Concepedia

Author

John Freymann

Frederick National Laboratory for Cancer ResearchORCID

Also Known As

Christos Davatzikos, Davatzikos, Christos, Farahani, Keyvan, Freymann, John, Freymann, John B., J Freymann, J. Freymann, Jacques Freymann, John B. Freymann, John Blake Freymann

69

Publications

13.2K

Citations

29

H-Index

46

Concepts

All Affiliations

Frederick National Laboratory for Cancer ResearchThe University of Texas MD Anderson Cancer CenterLeidos (United States)National Cancer InstituteScience Applications International Corporation (United States)
JF

About

John Freymann is an author at Frederick National Laboratory for Cancer Research specializing in radiology, engineering, and medical imaging.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Engineering

6

6

4.9K

2

Data Science

5

5

409

3

Medicine

4

4

300

4

Health Sciences

3

3

4.7K

5

Computer Science

1

1

42

John Freymann

×

32

Publications

12.6K

Citations

27

H-Index

YearCitations

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

Kenneth Clark, Bruce A. Vendt, Kirk Smith,

Journal of Digital Imaging

2013

4.5K

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras,

Scientific Data

2017

2.8K

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

MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set

David A. Gutman, Lee Cooper, Scott N. Hwang,

Radiology

2013

411

Outcome Prediction in Patients with Glioblastoma by Using Imaging, Clinical, and Genomic Biomarkers: Focus on the Nonenhancing Component of the Tumor

Rajan Jain, Laila Poisson, David A. Gutman,

Radiology

2014

229

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

2007

219

Histopathologic and proteogenomic heterogeneity reveals features of clear cell renal cell carcinoma aggressiveness

Yize Li, T. Mamie Lih, Saravana M. Dhanasekaran,

Cancer Cell

2022

183

The public cancer radiology imaging collections of The Cancer Imaging Archive

Fred Prior, Kirk Smith, Ashish Sharma,

Scientific Data

2017

142

Genomic Mapping and Survival Prediction in Glioblastoma: Molecular Subclassification Strengthened by Hemodynamic Imaging Biomarkers

Rajan Jain, Laila Poisson, Jayant Narang,

Radiology

2012

138

Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients

Manal Nicolas‐Jilwan, Ying Hu, Chunhua Yan,

Journal of Neuroradiology

2014

134

Page 1