World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
8575
World Ranking
5940
National Ranking
2678

Research.com Recognitions

  • 2014 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Michael I. Miga is affiliated with Vanderbilt University in the United States and has contributed extensively to the fields of medicine and engineering. Their research prominently intersects radiology, nuclear medicine and imaging, biomedical engineering, computer vision and pattern recognition, surgery, and pulmonary and respiratory medicine.

The scientist's work encompasses a variety of major topics including radiomics and machine learning in medical imaging, medical imaging techniques and applications, surgical simulation and training, medical image segmentation techniques, medical imaging and analysis, augmented reality applications, and advanced radiotherapy techniques.

Frequent coauthors in Michael I. Miga's collaborative research include Jon S. Heiselman, Winona L. Richey, Morgan J. Ringel, Ingrid M. Meszoely, and William R. Jarnagin.

Their publications appear mainly in the following venues:

  • Journal of Medical Imaging
  • arXiv (Cornell University)
  • IEEE Transactions on Biomedical Engineering
  • IEEE Transactions on Medical Imaging
  • Medical Image Analysis

Among recent papers authored or coauthored by Michael I. Miga are:

  • Intraoperative Correction of Liver Deformation Using Sparse Surface and Vascular Features via Linearized Iterative Boundary Reconstruction, 2020, IEEE Transactions on Medical Imaging
  • Simulation of Image-Guided Microwave Ablation Therapy Using a Digital Twin Computational Model, 2023, IEEE Open Journal of Engineering in Medicine and Biology
  • A hybrid, image-based and biomechanics-based registration approach to markerless intraoperative nodule localization during video-assisted thoracoscopic surgery, 2021, Medical Image Analysis
  • Computational Imaging to Compensate for Soft-Tissue Deformations in Image-Guided Breast Conserving Surgery, 2022, IEEE Transactions on Biomedical Engineering
  • Impact of deformation on a supine-positioned image-guided breast surgery approach, 2021, International Journal of Computer Assisted Radiology and Surgery

Michael I. Miga has been recognized with the award of Fellow of the Indian National Academy of Engineering (INAE) in 2014.

Best Publications

  • 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

  • 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

  • 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

  • Model-updated image guidance: initial clinical experiences with gravity-induced brain deformation

    M.I. Miga;K.D. Paulsen;J.M. Lemery;S.D. Eisner

  • Three-dimensional subzone-based reconstruction algorithm for MR elastography.

    Elijah E.W. Van Houten;Michael I. Miga;John B. Weaver;Francis E. Kennedy

  • 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

  • Apparatus and methods of compensating for organ deformation, registration of internal structures to images, and applications of same

    Michael I. Miga;Logan W. Clements;Robert L. Galloway

  • 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

  • Clinically relevant modeling of tumor growth and treatment response.

    Thomas E. Yankeelov;Nkiruka Atuegwu;David Hormuth;Jared A. Weis

  • Concepts and Preliminary Data Toward the Realization of Image-guided Liver Surgery

    David M. Cash;David M. Cash;Michael I. Miga;Sean C. Glasgow;Benoit M. Dawant

  • Microwave image reconstruction utilizing log-magnitude and unwrapped phase to improve high-contrast object recovery

    P.M. Meaney;K.D. Paulsen;B.W. Pogue;M.I. Miga

  • Compensating for intraoperative soft-tissue deformations using incomplete surface data and finite elements

    D.M. Cash;M.I. Miga;T.K. Sinha;R.L. Galloway

  • Magnetic resonance elastography using 3D gradient echo measurements of steady-state motion.

    John B. Weaver;Elijah E. W. Van Houten;Michael I. Miga;Francis E. Kennedy

  • Intraoperatively updated neuroimaging using brain modeling and sparse data.

    David W. Roberts;Michael I. Miga;Alexander Hartov;Symma Eisner

  • An atlas-based method to compensate for brain shift: Preliminary results

    Prashanth Dumpuri;Reid Carleton Thompson;Benoit M. Dawant;Aize Cao

  • Robust surface registration using salient anatomical features for image-guided liver surgery: Algorithm and validation

    Logan W. Clements;William C. Chapman;Benoit M. Dawant;Robert L. Galloway

  • A new approach to elastography using mutual information and finite elements

    Michael I Miga

  • Sliding Mode Control of Steerable Needles

    D. Caleb Rucker;Jadav Das;Hunter B. Gilbert;Philip J. Swaney

  • Elastography imaging modalities for characterizing properties of tissue

    Michael I. Miga

  • Incorporation of a laser range scanner into image-guided liver surgery: surface acquisition, registration, and tracking.

    David M. Cash;Tuhin K. Sinha;William C. Chapman;Hiromi Terawaki

Frequent Co-Authors

Benoit M. Dawant
Benoit M. Dawant Vanderbilt University
Robert L. Galloway
Robert L. Galloway Vanderbilt University
Francis E. Kennedy
Francis E. Kennedy Dartmouth College
Keith D. Paulsen
Keith D. Paulsen Dartmouth College
Vito Quaranta
Vito Quaranta Vanderbilt University
Alexandra J. Golby
Alexandra J. Golby Brigham and Women's Hospital
J. Michael Fitzpatrick
J. Michael Fitzpatrick Vanderbilt University
Nathan McDannold
Nathan McDannold Brigham and Women's Hospital
Tao Sun
Tao Sun University of Virginia

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