Roger Engelmann - Concepedia

Author

Roger Engelmann

University of Chicago ORCID

Also Known As

Jaroslav Kucera, R Engelmann, R. Engelmann, R. M. Engelmann, Roger Engelmann, Roger M. Engelmann

Publications

Citations

H-Index

Concepts

All Affiliations

University of Chicago University of Michigan University of Iowa Cornell University University of California, Los Angeles

About

Roger Engelmann is an author at University of Chicago specializing in medical imaging, radiology, and medical image computing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	12	715
2	Health Sciences	10	10	604
3	Medicine	7	7	369
4	Natural Sciences	1	1	80
5	Public Health	1	1	75

Roger Engelmann

Publications

4.7K

Citations

H-Index

Page 1

	Year	Citations
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans Samuel G. Armato, Geoffrey McLennan, Luc Bidaut, Medical Physics	2011	2.7K
The Lung Image Database Consortium (LIDC) Data Collection Process for Nodule Detection and Annotation Michael F. McNitt‐Gray, Samuel G. Armato, Charles R. Meyer, Academic Radiology Nodule DetectionData Collection ProcessMachine VisionImage AnalysisMedical Imaging	2007	219
Vardenafil increases penile rigidity and tumescence in erectile dysfunction patients: a RigiScan and pharmacokinetic study T. Klotz, Richard Sachse, Albert Heidrich, World Journal of Urology UrologyErectile DysfunctionPenile RigidityMedicinePharmacokinetic Study	2001	163
Computerized Analysis of the Likelihood of Malignancy in Solitary Pulmonary Nodules with Use of Artificial Neural Networks Katsumi Nakamura, Hiroyuki Yoshida, Roger Engelmann, Radiology	2000	146
LUNGx Challenge for computerized lung nodule classification Samuel G. Armato, Karen Drukker, Feng Li, Journal of Medical Imaging	2016	124
Computer-aided Diagnosis of Pulmonary Nodules: Results of a Large-Scale Observer Test Heber MacMahon, Roger Engelmann, Fred M. Behlen, Radiology	1999	123
Computer-aided Detection of Peripheral Lung Cancers Missed at CT: ROC Analyses without and with Localization Li Feng, Hidetaka Arimura, Kenji Suzuki, Radiology	2005	119
The Lung Image Database Consortium (LIDC): An Evaluation of Radiologist Variability in the Identification of Lung Nodules on CT Scans Samuel G. Armato, Michael F. McNitt‐Gray, Anthony P. Reeves, Academic Radiology EngineeringMedical ImagingRadiologist VariabilityMedical Image ComputingDiagnosis	2007	101
Radiologists' Performance for Differentiating Benign from Malignant Lung Nodules on High-Resolution CT Using Computer-Estimated Likelihood of Malignancy Feng Li, Masahito Aoyama, Junji Shiraishi, American Journal of Roentgenology	2004	98
Segmentation of pulmonary nodules in three‐dimensional CT images by use of a spiral‐scanning technique Jiahui Wang, Roger Engelmann, Qiang Li Medical Physics Computed TomographyEngineeringBiomedical EngineeringSpiral‐scanning TechniqueAccurate Segmentation	2007	80

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