BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

271 related articles for article (PubMed ID: 37307766)

  • 1. 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; 240():107644. PubMed ID: 37307766
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MSFR-Net: Multi-modality and single-modality feature recalibration network for brain tumor segmentation.
    Li X; Jiang Y; Li M; Zhang J; Yin S; Luo H
    Med Phys; 2023 Apr; 50(4):2249-2262. PubMed ID: 35962724
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Joint learning-based feature reconstruction and enhanced network for incomplete multi-modal brain tumor segmentation.
    Diao Y; Li F; Li Z
    Comput Biol Med; 2023 Sep; 163():107234. PubMed ID: 37450967
    [TBL] [Abstract][Full Text] [Related]  

  • 4. D
    Yang Q; Guo X; Chen Z; Woo PYM; Yuan Y
    IEEE Trans Med Imaging; 2022 Oct; 41(10):2953-2964. PubMed ID: 35576425
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-Modal Brain Tumor Data Completion Based on Reconstruction Consistency Loss.
    Jiang Y; Zhang S; Chi J
    J Digit Imaging; 2023 Aug; 36(4):1794-1807. PubMed ID: 36856903
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Generative Adversarial Networks to Synthesize Missing T1 and FLAIR MRI Sequences for Use in a Multisequence Brain Tumor Segmentation Model.
    Conte GM; Weston AD; Vogelsang DC; Philbrick KA; Cai JC; Barbera M; Sanvito F; Lachance DH; Jenkins RB; Tobin WO; Eckel-Passow JE; Erickson BJ
    Radiology; 2021 May; 299(2):313-323. PubMed ID: 33687284
    [TBL] [Abstract][Full Text] [Related]  

  • 7. DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images.
    Zeineldin RA; Karar ME; Coburger J; Wirtz CR; Burgert O
    Int J Comput Assist Radiol Surg; 2020 Jun; 15(6):909-920. PubMed ID: 32372386
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation.
    Jiang J; Riyahi Alam S; Chen I; Zhang P; Rimner A; Deasy JO; Veeraraghavan H
    Med Phys; 2021 Jul; 48(7):3702-3713. PubMed ID: 33905558
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Scalable Swin Transformer network for brain tumor segmentation from incomplete MRI modalities.
    Zhang D; Wang C; Chen T; Chen W; Shen Y
    Artif Intell Med; 2024 Mar; 149():102788. PubMed ID: 38462288
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Feasibility Study on Deep Learning Based Brain Tumor Segmentation Using 2D Ellipse Box Areas.
    Ali MB; Bai X; Gu IY; Berger MS; Jakola AS
    Sensors (Basel); 2022 Jul; 22(14):. PubMed ID: 35890972
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A literature survey of MR-based brain tumor segmentation with missing modalities.
    Zhou T; Ruan S; Hu H
    Comput Med Imaging Graph; 2023 Mar; 104():102167. PubMed ID: 36584536
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities.
    Zhou T; Canu S; Vera P; Ruan S
    IEEE Trans Image Process; 2021; 30():4263-4274. PubMed ID: 33830924
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Learning With Privileged Multimodal Knowledge for Unimodal Segmentation.
    Chen C; Dou Q; Jin Y; Liu Q; Heng PA
    IEEE Trans Med Imaging; 2022 Mar; 41(3):621-632. PubMed ID: 34633927
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences.
    Rahimpour M; Bertels J; Radwan A; Vandermeulen H; Sunaert S; Vandermeulen D; Maes F; Goffin K; Koole M
    IEEE Trans Biomed Eng; 2022 Jul; 69(7):2153-2164. PubMed ID: 34941496
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Super-resolution of brain tumor MRI images based on deep learning.
    Zhou Z; Ma A; Feng Q; Wang R; Cheng L; Chen X; Yang X; Liao K; Miao Y; Qiu Y
    J Appl Clin Med Phys; 2022 Nov; 23(11):e13758. PubMed ID: 36107021
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks.
    Ribalta Lorenzo P; Nalepa J; Bobek-Billewicz B; Wawrzyniak P; Mrukwa G; Kawulok M; Ulrych P; Hayball MP
    Comput Methods Programs Biomed; 2019 Jul; 176():135-148. PubMed ID: 31200901
    [TBL] [Abstract][Full Text] [Related]  

  • 17. RAAGR2-Net: A brain tumor segmentation network using parallel processing of multiple spatial frames.
    Rehman MU; Ryu J; Nizami IF; Chong KT
    Comput Biol Med; 2023 Jan; 152():106426. PubMed ID: 36565485
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automatic segmentation of glioblastoma multiform brain tumor in MRI images: Using Deeplabv3+ with pre-trained Resnet18 weights.
    Khodadadi Shoushtari F; Sina S; Dehkordi ANV
    Phys Med; 2022 Aug; 100():51-63. PubMed ID: 35732092
    [TBL] [Abstract][Full Text] [Related]  

  • 19. ABUS tumor segmentation via decouple contrastive knowledge distillation.
    Pan P; Li Y; Chen H; Sun J; Li X; Cheng L
    Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38052091
    [No Abstract]   [Full Text] [Related]  

  • 20. Application of deep learning for automatic segmentation of brain tumors on magnetic resonance imaging: a heuristic approach in the clinical scenario.
    Di Ieva A; Russo C; Liu S; Jian A; Bai MY; Qian Y; Magnussen JS
    Neuroradiology; 2021 Aug; 63(8):1253-1262. PubMed ID: 33501512
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.