Search Results for author:
Found 4 papers, 2 papers with code
Advancing High Resolution Vision-Language Models in Biomedicine
Multi-modal learning has significantly advanced generative AI, especially in vision-language modeling.
Language Models are Few-shot Learners for Prognostic Prediction
Clinical prediction is an essential task in the healthcare industry.
Masked Image Modeling Advances 3D Medical Image Analysis
Recently, masked image modeling (MIM) has gained considerable attention due to its capacity to learn from vast amounts of unlabeled data and has been demonstrated to be effective on a wide variety of vision tasks involving natural images.
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
Two datasets containing a total of 374 multi-detector CT scans from 355 patients were prepared and 4505 vertebrae have individually been annotated at voxel-level by a human-machine hybrid algorithm (https://osf. io/nqjyw/, https://osf. io/t98fz/).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
