Artificial Intelligence Medical Compendium

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

Showing 56,531 to 56,540 of 226,846 articles

Leveraging Data to Say No: Memory Augmented Plug-and-Play Selective Prediction

arXiv
Selective prediction aims to endow predictors with a reject option, to avoid low confidence predictions. However, existing literature has primarily focused on closed-set tasks, such as visual question answering with predefined options or fixed-catego... read more 

DELNet: Continuous All-in-One Weather Removal via Dynamic Expert Library

arXiv
All-in-one weather image restoration methods are valuable in practice but depend on pre-collected data and require retraining for unseen degradations, leading to high cost. We propose DELNet, a continual learning framework for weather image restorati... read more 

PhoStream: Benchmarking Real-World Streaming for Omnimodal Assistants in Mobile Scenarios

arXiv
Multimodal Large Language Models excel at offline audio-visual understanding, but their ability to serve as mobile assistants in continuous real-world streams remains underexplored. In daily phone use, mobile assistants must track streaming audio-vis... read more 

Bonnet: Ultra-fast whole-body bone segmentation from CT scans

arXiv
This work proposes Bonnet, an ultra-fast sparse-volume pipeline for whole-body bone segmentation from CT scans. Accurate bone segmentation is important for surgical planning and anatomical analysis, but existing 3D voxel-based models such as nnU-Net ... read more 

Cross-Domain Few-Shot Learning for Hyperspectral Image Classification Based on Mixup Foundation Model

arXiv
Although cross-domain few-shot learning (CDFSL) for hyper-spectral image (HSI) classification has attracted significant research interest, existing works often rely on an unrealistic data augmentation procedure in the form of external noise to enlarg... read more 

FOTBCD: A Large-Scale Building Change Detection Benchmark from French Orthophotos and Topographic Data

arXiv
We introduce FOTBCD, a large-scale building change detection dataset derived from authoritative French orthophotos and topographic building data provided by IGN France. Unlike existing benchmarks that are geographically constrained to single cities o... read more 

Local-Global Multimodal Contrastive Learning for Molecular Property Prediction

arXiv
Accurate molecular property prediction requires integrating complementary information from molecular structure and chemical semantics. In this work, we propose LGM-CL, a local-global multimodal contrastive learning framework that jointly models molec... read more 

LINA: Linear Autoregressive Image Generative Models with Continuous Tokens

arXiv
Autoregressive models with continuous tokens form a promising paradigm for visual generation, especially for text-to-image (T2I) synthesis, but they suffer from high computational cost. We study how to design compute-efficient linear attention within... read more 

Training Beyond Convergence: Grokking nnU-Net for Glioma Segmentation in Sub-Saharan MRI

arXiv
Gliomas are placing an increasingly clinical burden on Sub-Saharan Africa (SSA). In the region, the median survival for patients remains under two years, and access to diagnostic imaging is extremely limited. These constraints highlight an urgent nee... read more 

Unsupervised Synthetic Image Attribution: Alignment and Disentanglement

arXiv
As the quality of synthetic images improves, identifying the underlying concepts of model-generated images is becoming increasingly crucial for copyright protection and ensuring model transparency. Existing methods achieve this attribution goal by tr... read more