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 *

251 related articles for article (PubMed ID: 35157332)

  • 21. Efficient high cone-angle artifact reduction in circular cone-beam CT using deep learning with geometry-aware dimension reduction.
    Minnema J; van Eijnatten M; der Sarkissian H; Doyle S; Koivisto J; Wolff J; Forouzanfar T; Lucka F; Batenburg KJ
    Phys Med Biol; 2021 Jul; 66(13):. PubMed ID: 34107467
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Deep Learning Body Region Classification of MRI and CT Examinations.
    Raffy P; Pambrun JF; Kumar A; Dubois D; Patti JW; Cairns RA; Young R
    J Digit Imaging; 2023 Aug; 36(4):1291-1301. PubMed ID: 36894697
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Deep Learning Algorithm for Reducing CT Slice Thickness: Effect on Reproducibility of Radiomic Features in Lung Cancer.
    Park S; Lee SM; Do KH; Lee JG; Bae W; Park H; Jung KH; Seo JB
    Korean J Radiol; 2019 Oct; 20(10):1431-1440. PubMed ID: 31544368
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.
    Coy H; Hsieh K; Wu W; Nagarajan MB; Young JR; Douek ML; Brown MS; Scalzo F; Raman SS
    Abdom Radiol (NY); 2019 Jun; 44(6):2009-2020. PubMed ID: 30778739
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Evaluation of transfer learning in deep convolutional neural network models for cardiac short axis slice classification.
    Ho N; Kim YC
    Sci Rep; 2021 Jan; 11(1):1839. PubMed ID: 33469077
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans.
    Tomita N; Cheung YY; Hassanpour S
    Comput Biol Med; 2018 Jul; 98():8-15. PubMed ID: 29758455
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Deep morphology aided diagnosis network for segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black-blood vessel wall MRI.
    Wu J; Xin J; Yang X; Sun J; Xu D; Zheng N; Yuan C
    Med Phys; 2019 Dec; 46(12):5544-5561. PubMed ID: 31356693
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion.
    Zabihollahy F; Schieda N; Krishna S; Ukwatta E
    Eur Radiol; 2020 Sep; 30(9):5183-5190. PubMed ID: 32350661
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Computationally efficient deep neural network for computed tomography image reconstruction.
    Wu D; Kim K; Li Q
    Med Phys; 2019 Nov; 46(11):4763-4776. PubMed ID: 31132144
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Recurrent attention network for false positive reduction in the detection of pulmonary nodules in thoracic CT scans.
    Farhangi MM; Petrick N; Sahiner B; Frigui H; Amini AA; Pezeshk A
    Med Phys; 2020 Jun; 47(5):2150-2160. PubMed ID: 32030769
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Variations on Branding with Text Occurrence for Optimized Body Parts Classification.
    Pelka O; Nensa F; Friedrich CM
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():890-894. PubMed ID: 31946037
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Improving liver lesions classification on CT/MRI images based on Hounsfield Units attenuation and deep learning.
    Phan AC; Cao HP; Le TN; Trieu TN; Phan TC
    Gene Expr Patterns; 2023 Mar; 47():119289. PubMed ID: 36574537
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Automatic lung nodule detection in thoracic CT scans using dilated slice-wise convolutions.
    Farhangi MM; Sahiner B; Petrick N; Pezeshk A
    Med Phys; 2021 Jul; 48(7):3741-3751. PubMed ID: 33932241
    [TBL] [Abstract][Full Text] [Related]  

  • 34. DENSE-INception U-net for medical image segmentation.
    Zhang Z; Wu C; Coleman S; Kerr D
    Comput Methods Programs Biomed; 2020 Aug; 192():105395. PubMed ID: 32163817
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images.
    Gu L; Cai XC
    Artif Intell Med; 2021 Nov; 121():102189. PubMed ID: 34763804
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images.
    Ferjaoui R; Cherni MA; Boujnah S; Kraiem NEH; Kraiem T
    Comput Methods Programs Biomed; 2021 Sep; 209():106320. PubMed ID: 34390938
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Brain tumor detection using proper orthogonal decomposition integrated with deep learning networks.
    Appiah R; Pulletikurthi V; Esquivel-Puentes HA; Cabrera C; Hasan NI; Dharmarathne S; Gomez LJ; Castillo L
    Comput Methods Programs Biomed; 2024 Jun; 250():108167. PubMed ID: 38669717
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Deep neural network for automatic volumetric segmentation of whole-body CT images for body composition assessment.
    Lee YS; Hong N; Witanto JN; Choi YR; Park J; Decazes P; Eude F; Kim CO; Chang Kim H; Goo JM; Rhee Y; Yoon SH
    Clin Nutr; 2021 Aug; 40(8):5038-5046. PubMed ID: 34365038
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Automatic Extraction of Lung Cancer Staging Information From Computed Tomography Reports: Deep Learning Approach.
    Hu D; Zhang H; Li S; Wang Y; Wu N; Lu X
    JMIR Med Inform; 2021 Jul; 9(7):e27955. PubMed ID: 34287213
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Improving the slice interaction of 2.5D CNN for automatic pancreas segmentation.
    Zheng H; Qian L; Qin Y; Gu Y; Yang J
    Med Phys; 2020 Nov; 47(11):5543-5554. PubMed ID: 32502278
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.