1 research outputs found
Deep learning in breast radiology: current progress and future directions
- Author
- A Akselrod-Ballin
- A Ciritsis
- A Kohli
- A Krizhevsky
- A Rodriguez-Ruiz
- A RodrÃguez-Ruiz
- A Voulodimos
- A Yala
- A Yala
- AS Becker
- B Cheng
- B Shi
- C Balleyguier
- CD Lehman
- CJ D’Orsi
- D Bernardi
- D Coronado-Gutiérrez
- D Gur
- D Truhn
- DA Bluemke
- DA Bluemke
- E Alberdi
- E Stoffel
- E-K Kim
- EF Conant
- EL Henriksen
- EY Chae
- G Haskins
- GE Hinton
- H Chougrad
- H Feng
- H-E Kim
- H-M Zhang
- J Arevalo
- J Katzen
- J Shi
- J Zhou
- J Zhou
- J-Z Cheng
- JD Keen
- JG Elmore
- JJ Fenton
- JJ Fenton
- JR Geis
- K Dembrower
- K Goddard
- K Ren
- L Shen
- L-Q Zhou
- LE Philpotts
- M Nagendran
- M Xiao
- MA Al-Antari
- MU DalmiÅŸ
- N Antropova
- N Wu
- O Jonmarker
- O Russakovsky
- P Hamet
- P Pattacini
- P Teare
- PA Dang
- Q Sun
- R Ha
- R Ha
- R Rasti
- R Salakhutdinov
- RA Benedikt
- RC Deo
- RC Mayo
- RE Sharpe
- RK Samala
- RM Mann
- S Han
- S Mutasa
- SM Durfee
- SM McKinney
- T Fujioka
- T Kooi
- T Ren
- T Schaffter
- VS Parekh
- W Rawat
- W Sun
- W Zhang
- X Li
- X Wang
- X Zhang
- Y Huang
- Y LeCun
- Y-H Qu
- Z Cao
- Z Zhu
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- Field of study