BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

89 related articles for article (PubMed ID: 35166895)

  • 1. Deep learning-based tumour segmentation and total metabolic tumour volume prediction in the prognosis of diffuse large B-cell lymphoma patients in 3D FDG-PET images.
    Jiang C; Chen K; Teng Y; Ding C; Zhou Z; Gao Y; Wu J; He J; He K; Zhang J
    Eur Radiol; 2022 Jul; 32(7):4801-4812. PubMed ID: 35166895
    [TBL] [Abstract][Full Text] [Related]  

  • 2. TMTV-Net: fully automated total metabolic tumor volume segmentation in lymphoma PET/CT images - a multi-center generalizability analysis.
    Yousefirizi F; Klyuzhin IS; O JH; Harsini S; Tie X; Shiri I; Shin M; Lee C; Cho SY; Bradshaw TJ; Zaidi H; Bénard F; Sehn LH; Savage KJ; Steidl C; Uribe CF; Rahmim A
    Eur J Nucl Med Mol Imaging; 2024 Jun; 51(7):1937-1954. PubMed ID: 38326655
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Robust deep learning-based PET prognostic imaging biomarker for DLBCL patients: a multicenter study.
    Jiang C; Qian C; Jiang Z; Teng Y; Lai R; Sun Y; Ni X; Ding C; Xu Y; Tian R
    Eur J Nucl Med Mol Imaging; 2023 Nov; 50(13):3949-3960. PubMed ID: 37606859
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Tumor Location Relative to the Spleen Is a Prognostic Factor in Lymphoma Patients: A Demonstration from the REMARC Trial.
    Girum KB; Cottereau AS; Vercellino L; Rebaud L; Clerc J; Casasnovas O; Morschhauser F; Thieblemont C; Buvat I
    J Nucl Med; 2024 Feb; 65(2):313-319. PubMed ID: 38071535
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep learning generation of preclinical positron emission tomography (PET) images from low-count PET with task-based performance assessment.
    Dutta K; Laforest R; Luo J; Jha AK; Shoghi KI
    Med Phys; 2024 Jun; 51(6):4324-4339. PubMed ID: 38710222
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets.
    Park J; Yun J; Kim N; Park B; Cho Y; Park HJ; Song M; Lee M; Seo JB
    J Digit Imaging; 2020 Feb; 33(1):221-230. PubMed ID: 31152273
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An artificial intelligence method using FDG PET to predict treatment outcome in diffuse large B cell lymphoma patients.
    Ferrández MC; Golla SSV; Eertink JJ; de Vries BM; Lugtenburg PJ; Wiegers SE; Zwezerijnen GJC; Pieplenbosch S; Kurch L; Hüttmann A; Hanoun C; Dührsen U; de Vet HCW; ; Zijlstra JM; Boellaard R
    Sci Rep; 2023 Aug; 13(1):13111. PubMed ID: 37573446
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep Semisupervised Transfer Learning for Fully Automated Whole-Body Tumor Quantification and Prognosis of Cancer on PET/CT.
    Leung KH; Rowe SP; Sadaghiani MS; Leal JP; Mena E; Choyke PL; Du Y; Pomper MG
    J Nucl Med; 2024 Apr; 65(4):643-650. PubMed ID: 38423786
    [TBL] [Abstract][Full Text] [Related]  

  • 9. End-to-end deep learning radiomics: development and validation of a novel attention-based aggregate convolutional neural network to distinguish breast diffuse large B-cell lymphoma from breast invasive ductal carcinoma.
    Chen W; Liu F; Wang R; Qi M; Zhang J; Liu X; Song S
    Quant Imaging Med Surg; 2023 Oct; 13(10):6598-6614. PubMed ID: 37869296
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Need for Objective Task-Based Evaluation of Image Segmentation Algorithms for Quantitative PET: A Study with ACRIN 6668/RTOG 0235 Multicenter Clinical Trial Data.
    Liu Z; Mhlanga JC; Xia H; Siegel BA; Jha AK
    J Nucl Med; 2024 Mar; 65(3):485-92. PubMed ID: 38360049
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A physics-guided modular deep-learning based automated framework for tumor segmentation in PET.
    Leung KH; Marashdeh W; Wray R; Ashrafinia S; Pomper MG; Rahmim A; Jha AK
    Phys Med Biol; 2020 Dec; 65(24):245032. PubMed ID: 32235059
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Baseline
    Jing F; Liu Y; Zhao X; Wang N; Dai M; Chen X; Zhang Z; Zhang J; Wang J; Wang Y
    EJNMMI Res; 2023 Oct; 13(1):92. PubMed ID: 37884763
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images.
    Wang Y; Lombardo E; Huang L; Avanzo M; Fanetti G; Franchin G; Zschaeck S; Weingärtner J; Belka C; Riboldi M; Kurz C; Landry G
    Radiat Oncol; 2024 Jan; 19(1):3. PubMed ID: 38191431
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks.
    Jemaa S; Fredrickson J; Carano RAD; Nielsen T; de Crespigny A; Bengtsson T
    J Digit Imaging; 2020 Aug; 33(4):888-894. PubMed ID: 32378059
    [No Abstract]   [Full Text] [Related]  

  • 15. Baseline PET radiomics outperforms the IPI risk score for prediction of outcome in diffuse large B-cell lymphoma.
    Eertink JJ; Zwezerijnen GJC; Heymans MW; Pieplenbosch S; Wiegers SE; Dührsen U; Hüttmann A; Kurch L; Hanoun C; Lugtenburg PJ; Barrington SF; Mikhaeel NG; Ceriani L; Zucca E; Czibor S; Györke T; Chamuleau MED; Hoekstra OS; de Vet HCW; Boellaard R; Zijlstra JM
    Blood; 2023 Jun; 141(25):3055-3064. PubMed ID: 37001036
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prognosis Prediction of Diffuse Large B-cell Lymphoma in
    Qian C; Jiang C; Xie K; Ding C; Teng Y; Sun J; Gao L; Zhou Z; Ni X
    IEEE J Biomed Health Inform; 2024 Apr; PP():. PubMed ID: 38635387
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Automatic Lung Cancer Segmentation in [
    Park J; Kang SK; Hwang D; Choi H; Ha S; Seo JM; Eo JS; Lee JS
    Nucl Med Mol Imaging; 2023 Apr; 57(2):86-93. PubMed ID: 36998591
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning-based combination of [18F]-FDG PET and CT images for producing pulmonary perfusion image.
    Gu J; Qiu Q; Zhu J; Cao Q; Hou Z; Li B; Shu H
    Med Phys; 2023 Dec; 50(12):7779-7790. PubMed ID: 37387645
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases.
    Wesdorp NJ; Zeeuw JM; Postma SCJ; Roor J; van Waesberghe JHTM; van den Bergh JE; Nota IM; Moos S; Kemna R; Vadakkumpadan F; Ambrozic C; van Dieren S; van Amerongen MJ; Chapelle T; Engelbrecht MRW; Gerhards MF; Grunhagen D; van Gulik TM; Hermans JJ; de Jong KP; Klaase JM; Liem MSL; van Lienden KP; Molenaar IQ; Patijn GA; Rijken AM; Ruers TM; Verhoef C; de Wilt JHW; Marquering HA; Stoker J; Swijnenburg RJ; Punt CJA; Huiskens J; Kazemier G
    Eur Radiol Exp; 2023 Dec; 7(1):75. PubMed ID: 38038829
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.