Artificial Intelligence Medical Compendium

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

Showing 42,661 to 42,670 of 223,853 articles

Cough activity detection for automatic tuberculosis screening

arXiv Mar 11, 2026
The automatic identification of cough segments in audio through the determination of start and end points is pivotal to building scalable screening tools in health technologies for pulmonary related diseases. We propose the application of two current... read more 
Audio and Speech Processing cs.LG cs.SD

A Unified Latent Space Disentanglement VAE Framework with Robust Disentanglement Effectiveness Evaluation

arXiv Mar 11, 2026
Evaluating and interpreting latent representations, such as variational autoencoders (VAEs), remains a significant challenge for diverse data types, especially when ground-truth generative factors are unknown. To address this, we propose a general fr... read more 
Machine Learning cs.LG

A Standardized Framework For Evaluating Gene Expression Generative Models

arXiv Mar 11, 2026
The rapid development of generative models for single-cell gene expression data has created an urgent need for standardised evaluation frameworks. Current evaluation practices suffer from inconsistent metric implementations, incomparable hyperparamet... read more 
Genomics cs.LG

When Slots Compete: Slot Merging in Object-Centric Learning

arXiv Mar 11, 2026
Slot-based object-centric learning represents an image as a set of latent slots with a decoder that combines them into an image or features. The decoder specifies how slots are combined into an output, but the slot set is typically fixed: the number ... read more 
Computer Vision and Pattern Recognition

Towards Automated Initial Probe Placement in Transthoracic Teleultrasound Using Human Mesh and Skeleton Recovery

arXiv Mar 11, 2026
Cardiac and lung ultrasound are technically demanding because operators must identify patient-specific intercostal acoustic windows and then navigate between standard views by adjusting probe position, rotation, and force across different imaging pla... read more 
Computer Vision and Pattern Recognition

Single molecule localization microscopy challenge: a biologically inspired benchmark for long-sequence modeling

arXiv Mar 11, 2026
State space models (SSMs) have recently achieved strong performance on long sequence modeling tasks while offering improved memory and computational efficiency compared to transformer based architectures. However, their evaluation has been largely li... read more 
Machine Learning q-bio.QM

InstantHDR: Single-forward Gaussian Splatting for High Dynamic Range 3D Reconstruction

arXiv Mar 11, 2026
High dynamic range (HDR) novel view synthesis (NVS) aims to reconstruct HDR scenes from multi-exposure low dynamic range (LDR) images. Existing HDR pipelines heavily rely on known camera poses, well-initialized dense point clouds, and time-consuming ... read more 
Computer Vision and Pattern Recognition

MRI2Qmap: multi-parametric quantitative mapping with MRI-driven denoising priors

arXiv Mar 11, 2026
Magnetic Resonance Fingerprinting (MRF) and other highly accelerated transient-state parameter mapping techniques enable simultaneous quantification of multiple tissue properties, but often suffer from aliasing artifacts due to compressed sampling. I... read more 
Medical Physics cs.CV cs.LG

UniCompress: Token Compression for Unified Vision-Language Understanding and Generation

arXiv Mar 11, 2026
Unified models aim to support both understanding and generation by encoding images into discrete tokens and processing them alongside text within a single autoregressive framework. This unified design offers architectural simplicity and cross-modal s... read more 
Computer Vision and Pattern Recognition

UNet-AF: An alias-free UNet for image restoration

arXiv Mar 11, 2026
The simplicity and effectiveness of the UNet architecture makes it ubiquitous in image restoration, image segmentation, and diffusion models. They are often assumed to be equivariant to translations, yet they traditionally consist of layers that are ... read more 
Computer Vision and Pattern Recognition
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