Bita Shadgar
IEEE Transactions on Information Technology in Biomedicine · 2009
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Whom Bita Shadgar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Bita Shadgar overall
Papers from Bita Shadgar's perspective
Ordered by how strongly the researchers Bita Shadgar trusts endorse each paper. Same corpus, a different order for every researcher.
- A contribution of image processing to the diagnosis of diabetic retinopathy-detection of exudates in color fundus images of the human retina (IEEE Transactions on Medical Imaging)
- Neural Networks for Pattern Recognition
- Object detection using gabor filters
- Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool.
- Statistical Pattern Recognition
- Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis. (Investigative Ophthalmology and Visual Science)
- Density Estimation for Statistics and Data Analysis
- Automatic detection of red lesions in digital color fundus photographs (IEEE Transactions on Medical Imaging)
- Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation (IEEE Transactions on Image Processing)
- Ridge-based vessel segmentation in color images of the retina (IEEE Transactions on Medical Imaging)