Artificial Intelligence Medical Compendium

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

Showing 17,141 to 17,150 of 213,726 articles

TinySAM 2: Extreme Memory Compression for Efficient Track Anything Model

arXiv May 18, 2026
Segment Anything Model 2 (SAM 2) serves as a core foundation model in the field of video segmentation. Building upon the original SAM model, it introduces a memory bank mechanism and demonstrates outstanding performance in tasks such as semi-supervis... read more 
Computer Vision and Pattern Recognition cs.AI

Patch Ensembles for Robust Salmon Re-Identification with Weak Trajectory Labels

arXiv May 18, 2026
Salmon re-identification in commercial net-pens is challenging due to large populations, which impose strict accuracy requirements and make large-scale labeled data acquisition infeasible. Trajectory IDs can be used as proxy labels, but this introduc... read more 
Computer Vision and Pattern Recognition

Efficient 3D Content Reconstruction and Generation

arXiv May 18, 2026
Automatic 3D content creation seeks to replace labor-intensive modeling and scanning pipelines with systems that can synthesize or recover 3D assets directly from text or images. Its applications span video games, virtual reality, robotics, and simul... read more 
Computer Vision and Pattern Recognition

The MixCount Dataset: Bridging the Data Gap for Open-Vocabulary Object Counting

arXiv May 18, 2026
Object counting is a foundational vision task with over a decade of dedicated research, yet state-of-the-art models still fail systematically in the mixed-object setting that dominates real-world applications such as industrial inspection and product... read more 
Computer Vision and Pattern Recognition cs.LG

DanceHMR: Hand-Aware Whole-Body Human Mesh Recovery from Monocular Videos

arXiv May 18, 2026
Monocular video human mesh recovery is essential for digital humans, avatar animation, and embodied simulation, where both temporal stability and expressive whole-body motion are required. Existing video HMR methods produce coherent body motion but o... read more 
Computer Vision and Pattern Recognition

How Good LLMs Are at Answering Bangla Medical Visual Questions? Dataset and Benchmarking

arXiv May 18, 2026
Recent advancements in Large Language Models (LLMs) and Large Vision Language Models (LVLMs) have enabled general-purpose systems to demonstrate promising capabilities in complex reasoning tasks, including those in the medical domain. Medical Visual ... read more 
Computation and Language cs.CV

Functional Whole-Brain Models: A New Framework for Unifying Brain Structure and Cognitive Function

arXiv May 18, 2026
Contemporary computational neuroscience features two prominent modeling traditions. Bottom-up whole-brain modeling (WBM) builds biophysically detailed simulations of brain structure and dynamics, whereas top-down neuroconnectionism optimizes deep neu... read more 
Neurons and Cognition

Rad-VLSM: A Cross-Modal Framework with Semantics-Assisted Prompting for Medical Segmentation and Diagnosis

arXiv May 18, 2026
Medical image segmentation is more clinically valuable when it supports diagnosis rather than merely producing lesion masks. However, diagnostically relevant lesion cues are often subtle and localized, while existing models may be distracted by backg... read more 
Computer Vision and Pattern Recognition

Semi-LAR: Semi-supervised Contrastive Learning with Linear Attention for Removal of Nighttime Flares

arXiv May 18, 2026
Lens flare removal is challenging due to the large spatial extent of flare artifacts and their entanglement with scene structures, while existing methods heavily rely on large-scale paired data. We propose a semi-supervised flare removal framework th... read more 
Computer Vision and Pattern Recognition

Token-Space Mask Prediction for Efficient Vision Transformer Segmentation

arXiv May 18, 2026
Query-based Vision Transformer segmentation models typically reconstruct dense spatial feature maps to predict masks, inheriting design patterns from convolutional architectures. We show that this explicit image-space reconstruction is not required. ... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals