| 2023-10 |
Convolutional neural network‐based model observer for signal known statistically task in breast tomosynthesis images |
Medical Physics
|
| 2023-10 |
Power-law spectrum-based objective function to train a generative adversarial network with transfer learning for the synthetic breast CT image |
Physics in Medicine and Biology
|
| 2023-06 |
Strategy to implement a convolutional neural network based ideal model observer via transfer learning for multi-slice simulated breast CT images |
Physics in Medicine and Biology
|
| 2023-05 |
Utilization of an attentive map to preserve anatomical features for training convolutional neural‐network‐based low‐dose CT denoiser |
Medical Physics
|
| 2023-05 |
Helical Artifact Reduction Method Using Image Segmentation With CNN Denoising Technique |
IEEE Access
|
| 2022-12 |
No-reference perceptual CT image quality assessment based on a self-supervised learning framework |
Machine Learning: Science and Technology
|
| 2022-12 |
A streak artifact reduction algorithm in sparse-view CT using a self-supervised neural representation |
Medical Physics
|
| 2022-08 |
Convolutional neural network–based metal and streak artifacts reduction in dental CT images with sparse-view sampling scheme |
Medical Physics
|
| 2022-08 |
A Methodology to Train a Convolutional Neural Network-Based Low-Dose CT Denoiser With an Accurate Image Domain Noise Insertion Technique |
IEEE ACCESS
|
| 2022-06 |
Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser |
IEEE Access
|
| 2022-05 |
Effect of optical blurring of X-ray source on breast tomosynthesis image quality: Modulation transfer function, anatomical noise power spectrum, and signal detectability perspectives |
PLoS ONE
|
| 2022-04 |
Low-dose CT denoising via CNN trained using images with activation map |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
|
| 2022-04 |
A convolutional neural network based super resolution technique of CT image utilizing both sinogram domain and image domain data |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
|
| 2022-04 |
A new method to reduce helical artifacts in the reconstructed image from direct filtered backprojection |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
|
| 2022-04 |
A sequential approach using convolutional neural networks for motion artifacts reduction with a fast CT scan mode |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
|
| 2022-04 |
Streak artifacts reduction algorithm using an implicit neural representation in sparse-view CT |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
|
| 2022-03 |
Method to estimate fan-beam CT noise power spectrum using two basis functions with a limited number of noise realizations |
MEDICAL PHYSICS
|
| 2022-01 |
Two-phase learning-based 3D deblurring method for digital breast tomosynthesis images |
PLOS ONE
|
| 2021-11 |
Integration of 2D iteration and a 3D CNN-based model for multi-type artifact suppression in C-arm cone-beam CT |
Machine Vision and Applications
|
| 2021-10 |
Low-dose CT denoising via convolutional neural network with an observer loss function |
MEDICAL PHYSICS
|
| 2021-08 |
Geometry calibration and image reconstruction for carbon-nanotube-based multisource and multidetector CT |
PHYSICS IN MEDICINE AND BIOLOGY
|
| 2021-07 |
weakly-supervised progressive denoising with unpaired CT images |
MEDICAL IMAGE ANALYSIS
|
| 2021-02 |
Implementation of CNN-based multi-slice model observer for 3D cone beam CT |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
|
| 2021-02 |
Sphere phantom approach to measure mtf of computed tomography system using convolutional autoencoder network |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
|
| 2021-02 |
Cnn-based ct denoising with an accurate image domain noise insertion technique |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
|
| 2021-02 |
A hybrid domain approach to reduce streak artifacts of sparse view ct image via convolutional neural network |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
|
| 2021-02 |
Low-dose ct denoising via cnn with an observer loss function |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
|
| 2021-02 |
Convolutional neural network based metal artifact reduction method in dental ct image |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
|
| 2021-01 |
Rigid and non-rigid motion artifact reduction in X-ray CT using attention module |
MEDICAL IMAGE ANALYSIS
|
| 2021-01 |
A metal artifact reduction method for small field of view CT imaging |
PLOS ONE
|
| 2020-11 |
A convolutional neural network-based anthropomorphic model observer for signal-known-statistically and background-known-statistically detection tasks |
PHYSICS IN MEDICINE AND BIOLOGY
|
| 2020-09 |
A Convolutional Neural Network-Based Anthropomorphic Model Observer for Signal Detection in Breast CT Images Without Human-Labeled Data |
IEEE Access
|
| 2020-07 |
3D MTF esitmation using sphere phantoms for cone-beam computed tomography systems |
MEDICAL PHYSICS
|
| 2020-06 |
DUAL ENERGY APPROACH TO REDUCE CONE BEAM ARTEFACTS IN A CIRCULAR ORBIT CONE BEAM CT SYSTEM |
ELECTRONICS LETTERS
|
| 2020-04 |
A convolutional neural network-based model observer for breast CT images |
MEDICAL PHYSICS
|
| 2020-03 |
Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
|
| 2020-03 |
Implementation of an anthropomorphic model observer using convolutional neural network for breast tomosynthesis images |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
|
| 2020-03 |
Human observer performance on in-plane digital breast tomosynthesis images: Effects of reconstruction filters and data acquisition angles on signal detection |
PLOS ONE
|
| 2019-09 |
A performance comparison of convolutional neural network based image denoising methods The effect of loss functions on low-dose CT images |
MEDICAL PHYSICS
|
| 2019-08 |
A performance comparison of anthropomorphic model observers for breast cone beam CT images: A single-slice and multislice study |
MEDICAL PHYSICS
|
| 2019-04 |
Optimization of X-ray image acquisition and reconstruction for a C-arm CBCT system with a flat-panel detector |
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
|
| 2019-04 |
multi-pass approach to reduce cone beam artifacts in a circular orbit cone-beam CT system |
OPTICS EXPRESS
|
| 2018-12 |
Evaluation of human observer performance on lesion detectability in single-slice and multislice dedicated breast cone beam CT images with breast anatomical background |
MEDICAL PHYSICS
|
| 2018-09 |
A Hybrid Approach to Reduce Cone-Beam Artifacts for a Circular Orbit Cone-Beam CT System |
IEEE Access
|
| 2018-09 |
Correction of severe beam-hardening artifacts via a high-order linearization function using a prior-image-based parameter selection method |
MEDICAL PHYSICS
|
| 2018-07 |
Inter-laboratory comparison of channelized hotelling observer computation |
MEDICAL PHYSICS
|
| 2018-03 |
Human and model observer performance for lesion detection in breast cone beam CT images with the FDK reconstruction |
PLOS ONE
|
| 2017-09 |
Technical Note: A model-based sinogram correction for beam hardening artifact reduction in CT |
MEDICAL PHYSICS
|
| 2017-07 |
inverse filtering approach to measure directional in-plane modulation transfer functin using a sphere phantom for a digital tomosynthesis system |
OPTICS EXPRESS
|
| 2017-06 |
a metal artifact reduction algorithm in CT using multiple prior images by recursive active contour segmentation |
PLOS ONE
|
| 2016-10 |
Moving beam blocker based low dose Cone beam CT |
IEEE TRANSACTIONS ON NUCLEAR SCIENCE
|
| 2016-08 |
Multisource inverse-geometry CT. Part I. System concept and developement |
MEDICAL PHYSICS
|
| 2016-08 |
Effect of anatomical noise on the detectability of cone beam CT images with different slice direction, slice thickness, and volume glandular fraction |
OPTICS EXPRESS
|
| 2016-03 |
A sphere phantom approach to measure directional modulation transfer functions for tomosynthesis imaging systems |
IEEE TRANSACTIONS ON MEDICAL IMAGING
|
| 2016-02 |
Investigation on slice direction dependent detectability of volumetric cone beam CT images |
OPTICS EXPRESS
|
| 2015-04 |
A new method to measure directional modulation transfer function using sphere phantoms in a cone beam computed tomography system |
IEEE TRANSACTIONS ON MEDICAL IMAGING
|
| 2015-03 |
Raw data normalization for a multi source inverse geometry CT system |
OPTICS EXPRESS
|
| 2014-06 |
Ring artifact correction using detector line-ratios in computed tomography |
OPTICS EXPRESS
|
| 2014-03 |
A New CT Concept: Inverse Geometry CT |
Biomedical Engineering Letters
|
| 2014-03 |
A multi-source inverse-geometry CT system: initial results with an 8 spot x-ray source array |
PHYSICS IN MEDICINE AND BIOLOGY
|
| 2013-03 |
To bin or not to bin? The effect of CT system limiting resolution on noise and detectability |
PHYSICS IN MEDICINE AND BIOLOGY
|
| 2011-06 |
Effect of detector lag on CT noise power spectra |
MEDICAL PHYSICS
|
| 2011-04 |
Local and global 3D noise power spectrum in cone-beam CT system with FDK reconstruction |
MEDICAL PHYSICS
|
| 2010-10 |
A new method to combine 3D reconstruction volumes for multiple parallel circular cone beam orbits |
Medical Physics
|
| 2010-05 |
The noise power spectrum in CT with direct fan beam reconstruction |
Medical Physics
|
| 2009-02 |
Direct two-dimensional reconstruction algorithm for an inverse-geometry CT system |
Medical Physics
|