Artificial Intelligence Medical Compendium

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

Showing 59,621 to 59,630 of 228,014 articles

InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement

arXiv Jan 21, 2026
Most existing time series classification methods adopt a discriminative paradigm that maps input sequences directly to one-hot encoded class labels. While effective, this paradigm struggles to incorporate contextual features and fails to capture sema... read more 
Machine Learning cs.AI

Robust Machine Learning for Regulatory Sequence Modeling under Biological and Technical Distribution Shifts

arXiv Jan 21, 2026
Robust machine learning for regulatory genomics is studied under biologically and technically induced distribution shifts. Deep convolutional and attention based models achieve strong in distribution performance on DNA regulatory sequence prediction ... read more 
Genomics stat.ML

Unified Multi-Dataset Training for TBPS

arXiv Jan 21, 2026
Text-Based Person Search (TBPS) has seen significant progress with vision-language models (VLMs), yet it remains constrained by limited training data and the fact that VLMs are not inherently pre-trained for pedestrian-centric recognition. Existing T... read more 
Computer Vision and Pattern Recognition

Filtered 2D Contour-Based Reconstruction of 3D STL Model from CT-DICOM Images

arXiv Jan 21, 2026
Reconstructing a 3D Stereo-lithography (STL) Model from 2D Contours of scanned structure in Digital Imaging and Communication in Medicine (DICOM) images is crucial to understand the geometry and deformity. Computed Tomography (CT) images are processe... read more 
Image and Video Processing cs.CV

Mixture-of-Experts Models in Vision: Routing, Optimization, and Generalization

arXiv Jan 21, 2026
Mixture-of-Experts (MoE) architectures enable conditional computation by routing inputs to multiple expert subnetworks and are often motivated as a mechanism for scaling large language models. In this project, we instead study MoE behavior in an imag... read more 
Machine Learning cs.CV

HyperNet-Adaptation for Diffusion-Based Test Case Generation

arXiv Jan 21, 2026
The increasing deployment of deep learning systems requires systematic evaluation of their reliability in real-world scenarios. Traditional gradient-based adversarial attacks introduce small perturbations that rarely correspond to realistic failures ... read more 
Machine Learning cs.SE

Federated Transformer-GNN for Privacy-Preserving Brain Tumor Localization with Modality-Level Explainability

arXiv Jan 21, 2026
Deep learning models for brain tumor analysis require large and diverse datasets that are often siloed across healthcare institutions due to privacy regulations. We present a federated learning framework for brain tumor localization that enables mult... read more 
Computer Vision and Pattern Recognition cs.AI

Deep Leakage with Generative Flow Matching Denoiser

arXiv Jan 21, 2026
Federated Learning (FL) has emerged as a powerful paradigm for decentralized model training, yet it remains vulnerable to deep leakage (DL) attacks that reconstruct private client data from shared model updates. While prior DL methods have demonstrat... read more 
Computer Vision and Pattern Recognition

Differential Privacy Image Generation with Reconstruction Loss and Noise Injection Using an Error Feedback SGD

arXiv Jan 21, 2026
Traditional data masking techniques such as anonymization cannot achieve the expected privacy protection while ensuring data utility for privacy-preserving machine learning. Synthetic data plays an increasingly important role as it generates a large ... read more 
Computer Vision and Pattern Recognition cs.AI

Enhancing Few-Shot Out-of-Distribution Detection via the Refinement of Foreground and Background

arXiv Jan 21, 2026
CLIP-based foreground-background (FG-BG) decomposition methods have demonstrated remarkable effectiveness in improving few-shot out-of-distribution (OOD) detection performance. However, existing approaches still suffer from several limitations. For b... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals