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Pubmed for Handhelds

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Journal Abstract Search

318 related items for PubMed ID: 37257456

  • 21. A new deep convolutional neural network design with efficient learning capability: Application to CT image synthesis from MRI.
    Bahrami A, Karimian A, Fatemizadeh E, Arabi H, Zaidi H.
    Med Phys; 2020 Oct; 47(10):5158-5171. PubMed ID: 32730661
    [Abstract] [Full Text] [Related]

  • 22. A radiomics-incorporated deep ensemble learning model for multi-parametric MRI-based glioma segmentation.
    Chen Y, Yang Z, Zhao J, Adamson J, Sheng Y, Yin FF, Wang C.
    Phys Med Biol; 2023 Sep 13; 68(18):. PubMed ID: 37586382
    [Abstract] [Full Text] [Related]

  • 23. A UNIFIED CONDITIONAL DISENTANGLEMENT FRAMEWORK FOR MULTIMODAL BRAIN MR IMAGE TRANSLATION.
    Liu X, Xing F, Fakhri GE, Woo J.
    Proc IEEE Int Symp Biomed Imaging; 2021 Apr 13; 2021():. PubMed ID: 34567419
    [Abstract] [Full Text] [Related]

  • 24. BPGAN: Bidirectional CT-to-MRI prediction using multi-generative multi-adversarial nets with spectral normalization and localization.
    Xu L, Zeng X, Zhang H, Li W, Lei J, Huang Z.
    Neural Netw; 2020 Aug 13; 128():82-96. PubMed ID: 32442629
    [Abstract] [Full Text] [Related]

  • 25. MAS-CL: An End-to-End Multi-Atlas Supervised Contrastive Learning Framework for Brain ROI Segmentation.
    Sun L, Fu Y, Zhao J, Shao W, Zhu Q, Zhang D.
    IEEE Trans Image Process; 2024 Aug 13; 33():4319-4333. PubMed ID: 39052457
    [Abstract] [Full Text] [Related]

  • 26. Hierarchical neural architecture search with adaptive global-local feature learning for Magnetic Resonance Image reconstruction.
    Cao C, Huang W, Hu F, Gao X.
    Comput Biol Med; 2024 Jan 13; 168():107774. PubMed ID: 38039897
    [Abstract] [Full Text] [Related]

  • 27. Multimodal MR Synthesis via Modality-Invariant Latent Representation.
    Chartsias A, Joyce T, Giuffrida MV, Tsaftaris SA.
    IEEE Trans Med Imaging; 2018 Mar 13; 37(3):803-814. PubMed ID: 29053447
    [Abstract] [Full Text] [Related]

  • 28. Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation.
    Ottom MA, Rahman HA, Dinov ID.
    IEEE J Transl Eng Health Med; 2022 Mar 13; 10():1800508. PubMed ID: 35774412
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  • 29. A single stage knowledge distillation network for brain tumor segmentation on limited MR image modalities.
    Choi Y, Al-Masni MA, Jung KJ, Yoo RE, Lee SY, Kim DH.
    Comput Methods Programs Biomed; 2023 Oct 13; 240():107644. PubMed ID: 37307766
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  • 30. Feature Fusion for Multi-Coil Compressed MR Image Reconstruction.
    Cheng H, Hou X, Huang G, Jia S, Yang G, Nie S.
    J Imaging Inform Med; 2024 Aug 13; 37(4):1969-1979. PubMed ID: 38459398
    [Abstract] [Full Text] [Related]

  • 31. MRI super-resolution reconstruction for MRI-guided adaptive radiotherapy using cascaded deep learning: In the presence of limited training data and unknown translation model.
    Chun J, Zhang H, Gach HM, Olberg S, Mazur T, Green O, Kim T, Kim H, Kim JS, Mutic S, Park JC.
    Med Phys; 2019 Sep 13; 46(9):4148-4164. PubMed ID: 31309585
    [Abstract] [Full Text] [Related]

  • 32. FCSSL: fusion enhanced contrastive self-supervised learning method for parallel MRI reconstruction.
    Ding P, Duan J, Xue L, Liu Y.
    Phys Med Biol; 2024 Oct 14; 69(20):. PubMed ID: 39116910
    [Abstract] [Full Text] [Related]

  • 33. Synthetic CT reconstruction using a deep spatial pyramid convolutional framework for MR-only breast radiotherapy.
    Olberg S, Zhang H, Kennedy WR, Chun J, Rodriguez V, Zoberi I, Thomas MA, Kim JS, Mutic S, Green OL, Park JC.
    Med Phys; 2019 Sep 14; 46(9):4135-4147. PubMed ID: 31309586
    [Abstract] [Full Text] [Related]

  • 34. MLMFNet: A multi-level modality fusion network for multi-modal accelerated MRI reconstruction.
    Zhou X, Zhang Z, Du H, Qiu B.
    Magn Reson Imaging; 2024 Sep 14; 111():246-255. PubMed ID: 38663831
    [Abstract] [Full Text] [Related]

  • 35. Simultaneously optimizing sampling pattern for joint acceleration of multi-contrast MRI using model-based deep learning.
    Seo S, Luu HM, Choi SH, Park SH.
    Med Phys; 2022 Sep 14; 49(9):5964-5980. PubMed ID: 35678739
    [Abstract] [Full Text] [Related]

  • 36. Direct synthesis of multi-contrast brain MR images from MR multitasking spatial factors using deep learning.
    Qiu S, Ma S, Wang L, Chen Y, Fan Z, Moser FG, Maya M, Sati P, Sicotte NL, Christodoulou AG, Xie Y, Li D.
    Magn Reson Med; 2023 Oct 14; 90(4):1672-1681. PubMed ID: 37246485
    [Abstract] [Full Text] [Related]

  • 37. Synthesizing CT images from MR images with deep learning: model generalization for different datasets through transfer learning.
    Li W, Kazemifar S, Bai T, Nguyen D, Weng Y, Li Y, Xia J, Xiong J, Xie Y, Owrangi A, Jiang S.
    Biomed Phys Eng Express; 2021 Feb 24; 7(2):. PubMed ID: 33545707
    [Abstract] [Full Text] [Related]

  • 38. Learning deep similarity metric for 3D MR-TRUS image registration.
    Haskins G, Kruecker J, Kruger U, Xu S, Pinto PA, Wood BJ, Yan P.
    Int J Comput Assist Radiol Surg; 2019 Mar 24; 14(3):417-425. PubMed ID: 30382457
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  • 39. A deep learning approach for synthetic MRI based on two routine sequences and training with synthetic data.
    Moya-Sáez E, Peña-Nogales Ó, Luis-García R, Alberola-López C.
    Comput Methods Programs Biomed; 2021 Oct 24; 210():106371. PubMed ID: 34525411
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  • 40. Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization.
    Wang Z, Lin Y, Cheng KT, Yang X.
    Med Image Anal; 2020 Jan 24; 59():101565. PubMed ID: 31630010
    [Abstract] [Full Text] [Related]

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