192 related articles for article (PubMed ID: 35625967)
21. Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.
Bernatz S; Ackermann J; Mandel P; Kaltenbach B; Zhdanovich Y; Harter PN; Döring C; Hammerstingl R; Bodelle B; Smith K; Bucher A; Albrecht M; Rosbach N; Basten L; Yel I; Wenzel M; Bankov K; Koch I; Chun FK; Köllermann J; Wild PJ; Vogl TJ
Eur Radiol; 2020 Dec; 30(12):6757-6769. PubMed ID: 32676784
[TBL] [Abstract][Full Text] [Related]
22. MRI-based Identification and Classification of Major Intracranial Tumor Types by Using a 3D Convolutional Neural Network: A Retrospective Multi-institutional Analysis.
Chakrabarty S; Sotiras A; Milchenko M; LaMontagne P; Hileman M; Marcus D
Radiol Artif Intell; 2021 Sep; 3(5):e200301. PubMed ID: 34617029
[TBL] [Abstract][Full Text] [Related]
23. Classification of High-Grade Glioma into Tumor and Nontumor Components Using Support Vector Machine.
Blumenthal DT; Artzi M; Liberman G; Bokstein F; Aizenstein O; Ben Bashat D
AJNR Am J Neuroradiol; 2017 May; 38(5):908-914. PubMed ID: 28385884
[TBL] [Abstract][Full Text] [Related]
24. Histologic subtype classification of non-small cell lung cancer using PET/CT images.
Han Y; Ma Y; Wu Z; Zhang F; Zheng D; Liu X; Tao L; Liang Z; Yang Z; Li X; Huang J; Guo X
Eur J Nucl Med Mol Imaging; 2021 Feb; 48(2):350-360. PubMed ID: 32776232
[TBL] [Abstract][Full Text] [Related]
25. MRI Radiomic Features to Predict IDH1 Mutation Status in Gliomas: A Machine Learning Approach using Gradient Tree Boosting.
Sakai Y; Yang C; Kihira S; Tsankova N; Khan F; Hormigo A; Lai A; Cloughesy T; Nael K
Int J Mol Sci; 2020 Oct; 21(21):. PubMed ID: 33121211
[TBL] [Abstract][Full Text] [Related]
26. Clinical Applications of Artificial Intelligence, Machine Learning, and Deep Learning in the Imaging of Gliomas: A Systematic Review.
Alhasan AS
Cureus; 2021 Nov; 13(11):e19580. PubMed ID: 34926051
[TBL] [Abstract][Full Text] [Related]
27. Multiclass imbalance learning: Improving classification of pediatric brain tumors from magnetic resonance spectroscopy.
Zarinabad N; Wilson M; Gill SK; Manias KA; Davies NP; Peet AC
Magn Reson Med; 2017 Jun; 77(6):2114-2124. PubMed ID: 27404900
[TBL] [Abstract][Full Text] [Related]
28. Towards effective machine learning in medical imaging analysis: A novel approach and expert evaluation of high-grade glioma 'ground truth' simulation on MRI.
Sepehri K; Song X; Proulx R; Hajra SG; Dobberthien B; Liu CC; D'Arcy RCN; Murray D; Krauze AV
Int J Med Inform; 2021 Feb; 146():104348. PubMed ID: 33285357
[TBL] [Abstract][Full Text] [Related]
29. Diagnostic accuracy and potential covariates for machine learning to identify IDH mutations in glioma patients: evidence from a meta-analysis.
Zhao J; Huang Y; Song Y; Xie D; Hu M; Qiu H; Chu J
Eur Radiol; 2020 Aug; 30(8):4664-4674. PubMed ID: 32193643
[TBL] [Abstract][Full Text] [Related]
30. Radiomic Features and Machine Learning for the Discrimination of Renal Tumor Histological Subtypes: A Pragmatic Study Using Clinical-Routine Computed Tomography.
Uhlig J; Leha A; Delonge LM; Haack AM; Shuch B; Kim HS; Bremmer F; Trojan L; Lotz J; Uhlig A
Cancers (Basel); 2020 Oct; 12(10):. PubMed ID: 33081400
[TBL] [Abstract][Full Text] [Related]
31. Machine learning based on multi-parametric magnetic resonance imaging to differentiate glioblastoma multiforme from primary cerebral nervous system lymphoma.
Nakagawa M; Nakaura T; Namimoto T; Kitajima M; Uetani H; Tateishi M; Oda S; Utsunomiya D; Makino K; Nakamura H; Mukasa A; Hirai T; Yamashita Y
Eur J Radiol; 2018 Nov; 108():147-154. PubMed ID: 30396648
[TBL] [Abstract][Full Text] [Related]
32. Radiomics of Brain MRI: Utility in Prediction of Metastatic Tumor Type.
Kniep HC; Madesta F; Schneider T; Hanning U; Schönfeld MH; Schön G; Fiehler J; Gauer T; Werner R; Gellissen S
Radiology; 2019 Feb; 290(2):479-487. PubMed ID: 30526358
[TBL] [Abstract][Full Text] [Related]
33. Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images.
Ferjaoui R; Cherni MA; Boujnah S; Kraiem NEH; Kraiem T
Comput Methods Programs Biomed; 2021 Sep; 209():106320. PubMed ID: 34390938
[TBL] [Abstract][Full Text] [Related]
34. A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI.
Zahoor MM; Qureshi SA; Bibi S; Khan SH; Khan A; Ghafoor U; Bhutta MR
Sensors (Basel); 2022 Apr; 22(7):. PubMed ID: 35408340
[TBL] [Abstract][Full Text] [Related]
35. The diagnostic value of texture analysis in predicting WHO grades of meningiomas based on ADC maps: an attempt using decision tree and decision forest.
Lu Y; Liu L; Luan S; Xiong J; Geng D; Yin B
Eur Radiol; 2019 Mar; 29(3):1318-1328. PubMed ID: 30088065
[TBL] [Abstract][Full Text] [Related]
36. A Novel Transfer Learning Approach to Enhance Deep Neural Network Classification of Brain Functional Connectomes.
Li H; Parikh NA; He L
Front Neurosci; 2018; 12():491. PubMed ID: 30087587
[TBL] [Abstract][Full Text] [Related]
37. Metabolic Tumor Microenvironment Characterization of Contrast Enhancing Brain Tumors Using Physiologic MRI.
Stadlbauer A; Marhold F; Oberndorfer S; Heinz G; Zimmermann M; Buchfelder M; Heynold E; Kinfe TM
Metabolites; 2021 Sep; 11(10):. PubMed ID: 34677383
[TBL] [Abstract][Full Text] [Related]
38. Handcrafted and Deep Learning-Based Radiomic Models Can Distinguish GBM from Brain Metastasis.
Liu Z; Jiang Z; Meng L; Yang J; Liu Y; Zhang Y; Peng H; Li J; Xiao G; Zhang Z; Zhou R
J Oncol; 2021; 2021():5518717. PubMed ID: 34188680
[TBL] [Abstract][Full Text] [Related]
39. Superior skin cancer classification by the combination of human and artificial intelligence.
Hekler A; Utikal JS; Enk AH; Hauschild A; Weichenthal M; Maron RC; Berking C; Haferkamp S; Klode J; Schadendorf D; Schilling B; Holland-Letz T; Izar B; von Kalle C; Fröhling S; Brinker TJ;
Eur J Cancer; 2019 Oct; 120():114-121. PubMed ID: 31518967
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]