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2 years ago in Base Papers , Starting up PhD By Vinod D

What’s the best strategy to find base papers for an interdisciplinary topic, like applying AI in healthcare diagnostics?

My PhD sits at the intersection of Machine Learning and Medical Imaging. The fields are vast. How do I efficiently locate the core papers from both domains that will form the legitimate foundation for my hybrid research?

MachineLearning InterdisciplinaryResearch

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By Keerthi Gupta Answered 1 year ago

For interdisciplinary work, I’ve found a two-pronged approach works best. First, identify key review papers in each parent field (e.g., "Deep Learning in Medical Image Analysis" surveys in IEEE TMI and foundational ML surveys in JMLR). These are your treasure maps. Second, look for pioneering authors who bridge the gap—researchers who publish in both top-tier CS conferences (CVPR, NeurIPS) and clinical journals. Their early papers are often your true base papers. Don't just rely on one database; search PubMed for the clinical perspective and arXiv/Google Scholar for the ML angle. This ensures your foundation is respected in both communities.

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