Dara D. Koozekanani

Radiology, Nuclear Medicine and Imaging · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 21 citations into it; #2,232 of 3,265 by trust here, #2,462 by citations
• Ophthalmology — 19 citations into it; #173 of 222 by trust here, #125 by citations
• Computer Vision and Pattern Recognition — 15 citations into it; #17,845 of 21,575 by trust here, #19,766 by citations

Whom Dara D. Koozekanani trusts overall

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

1. Chih-Jen Lin
2. Meindert Niemeijer
3. Joes Staal
4. Ana Maria Mendonça
5. Elisa Ricci
6. Mohammad Saleh Miri
7. Bashir Al-Diri
8. Hanchuan Peng
9. Muhammad Moazam Fraz
10. Thomas Walter

Who trusts Dara D. Koozekanani overall

1. Paweł Liskowski
2. Xiaomeng Li

Papers from Dara D. Koozekanani's perspective

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

1. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response (IEEE Transactions on Medical Imaging)
2. Automatic detection of red lesions in digital color fundus photographs (IEEE Transactions on Medical Imaging)
3. Comparative study of retinal vessel segmentation methods on a new publicly available database (SPIE Medical Imaging)
4. Ridge-based vessel segmentation in color images of the retina (IEEE Transactions on Medical Imaging)
5. 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)
6. Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction (IEEE Transactions on Medical Imaging)
7. Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs (IEEE Transactions on Medical Imaging)
8. Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification (IEEE Transactions on Medical Imaging)
9. LIBSVM: A library for support vector machines
10. Blood vessel segmentation methodologies in retinal images - A survey (Comput. Methods Programs Biomed.)

Their papers

• Blood Vessel Segmentation of Fundus Images by Major Vessel Extraction and Subimage Classification (2015) — 332 citations
• DREAM: Diabetic Retinopathy Analysis Using Machine Learning (2014) — 373 citations