2014 - Fellow of the Indian National Academy of Engineering (INAE)
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.
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.
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.
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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Intraoperative brain shift and deformation: a quantitative analysis of cortical displacement in 28 cases.
David W. Roberts;Alexander Hartov;Francis E. Kennedy;Michael I. Miga.
REGENERATIVE EFFECTS OF TRANSPLANTED MESENCHYMAL STEM CELLS IN FRACTURE HEALING
Froilán Granero‐Moltó;Jared A. Weis;Michael I. Miga;Benjamin Landis.
Stem Cells (2009)
Method and apparatus for collecting and processing physical space data for use while performing image-guided surgery
Robert L. Galloway;William C. Chapman;James D. Stefansic;Alan J. Herline.
A computational model for tracking subsurface tissue deformation during stereotactic neurosurgery
K.D. Paulsen;M.I. Miga;F.E. Kennedy;P.J. Hoopens.
IEEE Transactions on Biomedical Engineering (1999)
An overlapping subzone technique for MR-based elastic property reconstruction.
E.E.W. Van Houten;K.D. Paulsen;K.D. Paulsen;M.I. Miga;F.E. Kennedy.
Magnetic Resonance in Medicine (1999)
Model-updated image guidance: initial clinical experiences with gravity-induced brain deformation
M.I. Miga;K.D. Paulsen;J.M. Lemery;S.D. Eisner.
IEEE Transactions on Medical Imaging (1999)
Three-dimensional subzone-based reconstruction algorithm for MR elastography.
Elijah E.W. Van Houten;Michael I. Miga;John B. Weaver;Francis E. Kennedy.
Magnetic Resonance in Medicine (2001)
Modeling of retraction and resection for intraoperative updating of images.
Michael I. Miga;David W. Roberts;Francis E. Kennedy;Leah A. Platenik.
Cortical surface registration for image-guided neurosurgery using laser-range scanning
M.I. Miga;T.K. Sinha;D.M. Cash;R.L. Galloway.
IEEE Transactions on Medical Imaging (2003)
In vivo quantification of a homogeneous brain deformation model for updating preoperative images during surgery
M.I. Miga;K.D. Paulsen;P.J. Hoopes;F.E. Kennedy.
IEEE Transactions on Biomedical Engineering (2000)
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