Artificial Intelligence Medical Compendium

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

Showing 31,641 to 31,650 of 220,544 articles

On the Robustness of Watermarking for Autoregressive Image Generation

arXiv
The proliferation of autoregressive (AR) image generators demands reliable detection and attribution of their outputs to mitigate misinformation, and to filter synthetic images from training data to prevent model collapse. To address this need, water... read more 

The Devil is in the Details -- From OCR for Old Church Slavonic to Purely Visual Stemma Reconstruction

arXiv
The age of artificial intelligence has brought many new possibilities and pitfalls in many fields and tasks. The devil is in the details, and those come to the fore when building new pipelines and executing small practical experiments. OCR and stemma... read more 

Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions

arXiv
Using behavioural science, health interventions focus on behaviour change by providing a framework to help patients acquire and maintain healthy habits that improve medical outcomes. In-person interventions are costly and difficult to scale, especial... read more 

Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions

arXiv
Using behavioural science, health interventions focus on behaviour change by providing a framework to help patients acquire and maintain healthy habits that improve medical outcomes. In-person interventions are costly and difficult to scale, especial... read more 

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling

arXiv
Continuous diffusion models have achieved strong performance across domains such as images. However, in language modeling, prior continuous diffusion language models (DLMs) lag behind discrete counterparts. In this work, we close this gap with LangFl... read more 

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling

arXiv
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 

MosaicMRI: A Diverse Dataset and Benchmark for Raw Musculoskeletal MRI

arXiv
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 

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

arXiv
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 

HDR Video Generation via Latent Alignment with Logarithmic Encoding

arXiv
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 

LottieGPT: Tokenizing Vector Animation for Autoregressive Generation

arXiv
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