BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

156 related articles for article (PubMed ID: 35667525)

  • 1. A Prior Knowledge-Guided, Deep Learning-Based Semiautomatic Segmentation for Complex Anatomy on Magnetic Resonance Imaging.
    Zhang Y; Liang Y; Ding J; Amjad A; Paulson E; Ahunbay E; Hall WA; Erickson B; Li XA
    Int J Radiat Oncol Biol Phys; 2022 Oct; 114(2):349-359. PubMed ID: 35667525
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine-assisted interpolation algorithm for semi-automated segmentation of highly deformable organs.
    Luximon DC; Abdulkadir Y; Chow PE; Morris ED; Lamb JM
    Med Phys; 2022 Jan; 49(1):41-51. PubMed ID: 34783027
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Geometric evaluations of CT and MRI based deep learning segmentation for brain OARs in radiotherapy.
    Alzahrani N; Henry A; Clark A; Murray L; Nix M; Al-Qaisieh B
    Phys Med Biol; 2023 Aug; 68(17):. PubMed ID: 37579753
    [No Abstract]   [Full Text] [Related]  

  • 4. A Patient-Specific Autosegmentation Strategy Using Multi-Input Deformable Image Registration for Magnetic Resonance Imaging-Guided Online Adaptive Radiation Therapy: A Feasibility Study.
    Zhang Y; Paulson E; Lim S; Hall WA; Ahunbay E; Mickevicius NJ; Straza MW; Erickson B; Li XA
    Adv Radiat Oncol; 2020; 5(6):1350-1358. PubMed ID: 33305098
    [TBL] [Abstract][Full Text] [Related]  

  • 5. General and custom deep learning autosegmentation models for organs in head and neck, abdomen, and male pelvis.
    Amjad A; Xu J; Thill D; Lawton C; Hall W; Awan MJ; Shukla M; Erickson BA; Li XA
    Med Phys; 2022 Mar; 49(3):1686-1700. PubMed ID: 35094390
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic Contour Refinement for Deep Learning Auto-segmentation of Complex Organs in MRI-guided Adaptive Radiation Therapy.
    Ding J; Zhang Y; Amjad A; Xu J; Thill D; Li XA
    Adv Radiat Oncol; 2022; 7(5):100968. PubMed ID: 35847549
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep learning based automatic contour refinement for inaccurate auto-segmentation in MR-guided adaptive radiotherapy.
    Ding J; Zhang Y; Amjad A; Sarosiek C; Dang NP; Zarenia M; Li XA
    Phys Med Biol; 2023 Feb; 68(5):. PubMed ID: 36731136
    [No Abstract]   [Full Text] [Related]  

  • 8. Patient-specific daily updated deep learning auto-segmentation for MRI-guided adaptive radiotherapy.
    Li Z; Zhang W; Li B; Zhu J; Peng Y; Li C; Zhu J; Zhou Q; Yin Y
    Radiother Oncol; 2022 Dec; 177():222-230. PubMed ID: 36375561
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Pretreatment information-aided automatic segmentation for online magnetic resonance imaging-guided prostate radiotherapy.
    Yang B; Liu Y; Zhu J; Lu N; Dai J; Men K
    Med Phys; 2024 Feb; 51(2):922-932. PubMed ID: 37449545
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Dosimetric impact of contour editing on CT and MRI deep-learning autosegmentation for brain OARs.
    Alzahrani NM; Henry AM; Clark AK; Al-Qaisieh BM; Murray LJ; Nix MG
    J Appl Clin Med Phys; 2024 May; 25(5):e14345. PubMed ID: 38664894
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A novel MRI segmentation method using CNN-based correction network for MRI-guided adaptive radiotherapy.
    Fu Y; Mazur TR; Wu X; Liu S; Chang X; Lu Y; Li HH; Kim H; Roach MC; Henke L; Yang D
    Med Phys; 2018 Nov; 45(11):5129-5137. PubMed ID: 30269345
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Registration-guided deep learning image segmentation for cone beam CT-based online adaptive radiotherapy.
    Ma L; Chi W; Morgan HE; Lin MH; Chen M; Sher D; Moon D; Vo DT; Avkshtol V; Lu W; Gu X
    Med Phys; 2022 Aug; 49(8):5304-5316. PubMed ID: 35460584
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A quality assurance framework for routine monitoring of deep learning cardiac substructure computed tomography segmentation models in radiotherapy.
    Jin X; Hao Y; Hilliard J; Zhang Z; Thomas MA; Li H; Jha AK; Hugo GD
    Med Phys; 2024 Apr; 51(4):2741-2758. PubMed ID: 38015793
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated deep learning auto-segmentation of air volumes for MRI-guided online adaptive radiation therapy of abdominal tumors.
    Ahunbay E; Parchur AK; Xu J; Thill D; Paulson ES; Li XA
    Phys Med Biol; 2023 Jun; 68(12):. PubMed ID: 37253374
    [No Abstract]   [Full Text] [Related]  

  • 15. A multiphase validation of atlas-based automatic and semiautomatic segmentation strategies for prostate MRI.
    Martin S; Rodrigues G; Patil N; Bauman G; D'Souza D; Sexton T; Palma D; Louie AV; Khalvati F; Tizhoosh HR; Gaede S
    Int J Radiat Oncol Biol Phys; 2013 Jan; 85(1):95-100. PubMed ID: 22572076
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. An uncertainty-aware deep learning architecture with outlier mitigation for prostate gland segmentation in radiotherapy treatment planning.
    Li X; Bagher-Ebadian H; Gardner S; Kim J; Elshaikh M; Movsas B; Zhu D; Chetty IJ
    Med Phys; 2023 Jan; 50(1):311-322. PubMed ID: 36112996
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Deep learning auto-segmentation on multi-sequence magnetic resonance images for upper abdominal organs.
    Amjad A; Xu J; Thill D; Zhang Y; Ding J; Paulson E; Hall W; Erickson BA; Li XA
    Front Oncol; 2023; 13():1209558. PubMed ID: 37483486
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approach.
    Liang F; Qian P; Su KH; Baydoun A; Leisser A; Van Hedent S; Kuo JW; Zhao K; Parikh P; Lu Y; Traughber BJ; Muzic RF
    Artif Intell Med; 2018 Aug; 90():34-41. PubMed ID: 30054121
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.