177 related articles for article (PubMed ID: 33395995)
21. Postoperative seizure outcome-guided machine learning for interictal electrocorticography in neocortical epilepsy.
Park SC; Chung CK
J Neurophysiol; 2018 Jun; 119(6):2265-2275. PubMed ID: 29513147
[TBL] [Abstract][Full Text] [Related]
22. Distinct topographic-anatomical patterns in primary and secondary brain tumors and their therapeutic potential.
Akeret K; Staartjes VE; Vasella F; Serra C; Fierstra J; Neidert MC; Regli L; Krayenbühl N
J Neurooncol; 2020 Aug; 149(1):73-85. PubMed ID: 32643065
[TBL] [Abstract][Full Text] [Related]
23. Predicting seizure freedom with AED treatment in newly diagnosed patients with MRI-negative epilepsy: A large cohort and multicenter study.
Yang S; Han X; Wang N; Gu R; Chen W; Wang E; Chen Y; He G; Zhu X; Ma B; Li M; Zhao P; Han J; Fang Y; Zeng J; Bai Y; Zhao T; Chen Y
Epilepsy Behav; 2020 May; 106():107022. PubMed ID: 32217419
[TBL] [Abstract][Full Text] [Related]
24. Epileptic seizure anticipation and localisation of epileptogenic region using EEG signals.
Sharma A; Rai JK; Tewari RP
J Med Eng Technol; 2018 Apr; 42(3):203-216. PubMed ID: 29798696
[TBL] [Abstract][Full Text] [Related]
25. Predicting subjective failure of ACL reconstruction: a machine learning analysis of the Norwegian Knee Ligament Register and patient reported outcomes.
Martin RK; Wastvedt S; Pareek A; Persson A; Visnes H; Fenstad AM; Moatshe G; Wolfson J; Engebretsen L
J ISAKOS; 2022 Jun; 7(3):1-9. PubMed ID: 36178391
[TBL] [Abstract][Full Text] [Related]
26. Artificial intelligence system, based on mjn-SERAS algorithm, for the early detection of seizures in patients with refractory focal epilepsy: A cross-sectional pilot study.
Torres-Gaona G; Aledo-Serrano Á; García-Morales I; Toledano R; Valls J; Cosculluela B; Munsó L; Raurich X; Trejo A; Blanquez D; Gil-Nagel A
Epilepsy Behav Rep; 2023; 22():100600. PubMed ID: 37252270
[TBL] [Abstract][Full Text] [Related]
27. Automated seizure prediction.
Acharya UR; Hagiwara Y; Adeli H
Epilepsy Behav; 2018 Nov; 88():251-261. PubMed ID: 30317059
[TBL] [Abstract][Full Text] [Related]
28. Discriminating preictal and interictal brain states in intracranial EEG by sample entropy and extreme learning machine.
Song Y; Zhang J
J Neurosci Methods; 2016 Jan; 257():45-54. PubMed ID: 26335801
[TBL] [Abstract][Full Text] [Related]
29. Epilepsy in patients with primary brain tumors: The impact on mood, cognition, and HRQOL.
Rahman Z; Wong CH; Dexter M; Olsson G; Wong M; Gebsky V; Nahar N; Wood A; Byth K; King M; Bleasel AB
Epilepsy Behav; 2015 Jul; 48():88-95. PubMed ID: 26136184
[TBL] [Abstract][Full Text] [Related]
30. Explainable machine learning for chronic lymphocytic leukemia treatment prediction using only inexpensive tests.
Meiseles A; Paley D; Ziv M; Hadid Y; Rokach L; Tadmor T
Comput Biol Med; 2022 Jun; 145():105490. PubMed ID: 35405402
[TBL] [Abstract][Full Text] [Related]
31. Prediction of epilepsy surgery outcome using foramen ovale EEG - A machine learning approach.
Miron G; Müller PM; Holtkamp M; Meisel C
Epilepsy Res; 2023 Mar; 191():107111. PubMed ID: 36857943
[TBL] [Abstract][Full Text] [Related]
32. Radiomics-Based Machine Learning to Predict Recurrence in Glioma Patients Using Magnetic Resonance Imaging.
Hu G; Hu X; Yang K; Yu Y; Jiang Z; Liu Y; Liu D; Hu X; Xiao H; Zou Y; You Y; Liu H; Chen J
J Comput Assist Tomogr; 2023 Jan-Feb 01; 47(1):129-135. PubMed ID: 36194851
[TBL] [Abstract][Full Text] [Related]
33. Epileptic seizure detection in EEG signal using machine learning techniques.
Jaiswal AK; Banka H
Australas Phys Eng Sci Med; 2018 Mar; 41(1):81-94. PubMed ID: 29264792
[TBL] [Abstract][Full Text] [Related]
34. Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records.
Sahoo SS; Kobow K; Zhang J; Buchhalter J; Dayyani M; Upadhyaya DP; Prantzalos K; Bhattacharjee M; Blumcke I; Wiebe S; Lhatoo SD
Sci Rep; 2022 Nov; 12(1):19430. PubMed ID: 36371527
[TBL] [Abstract][Full Text] [Related]
35. Surgery guided with intraoperative electrocorticography in patients with low-grade glioma and refractory seizures.
Yao PS; Zheng SF; Wang F; Kang DZ; Lin YX
J Neurosurg; 2018 Mar; 128(3):840-845. PubMed ID: 28387627
[TBL] [Abstract][Full Text] [Related]
36. Machine learning model to predict the efficacy of antiseizure medications in patients with familial genetic generalized epilepsy.
Wu J; Wang Y; Xiang L; Gu Y; Yan Y; Li L; Tian X; Jing W; Wang X
Epilepsy Res; 2022 Mar; 181():106888. PubMed ID: 35176621
[TBL] [Abstract][Full Text] [Related]
37. [Research progress of epileptic seizure predictions based on electroencephalogram signals].
Han C; Peng F; Chen C; Li W; Zhang X; Wang X; Zhou W
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2021 Dec; 38(6):1193-1202. PubMed ID: 34970903
[TBL] [Abstract][Full Text] [Related]
38. Semi-supervised automatic seizure detection using personalized anomaly detecting variational autoencoder with behind-the-ear EEG.
You S; Hwan Cho B; Shon YM; Seo DW; Kim IY
Comput Methods Programs Biomed; 2022 Jan; 213():106542. PubMed ID: 34839270
[TBL] [Abstract][Full Text] [Related]
39. Machine learning models to predict electroencephalographic seizures in critically ill children.
Hu J; Fung FW; Jacobwitz M; Parikh DS; Vala L; Donnelly M; Topjian AA; Abend NS; Xiao R
Seizure; 2021 Apr; 87():61-68. PubMed ID: 33714840
[TBL] [Abstract][Full Text] [Related]
40. A deep learning based ensemble learning method for epileptic seizure prediction.
Muhammad Usman S; Khalid S; Bashir S
Comput Biol Med; 2021 Sep; 136():104710. PubMed ID: 34364257
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]