Huiyuan Zhou
Biomedical Engineering · 2015
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 13 citations into it
- Mechanics of Materials — 6 citations into it
- Ocean Engineering — 6 citations into it
Whom Huiyuan Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Elise C. Fear
- Xu Li
- L. Fass
- Natalia K. Nikolova
- Susan C. Hagness
- Jeff M. Sill
- Essex J. Bond
- Hooi Been Lim
- M. Klemm
Papers from Huiyuan Zhou's perspective
Ordered by how strongly the researchers Huiyuan Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Confocal microwave imaging for breast cancer detection: localization of tumors in three dimensions (IEEE Transactions on Biomedical Engineering)
- Microwave imaging via space-time beamforming for early detection of breast cancer (IEEE International Conference on Acoustics, Speech, and Signal Processing)
- Tissue Sensing Adaptive Radar for Breast Cancer Detection—Experimental Investigation of Simple Tumor Models (IEEE transactions on microwave theory and techniques)
- 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)
- A clinical prototype for active microwave imaging of the breast
- A confocal microwave imaging algorithm for breast cancer detection (IEEE Microwave and Wireless Components Letters)
- Enhancing breast tumor detection with near-field imaging
- Radar-Based Breast Cancer Detection Using a Hemispherical Antenna Array—Experimental Results (IEEE Transactions on Antennas and Propagation)
- Imaging and cancer: A review (Molecular Oncology)
- Microwave Breast Imaging With a Monostatic Radar-Based System: A Study of Application to Patients (IEEE transactions on microwave theory and techniques)
Their papers
- On the Opportunities and Challenges in Microwave Medical Sensing and Imaging (2015) — 357 citations