Artificial Intelligence Medical Compendium

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

Showing 48,661 to 48,670 of 224,513 articles

Predict to Skip: Linear Multistep Feature Forecasting for Efficient Diffusion Transformers

arXiv Feb 20, 2026
Diffusion Transformers (DiT) have emerged as a widely adopted backbone for high-fidelity image and video generation, yet their iterative denoising process incurs high computational costs. Existing training-free acceleration methods rely on feature ca... read more 
Computer Vision and Pattern Recognition

OODBench: Out-of-Distribution Benchmark for Large Vision-Language Models

arXiv Feb 20, 2026
Existing Visual-Language Models (VLMs) have achieved significant progress by being trained on massive-scale datasets, typically under the assumption that data are independent and identically distributed (IID). However, in real-world scenarios, it is ... read more 
Computer Vision and Pattern Recognition cs.AI cs.DB

RamanSeg: Interpretability-driven Deep Learning on Raman Spectra for Cancer Diagnosis

arXiv Feb 20, 2026
Histopathology, the current gold standard for cancer diagnosis, involves the manual examination of tissue samples after chemical staining, a time-consuming process requiring expert analysis. Raman spectroscopy is an alternative, stain-free method of ... read more 
Image and Video Processing cs.AI cs.CV cs.LG

Evaluating Graphical Perception Capabilities of Vision Transformers

arXiv Feb 20, 2026
Vision Transformers, ViTs, have emerged as a powerful alternative to convolutional neural networks, CNNs, in a variety of image-based tasks. While CNNs have previously been evaluated for their ability to perform graphical perception tasks, which are ... read more 
Computer Vision and Pattern Recognition

LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification

arXiv Feb 20, 2026
Alzheimer's disease (AD) alters brain electrophysiology and disrupts multichannel EEG dynamics, making accurate and clinically useful EEG-based diagnosis increasingly important for screening and disease monitoring. However, many existing approaches r... read more 
Machine Learning cs.AI

Generative Model via Quantile Assignment

arXiv Feb 20, 2026
Deep Generative models (DGMs) play two key roles in modern machine learning: (i) producing new information (e.g., image synthesis) and (ii) reducing dimensionality. However, traditional architectures often rely on auxiliary networks such as encoders ... read more 
Machine Learning

On the Adversarial Robustness of Discrete Image Tokenizers

arXiv Feb 20, 2026
Discrete image tokenizers encode visual inputs as sequences of tokens from a finite vocabulary and are gaining popularity in multimodal systems, including encoder-only, encoder-decoder, and decoder-only models. However, unlike CLIP encoders, their vu... read more 
Computer Vision and Pattern Recognition cs.AI

RoEL: Robust Event-based 3D Line Reconstruction

arXiv Feb 20, 2026
Event cameras in motion tend to detect object boundaries or texture edges, which produce lines of brightness changes, especially in man-made environments. While lines can constitute a robust intermediate representation that is consistently observed, ... read more 
Robotics cs.CV

JPmHC Dynamical Isometry via Orthogonal Hyper-Connections

arXiv Feb 20, 2026
Recent advances in deep learning, exemplified by Hyper-Connections (HC), have expanded the residual connection paradigm by introducing wider residual streams and diverse connectivity patterns. While these innovations yield significant performance gai... read more 
Machine Learning cs.AI

Multi-Level Conditioning by Pairing Localized Text and Sketch for Fashion Image Generation

arXiv Feb 20, 2026
Sketches offer designers a concise yet expressive medium for early-stage fashion ideation by specifying structure, silhouette, and spatial relationships, while textual descriptions complement sketches to convey material, color, and stylistic details.... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals