These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
187 related articles for article (PubMed ID: 33360973)
1. GAMER MRI: Gated-attention mechanism ranking of multi-contrast MRI in brain pathology. Lu PJ; Yoo Y; Rahmanzadeh R; Galbusera R; Weigel M; Ceccaldi P; Nguyen TD; Spincemaille P; Wang Y; Daducci A; La Rosa F; Bach Cuadra M; Sandkühler R; Nael K; Doshi A; Fayad ZA; Kuhle J; Kappos L; Odry B; Cattin P; Gibson E; Granziera C Neuroimage Clin; 2021; 29():102522. PubMed ID: 33360973 [TBL] [Abstract][Full Text] [Related]
2. A comparative assessment of myelin-sensitive measures in multiple sclerosis patients and healthy subjects. Rahmanzadeh R; Weigel M; Lu PJ; Melie-Garcia L; Nguyen TD; Cagol A; La Rosa F; Barakovic M; Lutti A; Wang Y; Bach Cuadra M; Radue EW; Gaetano L; Kappos L; Kuhle J; Magon S; Granziera C Neuroimage Clin; 2022; 36():103177. PubMed ID: 36067611 [TBL] [Abstract][Full Text] [Related]
3. Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls. Yoo Y; Tang LYW; Brosch T; Li DKB; Kolind S; Vavasour I; Rauscher A; MacKay AL; Traboulsee A; Tam RC Neuroimage Clin; 2018; 17():169-178. PubMed ID: 29071211 [TBL] [Abstract][Full Text] [Related]
4. GAMER-MRI in Multiple Sclerosis Identifies the Diffusion-Based Microstructural Measures That Are Most Sensitive to Focal Damage: A Deep-Learning-Based Analysis and Clinico-Biological Validation. Lu PJ; Barakovic M; Weigel M; Rahmanzadeh R; Galbusera R; Schiavi S; Daducci A; La Rosa F; Bach Cuadra M; Sandkühler R; Kuhle J; Kappos L; Cattin P; Granziera C Front Neurosci; 2021; 15():647535. PubMed ID: 33889069 [TBL] [Abstract][Full Text] [Related]
5. Deep symmetric three-dimensional convolutional neural networks for identifying acute ischemic stroke via diffusion-weighted images. Cui L; Han S; Qi S; Duan Y; Kang Y; Luo Y J Xray Sci Technol; 2021; 29(4):551-566. PubMed ID: 33967077 [TBL] [Abstract][Full Text] [Related]
6. QSMRim-Net: Imbalance-aware learning for identification of chronic active multiple sclerosis lesions on quantitative susceptibility maps. Zhang H; Nguyen TD; Zhang J; Marcille M; Spincemaille P; Wang Y; Gauthier SA; Sweeney EM Neuroimage Clin; 2022; 34():102979. PubMed ID: 35247730 [TBL] [Abstract][Full Text] [Related]
7. Lesion segmentation from multimodal MRI using random forest following ischemic stroke. Mitra J; Bourgeat P; Fripp J; Ghose S; Rose S; Salvado O; Connelly A; Campbell B; Palmer S; Sharma G; Christensen S; Carey L Neuroimage; 2014 Sep; 98():324-35. PubMed ID: 24793830 [TBL] [Abstract][Full Text] [Related]
8. RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis. Barquero G; La Rosa F; Kebiri H; Lu PJ; Rahmanzadeh R; Weigel M; Fartaria MJ; Kober T; Théaudin M; Du Pasquier R; Sati P; Reich DS; Absinta M; Granziera C; Maggi P; Bach Cuadra M Neuroimage Clin; 2020; 28():102412. PubMed ID: 32961401 [TBL] [Abstract][Full Text] [Related]
9. Semi-automatic classification of prostate cancer on multi-parametric MR imaging using a multi-channel 3D convolutional neural network. Aldoj N; Lukas S; Dewey M; Penzkofer T Eur Radiol; 2020 Feb; 30(2):1243-1253. PubMed ID: 31468158 [TBL] [Abstract][Full Text] [Related]
10. Quantitative neuroimaging measures of myelin in the healthy brain and in multiple sclerosis. O'Muircheartaigh J; Vavasour I; Ljungberg E; Li DKB; Rauscher A; Levesque V; Garren H; Clayton D; Tam R; Traboulsee A; Kolind S Hum Brain Mapp; 2019 May; 40(7):2104-2116. PubMed ID: 30648315 [TBL] [Abstract][Full Text] [Related]
12. The montage method improves the classification of suspected acute ischemic stroke using the convolution neural network and brain MRI. Oura D; Gekka M; Sugimori H Radiol Phys Technol; 2024 Mar; 17(1):297-305. PubMed ID: 37934345 [TBL] [Abstract][Full Text] [Related]
13. Automated separation of diffusely abnormal white matter from focal white matter lesions on MRI in multiple sclerosis. Maranzano J; Dadar M; Zhernovaia M; Arnold DL; Collins DL; Narayanan S Neuroimage; 2020 Jun; 213():116690. PubMed ID: 32119987 [TBL] [Abstract][Full Text] [Related]
14. [Diffusion weighted MR: principles and clinical use in selected brain diseases]. Nistri M; Mascalchi M; Moretti M; Tessa C; Politi LS; Orlandi I; Pellicanò G; Villari N Radiol Med; 2000 Dec; 100(6):470-9. PubMed ID: 11307509 [TBL] [Abstract][Full Text] [Related]
15. Neuro-fuzzy patch-wise R-CNN for multiple sclerosis segmentation. Essa E; Aldesouky D; Hussein SE; Rashad MZ Med Biol Eng Comput; 2020 Sep; 58(9):2161-2175. PubMed ID: 32681214 [TBL] [Abstract][Full Text] [Related]
16. Use of perfusion- and diffusion-weighted imaging in differential diagnosis of acute and chronic ischemic stroke and multiple sclerosis. Zivadinov R; Bergsland N; Stosic M; Sharma J; Nussenbaum F; Durfee J; Hani N; Abdelrahman N; Jaisani Z; Minagar A; Hoque R; Munschauer FE; Dwyer MG Neurol Res; 2008 Oct; 30(8):816-26. PubMed ID: 18826808 [TBL] [Abstract][Full Text] [Related]
17. Diffusion-weighted MR of the brain: methodology and clinical application. Mascalchi M; Filippi M; Floris R; Fonda C; Gasparotti R; Villari N Radiol Med; 2005 Mar; 109(3):155-97. PubMed ID: 15775887 [TBL] [Abstract][Full Text] [Related]
18. Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics. Carré A; Klausner G; Edjlali M; Lerousseau M; Briend-Diop J; Sun R; Ammari S; Reuzé S; Alvarez Andres E; Estienne T; Niyoteka S; Battistella E; Vakalopoulou M; Dhermain F; Paragios N; Deutsch E; Oppenheim C; Pallud J; Robert C Sci Rep; 2020 Jul; 10(1):12340. PubMed ID: 32704007 [TBL] [Abstract][Full Text] [Related]
19. 2.5-Minute Fast Brain MRI with Multiple Contrasts in Acute Ischemic Stroke. Kits A; Al-Saadi J; De Luca F; Janzon F; Mazya MV; Lundberg J; Sprenger T; Skare S; Delgado AF Neuroradiology; 2024 May; 66(5):737-747. PubMed ID: 38462584 [TBL] [Abstract][Full Text] [Related]
20. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network. Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]