Kiyoshi Namba

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it

Whom Kiyoshi Namba trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Kiyoshi Namba's perspective

Ordered by how strongly the researchers Kiyoshi Namba trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet Large Scale Visual Recognition Challenge
3. Going deeper with convolutions
4. Deep Learning
5. A Threshold Selection Method from Gray-Level Histograms
6. CA : A Cancer Journal for Clinicians
7. Screening with magnetic resonance imaging and mammography of a UK population at high familial risk of breast cancer: a prospective multicentre cohort study (MARIBS). (The Lancet)
8. Deep learning for magnification independent breast cancer histopathology image classification (International Conference on Pattern Recognition)
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian Optimization (2020) — 31 citations