Artificial Intelligence Medical Compendium

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

Showing 45,841 to 45,850 of 224,055 articles

Fake It Right: Injecting Anatomical Logic into Synthetic Supervised Pre-training for Medical Segmentation

arXiv Mar 1, 2026
Vision Transformers (ViTs) excel in 3D medical segmentation but require massive annotated datasets. While Self-Supervised Learning (SSL) mitigates this using unlabeled data, it still faces strict privacy and logistical barriers. Formula-Driven Superv... read more 
Computer Vision and Pattern Recognition

The Texture-Shape Dilemma: Boundary-Safe Synthetic Generation for 3D Medical Transformers

arXiv Mar 1, 2026
Vision Transformers (ViTs) have revolutionized medical image analysis, yet their data-hungry nature clashes with the scarcity and privacy constraints of clinical archives. Formula-Driven Supervised Learning (FDSL) has emerged as a promising solution ... read more 
Computer Vision and Pattern Recognition

MLRecon: Robust Markerless Freehand 3D Ultrasound Reconstruction via Coarse-to-Fine Pose Estimation

arXiv Mar 1, 2026
Freehand 3D ultrasound (US) reconstruction promises volumetric imaging with the flexibility of standard 2D probes, yet existing tracking paradigms face a restrictive trilemma: marker-based systems demand prohibitive costs, inside-out methods require ... read more 
Computer Vision and Pattern Recognition

Compensation-free Machine Unlearning in Text-to-Image Diffusion Models by Eliminating the Mutual Information

arXiv Mar 1, 2026
The powerful generative capabilities of diffusion models have raised growing privacy and safety concerns regarding generating sensitive or undesired content. In response, machine unlearning (MU) -- commonly referred to as concept erasure (CE) in diff... read more 
Machine Learning

Let Your Image Move with Your Motion! -- Implicit Multi-Object Multi-Motion Transfer

arXiv Mar 1, 2026
Motion transfer has emerged as a promising direction for controllable video generation, yet existing methods largely focus on single-object scenarios and struggle when multiple objects require distinct motion patterns. In this work, we present FlexiM... read more 
Computer Vision and Pattern Recognition

Data-Free PINNs for Compressible Flows: Mitigating Spectral Bias and Gradient Pathologies via Mach-Guided Scaling and Hybrid Convolutions

arXiv Mar 1, 2026
This paper presents a fully data-free Physics-Informed Neural Network (PINN) capable of solving compressible inviscid flows (ranging from supersonic to hypersonic, up to Ma=15, where Ma is the Mach number) around a circular cylinder. To overcome the ... read more 
Fluid Dynamics cs.AI

Implementation of Licensed Plate Detection and Noise Removal in Image Processing

arXiv Mar 1, 2026
Car license plate recognition system is an image processing technology used to identify vehicles by capturing their Car License Plates. The car license plate recognition technology is also known as automatic number-plate recognition, automatic vehicl... read more 
Computer Vision and Pattern Recognition eess.IV eess.SP

BadRSSD: Backdoor Attacks on Regularized Self-Supervised Diffusion Models

arXiv Mar 1, 2026
Self-supervised diffusion models learn high-quality visual representations via latent space denoising. However, their representation layer poses a distinct threat: unlike traditional attacks targeting generative outputs, its unconstrained latent sema... read more 
Cryptography and Security cs.LG

Vision-Language Feature Alignment for Road Anomaly Segmentation

arXiv Mar 1, 2026
Safe autonomous systems in complex environments require robust road anomaly segmentation to identify unknown obstacles. However, existing approaches often rely on pixel-level statistics to determine whether a region appears anomalous. This reliance l... read more 
Computer Vision and Pattern Recognition

Reparameterized Tensor Ring Functional Decomposition for Multi-Dimensional Data Recovery

arXiv Mar 1, 2026
Tensor Ring (TR) decomposition is a powerful tool for high-order data modeling, but is inherently restricted to discrete forms defined on fixed meshgrids. In this work, we propose a TR functional decomposition for both meshgrid and non-meshgrid data,... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG
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