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Found 4 papers, 2 papers with code
Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection
For the second cohort, follow-up data of 311 patients was used to examine progression prediction capabilities.
MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CT
A human-in-the-loop annotation workflow was employed, leveraging cross-modality transfer learning from an existing CT segmentation model to segment 40 anatomical structures.
Improve Cross-Modality Segmentation by Treating T1-Weighted MRI Images as Inverted CT Scans
In this study, we show that a simple image inversion technique can significantly improve the segmentation quality of CT segmentation models on MRI data.
Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports
While recent publications have explored GPT-4 in its application to extracting information of interest from radiology reports, there has not been a real-world comparison of GPT-4 to different leading open-source models.
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