Natalia K. Nikolova

Biomedical Engineering · 2011

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Natalia K. Nikolova trusts overall

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

  1. Elise C. Fear
  2. Jeff M. Sill
  3. M. Klemm
  4. Stephen A. Feig
  5. Susan C. Hagness
  6. Xu Li
  7. I. Craddock
  8. Mariya Lazebnik
  9. J. Leendertz
  10. Matteo Pastorino

Who trusts Natalia K. Nikolova overall

  1. Rohit Chandra
  2. Huiyuan Zhou
  3. Ilangko Balasingham
  4. Ram M. Narayanan

Papers from Natalia K. Nikolova's perspective

Ordered by how strongly the researchers Natalia K. Nikolova trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A large-scale study of the ultrawideband microwave dielectric properties of normal breast tissue obtained from reduction surgeries (Physics in Medicine and Biology)
  2. Confocal microwave imaging for breast cancer detection: localization of tumors in three dimensions (IEEE Transactions on Biomedical Engineering)
  3. Tissue Sensing Adaptive Radar for Breast Cancer Detection—Experimental Investigation of Simple Tumor Models (IEEE transactions on microwave theory and techniques)
  4. A large-scale study of the ultrawideband microwave dielectric properties of normal, benign and malignant breast tissues obtained from cancer surgeries (Physics in Medicine and Biology)
  5. Microwave imaging via space-time beamforming for early detection of breast cancer (IEEE International Conference on Acoustics, Speech, and Signal Processing)
  6. A clinical prototype for active microwave imaging of the breast
  7. Numerical and experimental investigation of an ultrawideband ridged pyramidal horn antenna with curved launching plane for pulse radiation (IEEE Antennas and Wireless Propagation Letters)
  8. The Essential Physics of Medical Imaging
  9. IARC Handbooks of Cancer prevention (Lyon Pharmaceutique)
  10. Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers. (Journal of the National Cancer Institute)

Their papers