Neurology

Head Trauma

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

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Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations

Deep learning has achieved remarkable success in image recognition, yet their inherent opacity poses...

Prediction of peripheral blood lymphocyte subpopulations after renal transplantation.

Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). ...

Dec 2025 40369954
Detection of S1 spike protein in CD16+ monocytes up to 245 days in SARS-CoV-2-negative post-COVID-19 vaccine syndrome (PCVS) individuals.

Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination ...

Dec 2025 40358138
Progressive fine-to-coarse reconstruction for accurate low-bit post-training quantization in vision transformers.

Due to its efficiency, Post-Training Quantization (PTQ) has been widely adopted for compressing Visi...

Sep 2025 40382990
Advancement of an automatic segmentation pipeline for metallic artifact removal in post-surgical ACL MRI.

Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-te...

Sep 2025 40348296
Emotion Recognition in Older Adults with Quantum Machine Learning and Wearable Sensors

We investigate the feasibility of inferring emotional states exclusively from physiological signal...

Where are we with calibration under dataset shift in image classification?

We conduct an extensive study on the state of calibration under real-world dataset shift for image...

TeethGenerator: A two-stage framework for paired pre- and post-orthodontic 3D dental data generation

Digital orthodontics represents a prominent and critical application of computer vision technology...

ChangeBridge: Spatiotemporal Image Generation with Multimodal Controls for Remote Sensing

Recent advancements in generative methods, especially diffusion models, have made great progress i...

MACHINE LEARNING AND SHOCK INDICES-DERIVED SCORE FOR PREDICTING CONTRAST-INDUCED NEPHROPATHY IN ACUTE CORONARY SYNDROME PATIENTS.

Background: Contrast-induced nephropathy (CIN) is a serious complication following acute coronary sy...

Jul 2025 39965631
Fast cortical thickness estimation using deep learning-based anatomy segmentation and diffeomorphic registration.

Accurately and efficiently estimating the cortical thickness from magnetic resonance images (MRIs) i...

Jul 2025 40378768
Parallels Between VLA Model Post-Training and Human Motor Learning: Progress, Challenges, and Trends

Vision-language-action (VLA) models extend vision-language models (VLM) by integrating action gene...

Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning

As machine learning systems increasingly rely on data subject to privacy regulation, selectively u...

EAQuant: Enhancing Post-Training Quantization for MoE Models via Expert-Aware Optimization

Mixture-of-Experts (MoE) models have emerged as a cornerstone of large-scale deep learning by effi...

Post Persona Alignment for Multi-Session Dialogue Generation

Multi-session persona-based dialogue generation presents challenges in maintaining long-term consi...

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