Artificial Intelligence Medical Compendium

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

Showing 56,941 to 56,950 of 227,153 articles

The Ensemble Inverse Problem: Applications and Methods

arXiv Jan 29, 2026
We introduce a new multivariate statistical problem that we refer to as the Ensemble Inverse Problem (EIP). The aim of EIP is to invert for an ensemble that is distributed according to the pushforward of a prior under a forward process. In high energ... read more 
Machine Learning

Urban Neural Surface Reconstruction from Constrained Sparse Aerial Imagery with 3D SAR Fusion

arXiv Jan 29, 2026
Neural surface reconstruction (NSR) has recently shown strong potential for urban 3D reconstruction from multi-view aerial imagery. However, existing NSR methods often suffer from geometric ambiguity and instability, particularly under sparse-view co... read more 
Computer Vision and Pattern Recognition

PLANING: A Loosely Coupled Triangle-Gaussian Framework for Streaming 3D Reconstruction

arXiv Jan 29, 2026
Streaming reconstruction from monocular image sequences remains challenging, as existing methods typically favor either high-quality rendering or accurate geometry, but rarely both. We present PLANING, an efficient on-the-fly reconstruction framework... read more 
Computer Vision and Pattern Recognition

PLANING: A Loosely Coupled Triangle-Gaussian Framework for Streaming 3D Reconstruction

arXiv Jan 29, 2026
Streaming reconstruction from monocular image sequences remains challenging, as existing methods typically favor either high-quality rendering or accurate geometry, but rarely both. We present PLANING, an efficient on-the-fly reconstruction framework... read more 
Computer Vision and Pattern Recognition

MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources

arXiv Jan 29, 2026
Scaling has powered recent advances in vision foundation models, yet extending this paradigm to metric depth estimation remains challenging due to heterogeneous sensor noise, camera-dependent biases, and metric ambiguity in noisy cross-source 3D data... read more 
Computer Vision and Pattern Recognition cs.AI

Unsupervised Decomposition and Recombination with Discriminator-Driven Diffusion Models

arXiv Jan 29, 2026
Decomposing complex data into factorized representations can reveal reusable components and enable synthesizing new samples via component recombination. We investigate this in the context of diffusion-based models that learn factorized latent spaces ... read more 
Computer Vision and Pattern Recognition cs.AI

Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models

arXiv Jan 29, 2026
Multimodal large language models (MLLMs) have achieved remarkable success across a broad range of vision tasks. However, constrained by the capacity of their internal world knowledge, prior work has proposed augmenting MLLMs by ``reasoning-then-tool-... read more 
Computer Vision and Pattern Recognition cs.AI

BLO-Inst: Bi-Level Optimization Based Alignment of YOLO and SAM for Robust Instance Segmentation

arXiv Jan 29, 2026
The Segment Anything Model has revolutionized image segmentation with its zero-shot capabilities, yet its reliance on manual prompts hinders fully automated deployment. While integrating object detectors as prompt generators offers a pathway to autom... read more 
Computer Vision and Pattern Recognition

Where Do the Joules Go? Diagnosing Inference Energy Consumption

arXiv Jan 29, 2026
Energy is now a critical ML computing resource. While measuring energy consumption and observing trends is a valuable first step, accurately understanding and diagnosing why those differences occur is crucial for optimization. To that end, we begin b... read more 
Machine Learning cs.DC

Where Do the Joules Go? Diagnosing Inference Energy Consumption

arXiv Jan 29, 2026
Energy is now a critical ML computing resource. While measuring energy consumption and observing trends is a valuable first step, accurately understanding and diagnosing why those differences occur is crucial for optimization. To that end, we begin b... read more 
Machine Learning cs.DC
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