Keshab K. Parhi

Radiology, Nuclear Medicine and Imaging · 2004–2015

A researcher in the Science corpus: 4 papers; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Radiology, Nuclear Medicine and Imaging — 21 citations into it; #2,231 of 3,265 by trust here, #2,462 by citations
• Computer Vision and Pattern Recognition — 19 citations into it; #17,797 of 21,575 by trust here, #19,310 by citations
• Ophthalmology — 19 citations into it; #172 of 222 by trust here, #125 by citations
• Artificial Intelligence — 8 citations into it

Whom Keshab K. Parhi trusts overall

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

1. Chih-Jen Lin
2. Vladimir Naumovich Vapni
3. Akashi Satoh
4. Robert A. Lordo
5. Dan Simon
6. Meindert Niemeijer
7. Joes Staal
8. Ana Maria Mendonça
9. Elisa Ricci
10. Mohammad Saleh Miri

Who trusts Keshab K. Parhi overall

1. Paweł Liskowski

Papers from Keshab K. Parhi's perspective

Ordered by how strongly the researchers Keshab K. Parhi 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. The Nature of Statistical Learning Theory
6. 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)
7. Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction (IEEE Transactions on Medical Imaging)
8. Optimal Wavelet Transform for the Detection of Microaneurysms in Retina Photographs (IEEE Transactions on Medical Imaging)
9. LIBSVM: A library for support vector machines
10. Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification (IEEE Transactions on Medical Imaging)

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
• Seizure prediction with spectral power of EEG using cost‐sensitive support vector machines (2011) — 380 citations
• High-speed VLSI architectures for the AES algorithm (2004) — 518 citations