Artificial Intelligence Medical Compendium

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

Showing 52,021 to 52,030 of 225,279 articles

AdaTSQ: Pushing the Pareto Frontier of Diffusion Transformers via Temporal-Sensitivity Quantization

arXiv Feb 10, 2026
Diffusion Transformers (DiTs) have emerged as the state-of-the-art backbone for high-fidelity image and video generation. However, their massive computational cost and memory footprint hinder deployment on edge devices. While post-training quantizati... read more 
Computer Vision and Pattern Recognition

SARS: A Novel Face and Body Shape and Appearance Aware 3D Reconstruction System extends Morphable Models

arXiv Feb 10, 2026
Morphable Models (3DMMs) are a type of morphable model that takes 2D images as inputs and recreates the structure and physical appearance of 3D objects, especially human faces and bodies. 3DMM combines identity and expression blendshapes with a basic... read more 
Computer Vision and Pattern Recognition cs.AI

Monocular Normal Estimation via Shading Sequence Estimation

arXiv Feb 10, 2026
Monocular normal estimation aims to estimate the normal map from a single RGB image of an object under arbitrary lights. Existing methods rely on deep models to directly predict normal maps. However, they often suffer from 3D misalignment: while the ... read more 
Computer Vision and Pattern Recognition cs.AI

Monocular Normal Estimation via Shading Sequence Estimation

arXiv Feb 10, 2026
Monocular normal estimation aims to estimate the normal map from a single RGB image of an object under arbitrary lights. Existing methods rely on deep models to directly predict normal maps. However, they often suffer from 3D misalignment: while the ... read more 
Computer Vision and Pattern Recognition cs.AI

Unbalanced optimal transport for robust longitudinal lesion evolution with registration-aware and appearance-guided priors

arXiv Feb 10, 2026
Evaluating lesion evolution in longitudinal CT scans of can cer patients is essential for assessing treatment response, yet establishing reliable lesion correspondence across time remains challenging. Standard bipartite matchers, which rely on geomet... read more 
Computer Vision and Pattern Recognition cs.AI

The Catastrophic Failure of The k-Means Algorithm in High Dimensions, and How Hartigan's Algorithm Avoids It

arXiv Feb 10, 2026
Lloyd's k-means algorithm is one of the most widely used clustering methods. We prove that in high-dimensional, high-noise settings, the algorithm exhibits catastrophic failure: with high probability, essentially every partition of the data is a fixe... read more 
Machine Learning cs.LG math.ST

Bladder Vessel Segmentation using a Hybrid Attention-Convolution Framework

arXiv Feb 10, 2026
Urinary bladder cancer surveillance requires tracking tumor sites across repeated interventions, yet the deformable and hollow bladder lacks stable landmarks for orientation. While blood vessels visible during endoscopy offer a patient-specific "vasc... read more 
Computer Vision and Pattern Recognition cs.AI

Learning to Detect Baked Goods with Limited Supervision

arXiv Feb 10, 2026
Monitoring leftover products provides valuable insights that can be used to optimize future production. This is especially important for German bakeries because freshly baked goods have a very short shelf life. Automating this process can reduce labo... read more 
Computer Vision and Pattern Recognition

Efficient Special Stain Classification

arXiv Feb 10, 2026
Stains are essential in histopathology to visualize specific tissue characteristics, with Haematoxylin and Eosin (H&E) serving as the clinical standard. However, pathologists frequently utilize a variety of special stains for the diagnosis of speci... read more 
Computer Vision and Pattern Recognition

Perception with Guarantees: Certified Pose Estimation via Reachability Analysis

arXiv Feb 10, 2026
Agents in cyber-physical systems are increasingly entrusted with safety-critical tasks. Ensuring safety of these agents often requires localizing the pose for subsequent actions. Pose estimates can, e.g., be obtained from various combinations of lida... read more 
Computer Vision and Pattern Recognition cs.RO
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