Concepedia
Statistics
Publications
4
Citations
177
H-Index
Active since
2008
Affiliations
Columbia University(Current)
Philips (United States)
Columbia University Irving Medical Center
Philips (Finland)
Cornell University
Kivilcim Sungur-Stasik is an author at Columbia University specializing in feature selection, pattern recognition, and engineering.
Top concepts
HealthDiagnosisRadiologyData MiningEngineeringData ScienceMedical ImagingMachine LearningFeature SelectionPattern Recognition
Publications per year
2008–2017
Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction
Michael Lee, Lilla Boroczky, Kivilcim Sungur-Stasik et al. · Artificial Intelligence in Medicine · 2010 · 128 citations
Engineering, Machine Learning, Data Science +14
Variation by stage in the effects of prediagnosis weight loss on mortality in a prospective cohort of esophageal cancer patients
Sherry Shen, James L. Araujo, Nasser K. Altorki et al. · Diseases of the Esophagus · 2017 · 20 citations · Full text
Obesity, Esophageal Cancer Patients, Esophagus +14
A Two-Step Approach for Feature Selection and Classifier Ensemble Construction in Computer-Aided Diagnosis
Michael Lee, Lilla Boroczky, Kivilcim Sungur-Stasik et al. · 2008 · 17 citations
Engineering, Machine Learning, Diagnosis +22
Prediagnosis aspirin use and outcomes in a prospective cohort of esophageal cancer patients
James L. Araujo, Nasser K. Altorki, Joshua Sonett et al. · Therapeutic Advances in Gastroenterology · 2016 · 12 citations · Full text
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