-...

Lightning Pose 3D: an uncertainty-aware framework for data-efficient multi-view animal pose estimation

Multi-view pose estimation is essential for quantifying animal behavior in scientific research, yet ...

Resting-state fMRI foundation models enable robust and generalizable latent neural target discovery in cognitive aging interventions

The benefits of interventions targeting cognitive aging vary substantially across individuals, large...

VDPP: Video Depth Post-Processing for Speed and Scalability

Video depth estimation is essential for providing 3D scene structure in applications ranging from au...

Untargeted analysis of volatile markers of post-exercise fat oxidation in exhaled breath

Breath acetone represents a promising non-invasive biomarker for monitoring fat oxidation during exe...

Automatic Configuration of LLM Post-Training Pipelines

LLM post-training pipelines that combine supervised fine-tuning and reinforcement learning are diffi...

InViC: Intent-aware Visual Cues for Medical Visual Question Answering

Medical visual question answering (Med-VQA) aims to answer clinically relevant questions grounded in...

Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations

Trust and ethical concerns due to the widespread deployment of opaque machine learning (ML) models m...

Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations

Trust and ethical concerns due to the widespread deployment of opaque machine learning (ML) models m...

Space Syntax-guided Post-training for Residential Floor Plan Generation

Pre-trained generative models for residential floor plans are typically optimized to fit large-scale...

Transforming Behavioral Neuroscience Discovery with In-Context Learning and AI-Enhanced Tensor Methods

Scientific discovery pipelines typically involve complex, rigid, and time-consuming processes, from ...

Life-course comorbidity patterns and integrated prediction of postpartum depression, multimorbidity, and symptom progression

Perinatal depression (PD) is common and disabling, yet its longitudinal comorbidity patterns and pre...

Systems Biology and Machine Learning Decode an Immunometabolic Signature for Post-Thrombotic Syndrome

Objective: Post-thrombotic syndrome (PTS), a common complication of deep vein thrombosis, lacks obje...

A Mixed Reality System for Robust Manikin Localization in Childbirth Training

Opportunities for medical students to gain practical experience in vaginal births are increasingly c...

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