Artificial Intelligence Medical Compendium

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

Showing 31,911 to 31,920 of 220,797 articles

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling

arXiv Apr 13, 2026
Continuous diffusion has been the foundation of high-fidelity, controllable, and few-step generation of many data modalities such as images. However, in language modeling, prior continuous diffusion language models (DLMs) lag behind discrete counterp... read more 
Computation and Language cs.LG

MosaicMRI: A Diverse Dataset and Benchmark for Raw Musculoskeletal MRI

arXiv Apr 13, 2026
Deep learning underpins a wide range of applications in MRI, including reconstruction, artifact removal, and segmentation. However, progress has been driven largely by public datasets focused on brain and knee imaging, shaping how models are trained ... read more 
Computer Vision and Pattern Recognition cs.LG eess.SP physics.med-ph stat.ML

Efficient KernelSHAP Explanations for Patch-based 3D Medical Image Segmentation

arXiv Apr 13, 2026
Perturbation-based explainability methods such as KernelSHAP provide model-agnostic attributions but are typically impractical for patch-based 3D medical image segmentation due to the large number of coalition evaluations and the high cost of sliding... read more 
Computer Vision and Pattern Recognition cs.AI

HDR Video Generation via Latent Alignment with Logarithmic Encoding

arXiv Apr 13, 2026
High dynamic range (HDR) imagery offers a rich and faithful representation of scene radiance, but remains challenging for generative models due to its mismatch with the bounded, perceptually compressed data on which these models are trained. A natura... read more 
Computer Vision and Pattern Recognition

LottieGPT: Tokenizing Vector Animation for Autoregressive Generation

arXiv Apr 13, 2026
Despite rapid progress in video generation, existing models are incapable of producing vector animation, a dominant and highly expressive form of multimedia on the Internet. Vector animations offer resolution-independence, compactness, semantic struc... read more 
Computer Vision and Pattern Recognition

SyncFix: Fixing 3D Reconstructions via Multi-View Synchronization

arXiv Apr 13, 2026
We present SyncFix, a framework that enforces cross-view consistency during the diffusion-based refinement of reconstructed scenes. SyncFix formulates refinement as a joint latent bridge matching problem, synchronizing distorted and clean representat... read more 
Computer Vision and Pattern Recognition

Budget-Aware Uncertainty for Radiotherapy Segmentation QA Using nnU-Net

arXiv Apr 13, 2026
Accurate delineation of the Clinical Target Volume (CTV) is essential for radiotherapy planning, yet remains time-consuming and difficult to assess, especially for complex treatments such as Total Marrow and Lymph Node Irradiation (TMLI). While deep ... read more 
Computer Vision and Pattern Recognition cs.AI

OmniShow: Unifying Multimodal Conditions for Human-Object Interaction Video Generation

arXiv Apr 13, 2026
In this work, we study Human-Object Interaction Video Generation (HOIVG), which aims to synthesize high-quality human-object interaction videos conditioned on text, reference images, audio, and pose. This task holds significant practical value for au... read more 
Computer Vision and Pattern Recognition

Who Handles Orientation? Investigating Invariance in Feature Matching

arXiv Apr 13, 2026
Finding matching keypoints between images is a core problem in 3D computer vision. However, modern matchers struggle with large in-plane rotations. A straightforward mitigation is to learn rotation invariance via data augmentation. However, it remain... read more 
Computer Vision and Pattern Recognition

MedConcept: Unsupervised Concept Discovery for Interpretability in Medical VLMs

arXiv Apr 13, 2026
While medical Vision-Language models (VLMs) achieve strong performance on tasks such as tumor or organ segmentation and diagnosis prediction, their opaque latent representations limit clinical trust and the ability to explain predictions. Interpretab... read more 
Computer Vision and Pattern Recognition
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