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 *

217 related articles for article (PubMed ID: 32512401)

  • 1. Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network.
    Tomita N; Jiang S; Maeder ME; Hassanpour S
    Neuroimage Clin; 2020; 27():102276. PubMed ID: 32512401
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Study of multistep Dense U-Net-based automatic segmentation for head MRI scans.
    Gi Y; Oh G; Jo Y; Lim H; Ko Y; Hong J; Lee E; Park S; Kwak T; Kim S; Yoon M
    Med Phys; 2024 Mar; 51(3):2230-2238. PubMed ID: 37956307
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation.
    Wang B; Lei Y; Tian S; Wang T; Liu Y; Patel P; Jani AB; Mao H; Curran WJ; Liu T; Yang X
    Med Phys; 2019 Apr; 46(4):1707-1718. PubMed ID: 30702759
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automated segmentation of head CT scans for computer-assisted craniomaxillofacial surgery applying a hierarchical patch-based stack of convolutional neural networks.
    Steybe D; Poxleitner P; Metzger MC; Brandenburg LS; Schmelzeisen R; Bamberg F; Tran PH; Kellner E; Reisert M; Russe MF
    Int J Comput Assist Radiol Surg; 2022 Nov; 17(11):2093-2101. PubMed ID: 35665881
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification and Diagnosis of Cerebral Stroke through Deep Convolutional Neural Network-Based Multimodal MRI Images.
    Pan Y; Zhang H; Yang J; Guo J; Yang Z; Wang J; Song G
    Contrast Media Mol Imaging; 2021; 2021():7598613. PubMed ID: 34381322
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images.
    Xue Y; Farhat FG; Boukrina O; Barrett AM; Binder JR; Roshan UW; Graves WW
    Neuroimage Clin; 2020; 25():102118. PubMed ID: 31865021
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI.
    Rahimpour M; Saint Martin MJ; Frouin F; Akl P; Orlhac F; Koole M; Malhaire C
    Eur Radiol; 2023 Feb; 33(2):959-969. PubMed ID: 36074262
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic Segmentation and Quantitative Assessment of Stroke Lesions on MR Images.
    Verma K; Kumar S; Paydarfar D
    Diagnostics (Basel); 2022 Aug; 12(9):. PubMed ID: 36140457
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Brain segmentation in patients with perinatal arterial ischemic stroke.
    Zoetmulder R; Baak L; Khalili N; Marquering HA; Wagenaar N; Benders M; van der Aa NE; Išgum I
    Neuroimage Clin; 2023; 38():103381. PubMed ID: 36965456
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Semiautomated segmentation of hepatocellular carcinoma tumors with MRI using convolutional neural networks.
    Said D; Carbonell G; Stocker D; Hectors S; Vietti-Violi N; Bane O; Chin X; Schwartz M; Tabrizian P; Lewis S; Greenspan H; Jégou S; Schiratti JB; Jehanno P; Taouli B
    Eur Radiol; 2023 Sep; 33(9):6020-6032. PubMed ID: 37071167
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach.
    Lavdas I; Glocker B; Kamnitsas K; Rueckert D; Mair H; Sandhu A; Taylor SA; Aboagye EO; Rockall AG
    Med Phys; 2017 Oct; 44(10):5210-5220. PubMed ID: 28756622
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Machine Segmentation of Pelvic Anatomy in MRI-Assisted Radiosurgery (MARS) for Prostate Cancer Brachytherapy.
    Sanders JW; Lewis GD; Thames HD; Kudchadker RJ; Venkatesan AM; Bruno TL; Ma J; Pagel MD; Frank SJ
    Int J Radiat Oncol Biol Phys; 2020 Dec; 108(5):1292-1303. PubMed ID: 32634543
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automated Segmentation of Colorectal Tumor in 3D MRI Using 3D Multiscale Densely Connected Convolutional Neural Network.
    Soomro MH; Coppotelli M; Conforto S; Schmid M; Giunta G; Del Secco L; Neri E; Caruso D; Rengo M; Laghi A
    J Healthc Eng; 2019; 2019():1075434. PubMed ID: 30838121
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
    Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
    Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
    Tong N; Gou S; Yang S; Ruan D; Sheng K
    Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Automatic segmentation of vestibular schwannomas from T1-weighted MRI with a deep neural network.
    Wang H; Qu T; Bernstein K; Barbee D; Kondziolka D
    Radiat Oncol; 2023 May; 18(1):78. PubMed ID: 37158968
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets.
    Jiang J; Hu YC; Tyagi N; Zhang P; Rimner A; Deasy JO; Veeraraghavan H
    Med Phys; 2019 Oct; 46(10):4392-4404. PubMed ID: 31274206
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
    Burton W; Myers C; Rullkoetter P
    Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.