咨询与建议

限定检索结果

文献类型

  • 92 篇 会议
  • 4 篇 期刊文献
  • 1 册 图书

馆藏范围

  • 97 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 48 篇 工学
    • 46 篇 计算机科学与技术...
    • 18 篇 生物医学工程(可授...
    • 17 篇 软件工程
    • 11 篇 光学工程
    • 8 篇 信息与通信工程
    • 7 篇 仪器科学与技术
    • 7 篇 电气工程
    • 6 篇 控制科学与工程
    • 5 篇 电子科学与技术(可...
    • 1 篇 机械工程
    • 1 篇 生物工程
  • 43 篇 医学
    • 36 篇 医学技术(可授医学...
    • 19 篇 临床医学
    • 15 篇 基础医学(可授医学...
    • 10 篇 中西医结合
    • 7 篇 药学(可授医学、理...
    • 1 篇 特种医学
  • 12 篇 管理学
    • 8 篇 图书情报与档案管...
    • 7 篇 管理科学与工程(可...
  • 11 篇 理学
    • 8 篇 数学
    • 6 篇 统计学(可授理学、...
    • 5 篇 物理学
    • 1 篇 生物学
    • 1 篇 系统科学
  • 6 篇 艺术学
    • 6 篇 设计学(可授艺术学...
  • 1 篇 教育学
    • 1 篇 心理学(可授教育学...

主题

  • 41 篇 decoding
  • 17 篇 accuracy
  • 16 篇 neuroimaging
  • 15 篇 brain
  • 12 篇 pattern recognit...
  • 12 篇 brain decoding
  • 11 篇 support vector m...
  • 10 篇 correlation
  • 9 篇 fmri
  • 9 篇 visualization
  • 8 篇 brain models
  • 7 篇 vectors
  • 7 篇 encoding
  • 7 篇 data models
  • 6 篇 electroencephalo...
  • 6 篇 training
  • 5 篇 brain modeling
  • 5 篇 noise
  • 5 篇 computational mo...
  • 5 篇 feature extracti...

机构

  • 5 篇 bruno kessler fd...
  • 3 篇 universita degli...
  • 2 篇 fdn bruno kessle...
  • 2 篇 fondazione bruno...
  • 2 篇 university of ud...
  • 2 篇 fondazione bruno...
  • 2 篇 radboud univ nij...
  • 2 篇 bernstein center...
  • 2 篇 centro interdipa...
  • 2 篇 parietal team in...
  • 2 篇 department of co...
  • 2 篇 korea univ dept ...
  • 2 篇 laboratory of ne...
  • 2 篇 medical image pr...
  • 2 篇 cyclotron resear...
  • 2 篇 atr computationa...
  • 2 篇 department of ph...
  • 2 篇 inria parietal g...
  • 2 篇 neuroinf. lab. b...
  • 2 篇 university of ve...

作者

  • 8 篇 olivetti emanuel...
  • 8 篇 avesani paolo
  • 7 篇 thirion bertrand
  • 7 篇 bertrand thirion
  • 6 篇 paolo avesani
  • 6 篇 emanuele olivett...
  • 5 篇 alexandre gramfo...
  • 5 篇 gramfort alexand...
  • 4 篇 gaël varoquaux
  • 4 篇 pedregosa fabian
  • 4 篇 kia seyed mostaf...
  • 4 篇 varoquaux gael
  • 3 篇 abugharbieh rafe...
  • 3 篇 fabian pedregosa
  • 3 篇 ng bernard
  • 2 篇 christophe palli...
  • 2 篇 seyed mostafa ki...
  • 2 篇 walther dirk b.
  • 2 篇 richiardi jonas
  • 2 篇 heskes tom

语言

  • 95 篇 英文
  • 2 篇 其他
  • 1 篇 中文
检索条件"任意字段=Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging"
97 条 记 录,以下是1-10 订阅
排序:
4th International workshop on Human brain and Artificial Intelligence, HBAI 2024
4th International Workshop on Human Brain and Artificial Int...
收藏 引用
4th International workshop on Human brain and Artificial Intelligence, HBAI 2024
The proceedings contain 28 papers. The special focus in this conference is on Human brain and Artificial Intelligence. The topics include: Uncovering Cognitive Taskonomy Through Transfer Learning in Masked Autoen...
来源: 评论
A Deep Learning based Model for decoding Motion Intent of Traumatic brain Injured Patients' using HD-sEMG Recordings
A Deep Learning based Model for Decoding Motion Intent of Tr...
收藏 引用
IEEE International workshop on Metrology for Industry 4.0 & IoT (IEEE MetroInd4.0 and IoT)
作者: Asogbon, Mojisola Grace Samuel, Oluwarotimi Williams Nsugbe, Ejay Jarrah, Yazan Ali Obe, Olumide Olayinka Geng, Yanjuan Li, Guanglin Univ Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China Fed Univ Technol Akure Dept Comp Sci Akure Nigeria
Traumatic brain injury (TBI) post-stroke survivors mostly face the challenges of performing key daily life activities. Recent studies have attempted to develop intelligent rehabilitation robotic systems to engage pati... 详细信息
来源: 评论
Current Progress and challenges in Large-scale 3D Mitochondria Instance Segmentation
TechRxiv
收藏 引用
TechRxiv 2023年
作者: Franco-Barranco, Daniel Lin, Zudi Jang, Won-Dong Wang, Xueying Shen, Qijia Yin, Wenjie Fan, Yutian Li, Mingxing Chen, Chang Xiong, Zhiwei Xin, Rui Liu, Hao Chen, Huai Li, Zhili Zhao, Jie Chen, Xuejin Pape, Constantin Conrad, Ryan De Folter, Jozefus Nightingale, Luke Jones, Martin L. Liu, Yanling Ziaei, Dorsa Huschauer, Stephan Arganda-Carreras, Ignacio Pfister, Hanspeter Wei, Donglai The Department of Computer Science and Artificial Intelligence University of the Basque Country Donostia-San Sebastian Spain San Sebastian Spain Ikerbasque Basque Foundation for Science Bilbao Spain Biofisika Institute CSIC UPV/EHU Bilbao Spain Harvard University All-ston MA United States The Department of Molecular and Cellular Biology Harvard University CambridgeMA United States The Wellcome Centre for Integrative Neuroimaging FMRIB Nuffield Department of Clinical Neurosciences University of Oxford Oxford United Kingdom University of Science and Technology of China Anhui China The Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University Shanghai China The National Engineering Laboratory for Brain-inspired Intelligence Technology and Application University of Science and Technology of China Anhui China The Georg-August University Goettingen Germany The Center for Molecular Microscopy Center for Cancer Research National Cancer Institute National Institutes of Health Bethesda United States The Cancer Research Technology Program Frederick National Laboratory for Cancer Research Frederick United States The Francis Crick Institute London United Kingdom The Advanced Biomedical Computational Science Group Frederick National Laboratory for Cancer Research FrederickMD United States The Computer Science Department Boston College Chestnut Hill MA United States
In this paper, we present the results of the MitoEM challenge on mitochondria 3D instance segmentation from electron microscopy images, organized in conjunction with the IEEE-ISBI 2021 conference. Our benchmark datase... 详细信息
来源: 评论
2018 International workshop on pattern recognition in neuroimaging, PRNI 2018
2018 International Workshop on Pattern Recognition in Neuroi...
收藏 引用
2018 International workshop on pattern recognition in neuroimaging, PRNI 2018
The proceedings contain 20 papers. The topics discussed include: quantifying cognitive aging and performance with at-home gamified mobile EEG;boosting transfer learning improves performance of driving drowsiness class...
来源: 评论
Modeling the Effect of Stimulus Perturbations on Error Correlations between brain and Behavior
Modeling the Effect of Stimulus Perturbations on Error Corre...
收藏 引用
International workshop on pattern recognition in neuroimaging (PRNI)
作者: Choo, Heeyoung Walther, Dirk B. Univ Illinois Beckman Inst Urbana IL 61801 USA Univ Illinois Dept Psychol Urbana IL 61801 USA Univ Toronto Dept Psychol Toronto ON M5S 3G3 Canada
Over the last decade, machine learning algorithms have proven to be useful tools for exploring neural representations of percepts and concepts in the brain. An important but often neglected next step is it to relate n... 详细信息
来源: 评论
Manifolds of tool-graspability in the human brain
Manifolds of tool-graspability in the human brain
收藏 引用
International workshop on pattern recognition in neuroimaging (PRNI)
作者: Wang, Xixi Jew, Carol A. Lin, Feng Raizada, Rajeev D. S. Univ Rochester Dept Biomed Engn Rochester NY 14627 USA Univ Rochester Dept Brain & Cognit Sci Rochester NY 14627 USA Univ Rochester Med Ctr Sch Nursing Rochester NY 14627 USA
Neural representations for object recognition are difficult to construct because vision operates in high-dimensional space. This study aims to develop low-dimensional neural representations ("manifolds") tha... 详细信息
来源: 评论
Social-sparsity brain decoders: faster spatial sparsity  6
Social-sparsity brain decoders: faster spatial sparsity
收藏 引用
6th International workshop on pattern recognition in neuroimaging (PRNI)
作者: Varoquaux, Gael Kowalski, Matthieu Thirion, Bertrand CEA Saclay Neurospin INRIA Parietal Bat 145 F-91191 Gif Sur Yvette France Univ Paris 11 L2S CNRS Cent Supelec Paris France
Spatially-sparse predictors are good models for brain decoding: they give accurate predictions and their weight maps are interpretable as they focus on a small number of regions. However, the state of the art, based o... 详细信息
来源: 评论
Fast brain decoding with random sampling and random projections  6
Fast brain decoding with random sampling and random projecti...
收藏 引用
6th International workshop on pattern recognition in neuroimaging (PRNI)
作者: Hoyos-Idrobo, Andres Varoquaux, Gael Thirion, Bertrand Univ Paris Saclay CEA INRIA Parietal Team F-91191 Gif Sur Yvette France
Machine learning from brain images is a central tool for image-based diagnosis and diseases characterization. Predicting behavior from functional imaging, brain decoding, analyzes brain activity in terms of the behavi... 详细信息
来源: 评论
Towards robust machine learning methods for the analysis of brain data
Towards robust machine learning methods for the analysis of ...
收藏 引用
International Winter workshop on brain-Computer Interface (BCI)
作者: K.-R Müller Machine Learning Group TU Berlin Berlin Germany Dept. of Brain and Cognitive Engineering Korea University Seoul Korea Max Planck Institute for Informatics Saarbrücken Germany
In this short abstract I will discuss recent directions that machine learning and BCI efforts of the BBCI team and coworkers have taken. It is the nature of this short text that many pointers to research are given all... 详细信息
来源: 评论
Proceedings - workshop on brain decoding: pattern recognition challenges in neuroimaging, WBD 2010 - In Conjunction with the International Conference on pattern recognition, ICPR 2010
Proceedings - Workshop on Brain Decoding: Pattern Recognitio...
收藏 引用
workshop on brain decoding: pattern recognition challenges in neuroimaging, WBD 2010 - In Conjunction with the International Conference on pattern recognition, ICPR 2010
The proceedings contain 11 papers. The topics discussed include: SABIN: a resampling-based learning algorithm for idle state identification in asynchronous brain-computer interfaces;two-layer hidden markov models for ...
来源: 评论