What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Internal medicine
- Surgery
His primary scientific interests are in Thermography, Artificial intelligence, Breast cancer, Pattern recognition and Biomedical engineering.
His studies deal with areas such as Image segmentation, Surgery, Breast thermography, Mammography and Early detection as well as Thermography.
Much of his study explores Artificial intelligence relationship to Computer vision.
His Breast cancer study combines topics in areas such as Image processing, Texture, Artificial neural network and Discrete wavelet transform.
His Pattern recognition study incorporates themes from Cross-validation, Ictal, Electroencephalography, Decision tree learning and Signal processing.
His Biomedical engineering research is multidisciplinary, incorporating elements of Ocular surface, 3D reconstruction, Optics, 3D printing and Coronary arteries.
His most cited work include:
- Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats (196 citations)
- Application of empirical mode decomposition (emd) for automated detection of epilepsy using EEG signals. (150 citations)
- Analysis of IR thermal imager for mass blind fever screening. (130 citations)
What are the main themes of his work throughout his whole career to date?
Eddie Y. K. Ng mainly investigates Artificial intelligence, Mechanics, Thermography, Pattern recognition and Internal medicine.
His Artificial intelligence research integrates issues from Breast cancer and Computer vision.
The concepts of his Breast cancer study are interwoven with issues in Image processing and Medical physics.
Many of his studies on Mechanics involve topics that are commonly interrelated, such as Gas compressor.
Eddie Y. K. Ng has included themes like Mammography and Biomedical engineering in his Thermography study.
Eddie Y. K. Ng has researched Heat transfer in several fields, including Mechanical engineering and Microchannel.
He most often published in these fields:
- Artificial intelligence (21.54%)
- Mechanics (19.69%)
- Thermography (13.85%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (21.54%)
- Special section (6.46%)
- Pattern recognition (11.38%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Special section, Pattern recognition, Thermography and Stenosis are his primary areas of study.
In the subject of general Artificial intelligence, his work in Segmentation is often linked to Estimation, thereby combining diverse domains of study.
His Pattern recognition research is multidisciplinary, incorporating perspectives in Ambulatory blood pressure, Masked Hypertension and Blood pressure.
In most of his Thermography studies, his work intersects topics such as Biomedical engineering.
In his study, Image contrast, Iterative reconstruction, Infrared and Pixel is inextricably linked to High contrast, which falls within the broad field of Biomedical engineering.
The various areas that Eddie Y. K. Ng examines in his Stenosis study include Thermal lag, Blood flow, Carotid arteries, Ultrasound and Stroke.
Between 2018 and 2021, his most popular works were:
- Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography (66 citations)
- Imaging modalities to diagnose carotid artery stenosis: progress and prospect (24 citations)
- A New Pulse Coupled Neural Network (PCNN) for Brain Medical Image Fusion Empowered by Shuffled Frog Leaping Algorithm. (18 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Artificial intelligence
- Thermodynamics
The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Thermography, Stenosis and Biomedical engineering.
His biological study spans a wide range of topics, including Spatial frequency and Pulse.
His Pattern recognition research is multidisciplinary, relying on both Image resolution, QRS complex, Shuffled frog leaping algorithm and Heart rate.
In his study, Segmentation is strongly linked to Image, which falls under the umbrella field of Thermography.
His research in Stenosis intersects with topics in Stroke, Hemodynamics, Diastole and Ultrasound.
His research investigates the connection with Biomedical engineering and areas like Vascular Stenosis which intersect with concerns in Optical coherence tomography.
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