Gábor T. Herman

ORCID: 0000-0002-6458-811X
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About
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Research Areas
  • Medical Imaging Techniques and Applications
  • Medical Image Segmentation Techniques
  • Digital Image Processing Techniques
  • Advanced X-ray and CT Imaging
  • Advanced MRI Techniques and Applications
  • Advanced X-ray Imaging Techniques
  • Advanced Electron Microscopy Techniques and Applications
  • Sparse and Compressive Sensing Techniques
  • Computability, Logic, AI Algorithms
  • Computer Graphics and Visualization Techniques
  • Radiation Dose and Imaging
  • Electron and X-Ray Spectroscopy Techniques
  • Cellular Automata and Applications
  • Image Retrieval and Classification Techniques
  • Cell Image Analysis Techniques
  • Advanced Optimization Algorithms Research
  • Numerical methods in inverse problems
  • Anatomy and Medical Technology
  • Radiomics and Machine Learning in Medical Imaging
  • Topological and Geometric Data Analysis
  • DNA and Biological Computing
  • Optimization and Variational Analysis
  • semigroups and automata theory
  • Evolutionary Algorithms and Applications
  • 3D Shape Modeling and Analysis

New York University
2021

The Graduate Center, CUNY
2011-2020

City University of New York
2011-2020

Queens College, CUNY
2019

Medgar Evers College
2019

City College of New York
2007-2009

CUNY School of Law
2007

Center for Discrete Mathematics and Theoretical Computer Science
2006

University of Pennsylvania
1994-2005

Philadelphia University
1983-2005

Algebraic reconstruction techniques (ART) are iterative procedures for recovering objects from their projections. It is claimed that by a careful adjustment of the order in which collected data accessed during procedure and so-called relaxation parameters to be chosen an algebraic technique, ART can produce high-quality reconstructions with excellent computational efficiency. This demonstrated example based on particular (but realistic) medical imaging task, showing match performance...

10.1109/42.241889 article EN IEEE Transactions on Medical Imaging 1993-01-01

10.1016/0010-4825(76)90066-4 article EN Computers in Biology and Medicine 1976-10-01

A prospective sample of 69 healthy adults, age range 18-80 years, was studied with magnetic resonance imaging scans (T2 weighted, 5 mm thick) the entire cranium. Volumes were obtained by a segmentation algorithm that uses proton density and T2 pixel values to correct field inhomogeneities ("shading"). Average (+/- SD) brain volume, excluding cerebellum, 1090.91 ml 114.30; range, 822.19-1363.66), cerebrospinal fluid (CSF) volume 127.91 57.62; 34.00-297.02). Brain higher (by ml) in right...

10.1073/pnas.88.7.2845 article EN Proceedings of the National Academy of Sciences 1991-04-01

The expectation maximization method for maximum likelihood image reconstruction in emission tomography, based on the Poisson distribution of statistically independent components and measurement vectors, is extended to a aposteriori using multivariate Gaussian priori probability vector. approach equivalent penalized estimation with special choice penalty function. applied find posteriori maximizer. A simple iterative formula derived function that weighted sum squared deviations vector from...

10.1109/tmi.1987.4307826 article EN IEEE Transactions on Medical Imaging 1987-09-01

10.1016/0146-664x(79)90079-0 article EN Computer Graphics and Image Processing 1979-01-01

The author investigates how one can estimate the total attenuation, p, of a polyenergetic X-ray beam what m, monoenergetic would have been along same ray. He finds that for beams with typical diagnostic spectra passing through human body find simple function f such f(p) is sufficiently close m to allow good reconstructions. also cannot be accurately estimated from p based on assumption consists water alone. author's results are demonstrated by reconstructions mathematical model cross-section...

10.1088/0031-9155/24/1/008 article EN Physics in Medicine and Biology 1979-01-01

10.1016/0022-5193(73)90145-8 article EN Journal of Theoretical Biology 1973-11-01

10.1038/scientificamerican1075-56 article EN Scientific American 1975-10-01

Extensions to a shape-based interpolation method in which pixels that share boundary edge (one inside and the other outside object) are considered be at distance between adjacent pixel centers proposed. Using such an initialization for calculations, generalization of chamfer calculation is developed. The allows simultaneous distances within object its background by two consecutive chamfering processes. performances number variants methods evaluated. It shown using near-optimal 3*3 modified...

10.1109/38.135915 article EN IEEE Computer Graphics and Applications 1992-05-01

Desirable properties of color scales are examined, and a linearized optimal scale (LOCS) is introduced. The merits for medical image data were studied, it was found that, in tests, although observers performed somewhat better with the newly developed LOCS than previously advocated heated-object scale, they significantly gray either scales. After evaluating these results, authors suggest alternate solutions that might help perform better. Nonetheless, believe can contribute to perception...

10.1109/38.135886 article EN IEEE Computer Graphics and Applications 1992-01-01

Computed tomography and the cuberiile model-an effort to better serve medical profession its patients.

10.1109/mcg.1985.276275 article EN IEEE Computer Graphics and Applications 1985-12-01

Abstract The computed tomographic studies obtained routinely in the examination of patients with congenital or acquired defects skull and facial bones can be utilized as a substrate to provide an accurate three-dimensional representation osseous abnormalities. total dose x-irradiation is reduced other means radiological are eliminated. Osseous structures faithfully reproduced. Complete inspection reproduced structure made from any viewpoint, including internal inspection.

10.1227/00006123-198311000-00009 article EN Neurosurgery 1983-11-01

Image reconstruction from projections suffers an inherent difficulty: there are different images that have identical in any finite number of directions. However, by identifying the type image is likely to occur application area, one can design algorithms may be efficacious area even when small. One such approach uses total variation minimization. We report on algorithm based this approach, and show sometimes it produces medically-desirable reconstructions computerized tomography (CT) a small...

10.1088/0266-5611/24/4/045011 article EN Inverse Problems 2008-06-19
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