Artificial Intelligence Medical Compendium

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

Showing 51,341 to 51,350 of 225,182 articles

Variational Green's Functions for Volumetric PDEs

arXiv Feb 12, 2026
Green's functions characterize the fundamental solutions of partial differential equations; they are essential for tasks ranging from shape analysis to physical simulation, yet they remain computationally prohibitive to evaluate on arbitrary geometri... read more 
Graphics cs.LG

Predicting Dynamic Map States from Limited Field-of-View Sensor Data

arXiv Feb 12, 2026
When autonomous systems are deployed in real-world scenarios, sensors are often subject to limited field-of-view (FOV) constraints, either naturally through system design, or through unexpected occlusions or sensor failures. In conditions where a lar... read more 
Robotics

Thermal Imaging for Contactless Cardiorespiratory and Sudomotor Response Monitoring

arXiv Feb 12, 2026
Thermal infrared imaging captures skin temperature changes driven by autonomic regulation and can potentially provide contactless estimation of electrodermal activity (EDA), heart rate (HR), and breathing rate (BR). While visible-light methods addres... read more 
Computer Vision and Pattern Recognition

Synthetic Image Detection with CLIP: Understanding and Assessing Predictive Cues

arXiv Feb 12, 2026
Recent generative models produce near-photorealistic images, challenging the trustworthiness of photographs. Synthetic image detection (SID) has thus become an important area of research. Prior work has highlighted how synthetic images differ from re... read more 
Computer Vision and Pattern Recognition

Reproducing DragDiffusion: Interactive Point-Based Editing with Diffusion Models

arXiv Feb 12, 2026
DragDiffusion is a diffusion-based method for interactive point-based image editing that enables users to manipulate images by directly dragging selected points. The method claims that accurate spatial control can be achieved by optimizing a single d... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

MonoLoss: A Training Objective for Interpretable Monosemantic Representations

arXiv Feb 12, 2026
Sparse autoencoders (SAEs) decompose polysemantic neural representations, where neurons respond to multiple unrelated concepts, into monosemantic features that capture single, interpretable concepts. However, standard training objectives only weakly ... read more 
Computer Vision and Pattern Recognition

MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery

arXiv Feb 12, 2026
Background: Robot-assisted minimally invasive surgery (RMIS) research increasingly relies on multimodal data, yet access to proprietary robot telemetry remains a major barrier. We introduce MiDAS, an open-source, platform-agnostic system enabling tim... read more 
Robotics cs.CV cs.LG

Conference Proceedings of the Inaugural Conference of the International Society for Tractography (IST 2025 Bordeaux)

arXiv Feb 12, 2026
This collection comprises the abstracts presented during poster, power pitch and oral sessions at the Inaugural Conference of the International Society for Tractography (IST Conference 2025), held in Bordeaux, France, from October 13-16, 2025. The co... read more 
Image and Video Processing cs.CV q-bio.NC

Prototype-driven fusion of pathology and spatial transcriptomics for interpretable survival prediction

arXiv Feb 12, 2026
Whole slide images (WSIs) enable weakly supervised prognostic modeling via multiple instance learning (MIL). Spatial transcriptomics (ST) preserves in situ gene expression, providing a spatial molecular context that complements morphology. As paired ... read more 
Computer Vision and Pattern Recognition

Semantic-aware Adversarial Fine-tuning for CLIP

arXiv Feb 12, 2026
Recent studies have shown that CLIP model's adversarial robustness in zero-shot classification tasks can be enhanced by adversarially fine-tuning its image encoder with adversarial examples (AEs), which are generated by minimizing the cosine similari... read more 
Computer Vision and Pattern Recognition
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