AIMC Topic: Head

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Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep Network.

Sensors (Basel, Switzerland)
Interpretation of neural activity in response to stimulations received from the surrounding environment is necessary to realize automatic brain decoding. Analyzing the brain recordings corresponding to visual stimulation helps to infer the effects of...

Accuracy of ChatGPT in head and neck oncological board decisions: preliminary findings.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
OBJECTIVES: To evaluate the ChatGPT-4 performance in oncological board decisions.

Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution.

Scientific reports
Traditional convolutional neural network (CNN) methods rely on dense tensors, which makes them suboptimal for spatially sparse data. In this paper, we propose a CNN model based on sparse tensors for efficient processing of high-resolution shapes repr...

Prediction of therapeutic intensity level from automatic multiclass segmentation of traumatic brain injury lesions on CT-scans.

Scientific reports
The prediction of the therapeutic intensity level (TIL) for severe traumatic brain injury (TBI) patients at the early phase of intensive care unit (ICU) remains challenging. Computed tomography images are still manually quantified and then underexplo...

Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis.

Biomedical engineering online
PURPOSE: The contouring of organs at risk (OARs) in head and neck cancer radiation treatment planning is a crucial, yet repetitive and time-consuming process. Recent studies have applied deep learning (DL) algorithms to automatically contour head and...

Diagnosis with confidence: deep learning for reliable classification of laryngeal dysplasia.

Histopathology
BACKGROUND: Diagnosis of head and neck (HN) squamous dysplasias and carcinomas is critical for patient care, cure, and follow-up. It can be challenging, especially for grading intraepithelial lesions. Despite recent simplification in the last WHO gra...