 Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Fred Prior and Michael Rutherford.
|
|
| |
Connection Strength |
|
 |
|
 |
| |
1.471 |
|
|
|
-
Rutherford M, Mun SK, Levine B, Bennett W, Smith K, Farmer P, Jarosz Q, Wagner U, Freyman J, Blake G, Tarbox L, Farahani K, Prior F. A DICOM dataset for evaluation of medical image de-identification. Sci Data. 2021 07 16; 8(1):183.
Score: 0.757
-
Baghal A, Saltz J, Kurc T, Prasanna P, Baghal S, Hajagos J, Bremer E, Al-Shukri S, Kennedy JL, Rutherford M, Nolan T, Smith K, Chute CG, Prior F. Linking The Cancer Imaging Archive and GenBank to the National Clinical Cohort Collaborative. Learn Health Syst. 2025 Jan; 9(1):e10457.
Score: 0.236
-
Desai S, Baghal A, Wongsurawat T, Jenjaroenpun P, Powell T, Al-Shukri S, Gates K, Farmer P, Rutherford M, Blake G, Nolan T, Sexton K, Bennett W, Smith K, Syed S, Prior F. Chest imaging representing a COVID-19 positive rural U.S. population. Sci Data. 2020 11 24; 7(1):414.
Score: 0.181
-
McGoogan KE, Haafiz AB, Gonz?lez Peralta RP. Herpes simplex virus hepatitis in infants: clinical outcomes and correlates of disease severity. J Pediatr. 2011 Oct; 159(4):608-11.
Score: 0.093
-
McGoogan KE, Haafiz AB, Gonz?lez Peralta RP. Herpes simplex virus hepatitis in infants: clinical outcomes and correlates of disease severity. J Pediatr. 2011 Oct; 159(4):608-11.
Score: 0.093
-
Kondylakis H, Catalan R, Alabart SM, Barelle C, Bizopoulos P, Bobowicz M, Bona J, Fotiadis DI, Garcia T, Gomez I, Jimenez-Pastor A, Karatzanis G, Lekadir K, Kogut-Czarkowska M, Lalas A, Marias K, Marti-Bonmati L, Munuera J, Nikiforaki K, Pelissier M, Prior F, Rutherford M, Saint-Aubert L, Sakellariou Z, Seymour K, Trouillard T, Votis K, Tsiknakis M. Documenting the de-identification process of clinical and imaging data for AI for health imaging projects. Insights Imaging. 2024 May 31; 15(1):130.
Score: 0.058
-
Osuala R, Skorupko G, Lazrak N, Garrucho L, Garc?a E, Joshi S, Jouide S, Rutherford M, Prior F, Kushibar K, D?az O, Lekadir K. medigan: a Python library of pretrained generative models for medical image synthesis. J Med Imaging (Bellingham). 2023 Nov; 10(6):061403.
Score: 0.053
|
Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
|