Neurology

Head Trauma

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

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Detection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy.

Traumatic brain injury (TBI) may adversely affect a person's thinking, memory, personality, and beha...

Nov 2016 27676221
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.

We propose a dual pathway, 11-layers deep, three-dimensional Convolutional Neural Network for the ch...

Oct 2016 27865153
Identifying Important Attributes for Prognostic Prediction in Traumatic Brain Injury Patients. A Hybrid Method of Decision Tree and Neural Network.

BACKGROUND: Generally, traumatic brain injury (TBI) patients do not have a stable condition, particu...

Aug 2016 27492342
Usefulness of robotic gait training plus neuromodulation in chronic spinal cord injury: a case report.

CONTEXT: Spinal cord injury (SCI) affects more than 2.5 million people worldwide, often leading to s...

Mar 2016 27077568
Robotic Rehabilitator of the Rodent Upper Extremity: A System and Method for Assessing and Training Forelimb Force Production after Neurological Injury.

Rodent models of spinal cord injury are critical for the development of treatments for upper limb mo...

Jan 2016 26414700
A Case of Post-Traumatic Pseudocyst in the Spleen Successfully Treated with Alcohol Sclerotherapy.

This report details a case of post-traumatic pseudocyst in the spleen that was successfully treated ...

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Dec 2015 26770903
Individual prediction of chronic motor outcome in the acute post-stroke stage: Behavioral parameters versus functional imaging.

Several neurobiological factors have been found to correlate with functional recovery after brain le...

Aug 2015 26381168
Using swing resistance and assistance to improve gait symmetry in individuals post-stroke.

A major characteristic of hemiplegic gait observed in individuals post-stroke is spatial and tempora...

Jun 2015 26066783
Predictive modeling in pediatric traumatic brain injury using machine learning.

BACKGROUND: Pediatric traumatic brain injury (TBI) constitutes a significant burden and diagnostic c...

Mar 2015 25886156
Permutation entropy analysis of vital signs data for outcome prediction of patients with severe traumatic brain injury.

Permutation entropy is computationally efficient, robust to outliers, and effective to measure compl...

Nov 2014 25464358
Assist-as-Needed Robot-Aided Gait Training Improves Walking Function in Individuals Following Stroke.

A novel robot-aided assist-as-needed gait training paradigm has been developed recently. This paradi...

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Oct 2014 25314703
A high-resolution protein-RNA binding atlas for structure-aware interaction prediction and post-transcriptional regulatory modeling

RNA-binding proteins (RBPs) control post-transcriptional gene expression by regulating RNA processin...

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APT: Feedback-Driven Agentic Post-Training for Text-to-Image Generation

Post-training is crucial for improving text-to-image models, yet existing pipelines typically rely o...

(1)
Efficient Fréchet Distributional Decoder Alignment for Latent Generative Models

Fréchet Distributional (FD) objectives provide an effective distribution-level signal for post-train...

(1)
Rethinking Contrastive Loss in CLIP Post-training: A Complementary Framework with Frozen Text Encoder

CLIP serves as a foundational vision-language model and the de facto vision encoder for downstream V...

(1)
Rethinking Contrastive Loss in CLIP Post-training: A Complementary Framework with Frozen Text Encoder

CLIP serves as a foundational vision-language model and the de facto vision encoder for downstream V...

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