Artificial Intelligence Medical Compendium

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

Showing 21,441 to 21,450 of 216,348 articles

Steering Visual Generation in Unified Multimodal Models with Understanding Supervision

arXiv
Unified multimodal models are envisioned to bridge the gap between understanding and generation. Yet, to achieve competitive performance, state-of-the-art models adopt largely decoupled understanding and generation components. This design, while effe... read more 

Stego Battlefield: Evaluating Image Steganography Attacks and Steganalysis Defenses

arXiv
Image steganography is widely used to protect user privacy and enable covert communication. However, it can also be abused by the adversary as a covert channel to bypass content moderation, disseminate harmful semantics, and even hide malicious instr... read more 

CXR-ContraBench: Benchmarking Negated-Option Attraction in Medical VLMs

arXiv
When a chest X-ray shows consolidation but the question asks which finding is present, a medical vision-language model may answer "No consolidation." This is more than an incorrect choice: it is a polarity reversal that emits a clinical statement con... read more 

VideoRouter: Query-Adaptive Dual Routing for Efficient Long-Video Understanding

arXiv
Video large multimodal models increasingly face a scalability bottleneck: long videos produce excessively long visual-token sequences, which sharply increase memory and latency during inference. While existing compression methods are effective in spe... read more 

VideoRouter: Query-Adaptive Dual Routing for Efficient Long-Video Understanding

arXiv
Video large multimodal models increasingly face a scalability bottleneck: long videos produce excessively long visual-token sequences, which sharply increase memory and latency during inference. While existing compression methods are effective in spe... read more 

3DSS: 3D Surface Splatting for Inverse Rendering

arXiv
We present 3D Surface Splatting (3DSS), the first differentiable surface splatting renderer for physically-based inverse rendering from multi-view images. Our central insight is that the surface separation problem at the heart of surface splatting ad... read more 

3DSS: 3D Surface Splatting for Inverse Rendering

arXiv
We present 3D Surface Splatting (3DSS), the first differentiable surface splatting renderer for physically-based inverse rendering from multi-view images. Our central insight is that the surface separation problem at the heart of surface splatting ad... read more 

DBMSolver: A Training-free Diffusion Bridge Sampler for High-Quality Image-to-Image Translation

arXiv
Diffusion-based image-to-image (I2I) translation excels in high-fidelity generation but suffers from slow sampling in state-of-the-art Diffusion Bridge Models (DBMs), often requiring dozens of function evaluations (NFEs). We introduce DBMSolver, a tr... read more 

RepFlow: Representation Enhanced Flow Matching for Causal Effect Estimation

arXiv
Estimating causal effects from observational data has become increasingly critical in diverse fields including healthcare, economics, and social policy. The fundamental challenge in causal inference arises from the missing counterfactuals and the sel... read more 

MTL-MAD: Multi-Task Learners are Effective Medical Anomaly Detectors

arXiv
Anomaly detection in medical images is a challenging task, since anomalies are not typically available during training. Recent methods leverage a single pretext task coupled with a large-scale pre-trained model to reach state-of-the-art performance. ... read more