BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

280 related articles for article (PubMed ID: 35614382)

  • 1. Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CT.
    Wang T; Xing H; Li Y; Wang S; Liu L; Li F; Jing H
    BMC Med Imaging; 2022 May; 22(1):99. PubMed ID: 35614382
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Automated lung tumor delineation on positron emission tomography/computed tomography via a hybrid regional network.
    Lei Y; Wang T; Jeong JJ; Janopaul-Naylor J; Kesarwala AH; Roper J; Tian S; Bradley JD; Liu T; Higgins K; Yang X
    Med Phys; 2023 Jan; 50(1):274-283. PubMed ID: 36203393
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Impact of deep learning-based multiorgan segmentation methods on patient-specific internal dosimetry in PET/CT imaging: A comparative study.
    Karimipourfard M; Sina S; Mahani H; Alavi M; Yazdi M
    J Appl Clin Med Phys; 2024 Feb; 25(2):e14254. PubMed ID: 38214349
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic Segmentation of Multiple Organs on 3D CT Images by Using Deep Learning Approaches.
    Zhou X
    Adv Exp Med Biol; 2020; 1213():135-147. PubMed ID: 32030668
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases.
    Lindgren Belal S; Sadik M; Kaboteh R; Enqvist O; Ulén J; Poulsen MH; Simonsen J; Høilund-Carlsen PF; Edenbrandt L; Trägårdh E
    Eur J Radiol; 2019 Apr; 113():89-95. PubMed ID: 30927965
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A deep learning-based post-processing method for automated pulmonary lobe and airway trees segmentation using chest CT images in PET/CT.
    Xing H; Zhang X; Nie Y; Wang S; Wang T; Jing H; Li F
    Quant Imaging Med Surg; 2022 Oct; 12(10):4747-4757. PubMed ID: 36185049
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparison of methods for fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers.
    Groendahl AR; Skjei Knudtsen I; Huynh BN; Mulstad M; Moe YM; Knuth F; Tomic O; Indahl UG; Torheim T; Dale E; Malinen E; Futsaether CM
    Phys Med Biol; 2021 Mar; 66(6):065012. PubMed ID: 33666176
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI.
    Arabi H; Zeng G; Zheng G; Zaidi H
    Eur J Nucl Med Mol Imaging; 2019 Dec; 46(13):2746-2759. PubMed ID: 31264170
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Head and neck tumor segmentation convolutional neural network robust to missing PET/CT modalities using channel dropout.
    Zhao LM; Zhang H; Kim DD; Ghimire K; Hu R; Kargilis DC; Tang L; Meng S; Chen Q; Liao WH; Bai H; Jiao Z; Feng X
    Phys Med Biol; 2023 Apr; 68(9):. PubMed ID: 37019119
    [No Abstract]   [Full Text] [Related]  

  • 12. MR-CT multi-atlas registration guided by fully automated brain structure segmentation with CNNs.
    Walluscheck S; Canalini L; Strohm H; Diekmann S; Klein J; Heldmann S
    Int J Comput Assist Radiol Surg; 2023 Mar; 18(3):483-491. PubMed ID: 36334164
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparing different CT, PET and MRI multi-modality image combinations for deep learning-based head and neck tumor segmentation.
    Ren J; Eriksen JG; Nijkamp J; Korreman SS
    Acta Oncol; 2021 Nov; 60(11):1399-1406. PubMed ID: 34264157
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Weaving attention U-net: A novel hybrid CNN and attention-based method for organs-at-risk segmentation in head and neck CT images.
    Zhang Z; Zhao T; Gay H; Zhang W; Sun B
    Med Phys; 2021 Nov; 48(11):7052-7062. PubMed ID: 34655077
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Information fusion for fully automated segmentation of head and neck tumors from PET and CT images.
    Shiri I; Amini M; Yousefirizi F; Vafaei Sadr A; Hajianfar G; Salimi Y; Mansouri Z; Jenabi E; Maghsudi M; Mainta I; Becker M; Rahmim A; Zaidi H
    Med Phys; 2024 Jan; 51(1):319-333. PubMed ID: 37475591
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.
    Fu J; Yang Y; Singhrao K; Ruan D; Chu FI; Low DA; Lewis JH
    Med Phys; 2019 Sep; 46(9):3788-3798. PubMed ID: 31220353
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Tumor co-segmentation in PET/CT using multi-modality fully convolutional neural network.
    Zhao X; Li L; Lu W; Tan S
    Phys Med Biol; 2018 Dec; 64(1):015011. PubMed ID: 30523964
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 14.