These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

164 related articles for article (PubMed ID: 38917414)

  • 21. Advances in spatial resolution and radiation dose reduction using super-resolution deep learning-based reconstruction for abdominal computed tomography: A phantom study.
    Funama Y; Nagayama Y; Sakabe D; Ito Y; Chiba Y; Nakaura T; Oda S; Kidoh M; Hirai T
    Acad Radiol; 2024 Sep; ():. PubMed ID: 39304377
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Influence of a novel deep-learning based reconstruction software on the objective and subjective image quality in low-dose abdominal computed tomography.
    Steuwe A; Weber M; Bethge OT; Rademacher C; Boschheidgen M; Sawicki LM; Antoch G; Aissa J
    Br J Radiol; 2021 Jan; 94(1117):20200677. PubMed ID: 33095654
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Comparison of a Deep Learning-Based Reconstruction Algorithm with Filtered Back Projection and Iterative Reconstruction Algorithms for Pediatric Abdominopelvic CT.
    Son W; Kim M; Hwang JY; Kim YW; Park C; Choo KS; Kim TU; Jang JY
    Korean J Radiol; 2022 Jul; 23(7):752-762. PubMed ID: 35695313
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Deep learning-based reconstruction and 3D hybrid profile order technique for MRCP at 3T: evaluation of image quality and acquisition time.
    Shiraishi K; Nakaura T; Uetani H; Nagayama Y; Kidoh M; Kobayashi N; Morita K; Yamahita Y; Tanaka Y; Baba H; Hirai T
    Eur Radiol; 2023 Nov; 33(11):7585-7594. PubMed ID: 37178197
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Deep Learning-Based Reconstruction Improves the Image Quality of Low-Dose CT Colonography.
    Chen Y; Huang Z; Feng L; Zou W; Kong D; Zhu D; Dai G; Zhao W; Zhang Y; Luo M
    Acad Radiol; 2024 Aug; 31(8):3191-3199. PubMed ID: 38290889
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Dose reduction in cone-beam CT scanning for intracranial stent deployment before coil embolization of intracranial wide-neck aneurysms.
    Kuriyama T; Sakai N; Niida N; Sueoka M; Beppu M; Dahmani C; Kojima I; Sakai C; Imamura H; Masago K; Katakami N
    Interv Neuroradiol; 2016 Aug; 22(4):420-5. PubMed ID: 26916658
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Reliability of dual- vs single-volume reconstruction of three-dimensional digital subtraction angiography for follow-up evaluation of endovascularly treated intracranial aneurysms.
    Adeeb N; Griessenauer CJ; Patel AS; Moore J; Dolati-Ardejani P; Gupta R; Motiei-Langroudi R; Ogilvy CS; Thomas AJ
    Interv Neuroradiol; 2016 Dec; 22(6):687-692. PubMed ID: 27530137
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Deep learning reconstruction for high-resolution computed tomography images of the temporal bone: comparison with hybrid iterative reconstruction.
    Fujita N; Yasaka K; Hatano S; Sakamoto N; Kurokawa R; Abe O
    Neuroradiology; 2024 Jul; 66(7):1105-1112. PubMed ID: 38514472
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Deep learning-based reconstruction may improve non-contrast cerebral CT imaging compared to other current reconstruction algorithms.
    Oostveen LJ; Meijer FJA; de Lange F; Smit EJ; Pegge SA; Steens SCA; van Amerongen MJ; Prokop M; Sechopoulos I
    Eur Radiol; 2021 Aug; 31(8):5498-5506. PubMed ID: 33693996
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Comparison of postsurgical clinical sequences between completely embolized and incompletely embolized patients with wide nicked intracranial aneurysms treated with stent assisted coil embolization technique: A STROBE-compliant study.
    Cai ZQ; Chai SH; Wei XL; You KZ; Li J; Zhang DM
    Medicine (Baltimore); 2018 Jun; 97(23):e10987. PubMed ID: 29879055
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT.
    Akagi M; Nakamura Y; Higaki T; Narita K; Honda Y; Zhou J; Yu Z; Akino N; Awai K
    Eur Radiol; 2019 Nov; 29(11):6163-6171. PubMed ID: 30976831
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Enhancing image quality in computed tomography angiography follow-ups after endovascular aneurysm repair: a comparative study of reconstruction techniques.
    Cai H; Jiang H; Xie D; Lai Z; Wu J; Chen M; Yang Z; Xu R; Zeng S; Ma H
    BMC Med Imaging; 2024 Jul; 24(1):162. PubMed ID: 38956470
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Value of knowledge-based iterative model reconstruction in low-kV 256-slice coronary CT angiography.
    Yuki H; Utsunomiya D; Funama Y; Tokuyasu S; Namimoto T; Hirai T; Itatani R; Katahira K; Oshima S; Yamashita Y
    J Cardiovasc Comput Tomogr; 2014; 8(2):115-23. PubMed ID: 24661824
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Image Quality and Lesion Detectability of Pancreatic Phase Thin-Slice Computed Tomography Images With a Deep Learning-Based Reconstruction Algorithm.
    Nakamoto A; Onishi H; Tsuboyama T; Fukui H; Ota T; Ogawa K; Yano K; Kiso K; Honda T; Tatsumi M; Tomiyama N
    J Comput Assist Tomogr; 2023 Sep-Oct 01; 47(5):698-703. PubMed ID: 37707398
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Feasibility of high-resolution magnetic resonance imaging of the liver using deep learning reconstruction based on the deep learning denoising technique.
    Tanabe M; Higashi M; Yonezawa T; Yamaguchi T; Iida E; Furukawa M; Okada M; Shinoda K; Ito K
    Magn Reson Imaging; 2021 Jul; 80():121-126. PubMed ID: 33971240
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Impact of deep learning reconstruction on intracranial 1.5 T magnetic resonance angiography.
    Yasaka K; Akai H; Sugawara H; Tajima T; Akahane M; Yoshioka N; Kabasawa H; Miyo R; Ohtomo K; Abe O; Kiryu S
    Jpn J Radiol; 2022 May; 40(5):476-483. PubMed ID: 34851499
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Usefulness of Non-Contrast-Enhanced MR Angiography Using a Silent Scan for Follow-Up after Y-Configuration Stent-Assisted Coil Embolization for Basilar Tip Aneurysms.
    Takano N; Suzuki M; Irie R; Yamamoto M; Hamasaki N; Kamagata K; Kumamaru KK; Hori M; Oishi H; Aoki S
    AJNR Am J Neuroradiol; 2017 Mar; 38(3):577-581. PubMed ID: 28007767
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Comparison of Deep-Learning Image Reconstruction With Hybrid Iterative Reconstruction for Evaluating Lung Nodules With High-Resolution Computed Tomography.
    Hamada A; Yasaka K; Inui S; Okimoto N; Abe O
    J Comput Assist Tomogr; 2023 Jul-Aug 01; 47(4):583-589. PubMed ID: 36877787
    [TBL] [Abstract][Full Text] [Related]  

  • 39. High-Resolution C-Arm CT and Metal Artifact Reduction Software: A Novel Imaging Modality for Analyzing Aneurysms Treated with Stent-Assisted Coil Embolization.
    Yuki I; Kambayashi Y; Ikemura A; Abe Y; Kan I; Mohamed A; Dahmani C; Suzuki T; Ishibashi T; Takao H; Urashima M; Murayama Y
    AJNR Am J Neuroradiol; 2016 Feb; 37(2):317-23. PubMed ID: 26359152
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Feasibility study of super-resolution deep learning-based reconstruction using k-space data in brain diffusion-weighted images.
    Matsuo K; Nakaura T; Morita K; Uetani H; Nagayama Y; Kidoh M; Hokamura M; Yamashita Y; Shinoda K; Ueda M; Mukasa A; Hirai T
    Neuroradiology; 2023 Nov; 65(11):1619-1629. PubMed ID: 37673835
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.