BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

193 related articles for article (PubMed ID: 36832069)

  • 1. Deep-Learning-Based Automatic Segmentation of Parotid Gland on Computed Tomography Images.
    Önder M; Evli C; Türk E; Kazan O; Bayrakdar İŞ; Çelik Ö; Costa ALF; Gomes JPP; Ogawa CM; Jagtap R; Orhan K
    Diagnostics (Basel); 2023 Feb; 13(4):. PubMed ID: 36832069
    [TBL] [Abstract][Full Text] [Related]  

  • 2. AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy.
    Zhu W; Huang Y; Zeng L; Chen X; Liu Y; Qian Z; Du N; Fan W; Xie X
    Med Phys; 2019 Feb; 46(2):576-589. PubMed ID: 30480818
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images.
    Bayrakdar IS; Elfayome NS; Hussien RA; Gulsen IT; Kuran A; Gunes I; Al-Badr A; Celik O; Orhan K
    Dentomaxillofac Radiol; 2024 Apr; 53(4):256-266. PubMed ID: 38502963
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Deep Learning Approach for Masseter Muscle Segmentation on Ultrasonography.
    Keser G; Bayrakdar IS; Pekiner FN; Çelik Ö; Orhan K
    J Ultrason; 2022 Oct; 22(91):e204-e208. PubMed ID: 36483782
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography.
    Verhelst PJ; Smolders A; Beznik T; Meewis J; Vandemeulebroucke A; Shaheen E; Van Gerven A; Willems H; Politis C; Jacobs R
    J Dent; 2021 Nov; 114():103786. PubMed ID: 34425172
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Convolutional Neural Network Performance for Sella Turcica Segmentation and Classification Using CBCT Images.
    Duman ŞB; Syed AZ; Celik Ozen D; Bayrakdar İŞ; Salehi HS; Abdelkarim A; Celik Ö; Eser G; Altun O; Orhan K
    Diagnostics (Basel); 2022 Sep; 12(9):. PubMed ID: 36140645
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fully automatic volume measurement of the adrenal gland on CT using deep learning to classify adrenal hyperplasia.
    Kim TM; Choi SJ; Ko JY; Kim S; Jeong CW; Cho JY; Kim SY; Kim YG
    Eur Radiol; 2023 Jun; 33(6):4292-4302. PubMed ID: 36571602
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation.
    Ko H; Huh J; Kim KW; Chung H; Ko Y; Kim JK; Lee JH; Lee J
    J Med Internet Res; 2022 Jan; 24(1):e34415. PubMed ID: 34982041
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated deep learning-based segmentation of COVID-19 lesions from chest computed tomography images.
    Salehi M; Ardekani MA; Taramsari AB; Ghaffari H; Haghparast M
    Pol J Radiol; 2022; 87():e478-e486. PubMed ID: 36091652
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic segmentation of the pharyngeal airway space with convolutional neural network.
    Shujaat S; Jazil O; Willems H; Van Gerven A; Shaheen E; Politis C; Jacobs R
    J Dent; 2021 Aug; 111():103705. PubMed ID: 34077802
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. A U-Net Approach to Apical Lesion Segmentation on Panoramic Radiographs.
    Bayrakdar IS; Orhan K; Çelik Ö; Bilgir E; Sağlam H; Kaplan FA; Görür SA; Odabaş A; Aslan AF; Różyło-Kalinowska I
    Biomed Res Int; 2022; 2022():7035367. PubMed ID: 35075428
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep-learning approach for caries detection and segmentation on dental bitewing radiographs.
    Bayrakdar IS; Orhan K; Akarsu S; Çelik Ö; Atasoy S; Pekince A; Yasa Y; Bilgir E; Sağlam H; Aslan AF; Odabaş A
    Oral Radiol; 2022 Oct; 38(4):468-479. PubMed ID: 34807344
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images.
    Heutink F; Koch V; Verbist B; van der Woude WJ; Mylanus E; Huinck W; Sechopoulos I; Caballo M
    Comput Methods Programs Biomed; 2020 Jul; 191():105387. PubMed ID: 32109685
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A novel deep learning system for multi-class tooth segmentation and classification on cone beam computed tomography. A validation study.
    Shaheen E; Leite A; Alqahtani KA; Smolders A; Van Gerven A; Willems H; Jacobs R
    J Dent; 2021 Dec; 115():103865. PubMed ID: 34710545
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep Network-Based Comprehensive Parotid Gland Tumor Detection.
    Sunnetci KM; Kaba E; Celiker FB; Alkan A
    Acad Radiol; 2024 Jan; 31(1):157-167. PubMed ID: 37271636
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cascaded deep learning-based auto-segmentation for head and neck cancer patients: Organs at risk on T2-weighted magnetic resonance imaging.
    Korte JC; Hardcastle N; Ng SP; Clark B; Kron T; Jackson P
    Med Phys; 2021 Dec; 48(12):7757-7772. PubMed ID: 34676555
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
    Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
    Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Weaving attention U-net: A novel hybrid CNN and attention-based method for organs-at-risk segmentation in head and neck CT images.
    Zhang Z; Zhao T; Gay H; Zhang W; Sun B
    Med Phys; 2021 Nov; 48(11):7052-7062. PubMed ID: 34655077
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic Classification and Segmentation of Multiclass Jaw Lesions in Cone-Beam Computed Tomography using Deep Learning.
    Liu W; Li X; Liu C; Gao G; Xiong Y; Zhu T; Zeng W; Guo J; Tang W
    Dentomaxillofac Radiol; 2024 Jun; ():. PubMed ID: 38937280
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.