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 *

190 related articles for article (PubMed ID: 35177547)

  • 1. Automated 3D Fetal Brain Segmentation Using an Optimized Deep Learning Approach.
    Zhao L; Asis-Cruz JD; Feng X; Wu Y; Kapse K; Largent A; Quistorff J; Lopez C; Wu D; Qing K; Meyer C; Limperopoulos C
    AJNR Am J Neuroradiol; 2022 Mar; 43(3):448-454. PubMed ID: 35177547
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep Learning-Based Multiclass Brain Tissue Segmentation in Fetal MRIs.
    Huang X; Liu Y; Li Y; Qi K; Gao A; Zheng B; Liang D; Long X
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679449
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.
    Dou H; Karimi D; Rollins CK; Ortinau CM; Vasung L; Velasco-Annis C; Ouaalam A; Yang X; Ni D; Gholipour A
    IEEE Trans Med Imaging; 2021 Apr; 40(4):1123-1133. PubMed ID: 33351755
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI.
    Ebner M; Wang G; Li W; Aertsen M; Patel PA; Aughwane R; Melbourne A; Doel T; Dymarkowski S; De Coppi P; David AL; Deprest J; Ourselin S; Vercauteren T
    Neuroimage; 2020 Feb; 206():116324. PubMed ID: 31704293
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Knowledge-based and deep learning-based automated chest wall segmentation in magnetic resonance images of extremely dense breasts.
    Verburg E; Wolterink JM; de Waard SN; Išgum I; van Gils CH; Veldhuis WB; Gilhuijs KGA
    Med Phys; 2019 Oct; 46(10):4405-4416. PubMed ID: 31274194
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Logistic Regression-Based Model Is More Efficient Than U-Net Model for Reliable Whole Brain Magnetic Resonance Imaging Segmentation.
    Dieckhaus H; Meijboom R; Okar S; Wu T; Parvathaneni P; Mina Y; Chandran S; Waldman AD; Reich DS; Nair G
    Top Magn Reson Imaging; 2022 Jun; 31(3):31-39. PubMed ID: 35767314
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Segmentation of the aorta in systolic phase from 4D flow MRI: multi-atlas vs. deep learning.
    Marin-Castrillon DM; Geronzi L; Boucher A; Lin S; Morgant MC; Cochet A; Rochette M; Leclerc S; Ambarki K; Jin N; Aho LS; Lalande A; Bouchot O; Presles B
    MAGMA; 2023 Oct; 36(5):687-700. PubMed ID: 36800143
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Learning to segment fetal brain tissue from noisy annotations.
    Karimi D; Rollins CK; Velasco-Annis C; Ouaalam A; Gholipour A
    Med Image Anal; 2023 Apr; 85():102731. PubMed ID: 36608414
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic extraction of the intracranial volume in fetal and neonatal MR scans using convolutional neural networks.
    Khalili N; Turk E; Benders MJNL; Moeskops P; Claessens NHP; de Heus R; Franx A; Wagenaar N; Breur JMPJ; Viergever MA; Išgum I
    Neuroimage Clin; 2019; 24():102061. PubMed ID: 31835284
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Application of Automatic Segmentation on Super-Resolution Reconstruction MR Images of the Abnormal Fetal Brain.
    Deprest T; Fidon L; De Keyzer F; Ebner M; Deprest J; Demaerel P; De Catte L; Vercauteren T; Ourselin S; Dymarkowski S; Aertsen M
    AJNR Am J Neuroradiol; 2023 Apr; 44(4):486-491. PubMed ID: 36863845
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Fully automated 3D aortic segmentation of 4D flow MRI for hemodynamic analysis using deep learning.
    Berhane H; Scott M; Elbaz M; Jarvis K; McCarthy P; Carr J; Malaisrie C; Avery R; Barker AJ; Robinson JD; Rigsby CK; Markl M
    Magn Reson Med; 2020 Oct; 84(4):2204-2218. PubMed ID: 32167203
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep Learning Detection and Segmentation of Brain Arteriovenous Malformation on Magnetic Resonance Angiography.
    Hong JS; You WC; Sun MH; Pan HC; Lin YH; Lu YF; Chen KM; Huang TH; Lee WK; Wu YT
    J Magn Reson Imaging; 2024 Feb; 59(2):587-598. PubMed ID: 37220191
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Clinical Evaluation of a Multiparametric Deep Learning Model for Glioblastoma Segmentation Using Heterogeneous Magnetic Resonance Imaging Data From Clinical Routine.
    Perkuhn M; Stavrinou P; Thiele F; Shakirin G; Mohan M; Garmpis D; Kabbasch C; Borggrefe J
    Invest Radiol; 2018 Nov; 53(11):647-654. PubMed ID: 29863600
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images.
    Al Khalil Y; Amirrajab S; Lorenz C; Weese J; Pluim J; Breeuwer M
    Med Image Anal; 2023 Feb; 84():102688. PubMed ID: 36493702
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evaluation of a hybrid pipeline for automated segmentation of solid lesions based on mathematical algorithms and deep learning.
    Burrows L; Chen K; Guo W; Hossack M; McWilliams RG; Torella F
    Sci Rep; 2022 Aug; 12(1):14216. PubMed ID: 35987824
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Learning-Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies.
    Kart T; Fischer M; Küstner T; Hepp T; Bamberg F; Winzeck S; Glocker B; Rueckert D; Gatidis S
    Invest Radiol; 2021 Jun; 56(6):401-408. PubMed ID: 33930003
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
    Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
    Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated Magnetic Resonance Image Segmentation of Spinal Structures at the L4-5 Level with Deep Learning: 3D Reconstruction of Lumbar Intervertebral Foramen.
    Chen T; Su ZH; Liu Z; Wang M; Cui ZF; Zhao L; Yang LJ; Zhang WC; Liu X; Liu J; Tan SY; Li SL; Feng QJ; Pang SM; Lu H
    Orthop Surg; 2022 Sep; 14(9):2256-2264. PubMed ID: 35979964
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.