What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Surgery
- Computer vision
Michael I. Miga mostly deals with Artificial intelligence, Computer vision, Finite element method, Image registration and Image-guided surgery.
His Artificial intelligence study combines topics in areas such as Imaging phantom, Tomography and Elastography.
His Computer vision research is multidisciplinary, incorporating perspectives in Surface and Liver surgery.
His Finite element method study combines topics from a wide range of disciplines, such as Image processing, Magnetic resonance imaging and Biomedical engineering.
His studies deal with areas such as Medical imaging, Tracking, Scanner, Deformation and Neurosurgery as well as Image registration.
His Image-guided surgery research includes elements of Iterative closest point, Point cloud, Position, Laser light and Point.
His most cited work include:
- Intraoperative brain shift and deformation: a quantitative analysis of cortical displacement in 28 cases. (432 citations)
- REGENERATIVE EFFECTS OF TRANSPLANTED MESENCHYMAL STEM CELLS IN FRACTURE HEALING (386 citations)
- Method and apparatus for collecting and processing physical space data for use while performing image-guided surgery (292 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Computer vision, Biomedical engineering, Image-guided surgery and Imaging phantom are his primary areas of study.
His Artificial intelligence research incorporates themes from Elastography, Finite element method, Deformation and Surface.
The Computer vision study combines topics in areas such as Scanner and Liver surgery.
His research integrates issues of Magnetic resonance imaging and Ultrasound in his study of Biomedical engineering.
His Image-guided surgery research includes themes of Iterative closest point, Fiducial marker and Soft tissue.
His Imaging phantom research focuses on Tomography and how it relates to Feature.
He most often published in these fields:
- Artificial intelligence (41.42%)
- Computer vision (40.30%)
- Biomedical engineering (24.25%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (41.42%)
- Computer vision (40.30%)
- Magnetic resonance imaging (17.54%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial intelligence, Computer vision, Magnetic resonance imaging, Image-guided surgery and Biomedical engineering.
His Artificial intelligence study which covers Plan that intersects with Neurosurgical Procedure.
His work carried out in the field of Computer vision brings together such families of science as Imaging phantom, Craniotomy and Liver surgery.
His research in the fields of Brain shift overlaps with other disciplines such as Electrode placement.
His Image-guided surgery study incorporates themes from Surgery, Soft tissue, Biomechanical model, Ultrasound and Neuronavigation.
The Biomedical engineering study which covers Image registration that intersects with Breast cancer and Supine position.
Between 2015 and 2021, his most popular works were:
- A mechanically coupled reaction-diffusion model that incorporates intra-tumoural heterogeneity to predict in vivo glioma growth. (37 citations)
- Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant Therapy. (34 citations)
- Improving Registration Robustness for Image-Guided Liver Surgery in a Novel Human-to-Phantom Data Framework (24 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Surgery
- Radiology
Michael I. Miga focuses on Magnetic resonance imaging, Image-guided surgery, Brain shift, Radiology and Glioma.
His Magnetic resonance imaging study combines topics in areas such as Type equation, Biological system, Tumour heterogeneity and Biomedical engineering.
His Image-guided surgery research incorporates elements of Ultrasound, Imaging phantom, Image guidance, Neuronavigation and Soft tissue deformation.
He combines subjects such as Tumor resection, Effective treatment and Finite element method with his study of Brain shift.
The various areas that Michael I. Miga examines in his Transducer study include Computer vision and Artificial intelligence.
His studies in Computer vision integrate themes in fields like Residual and Scanner.
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