Search research articles
Contact Us
Filters
Showing results (1-10 of 8) with videos related to
Page
of 1
Sort By:
Sexual Plant Reproduction
|
July 19, 2012
Post-pollination prefertilization drops affect germination rates of heterospecific pollen in larch and Douglas-fir
Patrick von Aderkas, Massimo Nepi, Marlies Rise, et al.
Quantitative Imaging in Medicine and Surgery
|
July 11, 2026
Impact of deep-learning image reconstruction on multiplexed sensitivity encoding diffusion-weighted imaging in the female pelvis
Elaine Yuen Phin Lee, Chia-Wei Li, Grace Ho, et al.
Clinical Imaging
|
November 26, 2025
Comparing prostate diffusion weighted images reconstructed with a commercial deep-learning product to a deep learning phase corrected model at 1.5 T
Rory L Cochran, William R Bradley, Ranjodh S Dhami, et al.
Investigative Radiology
|
January 17, 2025
Motion-Compensated Multishot Pancreatic Diffusion-Weighted Imaging With Deep Learning-Based Denoising
Kang Wang, Matthew J Middione, Andreas M Loening, et al.
Magnetic Resonance in Medicine
|
February 18, 2026
Human Brain High-Resolution Diffusion MRI With Optimized, Slice-By-Slice, Zeroth and First Order <math><semantics><mrow><msub><mrow><mi>B</mi></mrow> <mrow><mn>0</mn></mrow></msub></mrow> <annotation>$$ {B}_0 $$</annotation></semantics></math> Shimming in Head-Only High-Gradient MRI Systems
Patricia Lan, Sherry S Huang, Chitresh Bhushan, et al.
Diagnostics (Basel, Switzerland)
|
March 13, 2025
Assessing Image Quality in Multiplexed Sensitivity-Encoding Diffusion-Weighted Imaging with Deep Learning-Based Reconstruction in Bladder MRI
Seung Ha Cha, Yeo Eun Han, Na Yeon Han, et al.
European Journal of Radiology
|
September 20, 2025
Deep learning based multi-shot breast diffusion MRI: Improving imaging quality and reduced distortion
Ning Chien, Yi-Hsuan Cho, Ming-Yang Wang, et al.
Radiology Advances
|
May 4, 2026
Improved prostate diffusion imaging using deep learning denoising and phase correction with ultra-high-density coil array
Sherry S Huang, Xinzeng Wang, Patricia Lan, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Sexual Plant Reproduction
|
July 19, 2012
Post-pollination prefertilization drops affect germination rates of heterospecific pollen in larch and Douglas-fir
Patrick von Aderkas, Massimo Nepi, Marlies Rise, et al.
Quantitative Imaging in Medicine and Surgery
|
July 11, 2026
Impact of deep-learning image reconstruction on multiplexed sensitivity encoding diffusion-weighted imaging in the female pelvis
Elaine Yuen Phin Lee, Chia-Wei Li, Grace Ho, et al.
Clinical Imaging
|
November 26, 2025
Comparing prostate diffusion weighted images reconstructed with a commercial deep-learning product to a deep learning phase corrected model at 1.5 T
Rory L Cochran, William R Bradley, Ranjodh S Dhami, et al.
Investigative Radiology
|
January 17, 2025
Motion-Compensated Multishot Pancreatic Diffusion-Weighted Imaging With Deep Learning-Based Denoising
Kang Wang, Matthew J Middione, Andreas M Loening, et al.
Magnetic Resonance in Medicine
|
February 18, 2026
Human Brain High-Resolution Diffusion MRI With Optimized, Slice-By-Slice, Zeroth and First Order <math><semantics><mrow><msub><mrow><mi>B</mi></mrow> <mrow><mn>0</mn></mrow></msub></mrow> <annotation>$$ {B}_0 $$</annotation></semantics></math> Shimming in Head-Only High-Gradient MRI Systems
Patricia Lan, Sherry S Huang, Chitresh Bhushan, et al.
Diagnostics (Basel, Switzerland)
|
March 13, 2025
Assessing Image Quality in Multiplexed Sensitivity-Encoding Diffusion-Weighted Imaging with Deep Learning-Based Reconstruction in Bladder MRI
Seung Ha Cha, Yeo Eun Han, Na Yeon Han, et al.
European Journal of Radiology
|
September 20, 2025
Deep learning based multi-shot breast diffusion MRI: Improving imaging quality and reduced distortion
Ning Chien, Yi-Hsuan Cho, Ming-Yang Wang, et al.
Radiology Advances
|
May 4, 2026
Improved prostate diffusion imaging using deep learning denoising and phase correction with ultra-high-density coil array
Sherry S Huang, Xinzeng Wang, Patricia Lan, et al.
Page
of 1