Yohei Sugawara
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 8 citations into it
Whom Yohei Sugawara trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ning Qian (in Optimization & Training)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
Papers from Yohei Sugawara's perspective
Ordered by how strongly the researchers Yohei Sugawara trusts endorse each paper. Same corpus, a different order for every researcher.
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- SSD: Single Shot MultiBox Detector
- Chainer : a Next-Generation Open Source Framework for Deep Learning
- On the momentum term in gradient descent learning algorithms
- Dermatologist-level classification of skin cancer with deep neural networks
- Melanoma detection by analysis of clinical images using convolutional neural network
- Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists (Annals of Oncology)
- Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer
- Melanoma (Journal of general internal medicine)