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Found 6 papers, 2 papers with code
A Generalizable Deep Learning System for Cardiac MRI
Cardiac MRI allows for a comprehensive assessment of myocardial structure, function, and tissue characteristics.
Echocardiogram Foundation Model -- Application 1: Estimating Ejection Fraction
Cardiovascular diseases stand as the primary global cause of mortality.
Med-Flamingo: a Multimodal Medical Few-shot Learner
However, existing models typically have to be fine-tuned on sizeable down-stream datasets, which poses a significant limitation as in many medical applications data is scarce, necessitating models that are capable of learning from few examples in real-time.
Creating Realistic Anterior Segment Optical Coherence Tomography Images using Generative Adversarial Networks
This paper presents the development and validation of a Generative Adversarial Network (GAN) purposed to create high-resolution, realistic Anterior Segment Optical Coherence Tomography (AS-OCT) images.
Almanac: Retrieval-Augmented Language Models for Clinical Medicine
Large-language models have recently demonstrated impressive zero-shot capabilities in a variety of natural language tasks such as summarization, dialogue generation, and question-answering.
MammoGANesis: Controlled Generation of High-Resolution Mammograms for Radiology Education
During their formative years, radiology trainees are required to interpret hundreds of mammograms per month, with the objective of becoming apt at discerning the subtle patterns differentiating benign from malignant lesions.
