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@Marktechpost 1 year ago
A Research Group from Stanford Studied the Possible Fine-Tuning Techniques to Generalize Latent Diffusion Models for Medical Imaging Domains Quick Read: https://www.marktechpost.com/2023/03/30/a-research-group-from-stanford-studied-the-possible-fine-tuning-techniques-to-generalize-latent-diffusion-models-for-medical-imaging-domains/ Paper: https://arxiv.org/pdf/2210.04133.pdf #ArtificialIntelligence #MachineLearning
@NUFeinbergMed 1 year ago
We are thrilled to announce that third-year medical student Jonathan Huang was the first author of a paper exploring best practices for reducing biases in clinical #MachineLearning research. @JMIR_MedInform http://spr.ly/6014MUHA6
@kelkalot 3 years ago
The paper describing one of our biggest datasets so far is now published: https://www.nature.com/articles/s41597-020-00622-y Hopefully it will inspire people to create reproducible and shareable research in #AI and #Medicine Blogpost: https://researchdata.springernature.com/posts/hyperkvasir-data-to-enable-ai-for-automated-gi-disease-detection #GI #MachineLearning
@OrodRazeghi 3 years ago
Happy Friday CemrgAppers! CemrgApp's paper is out. Don't forget to cite us, if you use our interactive medical imaging platform for your cardiovascular research :) https://www.sciencedirect.com/science/article/pii/S2352711020302831 #CemrgApp #MedicalImaging #ComputerVision #MachineLearning