2010 - IEEE Fellow For contributionx to biomedical image analysis and image guided medical interventions
His primary areas of investigation include Artificial intelligence, Computer vision, Image registration, Segmentation and Image processing. His work deals with themes such as Surface, Intensity and Pattern recognition, which intersect with Artificial intelligence. Benoit M. Dawant interconnects Imaging phantom, Magnetic resonance imaging, Scanner and Pattern recognition in the investigation of issues within Computer vision.
His Image registration research is multidisciplinary, incorporating perspectives in Medical imaging, Fiducial marker, Image-guided surgery, Distortion and Algorithm. His Image segmentation and Liver segmentation study in the realm of Segmentation connects with subjects such as Limits of agreement and Repeatability. Benoit M. Dawant interconnects Artificial neural network and Noise reduction in the investigation of issues within Image processing.
His main research concerns Artificial intelligence, Computer vision, Cochlear implant, Segmentation and Image registration. His research in Artificial intelligence focuses on subjects like Magnetic resonance imaging, which are connected to Deep brain stimulation. His Computer vision research incorporates elements of Imaging phantom, Point and Medical imaging.
The various areas that Benoit M. Dawant examines in his Cochlear implant study include Cochlea, Electrode array and Biomedical engineering. His Segmentation study combines topics from a wide range of disciplines, such as Similarity and Nuclear medicine. The concepts of his Image registration study are interwoven with issues in Fiducial marker, Image-guided surgery, Transformation, Algorithm and Voxel.
Benoit M. Dawant mainly focuses on Cochlear implant, Artificial intelligence, Computer vision, Segmentation and Electrode array. Benoit M. Dawant has included themes like Speech recognition, Hearing loss, Cochlea and Biomedical engineering in his Cochlear implant study. His Artificial intelligence research includes themes of Audiologist, Magnetic resonance imaging and Pattern recognition.
His study of Image registration is a part of Computer vision. His Segmentation research is multidisciplinary, incorporating elements of Image processing, Anatomy and Thalamus. Benoit M. Dawant focuses mostly in the field of Electrode array, narrowing it down to topics relating to Nuclear medicine and, in certain cases, Electrocochleography.
Benoit M. Dawant mostly deals with Cochlear implant, Audiology, Artificial intelligence, Pattern recognition and Correlation. His Cochlear implant research integrates issues from Speech recognition, Hearing loss, Electrode array and Noise. His Audiology research incorporates themes from Prospective cohort study, Quality of life, Referral center and Confidence interval.
Artificial intelligence is closely attributed to Computer vision in his work. In the subject of general Pattern recognition, his work in Segmentation is often linked to Computer programming and Automatic control, thereby combining diverse domains of study. His Correlation study integrates concerns from other disciplines, such as Superior canal dehiscence, Straight electrode, Positive correlation and Modiolus.
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Morphometric analysis of white matter lesions in MR images: method and validation
A.P. Zijdenbos;B.M. Dawant;R.A. Margolin;A.C. Palmer.
IEEE Transactions on Medical Imaging (1994)
Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques
West J;Fitzpatrick Jm;Wang My;Dawant Bm.
Journal of Computer Assisted Tomography (1997)
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets
T. Heimann;B. van Ginneken;M.A. Styner;Y. Arzhaeva.
IEEE Transactions on Medical Imaging (2009)
The adaptive bases algorithm for intensity-based nonrigid image registration
G.K. Rohde;A. Aldroubi;B.M. Dawant.
IEEE Transactions on Medical Imaging (2003)
Correction of intensity variations in MR images for computer-aided tissue classification
B.M. Dawant;A.P. Zijdenbos;R.A. Margolin.
IEEE Transactions on Medical Imaging (1993)
Neural-network-based segmentation of multi-modal medical images: a comparative and prospective study
M. Ozkan;B.M. Dawant;R.J. Maciunas.
IEEE Transactions on Medical Imaging (1993)
Brain segmentation and white matter lesion detection in MR images.
A P Zijdenbos;B M Dawant.
Critical Reviews in Biomedical Engineering (1994)
Automatic 3-D segmentation of internal structures of the head in MR images using a combination of similarity and free-form transformations. I. Methodology and validation on normal subjects
B.M. Dawant;S.L. Hartmann;J.-P. Thirion;F. Maes.
IEEE Transactions on Medical Imaging (1999)
Registration of 3-D images using weighted geometrical features
C.R. Maurer;G.B. Aboutanos;B.M. Dawant;R.J. Maciunas.
IEEE Transactions on Medical Imaging (1996)
Impact of electrode design and surgical approach on scalar location and cochlear implant outcomes.
George B. Wanna;Jack H. Noble;Matthew L. Carlson;René H. Gifford.
Profile was last updated on December 6th, 2021.
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