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.
369 related articles for article (PubMed ID: 35720336)
1. Clinical Variables, Deep Learning and Radiomics Features Help Predict the Prognosis of Adult Anti-N-methyl-D-aspartate Receptor Encephalitis Early: A Two-Center Study in Southwest China. Xiang Y; Dong X; Zeng C; Liu J; Liu H; Hu X; Feng J; Du S; Wang J; Han Y; Luo Q; Chen S; Li Y Front Immunol; 2022; 13():913703. PubMed ID: 35720336 [TBL] [Abstract][Full Text] [Related]
2. Deep Learning-Enabled Identification of Autoimmune Encephalitis on 3D Multi-Sequence MRI. Xiang Y; Zeng C; Liu B; Tan W; Wu J; Hu X; Han Y; Luo Q; Gong J; Liu J; Li Y J Magn Reson Imaging; 2022 Apr; 55(4):1082-1092. PubMed ID: 34478565 [TBL] [Abstract][Full Text] [Related]
3. Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI. Yang X; Fan X; Lin S; Zhou Y; Liu H; Wang X; Zuo Z; Zeng Y J Magn Reson Imaging; 2024 Jun; 59(6):2238-2249. PubMed ID: 37855421 [TBL] [Abstract][Full Text] [Related]
4. Integrating MRI-based radiomics and clinicopathological features for preoperative prognostication of early-stage cervical adenocarcinoma patients: in comparison to deep learning approach. Qiu H; Wang M; Wang S; Li X; Wang D; Qin Y; Xu Y; Yin X; Hacker M; Han S; Li X Cancer Imaging; 2024 Aug; 24(1):101. PubMed ID: 39090668 [TBL] [Abstract][Full Text] [Related]
5. Factors influencing prognosis and relapse in patients with anti-N-methyl-D-aspartate receptor encephalitis. Wu Q; Xie Q; Liu L; Meng C; Wang J Mult Scler Relat Disord; 2023 Jun; 74():104697. PubMed ID: 37031550 [TBL] [Abstract][Full Text] [Related]
6. Preoperative Discrimination of CDKN2A/B Homozygous Deletion Status in Isocitrate Dehydrogenase-Mutant Astrocytoma: A Deep Learning-Based Radiomics Model Using MRI. Gao J; Liu Z; Pan H; Cao X; Kan Y; Wen Z; Chen S; Wen M; Zhang L J Magn Reson Imaging; 2024 May; 59(5):1655-1664. PubMed ID: 37555723 [TBL] [Abstract][Full Text] [Related]
7. External Assessment of the Anti-N-Methyl-D-Aspartate Receptor Encephalitis One-Year Functional Status Score in Chinese Pediatric Patients. Luo H; Li Y; Zheng Y; Zhou L; Yang J; Fang Z; Jiang Y; Wang J; Yao Z; Chen M; Jiang L Front Immunol; 2022; 13():889394. PubMed ID: 35812389 [TBL] [Abstract][Full Text] [Related]
8. Acute radiological features facilitate diagnosis and prognosis of anti-N-methyl-d-aspartate receptor (NMDAR) and anti-voltage-gated potassium channel (VGKC) encephalitis in adults. Neo S; Yeo T; Chen Z; Ngiam NHW; Lim ET; Tan K; Lim TCC J Neurol Sci; 2020 Dec; 419():117216. PubMed ID: 33171389 [TBL] [Abstract][Full Text] [Related]
9. A deep learning model combining multimodal radiomics, clinical and imaging features for differentiating ocular adnexal lymphoma from idiopathic orbital inflammation. Xie X; Yang L; Zhao F; Wang D; Zhang H; He X; Cao X; Yi H; He X; Hou Y Eur Radiol; 2022 Oct; 32(10):6922-6932. PubMed ID: 35674824 [TBL] [Abstract][Full Text] [Related]
10. Combining multiparametric MRI features-based transfer learning and clinical parameters: application of machine learning for the differentiation of uterine sarcomas from atypical leiomyomas. Dai M; Liu Y; Hu Y; Li G; Zhang J; Xiao Z; Lv F Eur Radiol; 2022 Nov; 32(11):7988-7997. PubMed ID: 35583712 [TBL] [Abstract][Full Text] [Related]
11. Development of a short-term prognostic model for anti-N-methyl-D-aspartate receptor encephalitis in Chinese patients. Zhang J; Li Y; Liu L; Dai F; Peng Y; Ma Q; Li L; Hong Y; Liu A; Zhang X; Wang X; He J; Bu H; Guo Y; Jiang H; Cui S; Sun H; Wang J BMC Neurol; 2024 Aug; 24(1):276. PubMed ID: 39123191 [TBL] [Abstract][Full Text] [Related]
12. MRI radiomics may predict early tumor recurrence in patients with sinonasal squamous cell carcinoma. Park CJ; Choi SH; Kim D; Kim SB; Han K; Ahn SS; Lee WH; Choi EC; Keum KC; Kim J Eur Radiol; 2024 May; 34(5):3151-3159. PubMed ID: 37926740 [TBL] [Abstract][Full Text] [Related]
13. The Clinical Features and Prognosis of Anti-NMDAR Encephalitis Depends on Blood Brain Barrier Integrity. Yu Y; Wu Y; Cao X; Li J; Liao X; Wei J; Huang W Mult Scler Relat Disord; 2021 Jan; 47():102604. PubMed ID: 33130468 [TBL] [Abstract][Full Text] [Related]
14. Thyroid Function and Autoimmune Indications in Patients with Anti-N-Methyl-D-Aspartate Receptor Encephalitis. Ma X; Yin Q; Zeng Z; Wang C; Yang Y; Guo S Neuroimmunomodulation; 2018; 25(2):110-117. PubMed ID: 30157483 [TBL] [Abstract][Full Text] [Related]
15. Multiparametric Magnetic Resonance Imaging-Based Peritumoral Radiomics for Preoperative Prediction of the Presence of Extracapsular Extension With Prostate Cancer. Bai H; Xia W; Ji X; He D; Zhao X; Bao J; Zhou J; Wei X; Huang Y; Li Q; Gao X J Magn Reson Imaging; 2021 Oct; 54(4):1222-1230. PubMed ID: 33970517 [TBL] [Abstract][Full Text] [Related]
16. Machine learning-based multiparametric magnetic resonance imaging radiomics model for distinguishing central neurocytoma from glioma of lateral ventricle. Mo H; Liang W; Huang Z; Li X; Xiao X; Liu H; He J; Xu Y; Wu Y Eur Radiol; 2023 Jun; 33(6):4259-4269. PubMed ID: 36547672 [TBL] [Abstract][Full Text] [Related]
17. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma. Tang Y; Yang CM; Su S; Wang WJ; Fan LP; Shu J BMC Cancer; 2021 Nov; 21(1):1268. PubMed ID: 34819043 [TBL] [Abstract][Full Text] [Related]
18. Associating Peritoneal Metastasis With T2-Weighted MRI Images in Epithelial Ovarian Cancer Using Deep Learning and Radiomics: A Multicenter Study. Wei M; Zhang Y; Ding C; Jia J; Xu H; Dai Y; Feng G; Qin C; Bai G; Chen S; Wang H J Magn Reson Imaging; 2024 Jan; 59(1):122-131. PubMed ID: 37134000 [TBL] [Abstract][Full Text] [Related]
19. Brain magnetic resonance-imaging findings of anti-N-methyl-D-aspartate receptor encephalitis: a cohort follow-up study in Chinese patients. Wang R; Lai XH; Liu X; Li YJ; Chen C; Li C; Chi XS; Zhou D; Hong Z J Neurol; 2018 Feb; 265(2):362-369. PubMed ID: 29249055 [TBL] [Abstract][Full Text] [Related]
20. Comparing three-dimensional and two-dimensional deep-learning, radiomics, and fusion models for predicting occult lymph node metastasis in laryngeal squamous cell carcinoma based on CT imaging: a multicentre, retrospective, diagnostic study. Wang W; Liang H; Zhang Z; Xu C; Wei D; Li W; Qian Y; Zhang L; Liu J; Lei D EClinicalMedicine; 2024 Jan; 67():102385. PubMed ID: 38261897 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]