159 related articles for article (PubMed ID: 38617153)
1. Hemodynamic property incorporated brain tumor segmentation by deep learning and density-based analysis of dynamic susceptibility contrast-enhanced magnetic resonance imaging (MRI).
Tang L; Wu T; Hu R; Gu Q; Yang X; Mao H
Quant Imaging Med Surg; 2024 Apr; 14(4):2774-2787. PubMed ID: 38617153
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Assessment of the Agreement between Cerebral Hemodynamic Indices Quantified Using Dynamic Susceptibility Contrast and Dynamic Contrast-enhanced Perfusion Magnetic Resonance Imagings.
Zakariaee SS; Oghabian MA; Firouznia K; Sharifi G; Arbabi F; Samiei F
J Clin Imaging Sci; 2018; 8():2. PubMed ID: 29441225
[TBL] [Abstract][Full Text] [Related]
4. Brain tumor segmentation using 3D Mask R-CNN for dynamic susceptibility contrast enhanced perfusion imaging.
Jeong J; Lei Y; Kahn S; Liu T; Curran WJ; Shu HK; Mao H; Yang X
Phys Med Biol; 2020 Sep; 65(18):185009. PubMed ID: 32674075
[TBL] [Abstract][Full Text] [Related]
5. Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI.
Rahimpour M; Saint Martin MJ; Frouin F; Akl P; Orlhac F; Koole M; Malhaire C
Eur Radiol; 2023 Feb; 33(2):959-969. PubMed ID: 36074262
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Are multi-contrast magnetic resonance images necessary for segmenting multiple sclerosis brains? A large cohort study based on deep learning.
Narayana PA; Coronado I; Sujit SJ; Sun X; Wolinsky JS; Gabr RE
Magn Reson Imaging; 2020 Jan; 65():8-14. PubMed ID: 31670238
[TBL] [Abstract][Full Text] [Related]
8. Brain tumor segmentation using holistically nested neural networks in MRI images.
Zhuge Y; Krauze AV; Ning H; Cheng JY; Arora BC; Camphausen K; Miller RW
Med Phys; 2017 Oct; 44(10):5234-5243. PubMed ID: 28736864
[TBL] [Abstract][Full Text] [Related]
9. A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI.
Haq EU; Jianjun H; Huarong X; Li K; Weng L
Comput Math Methods Med; 2022; 2022():6446680. PubMed ID: 36035291
[TBL] [Abstract][Full Text] [Related]
10. A modified U-Net convolutional neural network for segmenting periprostatic adipose tissue based on contour feature learning.
Wang G; Hu J; Zhang Y; Xiao Z; Huang M; He Z; Chen J; Bai Z
Heliyon; 2024 Feb; 10(3):e25030. PubMed ID: 38318024
[TBL] [Abstract][Full Text] [Related]
11. RFS+: A Clinically Adaptable and Computationally Efficient Strategy for Enhanced Brain Tumor Segmentation.
Duman A; Karakuş O; Sun X; Thomas S; Powell J; Spezi E
Cancers (Basel); 2023 Nov; 15(23):. PubMed ID: 38067324
[TBL] [Abstract][Full Text] [Related]
12. Identifying core MRI sequences for reliable automatic brain metastasis segmentation.
Buchner JA; Peeken JC; Etzel L; Ezhov I; Mayinger M; Christ SM; Brunner TB; Wittig A; Menze BH; Zimmer C; Meyer B; Guckenberger M; Andratschke N; El Shafie RA; Debus J; Rogers S; Riesterer O; Schulze K; Feldmann HJ; Blanck O; Zamboglou C; Ferentinos K; Bilger A; Grosu AL; Wolff R; Kirschke JS; Eitz KA; Combs SE; Bernhardt D; Rueckert D; Piraud M; Wiestler B; Kofler F
Radiother Oncol; 2023 Nov; 188():109901. PubMed ID: 37678623
[TBL] [Abstract][Full Text] [Related]
13. Clinical Evaluation of a Multiparametric Deep Learning Model for Glioblastoma Segmentation Using Heterogeneous Magnetic Resonance Imaging Data From Clinical Routine.
Perkuhn M; Stavrinou P; Thiele F; Shakirin G; Mohan M; Garmpis D; Kabbasch C; Borggrefe J
Invest Radiol; 2018 Nov; 53(11):647-654. PubMed ID: 29863600
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of fully automated myocardial segmentation techniques in native and contrast-enhanced T1-mapping cardiovascular magnetic resonance images using fully convolutional neural networks.
Farrag NA; Lochbihler A; White JA; Ukwatta E
Med Phys; 2021 Jan; 48(1):215-226. PubMed ID: 33131085
[TBL] [Abstract][Full Text] [Related]
15. Primary Central Nervous System Lymphoma: Clinical Evaluation of Automated Segmentation on Multiparametric MRI Using Deep Learning.
Pennig L; Hoyer UCI; Goertz L; Shahzad R; Persigehl T; Thiele F; Perkuhn M; Ruge MI; Kabbasch C; Borggrefe J; Caldeira L; Laukamp KR
J Magn Reson Imaging; 2021 Jan; 53(1):259-268. PubMed ID: 32662130
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Utilizing deep learning via the 3D U-net neural network for the delineation of brain stroke lesions in MRI image.
Soleimani P; Farezi N
Sci Rep; 2023 Nov; 13(1):19808. PubMed ID: 37957203
[TBL] [Abstract][Full Text] [Related]
18. Magnetic resonance image-based brain tumour segmentation methods: A systematic review.
Bhalodiya JM; Lim Choi Keung SN; Arvanitis TN
Digit Health; 2022; 8():20552076221074122. PubMed ID: 35340900
[TBL] [Abstract][Full Text] [Related]
19. Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets.
Jiang J; Hu YC; Tyagi N; Zhang P; Rimner A; Deasy JO; Veeraraghavan H
Med Phys; 2019 Oct; 46(10):4392-4404. PubMed ID: 31274206
[TBL] [Abstract][Full Text] [Related]
20. Automatic segmentation of head and neck primary tumors on MRI using a multi-view CNN.
Schouten JPE; Noteboom S; Martens RM; Mes SW; Leemans CR; de Graaf P; Steenwijk MD
Cancer Imaging; 2022 Jan; 22(1):8. PubMed ID: 35033188
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
