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.
220 related articles for article (PubMed ID: 38880615)
41. Advances in Computational Biology for Diagnosing Neurodegenerative Diseases: A Comprehensive Review. Rao NGR; Singh G; Patil ARB; Aparna TN; Vippamakula S; Dharmalingam S; Kumarasamyraja D; Kumar V Zhongguo Ying Yong Sheng Li Xue Za Zhi; 2024 Jul; 40():e20240008. PubMed ID: 38952174 [TBL] [Abstract][Full Text] [Related]
42. Structure focused neurodegeneration convolutional neural network for modelling and classification of Alzheimer's disease. Odimayo S; Olisah CC; Mohammed K Sci Rep; 2024 Jul; 14(1):15270. PubMed ID: 38961114 [TBL] [Abstract][Full Text] [Related]
43. The Use, Standardization, and Interpretation of Brain Imaging Data in Clinical Trials of Neurodegenerative Disorders. Schwarz AJ Neurotherapeutics; 2021 Apr; 18(2):686-708. PubMed ID: 33846962 [TBL] [Abstract][Full Text] [Related]
44. Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method. Loddo A; Buttau S; Di Ruberto C Comput Biol Med; 2022 Feb; 141():105032. PubMed ID: 34838263 [TBL] [Abstract][Full Text] [Related]
45. Radiomics Analysis Based on Automatic Image Segmentation of DCE-MRI for Predicting Triple-Negative and Nontriple-Negative Breast Cancer. Ma M; Gan L; Jiang Y; Qin N; Li C; Zhang Y; Wang X Comput Math Methods Med; 2021; 2021():2140465. PubMed ID: 34422088 [TBL] [Abstract][Full Text] [Related]
47. Biomarker Extraction Based on Subspace Learning for the Prediction of Mild Cognitive Impairment Conversion. Li Y; Fang Y; Wang J; Zhang H; Hu B Biomed Res Int; 2021; 2021():5531940. PubMed ID: 34513992 [TBL] [Abstract][Full Text] [Related]
48. A novel method and software for automatically classifying Alzheimer's disease patients by magnetic resonance imaging analysis. Previtali F; Bertolazzi P; Felici G; Weitschek E Comput Methods Programs Biomed; 2017 May; 143():89-95. PubMed ID: 28391822 [TBL] [Abstract][Full Text] [Related]
50. A Neural Network Approach to Identify the Peritumoral Invasive Areas in Glioblastoma Patients by Using MR Radiomics. Yan JL; Li C; van der Hoorn A; Boonzaier NR; Matys T; Price SJ Sci Rep; 2020 Jun; 10(1):9748. PubMed ID: 32546790 [TBL] [Abstract][Full Text] [Related]
51. Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment. Lombardi G; Crescioli G; Cavedo E; Lucenteforte E; Casazza G; Bellatorre AG; Lista C; Costantino G; Frisoni G; Virgili G; Filippini G Cochrane Database Syst Rev; 2020 Mar; 3(3):CD009628. PubMed ID: 32119112 [TBL] [Abstract][Full Text] [Related]
52. A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease. Spasov S; Passamonti L; Duggento A; Liò P; Toschi N; Neuroimage; 2019 Apr; 189():276-287. PubMed ID: 30654174 [TBL] [Abstract][Full Text] [Related]
53. Deep learning-Based 3D inpainting of brain MR images. Kang SK; Shin SA; Seo S; Byun MS; Lee DY; Kim YK; Lee DS; Lee JS Sci Rep; 2021 Jan; 11(1):1673. PubMed ID: 33462321 [TBL] [Abstract][Full Text] [Related]
54. Accuracy of Radiomics-Based Feature Analysis on Multiparametric Magnetic Resonance Images for Noninvasive Meningioma Grading. Laukamp KR; Shakirin G; Baeßler B; Thiele F; Zopfs D; Große Hokamp N; Timmer M; Kabbasch C; Perkuhn M; Borggrefe J World Neurosurg; 2019 Dec; 132():e366-e390. PubMed ID: 31476455 [TBL] [Abstract][Full Text] [Related]
55. Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology. Gazula H; Tregidgo HFJ; Billot B; Balbastre Y; Williams-Ramirez J; Herisse R; Deden-Binder LJ; Casamitjana A; Melief EJ; Latimer CS; Kilgore MD; Montine M; Robinson E; Blackburn E; Marshall MS; Connors TR; Oakley DH; Frosch MP; Young SI; Van Leemput K; Dalca AV; Fischl B; MacDonald CL; Keene CD; Hyman BT; Iglesias JE Elife; 2024 Jun; 12():. PubMed ID: 38896568 [TBL] [Abstract][Full Text] [Related]
56. Advanced magnetic resonance imaging of neurodegenerative diseases. Agosta F; Galantucci S; Filippi M Neurol Sci; 2017 Jan; 38(1):41-51. PubMed ID: 27848119 [TBL] [Abstract][Full Text] [Related]
57. Imaging biomarker analysis of advanced multiparametric MRI for glioma grading. Vamvakas A; Williams SC; Theodorou K; Kapsalaki E; Fountas K; Kappas C; Vassiou K; Tsougos I Phys Med; 2019 Apr; 60():188-198. PubMed ID: 30910431 [TBL] [Abstract][Full Text] [Related]
59. Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review. Buchlak QD; Esmaili N; Leveque JC; Bennett C; Farrokhi F; Piccardi M J Clin Neurosci; 2021 Jul; 89():177-198. PubMed ID: 34119265 [TBL] [Abstract][Full Text] [Related]
60. A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease. Liu M; Li F; Yan H; Wang K; Ma Y; ; Shen L; Xu M Neuroimage; 2020 Mar; 208():116459. PubMed ID: 31837471 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]