BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

2077 related articles for article (PubMed ID: 31200901)

  • 1. Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks.
    Ribalta Lorenzo P; Nalepa J; Bobek-Billewicz B; Wawrzyniak P; Mrukwa G; Kawulok M; Ulrych P; Hayball MP
    Comput Methods Programs Biomed; 2019 Jul; 176():135-148. PubMed ID: 31200901
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images.
    Naceur MB; Saouli R; Akil M; Kachouri R
    Comput Methods Programs Biomed; 2018 Nov; 166():39-49. PubMed ID: 30415717
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Learning-based 3T brain MRI segmentation with guidance from 7T MRI labeling.
    Deng M; Yu R; Wang L; Shi F; Yap PT; Shen D;
    Med Phys; 2016 Dec; 43(12):6588-6597. PubMed ID: 28054724
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automated glioma grading on conventional MRI images using deep convolutional neural networks.
    Zhuge Y; Ning H; Mathen P; Cheng JY; Krauze AV; Camphausen K; Miller RW
    Med Phys; 2020 Jul; 47(7):3044-3053. PubMed ID: 32277478
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An Efficient Implementation of Deep Convolutional Neural Networks for MRI Segmentation.
    Hoseini F; Shahbahrami A; Bayat P
    J Digit Imaging; 2018 Oct; 31(5):738-747. PubMed ID: 29488179
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Fully Automatic Glioma Segmentation Algorithm of Magnetic Resonance Imaging Based on 3D-UNet With More Global Contextual Feature Extraction: An Improvement on Insufficient Extraction of Global Features].
    Tian H; Wang Y; Ji Y; Rahman MM
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2024 Mar; 55(2):447-454. PubMed ID: 38645864
    [TBL] [Abstract][Full Text] [Related]  

  • 7. VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images.
    Chen H; Dou Q; Yu L; Qin J; Heng PA
    Neuroimage; 2018 Apr; 170():446-455. PubMed ID: 28445774
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Semantic segmentation of cerebrospinal fluid and brain volume with a convolutional neural network in pediatric hydrocephalus-transfer learning from existing algorithms.
    Grimm F; Edl F; Kerscher SR; Nieselt K; Gugel I; Schuhmann MU
    Acta Neurochir (Wien); 2020 Oct; 162(10):2463-2474. PubMed ID: 32583085
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm.
    Wu W; Li D; Du J; Gao X; Gu W; Zhao F; Feng X; Yan H
    Comput Math Methods Med; 2020; 2020():6789306. PubMed ID: 32733596
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Brain tumor segmentation using holistically nested neural networks in MRI images.
    Zhuge Y; Krauze AV; Ning H; Cheng JY; Arora BC; Camphausen K; Miller RW
    Med Phys; 2017 Oct; 44(10):5234-5243. PubMed ID: 28736864
    [TBL] [Abstract][Full Text] [Related]  

  • 11. DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images.
    Zeineldin RA; Karar ME; Coburger J; Wirtz CR; Burgert O
    Int J Comput Assist Radiol Surg; 2020 Jun; 15(6):909-920. PubMed ID: 32372386
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks.
    Lucena O; Souza R; Rittner L; Frayne R; Lotufo R
    Artif Intell Med; 2019 Jul; 98():48-58. PubMed ID: 31521252
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. A review on brain tumor segmentation of MRI images.
    Wadhwa A; Bhardwaj A; Singh Verma V
    Magn Reson Imaging; 2019 Sep; 61():247-259. PubMed ID: 31200024
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CAST: A multi-scale convolutional neural network based automated hippocampal subfield segmentation toolbox.
    Yang Z; Zhuang X; Mishra V; Sreenivasan K; Cordes D
    Neuroimage; 2020 Sep; 218():116947. PubMed ID: 32474081
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Fast and Precise Hippocampus Segmentation Through Deep Convolutional Neural Network Ensembles and Transfer Learning.
    Ataloglou D; Dimou A; Zarpalas D; Daras P
    Neuroinformatics; 2019 Oct; 17(4):563-582. PubMed ID: 30877605
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.
    Wachinger C; Reuter M; Klein T
    Neuroimage; 2018 Apr; 170():434-445. PubMed ID: 28223187
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U-nets.
    Fashandi H; Kuling G; Lu Y; Wu H; Martel AL
    Med Phys; 2019 Mar; 46(3):1230-1244. PubMed ID: 30609062
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MRI Gibbs-ringing artifact reduction by means of machine learning using convolutional neural networks.
    Zhang Q; Ruan G; Yang W; Liu Y; Zhao K; Feng Q; Chen W; Wu EX; Feng Y
    Magn Reson Med; 2019 Dec; 82(6):2133-2145. PubMed ID: 31373061
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Brain tumor segmentation in multi-spectral MRI using convolutional neural networks (CNN).
    Iqbal S; Ghani MU; Saba T; Rehman A
    Microsc Res Tech; 2018 Apr; 81(4):419-427. PubMed ID: 29356229
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 104.