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Daniel Golden
Dan is the Director of Machine Learning at Arterys, a startup focused on streamlining the practice of medical image interpretation and post-processing. After receiving a PhD in Electrical Engineering from Stanford, he stuck around for a postdoc, focusing on using machine learning to predict outcomes and disease characteristics in cancer patients.
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participated_inDBTB INT Daniel Golden rtalk ↗participated_inai.bythebay.io: Daniel Golden Interviewtalk ↗presentedDBTB INT Daniel Golden rtalk ↗presentedai.bythebay.io: Daniel Golden Interviewtalk ↗authoredAdvancing Multimodal Medical Capabilities of Geminipaper ↗authoredAn empirical model of magnetospheric chorus amplitude using solar wind and geomagnetic indicespaper ↗authoredArtificial intelligence as a second reader for screening mammographypaper ↗authoredClinical Performance and Role of Expert Supervision of Deep Learning for Cardiac Ventricular Volumetry: A Validation Study.paper ↗authoredCoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understandingpaper ↗authoredComputationally Efficient Cardiac Views Projection Using 3D Convolutional Neural Networkspaper ↗authoredCorrespondence between a plasma‐based EMIC wave proxy and subauroral proton precipitationpaper ↗authoredDayside auroral hiss observed at South Pole Stationpaper ↗