Deep, Self-Supervised Learning For Patient-Specific Anomaly Detection in Stereoelectroencephalography

被引：0
|
作者：
Martini, Michael
Costa, Anthony
Rajan, Kanaka
Panov, Fedor
Oermann, Eric
机构：
来源：
JOURNAL OF NEUROSURGERY | 2020年 / 132卷 / 04期
关键词：
D O I：
暂无
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
250
引用
收藏
页码：37 / 37
页数：1
相关论文
共 50 条
  • [1] Self-Supervised Deep Anomaly Detection of Epileptic Seizures with Paired Stereoelectroencephalography and Video Recording
    Martini, Michael L.
    Sun, Claire
    Costa, Anthony B.
    Rajan, Kanaka
    Zhao, Shan
    Panov, Fedor
    Ghatan, Saadi
    Oermann, Eric K.
    [J]. NEUROSURGERY, 2020, 67 : 225 - 225
  • [2] Deep anomaly detection with self-supervised learning and adversarial training
    Zhang, Xianchao
    Mu, Jie
    Zhang, Xiaotong
    Liu, Han
    Zong, Linlin
    Li, Yuangang
    [J]. PATTERN RECOGNITION, 2022, 121
  • [3] Self-Supervised Deep Learning Framework for Anomaly Detection in Traffic Data
    Morris, Clint
    Yang, Jidong J.
    Chorzepa, Mi Geum
    Kim, S. Sonny
    Durham, Stephan A.
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2022, 148 (05)
  • [4] Self-supervised patient-specific features learning for OCT image classification
    Fang, Leyuan
    Guo, Jiahuan
    He, Xingxin
    Li, Muxing
    [J]. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2022, 60 (10) : 2851 - 2863
  • [5] Self-supervised patient-specific features learning for OCT image classification
    Leyuan Fang
    Jiahuan Guo
    Xingxin He
    Muxing Li
    [J]. Medical & Biological Engineering & Computing, 2022, 60 : 2851 - 2863
  • [6] Anomaly Detection on Electroencephalography with Self-supervised Learning
    Xu, Junjie
    Zheng, Yaojia
    Mao, Yifan
    Wang, Ruixuan
    Zheng, Wei-Shi
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, 2020, : 363 - 368
  • [7] Self-supervised Learning for Anomaly Detection in Fundus Image
    Ahn, Sangil
    Shin, Jitae
    [J]. OPHTHALMIC MEDICAL IMAGE ANALYSIS, OMIA 2022, 2022, 13576 : 143 - 151
  • [8] CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
    Li, Chun-Liang
    Sohn, Kihyuk
    Yoon, Jinsung
    Pfister, Tomas
    [J]. 2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021, 2021, : 9659 - 9669
  • [9] JOINT ANOMALY DETECTION AND INPAINTING FOR MICROSCOPY IMAGES VIA DEEP SELF-SUPERVISED LEARNING
    Huang, Ling
    Cheng, Deruo
    Yang, Xulei
    Lin, Tong
    Shi, Yiqiong
    Yang, Kaiyi
    Gwee, Bah Hwee
    Wen, Bihan
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2021, : 3497 - 3501
  • [10] Multitask-Guided Self-Supervised Tabular Learning for Patient-Specific Survival Prediction
    Wu, You
    Bazgir, Omid
    Lee, Yongju
    Biancalani, Tommaso
    Lu, James
    Hajiramezanali, Ehsan
    [J]. MACHINE LEARNING IN COMPUTATIONAL BIOLOGY, VOL 240, 2023, 240
12345