Hiroshi Fujita
Radiology, Nuclear Medicine and Imaging · IEEE Transactions on Medical Imaging · 2000–2020
A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 42 citations into it; #1,607 of 3,265 by trust here, #695 by citations
- Artificial Intelligence — 25 citations into it; #26,347 of 35,345 by trust here, #13,353 by citations
- Pulmonary and Respiratory Medicine — 18 citations into it; #252 of 770 by trust here, #225 by citations
Whom Hiroshi Fujita trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Hiroshi Fujita overall
Papers from Hiroshi Fujita's perspective
Ordered by how strongly the researchers Hiroshi Fujita trusts endorse each paper. Same corpus, a different order for every researcher.
- A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Automatic detection of red lesions in digital color fundus photographs (IEEE Transactions on Medical Imaging)
- Comparative study of retinal vessel segmentation methods on a new publicly available database (SPIE Medical Imaging)
- Automated microaneurysm detection using local contrast normalization and local vessel detection (IEEE Transactions on Medical Imaging)
- Automatic detection of microaneurysms in color fundus images (Medical Image Anal.)
- Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs (IEEE Transactions on Medical Imaging)
- ImageNet classification with deep convolutional neural networks
- Medical Image Computing and Computer-Assisted Intervention
- Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans. (Medical Physics (Lancaster))
Their papers
- Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary nodules. (2000) — 1,094 citations
- AI-based computer-aided diagnosis (AI-CAD): the latest review to read first (2020) — 250 citations
- Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study (2010) — 316 citations
- Retinopathy Online Challenge: Automatic Detection of Microaneurysms in Digital Color Fundus Photographs (2010) — 572 citations
- Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique (2001) — 525 citations