Michael D. Feldman
About
Michael D. Feldman has authored 258 papers that have received a total of 13.2k indexed citations.
This includes 64 papers in Oncology, 58 papers in Molecular Biology and 52 papers in Artificial Intelligence. The topics of these papers are AI in cancer detection (50 papers), Radiomics and Machine Learning in Medical Imaging (32 papers) and Medical Image Segmentation Techniques (23 papers). Michael D. Feldman is often cited by papers focused on AI in cancer detection (50 papers), Radiomics and Machine Learning in Medical Imaging (32 papers) and Medical Image Segmentation Techniques (23 papers) and collaborates with scholars based in United States, Switzerland and China. Michael D. Feldman's co-authors include Anant Madabhushi, Natalie Shih, Mark Rosen, Angela DeMichele and John Tomaszewski and has published in prestigious journals such as Cell, Circulation and Journal of Clinical Investigation.
In The Last Decade
Fields of papers published by Michael D. Feldman
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
Countries citing papers authored by Michael D. Feldman
Since SpecializationCitations
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