Jacob Furst

93 papers and 730 indexed citations i.

Jacob Furst has authored 93 papers that have received a total of 730 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 Image Retrieval and Classification Techniques (15 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 Image Retrieval and Classification Techniques (15 papers) and collaborates with scholars based in United States, Norway and United Kingdom. Jacob Furst's co-authors include Daniela Raicu, Madison Sunnquist, Leonard A. Jason, Abigail Brown and David S. Channin and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Clinical Psychology