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image reconstruction
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Computed tomography
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biological organs
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1601
Computed tomography
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Approximation methods
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computerised tomography
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1806
Attenuation, Bones, Computed tomography,
Convolutional neural networks, Databases, Image reconstruction,
metal artifacts
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Srivastava, S.,
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Tomography,
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1906
Metals, Image reconstruction, Photonics, X-ray imaging,
Computed tomography, Solid modeling, Adaptation models,
computed tomography
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2004
Metals, Computed tomography, Decoding, Mars, X-ray imaging,
Image reconstruction, Training,
computed tomography
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Photon counting detectors, primary modulator mask,
scatter correction, spectral CT
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2007
TV, Computed tomography, Convolution, Image denoising,
Image reconstruction, Image quality, Huber function,
total variation
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2011
Image reconstruction, Magnetic resonance imaging, Geometry,
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histogram equalization, medical image, wavelet transform
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2012
Metals, Image restoration, Computed tomography, Implants,
X-ray imaging, Image reconstruction, Decoding, Cross-domain,
fan-beam CT
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Li, X.,
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Deep Sinogram Completion With Image Prior for Metal Artifact
Reduction in CT Images,
MedImg(40), No. 1, January 2021, pp. 228-238.
IEEE DOI
2012
Metals, Computed tomography, Image reconstruction, Neural networks,
Image generation, Interpolation, Image restoration,
deep learning
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Preuhs, A.[Alexander],
Manhart, M.[Michael],
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Maier, A.[Andreas],
Data Extrapolation From Learned Prior Images for Truncation
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MedImg(40), No. 11, November 2021, pp. 3042-3053.
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2111
Image reconstruction, Deep learning, Computed tomography,
Extrapolation, Detectors, Image quality, Robustness, Deep learning,
computed tomography
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Wang, B.[Biling],
Nguyen, D.[Dan],
Wang, B.[Bao],
Dong, B.[Bin],
Cong, W.X.[Wen-Xiang],
Kalra, M.K.[Mannudeep K.],
Jiang, S.[Steve],
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography,
MedImg(40), No. 11, November 2021, pp. 2965-2975.
IEEE DOI
2111
Computed tomography, Image resolution, Training, Noise reduction,
Task analysis, X-ray imaging, Testing, Deep learning,
image denoising
BibRef
Lee, J.[Junghyun],
Gu, J.[Jawook],
Ye, J.C.[Jong Chul],
Unsupervised CT Metal Artifact Learning Using Attention-Guided
ß-CycleGAN,
MedImg(40), No. 12, December 2021, pp. 3932-3944.
IEEE DOI
2112
Metals, Computed tomography, Mars, Image reconstruction,
Deep learning, Dentistry, Unsupervised learning,
convolutional block attention module
BibRef
Zavala-Mondragón, L.A.[Luis Albert],
de With, P.H.N.[Peter H. N.],
van der Sommen, F.[Fons],
Image Noise Reduction Based on a Fixed Wavelet Frame and CNNs Applied
to CT,
IP(30), 2021, pp. 9386-9401.
IEEE DOI
2112
Noise reduction, Discrete wavelet transforms,
Wireless sensor networks, Computed tomography, Kernel, Convolution,
denoising
BibRef
Geng, M.F.[Mu-Feng],
Meng, X.X.[Xiang-Xi],
Yu, J.Y.[Jiang-Yuan],
Zhu, L.[Lei],
Jin, L.[Lujia],
Jiang, Z.[Zhe],
Qiu, B.[Bin],
Li, H.[Hui],
Kong, H.J.[Han-Jing],
Yuan, J.M.[Jian-Min],
Yang, K.[Kun],
Shan, H.M.[Hong-Ming],
Han, H.B.[Hong-Bin],
Yang, Z.[Zhi],
Ren, Q.S.[Qiu-Shi],
Lu, Y.Y.[Yan-Ye],
Content-Noise Complementary Learning for Medical Image Denoising,
MedImg(41), No. 2, February 2022, pp. 407-419.
IEEE DOI
2202
Biomedical imaging, Noise reduction, Image denoising,
Computed tomography, Generative adversarial networks,
image restoration
BibRef
Wang, H.[Hong],
Li, Y.X.[Yue-Xiang],
He, N.J.[Nan-Jun],
Ma, K.[Kai],
Meng, D.Y.[De-Yu],
Zheng, Y.F.[Ye-Feng],
DICDNet: Deep Interpretable Convolutional Dictionary Network for
Metal Artifact Reduction in CT Images,
MedImg(41), No. 4, April 2022, pp. 869-880.
IEEE DOI
2204
Computed tomography, Metals, Task analysis, Dictionaries, Mars,
Optimization, Image reconstruction, CT metal artifact reduction,
interpretable dictionary learning
BibRef
Juneja, M.[Mamta],
Joshi, S.[Saasha],
Singla, N.[Naveen],
Ahuja, S.[Shaurya],
Saini, S.K.[Sumindar Kaur],
Thakur, N.[Niharika],
Jindal, P.[Prashant],
Denoising of computed tomography using bilateral median based
autoencoder network,
IJIST(32), No. 3, 2022, pp. 935-955.
DOI Link
2205
autoencoders, bilateral median, CT scan, denoising, filtering, pancreatic cancer
BibRef
Zavala-Mondragon, L.A.[Luis A.],
Rongen, P.[Peter],
Bescos, J.O.[Javier Olivan],
de With, P.H.N.[Peter H. N.],
van der Sommen, F.[Fons],
Noise Reduction in CT Using Learned Wavelet-Frame Shrinkage Networks,
MedImg(41), No. 8, August 2022, pp. 2048-2066.
IEEE DOI
2208
Noise reduction, Discrete wavelet transforms,
Convolutional neural networks, Convolution, Computed tomography,
encoding-decoding
BibRef
Rao, K.[Karishma],
Bansal, M.[Manu],
Kaur, G.[Gagandeep],
An optimized morphology transform-based diagnostic computed
tomography image enhancement using edge map,
IJIST(32), No. 5, 2022, pp. 1743-1760.
DOI Link
2209
CT image, image enhancement, PSO, top hat transform
BibRef
Gan, W.J.[Wei-Jie],
Sun, Y.[Yu],
Eldeniz, C.[Cihat],
Liu, J.M.[Jia-Ming],
An, H.Y.[Hong-Yu],
Kamilov, U.S.[Ulugbek S.],
Deformation-Compensated Learning for Image Reconstruction Without
Ground Truth,
MedImg(41), No. 9, September 2022, pp. 2371-2384.
IEEE DOI
2209
Training, Magnetic resonance imaging, Noise measurement,
Image reconstruction, Strain, Imaging,
magnetic resonance imaging (MRI)
BibRef
Xie, M.Y.[Ming-Yang],
Liu, J.M.[Jia-Ming],
Sun, Y.[Yu],
Gan, W.J.[Wei-Jie],
Wohlberg, B.[Brendt],
Kamilov, U.S.[Ulugbek S.],
Joint Reconstruction and Calibration Using Regularization by
Denoising with Application to Computed Tomography,
LCI21(4011-4020)
IEEE DOI
2112
Uncertainty, Limiting, Computed tomography, Noise reduction,
Measurement uncertainty, Robustness, Calibration
BibRef
Du, M.[Muge],
Liang, K.[Kaichao],
Zhang, L.[Li],
Gao, H.[Hewei],
Liu, Y.[Yinong],
Xing, Y.X.[Yu-Xiang],
Deep-Learning-Based Metal Artefact Reduction With Unsupervised Domain
Adaptation Regularization for Practical CT Images,
MedImg(42), No. 8, August 2023, pp. 2133-2145.
IEEE DOI
2308
Mars, Metals, Computed tomography, Feature extraction, Training,
Task analysis, Measurement,
X-ray imaging and computed tomography
BibRef
Wang, H.[Hong],
Xie, Q.[Qi],
Zeng, D.[Dong],
Ma, J.H.[Jian-Hua],
Meng, D.Y.[De-Yu],
Zheng, Y.F.[Ye-Feng],
OSCNet: Orientation-Shared Convolutional Network for CT Metal
Artifact Learning,
MedImg(43), No. 1, January 2024, pp. 489-502.
IEEE DOI Code:
WWW Link.
2401
BibRef
Shi, B.S.[Bao-Shun],
Zhang, S.L.[Shao-Lei],
Fu, Z.R.[Zhao-Ran],
Artifact Region-Aware Transformer:
Global Context Helps CT Metal Artifact Reduction,
SPLetters(31), 2024, pp. 1249-1253.
IEEE DOI
2405
Metals, Computed tomography, Image restoration, Transformers,
Estimation, Correlation, Image reconstruction, Computed tomography,
global context
BibRef
Li, Z.L.[Zi-Long],
Gao, Q.[Qi],
Wu, Y.P.[Ya-Ping],
Niu, C.[Chuang],
Zhang, J.P.[Jun-Ping],
Wang, M.[Meiyun],
Wang, G.[Ge],
Shan, H.M.[Hong-Ming],
Quad-Net: Quad-Domain Network for CT Metal Artifact Reduction,
MedImg(43), No. 5, May 2024, pp. 1866-1879.
IEEE DOI Code:
WWW Link.
2405
Metals, Mars, Image restoration, Computed tomography,
Image reconstruction, Fourier transforms, Convolution,
image post-processing
BibRef
Chen, Z.H.[Zhi-Hao],
Niu, C.[Chuang],
Gao, Q.[Qi],
Wang, G.[Ge],
Shan, H.M.[Hong-Ming],
LIT-Former: Linking In-Plane and Through-Plane Transformers for
Simultaneous CT Image Denoising and Deblurring,
MedImg(43), No. 5, May 2024, pp. 1880-1894.
IEEE DOI Code:
WWW Link.
2405
Computed tomography, Task analysis, Imaging, Transformers,
Noise reduction, Convolution, CT denoising, deblurring, transformer
BibRef
Xia, J.Q.[Jin-Qiu],
Zhou, Y.W.[Yi-Wen],
Deng, W.X.[Wen-Xin],
Kang, J.[Jing],
Wu, W.J.[Wang-Jiang],
Qi, M.K.[Meng-Ke],
Zhou, L.[Linghong],
Ma, J.H.[Jian-Hui],
Xu, Y.[Yuan],
PND-Net: Physics-Inspired Non-Local Dual-Domain Network for Metal
Artifact Reduction,
MedImg(43), No. 6, June 2024, pp. 2125-2136.
IEEE DOI
2406
Metals, Computed tomography, Implants, Image restoration, Photonics,
Phantoms, Image reconstruction, Metal artifact reduction,
unpaired learning
BibRef
Zhang, J.J.[Jian-Jia],
Mao, H.Y.[Hai-Yang],
Chang, D.Y.[Ding-Yue],
Yu, H.Y.[Heng-Yong],
Wu, W.W.[Wei-Wen],
Shen, D.G.[Ding-Gang],
Adaptive and Iterative Learning With Multi-Perspective
Regularizations for Metal Artifact Reduction,
MedImg(43), No. 9, September 2024, pp. 3354-3365.
IEEE DOI
2409
Wavelet transforms, Metals, Wavelet domain, Mars,
Computed tomography, Adaptation models, Mathematical models,
adaptive wavelet transform
BibRef
Karageorgos, G.M.[Grigorios M.],
Zhang, J.[Jiayong],
Peters, N.[Nils],
Xia, W.J.[Wen-Jun],
Niu, C.[Chuang],
Paganetti, H.[Harald],
Wang, G.[Ge],
de Man, B.[Bruno],
A Denoising Diffusion Probabilistic Model for Metal Artifact
Reduction in CT,
MedImg(43), No. 10, October 2024, pp. 3521-3532.
IEEE DOI
2411
Metals, Computed tomography, Image reconstruction,
Generative adversarial networks, Detectors, Noise reduction, Noise,
deep learning
BibRef
Liu, X.[Xuan],
Xie, Y.Q.[Yao-Qin],
Diao, S.[Songhui],
Tan, S.[Shan],
Liang, X.K.[Xiao-Kun],
Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors
in Dual Domains,
MedImg(43), No. 10, October 2024, pp. 3533-3545.
IEEE DOI
2411
Computed tomography, Metals, Image reconstruction, Data models,
Training, Implants, Convolutional neural networks,
unsupervised learning
BibRef
Seo, M.[Minkyo],
Kim, D.[Dongkeun],
Lee, K.[Kyungmoon],
Hong, S.[Seunghoon],
Bae, J.S.[Jae Seok],
Kim, J.H.[Jung Hoon],
Kwak, S.[Suha],
Neural Contrast Enhancement of CT Image,
WACV21(3972-3981)
IEEE DOI
2106
Training, Deep learning, Image synthesis, Computed tomography,
Neural networks, Predictive models, Registers
BibRef
Lin, W.A.[Wei-An],
Liao, H.F.[Hao-Fu],
Peng, C.[Cheng],
Sun, X.H.[Xiao-Hang],
Zhang, J.D.[Jing-Dan],
Luo, J.B.[Jie-Bo],
Chellappa, R.[Rama],
Zhou, S.H.K.[Shao-Hua Kevin],
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction,
CVPR19(10504-10513).
IEEE DOI
2002
BibRef
Jin, K.C.[Kyung-Chan],
Yoon, J.S.[Jung-Seok],
Song, Y.H.[Yoon-Ho],
Reduction of Missing Wedge Artifact in Oblique-View Computed Tomography,
ISVC16(II: 475-482).
Springer DOI
1701
BibRef
Frédérique, L.[Louis],
Recur, B.[Benoit],
Genot, S.[Sylvain],
Domenger, J.P.[Jean-Philippe],
Desbarats, P.[Pascal],
Sinogram Restoration Using Confidence Maps to Reduce Metal Artifact in
Computed Tomography,
ICIAR16(81-89).
Springer DOI
1608
BibRef
Sreehari, S.[Suhas],
Venkatakrishnan, S.V.,
Drummy, L.[Lawrence],
Simmons, J.[Jeff],
Bouman, C.A.[Charles A.],
Rotationally-invariant non-local means for image denoising and
tomography,
ICIP15(542-546)
IEEE DOI
1512
Rotationally-invariant NLM
BibRef
Jin, P.C.[Peng-Chong],
Ye, D.H.[Dong Hye],
Bouman, C.A.[Charles A.],
Joint metal artifact reduction and segmentation of CT images using
dictionary-based image prior and continuous-relaxed potts model,
ICIP15(798-802)
IEEE DOI
1512
Dictionary Learning
BibRef
Kumar, A.[Arjun],
Mandal, P.[Pratiti],
Zhang, Y.J.J.[Yong-Jie Jessica],
Litster, S.[Shawn],
Image Restoration of Phase Contrast Nano Scale X-ray CT Images,
CompIMAGE14(280-285).
Springer DOI
1407
BibRef
Kiwanuka, F.N.[Fred N.],
Wilkinson, M.H.F.[Michael H. F.],
Cluster Based Vector Attribute Filtering,
ISMM15(277-288).
Springer DOI
1506
BibRef
Earlier:
Cluster-based vector-attribute filtering for CT and MRI enhancement,
ICPR12(3112-3115).
WWW Link.
1302
BibRef
Karimi, S.[Seemeen],
Cosman, P.[Pamela],
Wald, C.[Christoph],
Martz, H.[Harry],
Using segmentation in CT metal artifact reduction,
Southwest12(9-12).
IEEE DOI
1205
BibRef
Brun, F.,
Kourousias, G.,
Dreossi, D.,
Mancini, L.,
Tromba, G.,
A comparative evaluation of ring artifacts reduction filters for X-ray
computed microtomography images,
ICIP11(405-408).
IEEE DOI
1201
BibRef
Kim, D.S.[Dong Sik],
Lee, S.G.[Sang-Gyun],
Adaptive grid pattern artifact reduction in radiography imaging based
on the significant-signal bandwidth,
ICIP11(1473-1476).
IEEE DOI
1201
BibRef
Earlier:
Grid artifact reduction in radiography with arctan(1/2)-degree rotated
grid,
ICIP10(1957-1960).
IEEE DOI
1009
BibRef
Kim, Y.S.[Young-Shin],
Yoon, S.B.[Seong-Beak],
Yi, J.H.[June-Ho],
Effective sinogram-inpainting for metal artifacts reduction in X-ray CT
images,
ICIP10(597-600).
IEEE DOI
1009
BibRef
Pan, N.[Ning],
Liu, H.[Hong],
de Ruiter, N.,
Grasset, R.,
Improving the image quality of spectral CT volume rendering,
IVCNZ09(203-208).
IEEE DOI
0911
BibRef
Huang, K.D.[Kui-Dong],
Zhang, D.H.[Ding-Hua],
Li, M.J.[Ming-Jun],
Noise Suppression Methods in Beam Hardening Correction for X-Ray
Computed Tomography,
CISP09(1-5).
IEEE DOI
0910
BibRef
Chandra, S.[Shekhar],
Svalbe, I.[Imants],
A method for removing cyclic artefacts in discrete tomography using
latin squares,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Axelsson, M.[Maria],
Svensson, S.[Stina],
Borgefors, G.[Gunilla],
Reduction of Ring Artifacts in High Resolution X-Ray Microtomography
Images,
DAGM06(61-70).
Springer DOI
0610
BibRef
Yuasa, T.,
Devaraj, B.,
Tanosaki, S.,
Taniguchi, H.,
Akatsuka, T.,
Reconstruction Method for Compensation of Surface Effects in
Transillumination Laser CT,
ICIP01(I: 341-344).
IEEE DOI
0108
BibRef
Hassanien, A.E.,
Karam, H.,
Akter, H.,
Nakajima, M.,
Generation of Missing Medical Slices Using Morphing Technology,
MVA98(xx-yy).
BibRef
9800
Garren, D.A.,
Goldstein, J.S.,
Extraction of multiple-bounce artifacts in tomographic imaging,
ICIP02(II: 613-616).
IEEE DOI
0210
BibRef
Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Electrical Impedance Tomography, EIT .