Style | Citing Format |
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MLA | Khodajouchokami H, Hosseini SA, Ay MR. "A Deep Learning Method for High-Quality Ultra-Fast Ct Image Reconstruction From Sparsely Sampled Projections." Nuclear Instruments and Methods in Physics Research# Section A: Accelerators# Spectrometers# Detectors and Associated Equipment, vol. 1029, no. , 2022, pp. -. |
APA | Khodajouchokami H, Hosseini SA, Ay MR (2022). A Deep Learning Method for High-Quality Ultra-Fast Ct Image Reconstruction From Sparsely Sampled Projections. Nuclear Instruments and Methods in Physics Research# Section A: Accelerators# Spectrometers# Detectors and Associated Equipment, 1029(), -. |
Chicago | Khodajouchokami H, Hosseini SA, Ay MR. "A Deep Learning Method for High-Quality Ultra-Fast Ct Image Reconstruction From Sparsely Sampled Projections." Nuclear Instruments and Methods in Physics Research# Section A: Accelerators# Spectrometers# Detectors and Associated Equipment 1029, no. (2022): -. |
Harvard | Khodajouchokami H, Hosseini SA, Ay MR (2022) 'A Deep Learning Method for High-Quality Ultra-Fast Ct Image Reconstruction From Sparsely Sampled Projections', Nuclear Instruments and Methods in Physics Research# Section A: Accelerators# Spectrometers# Detectors and Associated Equipment, 1029(), pp. -. |
Vancouver | Khodajouchokami H, Hosseini SA, Ay MR. A Deep Learning Method for High-Quality Ultra-Fast Ct Image Reconstruction From Sparsely Sampled Projections. Nuclear Instruments and Methods in Physics Research# Section A: Accelerators# Spectrometers# Detectors and Associated Equipment. 2022;1029():-. |
BibTex | @article{ author = {Khodajouchokami H and Hosseini SA and Ay MR}, title = {A Deep Learning Method for High-Quality Ultra-Fast Ct Image Reconstruction From Sparsely Sampled Projections}, journal = {Nuclear Instruments and Methods in Physics Research# Section A: Accelerators# Spectrometers# Detectors and Associated Equipment}, volume = {1029}, number = {}, pages = {-}, year = {2022} } |
RIS | TY - JOUR AU - Khodajouchokami H AU - Hosseini SA AU - Ay MR TI - A Deep Learning Method for High-Quality Ultra-Fast Ct Image Reconstruction From Sparsely Sampled Projections JO - Nuclear Instruments and Methods in Physics Research# Section A: Accelerators# Spectrometers# Detectors and Associated Equipment VL - 1029 IS - SP - EP - PY - 2022 ER - |