162 related articles for article (PubMed ID: 33129104)
1. Automatic segmentation and RECIST score evaluation in osteosarcoma using diffusion MRI: A computer aided system process.
Baidya Kayal E; Kandasamy D; Yadav R; Bakhshi S; Sharma R; Mehndiratta A
Eur J Radiol; 2020 Dec; 133():109359. PubMed ID: 33129104
[TBL] [Abstract][Full Text] [Related]
2. SLIC-supervoxels-based response evaluation of osteosarcoma treated with neoadjuvant chemotherapy using multi-parametric MR imaging.
Baidya Kayal E; Kandasamy D; Sharma R; Sharma MC; Bakhshi S; Mehndiratta A
Eur Radiol; 2020 Jun; 30(6):3125-3136. PubMed ID: 32086578
[TBL] [Abstract][Full Text] [Related]
3. Multiparametric MRI with diffusion-weighted imaging in predicting response to chemotherapy in cases of osteosarcoma and Ewing's sarcoma.
Saleh MM; Abdelrahman TM; Madney Y; Mohamed G; Shokry AM; Moustafa AF
Br J Radiol; 2020 Nov; 93(1115):20200257. PubMed ID: 32706980
[TBL] [Abstract][Full Text] [Related]
4. Intravoxel incoherent motion (IVIM) for response assessment in patients with osteosarcoma undergoing neoadjuvant chemotherapy.
Baidya Kayal E; Kandasamy D; Khare K; Bakhshi S; Sharma R; Mehndiratta A
Eur J Radiol; 2019 Oct; 119():108635. PubMed ID: 31445487
[TBL] [Abstract][Full Text] [Related]
5. Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas-aided fuzzy C-means method.
Wu S; Weinstein SP; Conant EF; Kontos D
Med Phys; 2013 Dec; 40(12):122302. PubMed ID: 24320533
[TBL] [Abstract][Full Text] [Related]
6. Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer.
Lin YC; Lin CH; Lu HY; Chiang HJ; Wang HK; Huang YT; Ng SH; Hong JH; Yen TC; Lai CH; Lin G
Eur Radiol; 2020 Mar; 30(3):1297-1305. PubMed ID: 31712961
[TBL] [Abstract][Full Text] [Related]
7. Correlation between apparent diffusion coefficient and histopathology subtypes of osteosarcoma after neoadjuvant chemotherapy.
Wang J; Sun M; Liu D; Hu X; Pui MH; Meng Q; Gao Z
Acta Radiol; 2017 Aug; 58(8):971-976. PubMed ID: 27852643
[TBL] [Abstract][Full Text] [Related]
8. Automatic segmentation of hepatic metastases on DWI images based on a deep learning method: assessment of tumor treatment response according to the RECIST 1.1 criteria.
Liu X; Wang R; Zhu Z; Wang K; Gao Y; Li J; Zhang Y; Wang X; Zhang X; Wang X
BMC Cancer; 2022 Dec; 22(1):1285. PubMed ID: 36476181
[TBL] [Abstract][Full Text] [Related]
9. Prediction of Poor Responders to Neoadjuvant Chemotherapy in Patients with Osteosarcoma: Additive Value of Diffusion-Weighted MRI including Volumetric Analysis to Standard MRI at 3T.
Lee SK; Jee WH; Jung CK; Im SA; Chung NG; Chung YG
PLoS One; 2020; 15(3):e0229983. PubMed ID: 32155203
[TBL] [Abstract][Full Text] [Related]
10. The value of diffusion weighted imaging and apparent diffusion coefficient in primary Osteogenic and Ewing sarcomas for the monitoring of response to treatment: Initial experience.
Asmar K; Saade C; Salman R; Saab R; Khoury NJ; Abboud M; Tamim H; Makki M; Naffaa L
Eur J Radiol; 2020 Mar; 124():108855. PubMed ID: 32018075
[TBL] [Abstract][Full Text] [Related]
11. Fully Automated Enhanced Tumor Compartmentalization: Man vs. Machine Reloaded.
Porz N; Habegger S; Meier R; Verma R; Jilch A; Fichtner J; Knecht U; Radina C; Schucht P; Beck J; Raabe A; Slotboom J; Reyes M; Wiest R
PLoS One; 2016; 11(11):e0165302. PubMed ID: 27806121
[TBL] [Abstract][Full Text] [Related]
12. Diffusion-weighted magnetic resonance imaging during radiotherapy of locally advanced cervical cancer--treatment response assessment using different segmentation methods.
Haack S; Tanderup K; Kallehauge JF; Mohamed SM; Lindegaard JC; Pedersen EM; Jespersen SN
Acta Oncol; 2015; 54(9):1535-42. PubMed ID: 26217984
[TBL] [Abstract][Full Text] [Related]
13. Diffusion volume (DV) measurement in endometrial and cervical cancer: A new MRI parameter in the evaluation of the tumor grading and the risk classification.
Mainenti PP; Pizzuti LM; Segreto S; Comerci M; Fronzo S; Romano F; Crisci V; Smaldone M; Laccetti E; Storto G; Alfano B; Maurea S; Salvatore M; Pace L
Eur J Radiol; 2016 Jan; 85(1):113-124. PubMed ID: 26724655
[TBL] [Abstract][Full Text] [Related]
14. A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET.
Belhassen S; Zaidi H
Med Phys; 2010 Mar; 37(3):1309-24. PubMed ID: 20384268
[TBL] [Abstract][Full Text] [Related]
15. Assessment of immunotherapy response in intracranial malignancy using semi-automatic segmentation on magnetic resonance images.
Tan J; Liu C; Li Y; Ma Y; Xie R; Li Z; Wan H; Lui S; Wu M
Front Immunol; 2022; 13():1029656. PubMed ID: 36591295
[TBL] [Abstract][Full Text] [Related]
16. A whole-body diffusion MRI normal atlas: development, evaluation and initial use.
Sjöholm T; Tarai S; Malmberg F; Strand R; Korenyushkin A; Enblad G; Ahlström H; Kullberg J
Cancer Imaging; 2023 Sep; 23(1):87. PubMed ID: 37710346
[TBL] [Abstract][Full Text] [Related]
17. Monitoring Response to Neoadjuvant Chemotherapy of Primary Osteosarcoma Using Diffusion Kurtosis Magnetic Resonance Imaging: Initial Findings.
Liu C; Xi Y; Li M; Jiao Q; Zhang H; Yang Q; Yao W
Korean J Radiol; 2019 May; 20(5):801-811. PubMed ID: 30993931
[TBL] [Abstract][Full Text] [Related]
18. Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation.
Liu Y; Zhang Y; Cheng R; Liu S; Qu F; Yin X; Wang Q; Xiao B; Ye Z
J Magn Reson Imaging; 2019 Jan; 49(1):280-290. PubMed ID: 29761595
[TBL] [Abstract][Full Text] [Related]
19. Comparison of unsupervised classification methods for brain tumor segmentation using multi-parametric MRI.
Sauwen N; Acou M; Van Cauter S; Sima DM; Veraart J; Maes F; Himmelreich U; Achten E; Van Huffel S
Neuroimage Clin; 2016; 12():753-764. PubMed ID: 27812502
[TBL] [Abstract][Full Text] [Related]
20. Usefulness of diffusion-weighted MRI in the initial assessment of osseous sarcomas in children and adolescents.
Alsharief AN; Martinez-Rios C; Hopyan S; Amirabadi A; Doria AS; Greer MC
Pediatr Radiol; 2019 Aug; 49(9):1201-1208. PubMed ID: 31203404
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]