B. Hoop
Medical Image Anal. · 2009–2010
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom B. Hoop trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts B. Hoop overall
Papers from B. Hoop's perspective
Ordered by how strongly the researchers B. Hoop trusts endorse each paper. Same corpus, a different order for every researcher.
- On Combining Classifiers
- Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique (IEEE Transactions on Medical Imaging)
- Nearest neighbor pattern classification
- Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images (IEEE Transactions on Medical Imaging)
- Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program. (Radiology)
- Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images (IEEE Transactions on Medical Imaging)
- Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans. (Medical Physics (Lancaster))
- Automated detection of lung nodules in CT scans: preliminary results. (Medical Physics (Lancaster))
- Medical Image Computing and Computer-Assisted Intervention
- Lung image database consortium: developing a resource for the medical imaging research community. (Radiology)
Their papers
- Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study (2010) — 316 citations
- A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classification (2009) — 342 citations