Sungho Tak
Radiology, Nuclear Medicine and Imaging · 2008–2018
A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 49 citations into it
- Biomedical Engineering — 31 citations into it
- Cognitive Neuroscience — 20 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Artificial Intelligence — 10 citations into it
- Cardiology and Cardiovascular Medicine — 7 citations into it
- Applied Mathematics — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Sungho Tak trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David A. Boas
- Robert J. Adler
- Theodore J. Huppert
- Christian F. Beckmann
- Jonathan E. Taylor
- Nikos K. Logothetis
- Marco Ferrari
- S. G. Diamond
- Joseph P. Culver
- Stephen M. Smith
Who trusts Sungho Tak overall
Papers from Sungho Tak's perspective
Ordered by how strongly the researchers Sungho Tak trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
Their papers
- NIRS-SPM: statistical parametric mapping for near infrared spectroscopy (2008) — 560 citations
- Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks (2018) — 321 citations
- Statistical analysis of fNIRS data: A comprehensive review (2014) — 460 citations