Jacob Furst

96 papers and 762 indexed citations i.

Jacob Furst has authored 96 papers that have received a total of 762 indexed citations. This includes 38 papers in Radiology, Nuclear Medicine and Imaging, 37 papers in Artificial Intelligence and 28 papers in Computer Vision and Pattern Recognition. The topics of these papers are Radiomics and Machine Learning in Medical Imaging (29 papers), AI in cancer detection (25 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (16 papers). Jacob Furst is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (29 papers), AI in cancer detection (25 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (16 papers) and collaborates with scholars based in United States, Norway and United Kingdom. Jacob Furst's co-authors include Daniela Raicu, Leonard A. Jason, Madison Sunnquist, Abigail Brown and David S. Channin and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Clinical Psychology.