Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 3,541 to 3,550 of 168,679 articles

Towards interpretable emotion recognition: Identifying key features with machine learning

arXiv Aug 6, 2025
Unsupervised methods, such as wav2vec2 and HuBERT, have achieved state-of-the-art performance in audio tasks, leading to a shift away from research on interpretable features. However, the lack of interpretability in these methods limits their appli... read more 
Audio and Speech Processing Sound

FeDaL: Federated Dataset Learning for Time Series Foundation Models

arXiv Aug 6, 2025
Dataset-wise heterogeneity introduces significant domain biases that fundamentally degrade generalization on Time Series Foundation Models (TSFMs), yet this challenge remains underexplored. This paper rethink the development of TSFMs using the para... read more 
Machine Learning

Beyond the Visible: Benchmarking Occlusion Perception in Multimodal Large Language Models

arXiv Aug 6, 2025
Occlusion perception, a critical foundation for human-level spatial understanding, embodies the challenge of integrating visual recognition and reasoning. Though multimodal large language models (MLLMs) have demonstrated remarkable capabilities, th... read more 
Computer Vision and Pattern Recognition

SPJFNet: Self-Mining Prior-Guided Joint Frequency Enhancement for Ultra-Efficient Dark Image Restoration

arXiv Aug 6, 2025
Current dark image restoration methods suffer from severe efficiency bottlenecks, primarily stemming from: (1) computational burden and error correction costs associated with reliance on external priors (manual or cross-modal); (2) redundant operat... read more 
Computer Vision and Pattern Recognition

Real-World Adversarial Defense against Patch Attacks based on Diffusion Model.

IEEE transactions on pattern analysis and machine intelligence Aug 6, 2025
Adversarial patches present significant challenges to the robustness of deep learning models, making the development of effective defenses become critical for real-world applications. This paper introduces DIFFender, a novel DIFfusion-based DeFender ... read more 

Enhancing Postural Monitoring in Wheelchair Users through Context Classification.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 6, 2025
Globally, the number of wheelchair users is steadily increasing. These people often adopt sitting patterns that reflect their functional status. Monitoring the user's postural status can help users and healthcare professionals to treat them. However,... read more 

Continual Multiple Instance Learning for Hematologic Disease Diagnosis

arXiv Aug 6, 2025
The dynamic environment of laboratories and clinics, with streams of data arriving on a daily basis, requires regular updates of trained machine learning models for consistent performance. Continual learning is supposed to help train models without... read more 
Machine Learning Computer Vision and Pattern Recognition Image and Video Processing Quantitative Methods

QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution

arXiv Aug 6, 2025
Diffusion models have shown superior performance in real-world video super-resolution (VSR). However, the slow processing speeds and heavy resource consumption of diffusion models hinder their practical application and deployment. Quantization offe... read more 
Computer Vision and Pattern Recognition

Two-Way Garment Transfer: Unified Diffusion Framework for Dressing and Undressing Synthesis

arXiv Aug 6, 2025
While recent advances in virtual try-on (VTON) have achieved realistic garment transfer to human subjects, its inverse task, virtual try-off (VTOFF), which aims to reconstruct canonical garment templates from dressed humans, remains critically unde... read more 
Computer Vision and Pattern Recognition

Development of a deep learning based approach for multi-material decomposition in spectral CT: a proof of principle in silico study.

Scientific reports Aug 6, 2025
Conventional approaches to material decomposition in spectral CT face challenges related to precise algorithm calibration across imaged conditions and low signal quality caused by variable object size and reduced dose. In this proof-of-principle stud... read more 
Tomography, X-Ray Computed Humans Deep Learning Algorithms Iodine Gadolinium Calcium Computer Simulation Image Processing, Computer-Assisted Phantoms, Imaging
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