Rangaraj Mandayam Rangayyan

Artificial Intelligence · 2000–2009

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #23,441 of 35,345 by trust here, #20,836 by citations
• Computer Vision and Pattern Recognition — 8 citations into it; #14,473 of 21,575 by trust here, #13,815 by citations

Whom Rangaraj Mandayam Rangayyan trusts overall

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

1. Naga R. Mudigonda
2. William T. Freeman
3. Issam El-Naqa
4. Edward H. Adelson
5. Heng-Da Cheng
6. J. E. Leo Desautels
7. Yongyi Yang
8. Mehul P. Sampat

Who trusts Rangaraj Mandayam Rangayyan overall

1. Andreas Haag
2. Ashwin Belle
3. Silke Goronzy
4. Arnau Oliver
5. Udit Satija
6. Peter Schaich
7. Jinshan Tang
8. Mark A. Kon
9. Shijun Wang
10. Jason B. Williams

Papers from Rangaraj Mandayam Rangayyan's perspective

Ordered by how strongly the researchers Rangaraj Mandayam Rangayyan trusts endorse each paper. Same corpus, a different order for every researcher.

1. A personal communication
2. A support vector machine approach for detection of microcalcifications (IEEE Transactions on Medical Imaging)
3. Gradient and texture analysis for the classification of mammographic masses (IEEE Transactions on Medical Imaging)
4. Approaches for automated detection and classification of masses in mammograms (Pattern Recognition)
5. Global trends in breast cancer incidence and mortality 1973-1997. (International Journal of Epidemiology)
6. The Design and Use of Steerable Filters
7. Computer-Aided Detection and Diagnosis in Mammography
8. Computer-aided detection and classification of microcalcifications in mammograms: a survey (Pattern Recognition)
9. Screening mammography with computer-aided detection: prospective study of 12,860 patients in a community breast center. (Radiology)
10. Adaptive histogram equalization and its variations

Their papers

• Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances (2009) — 641 citations
• A review of computer-aided diagnosis of breast cancer: Toward the detection of subtle signs (2007) — 389 citations
• Biomedical Signal Analysis: A Case-Study Approach (2001) — 786 citations
• Gradient and texture analysis for the classification of mammographic masses (2000) — 302 citations