Results 81 to 90 of about 412,052 (160)

Cardiac MR image reconstruction using cascaded hybrid dual domain deep learning framework.

PLoS ONE
Recovering diagnostic-quality cardiac MR images from highly under-sampled data is a current research focus, particularly in addressing cardiac and respiratory motion.
Madiha Arshad, Faisal Najeeb, Rameesha Khawaja, Amna Ammar, Kashif Amjad, Hammad Omer   +5 more
doaj   +1 more source

A priori reconstruction of Thermal-Large Eddy Simulation (T-LES) by Deep Learning Reconstruction a priori de champs de Simulations des Grandes Echelles Thermiques par Apprentissage Profond

Entropie, 2023
Yanis Zatout, Adrien Toutant, Onofrio Semeraro, Lionel Mathelin, Françoise Bataille   +4 more
doaj   +1 more source

Deep learning CT reconstruction improves liver metastases detection

Insights into Imaging
Objectives Detection of liver metastases is crucial for guiding oncological management. Computed tomography through iterative reconstructions is widely used in this indication but has certain limitations.
Achraf Kanan, Bruno Pereira, Constance Hordonneau, Lucie Cassagnes, Eléonore Pouget, Léon Appolinaire Tianhoun, Benoît Chauveau, Benoît Magnin   +7 more
doaj   +1 more source

Deep Learning Reconstruction Enables Diagnostic-Quality 0.4T Knee and Spine MRI in One-Third of the Time. [PDF]

NMR Biomed
van den Berg DM, Varriale R, Ferrando F, Traverso P, Balbi L, Belgiorno G, Beekman K, Kox L, Strijkers GJ, Caan MWA.   +9 more
europepmc   +1 more source

Deep Learning Reconstruction Enhances Lung Cancer CT Imaging. [PDF]

Cureus
Osaki T, Tamura A, Abe S, Yoshioka K.
europepmc   +1 more source

Comparison of respiratory-gated and breath‑hold accelerated T2-weighted sequences for liver MRI with deep learning reconstruction. [PDF]

Eur Radiol Exp
Li H, Hu C, Wang Q, Luo Y, Chen G, Hu X, Song X, Tang R, Liu Q, Yang Y, Li Z.   +10 more
europepmc   +1 more source

Highly Accelerated T_1ρ Imaging in 3 min: Comparison Between Compressed Sensing and Deep Learning Reconstruction. [PDF]

NMR Biomed
Kim J, Li H, Liu R, Zhang Z, Yang M, Winalski CS, Subhas N, Ying L, Li X.   +8 more
europepmc   +1 more source

Deep Image Compressive Sensing Reconstruction Based on Range‒Null Space Decomposition

工程科学与技术
Image compressive sensing (ICS) reconstructs high-quality images from low-sampling observations. Applying deep learning to ICS significantly improves image reconstruction quality.
ZHU Lu, WU Lei, WANG Dingkun, CHENG Shuangquan, LIU Yuanyuan   +4 more
doaj  

Super-resolution deep learning reconstruction improves brain MRI quality and detection of metastases. [PDF]

Jpn J Radiol
Asari Y, Yasaka K, Kanzawa J, Sonoda Y, Fukushima T, Koyama H, Koshino S, Kiryu S, Abe O.   +8 more
europepmc   +1 more source

Clinical feasibility test of 60 kVp double-low-dose coronary CT angiography with a deep learning reconstruction algorithm. [PDF]

Insights Imaging
Wu X, Zhu M, Zou Y, Luo J, He W, Sun W, Shi H, Liu P, Huang F.   +8 more
europepmc   +1 more source