What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Optics
- Radar
Microwave imaging, Breast cancer, Microwave, Optics and Antenna are her primary areas of study.
Her Microwave imaging study integrates concerns from other disciplines, such as Confocal, Medical imaging, Radar, Clutter and Breast disease.
Her Breast cancer research is multidisciplinary, incorporating perspectives in Medical physics and Biomedical engineering.
Her Microwave study combines topics in areas such as Imaging phantom and Tomography.
Elise C. Fear has researched Optics in several fields, including Vivaldi antenna and Antenna tuner, Coaxial antenna, Antenna factor.
Her Antenna research is multidisciplinary, incorporating elements of Aperture and Dielectric.
Her most cited work include:
- Confocal microwave imaging for breast cancer detection: localization of tumors in three dimensions (704 citations)
- Enhancing breast tumor detection with near-field imaging (504 citations)
- Microwaves for breast cancer detection (319 citations)
What are the main themes of her work throughout her whole career to date?
Her scientific interests lie mostly in Microwave imaging, Microwave, Radar, Optics and Artificial intelligence.
Her work carried out in the field of Microwave imaging brings together such families of science as Medical imaging, Breast imaging, Radar imaging, Breast cancer and Biomedical engineering.
She interconnects Medical physics, Radiology and Image formation in the investigation of issues within Breast cancer.
Elise C. Fear usually deals with Microwave and limits it to topics linked to Acoustics and Transmission and Attenuation.
Elise C. Fear combines subjects such as Vivaldi antenna, Dielectric, Antenna factor, Antenna aperture and Antenna with her study of Optics.
Her Artificial intelligence study combines topics from a wide range of disciplines, such as Computer vision and Pattern recognition.
She most often published in these fields:
- Microwave imaging (54.60%)
- Microwave (30.46%)
- Radar (28.16%)
What were the highlights of her more recent work (between 2015-2021)?
- Microwave imaging (54.60%)
- Microwave (30.46%)
- Artificial intelligence (21.84%)
In recent papers she was focusing on the following fields of study:
Elise C. Fear mainly investigates Microwave imaging, Microwave, Artificial intelligence, Computer vision and Permittivity.
Specifically, her work in Microwave imaging is concerned with the study of Microwave breast imaging.
The study incorporates disciplines such as Acoustics, Ultrasound, Dielectric, Reflection and Biomedical engineering in addition to Microwave.
Her studies deal with areas such as Breast cancer and Pattern recognition as well as Artificial intelligence.
Her work on Breast tissue as part of general Breast cancer study is frequently linked to Healthy volunteers, bridging the gap between disciplines.
Her Permittivity course of study focuses on Optics and Generator and Pulse.
Between 2015 and 2021, her most popular works were:
- System for Bulk Dielectric Permittivity Estimation of Breast Tissues at Microwave Frequencies (27 citations)
- Evaluation of Image Reconstruction Algorithms for Confocal Microwave Imaging: Application to Patient Data (23 citations)
- Integrating prior information into microwave tomography Part 1: Impact of detail on image quality (23 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Optics
- Computer vision
Elise C. Fear mainly focuses on Microwave imaging, Artificial intelligence, Microwave, Computer vision and Permittivity.
Her Microwave imaging research includes themes of Algorithm, Iterative reconstruction and Cluster analysis.
Her Artificial intelligence research is multidisciplinary, incorporating perspectives in Radar and Breast cancer.
Her Breast cancer study incorporates themes from Confocal, Nuclear magnetic resonance and Signal processing.
Elise C. Fear has included themes like Acoustics, Ultrasound, Time domain, Dielectric and Reflection in her Microwave study.
Her study in Computer vision is interdisciplinary in nature, drawing from both Breast imaging and Radar imaging.
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