Artificial Intelligence Medical Compendium

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

Showing 40,151 to 40,160 of 223,737 articles

TinyML Enhances CubeSat Mission Capabilities

arXiv Mar 20, 2026
Earth observation (EO) missions traditionally rely on transmitting raw or minimally processed imagery from satellites to ground stations for computationally intensive analysis. This paradigm is infeasible for CubeSat systems due to stringent constrai... read more 
Computer Vision and Pattern Recognition

Improving Image-to-Image Translation via a Rectified Flow Reformulation

arXiv Mar 20, 2026
In this work, we propose Image-to-Image Rectified Flow Reformulation (I2I-RFR), a practical plug-in reformulation that recasts standard I2I regression networks as continuous-time transport models. While pixel-wise I2I regression is simple, stable, an... read more 
Computer Vision and Pattern Recognition

Wildfire Spread Scenarios: Increasing Sample Diversity of Segmentation Diffusion Models with Training-Free Methods

arXiv Mar 20, 2026
Predicting future states in uncertain environments, such as wildfire spread, medical diagnosis, or autonomous driving, requires models that can consider multiple plausible outcomes. While diffusion models can effectively learn such multi-modal distri... read more 
Computer Vision and Pattern Recognition

Deterministic Mode Proposals: An Efficient Alternative to Generative Sampling for Ambiguous Segmentation

arXiv Mar 20, 2026
Many segmentation tasks, such as medical image segmentation or future state prediction, are inherently ambiguous, meaning that multiple predictions are equally correct. Current methods typically rely on generative models to capture this uncertainty. ... read more 
Computer Vision and Pattern Recognition

From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering

arXiv Mar 20, 2026
Existing tampering detection benchmarks largely rely on object masks, which severely misalign with the true edit signal: many pixels inside a mask are untouched or only trivially modified, while subtle yet consequential edits outside the mask are tre... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

EvidenceRL: Reinforcing Evidence Consistency for Trustworthy Language Models

arXiv Mar 20, 2026
Large Language Models (LLMs) are fluent but prone to hallucinations, producing answers that appear plausible yet are unsupported by available evidence. This failure is especially problematic in high-stakes domains where decisions must be justified by... read more 
Computation and Language cs.IR cs.LG

MoCA3D: Monocular 3D Bounding Box Prediction in the Image Plane

arXiv Mar 20, 2026
Monocular 3D object understanding has largely been cast as a 2D RoI-to-3D box lifting problem. However, emerging downstream applications require image-plane geometry (e.g., projected 3D box corners) which cannot be easily obtained without known intri... read more 
Computer Vision and Pattern Recognition

SeeClear: Reliable Transparent Object Depth Estimation via Generative Opacification

arXiv Mar 20, 2026
Monocular depth estimation remains challenging for transparent objects, where refraction and transmission are difficult to model and break the appearance assumptions used by depth networks. As a result, state-of-the-art estimators often produce unsta... read more 
Computer Vision and Pattern Recognition

StreetForward: Perceiving Dynamic Street with Feedforward Causal Attention

arXiv Mar 20, 2026
Feedforward reconstruction is crucial for autonomous driving applications, where rapid scene reconstruction enables efficient utilization of large-scale driving datasets in closed-loop simulation and other downstream tasks, eliminating the need for t... read more 
Computer Vision and Pattern Recognition

Wearable Foundation Models Should Go Beyond Static Encoders

arXiv Mar 20, 2026
Wearable foundation models (WFMs), trained on large volumes of data collected by affordable, always-on devices, have demonstrated strong performance on short-term, well-defined health monitoring tasks, including activity recognition, fitness tracking... read more 
Machine Learning
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