21.7 X-Ray Images, Radiography

Chapter Contents (Back)
Radiography. X Rays.
See also Radiotherapy, Radiation Therapy, Radiotherapy Planning, X-Ray Images.

Hall, E.L., Kruger, R.P., Dwyer, III, S.J., Hall, D.L., McLaren, R.W., Lodwick, G.S.,
A Survey of Preprocessing and Feature Extraction Techniques for Radiographic Images,
TC(20), No. 9, September 1971, pp. 1032-1045. Survey, Radiographic Images. BibRef 7109

Harlow, C.A., Dwyer, III, S.J., and Lodwick, G.,
On radiographic image analysis,
DPA76(65-150).
Springer DOI BibRef 7600

Trussell, H.J.,
Processing of X-Ray Images,
PIEEE(69), No. 5, May 1981, 615-627. Survey, Radiographic Images. BibRef 8105

Rowe, R.W., Keyes, W.I.,
Application of a Distance-Based Method for Analyzing Spatial Patterns to the Analysis of Radionuclide Tomograms,
PR(14), No. 1-6, 1981, pp. 11-15.
Elsevier DOI 0309
BibRef

Silva, R., Rogers, G.L.,
Coding and decoding pictures in nuclear medicine,
PR(14), No. 1-6, 1981, pp. 3-10.
Elsevier DOI 0309
BibRef

Hoehne, K.H., Boehm, M.,
Processing and Analysis of Radiographic Image Sequences,
ISPDSA83(602-623). BibRef 8300

Pal, S.K., and King, R.A.,
On Edge Detection of X-Ray Images,
PAMI(5), No. 1, January 1983, pp. 69-77. BibRef 8301

Kita, Y.,
Extraction of Stomach Contours from Double Contrast Radiographs Using Predicted Shapes Derived from Barium-Filled Stomach Radiographs,
IEICE(J74-D-II), No. 7, 1991, pp. 873-886. BibRef 9100

Kita, Y., Shirai, Y.,
Extraction of Accurate Stomach Contour from X-Ray Image of Barium-Filled Stomachs and Its Application to Detect Potential Abnormalities,
GMIP(53), No. 5, 1991, pp. 447-456. BibRef 9100
Earlier:
Extraction of accurate stomach contour from X-ray images of barium filled stomachs,
ICPR88(II: 917-919).
IEEE DOI 8811
BibRef

Zubal, I.G.[I. George], Harrell, C.R.[Charles R.],
Voxel based Monte Carlo calculations of nuclear medicine images and applied variance reduction techniques,
IVC(10), No. 6, July-August 1992, pp. 342-348.
Elsevier DOI 0401
BibRef

Taylor, P., Fox, J., Todd-Pokropek, A.,
A Model for Integrating Image-Processing into Decision Aids for Diagnostic-Radiology,
AIMed(9), No. 3, March 1997, pp. 205-225. 9704
BibRef

Peter, J., Freyer, R., Smith, M.F., Scarfone, C., Coleman, R.E., Jaszczak, R.J.,
Nuclear-Medicine Image Segmentation Using a Connective Network,
NucSci(44), No. 4, Part 1, August 1997, pp. 1583-1590. 9708
BibRef

Poli, R., Valli, G.,
Shape from Radiological Density,
CVIU(65), No. 3, March 1997, pp. 361-381.
DOI Link 9705
BibRef

Haff, R.P., Schatzki, T.F.,
Image Restoration of Line Scanned X-Ray Images,
OptEng(36), No. 12, December 1997, pp. 3288-3296. 9801
BibRef

Zhang, J.G., Huang, H.K.,
Automatic Background Recognition and Removal (ABRR) in Computed Radiography Images,
MedImg(16), No. 6, December 1997, pp. 762-771.
IEEE Top Reference. 9803
BibRef

Krupinski, E.A., Nodine, C.F., Kundel, H.L.,
Enhancing Recognition of Lesions in Radiographic Images Using Perceptual Feedback,
OptEng(37), No. 3, March 1998, pp. 813-818. 9804
BibRef

Windyga, P., Garreau, M., Coatrieux, J.L.,
Estimation of search-space in 3D coronary artery reconstruction using angiographic biplane images,
PRL(19), No. 14, December 1998, pp. 1325-1330. BibRef 9812

Luo, J., Senn, R.A.,
Automatic Detection of Radiation Fields in Digital Radiographic Images,
PRAI(13), No. 1, February 1999, pp. 149. BibRef 9902

Egmont-Petersen, M., Arts, T.,
Recognition of radiopaque markers in X-ray images using a neural network as nonlinear filter,
PRL(20), No. 5, May 1999, pp. 521-533. 9912
BibRef

Lashkia, V.,
Defect detection in X-ray images using fuzzy reasoning,
IVC(19), No. 5, 1 April 2001, pp. 261-269.
Elsevier DOI 0102
BibRef

Li, H., Wang, Y., Liu, K.J.R., Lo, S.C.B., Freedman, M.T.,
Computerized radiographic mass detection. I. Lesion site selection by morphological enhancement and contextual segmentation,
MedImg(20), No. 4, April 2001, pp. 289-301.
IEEE Top Reference. 0110
BibRef

Li, H., Wang, Y., Liu, K.J.R., Lo, S.C.B., Freedman, M.T.,
Computerized radiographic mass detection. II. Decision support by featured database visualization and modular neural networks,
MedImg(20), No. 4, April 2001, pp. 302-313.
IEEE Top Reference. 0110
BibRef

Peer, S., Neitzel, U., Giacomuzzi, S.M., Peer, R., Gassner, E., Steingruber, I., Jaschke, W.,
Comparison of low-contrast detail perception on storage phosphor radiographs and digital flat panel detector images,
MedImg(20), No. 3, March 2001, pp. 239-242.
IEEE Top Reference. 0110
BibRef

Wilson, D.L., Jabri, K.N., Aufrichtig, R.,
Perception of temporally filtered X-ray fluoroscopy images,
MedImg(18), No. 1, January 1999, pp. 22-31.
IEEE Top Reference. 0110
BibRef

Okunade, A.A., Ogundare, F.O.,
Models for the comparative equivalence of scattering properties of elemental filters used in diagnostic radiology,
MedImg(18), No. 11, November 1999, pp. 1098-1107.
IEEE Top Reference. 0110
BibRef

Bronnikov, A.V.,
Reconstruction of attenuation map using discrete consistency conditions,
MedImg(19), No. 5, May 2000, pp. 451-462.
IEEE Top Reference. 0110
BibRef

Dippel, S., Stahl, M., Wiemker, R., Blaffert, T.,
Multiscale Contrast Enhancement for Radiographies: Laplacian Pyramid versus Fast Wavelet Transform,
MedImg(21), No. 4, April 2002, pp. 343-353.
IEEE Top Reference. 0206
BibRef

Börlin, N.[Niclas],
Comparison of resection-intersection algorithms and projection geometries in radiostereometry,
PandRS(56), No. 5-6, August 2002, pp. 390-400.
HTML Version. 0208
BibRef

Shi, X.Q.[Xie-Qi], Sällström, P.[Pehr], Welander, U.[Ulf],
A color coding method for radiographic images,
IVC(20), No. 11, September 2002, pp. 761-767.
Elsevier DOI 0209
BibRef

Wang, T.W., Evans, J.P.O.,
Stereoscopic Dual-Energy X-Ray Imaging for Target Materials Identification,
VISP(150), No. 2, April 2003, pp. 122-130.
IEEE Abstract. 0307
BibRef

Yin, L.J.[Li-Jun], Basu, A.[Anup], Chang, J.K.[Ja Kwei],
Scalable edge enhancement with automatic optimization for digital radiographic images,
PR(37), No. 7, July 2004, pp. 1407-1422.
Elsevier DOI 0405
BibRef
Earlier: A1, A3, A2:
Synthesis-based scalable image enhancement for digital radiograph,
ICIP02(II: 973-976).
IEEE DOI 0210
BibRef

Sattarivand, M., Cunningham, I.A.,
Computational Engine for Development of Complex Cascaded Models of Signal and Noise in X-Ray Imaging Systems,
MedImg(24), No. 2, February 2005, pp. 211-222.
IEEE Abstract. 0501
BibRef

Wei, C.P.[Chih-Ping], Hu, P.J.H.[Paul Jen-Hwa], Sheng, O.R.L.[Olivia R. Liu], and Lee, Y.H.[Yen-Hsien],
Intelligent Image Prefetching for Supporting Radiologists' Primary Reading: A Decision-Rule Inductive Learning Approach,
SMC-A(35), No. 2, March 2005, pp. 261-274.
IEEE Abstract. 0501
BibRef

van Rikxoort, E.M., van Ginneken, B., Klik, M., Prokop, M.,
Supervised Enhancement Filters: Application to Fissure Detection in Chest CT Scans,
MedImg(27), No. 1, January 2008, pp. 1-10.
IEEE DOI 0712
BibRef

Arzhaeva, Y.[Yulia], Tax, D.M.J.[David M.J.], van Ginneken, B.[Bram],
Dissimilarity-based classification in the absence of local ground truth: Application to the diagnostic interpretation of chest radiographs,
PR(42), No. 9, September 2009, pp. 1768-1776.
Elsevier DOI 0905
BibRef
Earlier:
Image Classification from Generalized Image Distance Features: Application to Detection of Interstitial Disease in Chest Radiographs,
ICPR06(I: 367-370).
IEEE DOI 0609
Dissimilarity-based classification; Weakly labeled data; Computer-aided diagnosis; Medical image analysis; Chest radiography BibRef

Vedantham, S., Karellas, A.,
Modeling the Performance Characteristics of Computed Radiography (CR) Systems,
MedImg(29), No. 3, March 2010, pp. 790-806.
IEEE DOI 1003
Evaluation, Radiography. BibRef

Wang, A.S., Pelc, N.J.,
Sufficient Statistics as a Generalization of Binning in Spectral X-ray Imaging,
MedImg(30), No. 1, January 2011, pp. 84-93.
IEEE DOI 1101
BibRef

Averbuch, A., Lifschitz, G., Shkolnisky, Y.,
Accelerating X-Ray Data Collection Using Pyramid Beam Ray Casting Geometries,
IP(20), No. 2, February 2011, pp. 523-533.
IEEE DOI 1102
BibRef

Tao, Y., Peng, Z., Krishnan, A., Zhou, X.S.,
Robust Learning-Based Parsing and Annotation of Medical Radiographs,
MedImg(30), No. 2, February 2011, pp. 338-350.
IEEE DOI 1102
BibRef

Avni, U., Greenspan, H., Konen, E., Sharon, M., Goldberger, J.,
X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words,
MedImg(30), No. 3, March 2011, pp. 733-746.
IEEE DOI 1103
BibRef

Moore, S.C., Southekal, S., Park, M.A., McQuaid, S.J., Kijewski, M.F., Muller, S.P.,
Improved Regional Activity Quantitation in Nuclear Medicine Using a New Approach to Correct for Tissue Partial Volume and Spillover Effects,
MedImg(31), No. 2, February 2012, pp. 405-416.
IEEE DOI 1202
BibRef

Shi, J.[Jun], Xiao, S.[Shali], Liu, L.F.[Li-Feng], Wu, Y.[Yufen],
Study of X-ray imaging with toroidally bent crystal,
IJIST(22), No. 4, December 2012, pp. 226-232.
DOI Link 1211
BibRef

Yun, S.[Seungman], Kim, H.K.[Ho Kyung], Youn, H.[Hanbean], Tanguay, J., Cunningham, I.A.,
Analytic Model of Energy-Absorption Response Functions in Compound X-ray Detector Materials,
MedImg(32), No. 10, 2013, pp. 1819-1828.
IEEE DOI 1311
Compton effect BibRef

Hogeweg, L., Sanchez, C.I., van Ginneken, B.,
Suppression of Translucent Elongated Structures: Applications in Chest Radiography,
MedImg(32), No. 11, 2013, pp. 2099-2113.
IEEE DOI 1312
blind source separation BibRef

Anderson, M.,
The medical X-ray's new phase,
Spectrum(51), No. 3, March 2014, pp. 20-20.
IEEE DOI 1404
BibRef

Szigeti, K., Mathe, D., Osvath, S.,
Motion Based X-Ray Imaging Modality,
MedImg(33), No. 10, October 2014, pp. 2031-2038.
IEEE DOI 1411
biological tissues BibRef

Hamann, E., Koenig, T., Zuber, M., Cecilia, A., Tyazhev, A., Tolbanov, O., Procz, S., Fauler, A., Baumbach, T., Fiederle, M.,
Performance of a Medipix3RX Spectroscopic Pixel Detector With a High Resistivity Gallium Arsenide Sensor,
MedImg(34), No. 3, March 2015, pp. 707-715.
IEEE DOI 1503
diagnostic radiography BibRef

Panta, R.K., Walsh, M.F., Bell, S.T., Anderson, N.G., Butler, A.P., Butler, P.H.,
Energy Calibration of the Pixels of Spectral X-ray Detectors,
MedImg(34), No. 3, March 2015, pp. 697-706.
IEEE DOI 1503
X-ray detection BibRef

Rajaei, A.[Amir], Dallalzadeh, E.[Elham], Rangarajan, L.[Lalitha],
Symbolic representation and classification of medical X-ray images,
SIViP(9), No. 3, March 2015, pp. 715-725.
WWW Link. 1503
BibRef

Niroshika, A.U.A., Meegama, R.G.N., Lokupitiya, R.S., Kannangara, D.K.S.,
Active contours with prior corner detection to extract discontinuous boundaries of anatomical structures in X-ray images,
IET-IPR(9), No. 3, 2015, pp. 202-210.
DOI Link 1504
deformation BibRef

Niroshika, U.A.A., Meegama, R.G.N.,
BLAID: Boundaries from Locally Adaptive Isotropic Detection,
IVC(51), No. 1, 2016, pp. 49-57.
Elsevier DOI 1606
Corner detection BibRef

Aichert, A., Berger, M., Wang, J., Maass, N., Doerfler, A., Hornegger, J., Maier, A.K.,
Epipolar Consistency in Transmission Imaging,
MedImg(34), No. 11, November 2015, pp. 2205-2219.
IEEE DOI 1511
Cameras BibRef

Bastan, M.[Muhammet],
Multi-view object detection in dual-energy X-ray images,
MVA(26), No. 7-8, November 2015, pp. 1045-1060.
Springer DOI 1511
BibRef

Nguyen, D.C.T.[Dac Cong Tai], Benameur, S.[Said], Mignotte, M.[Max], Lavoie, F.[Frédéric],
Superpixel and Entropy-Based Multi-atlas Fusion Framework for the Segmentation of X-ray Images,
CIAP15(II:151-161).
Springer DOI 1511
BibRef

Biegun, A.K., Visser, J., Klaver, T., Ghazanfari, N., van Goethem, M.J., Koffeman, E., van Beuzekom, M., Brandenburg, S.,
Proton Radiography With Timepix Based Time Projection Chambers,
MedImg(35), No. 4, April 2016, pp. 1099-1105.
IEEE DOI 1604
barium compounds BibRef

Alvarez, R.E.,
Efficient, Non-Iterative Estimator for Imaging Contrast Agents With Spectral X-Ray Detectors,
MedImg(35), No. 4, April 2016, pp. 1138-1146.
IEEE DOI 1604
Attenuation BibRef

Yin, R.J.[Ru-Jie], Cornelis, B.[Bruno], Fodor, G.[Gabor], Ocon, N.[Noelle], Dunson, D.[David], Daubechies, I.[Ingrid],
Removing Cradle Artifacts in X-Ray Images of Paintings,
SIIMS(9), No. 3, 2016, pp. 1247-1272.
DOI Link 1610
BibRef

Hesselink, L.[Lambertus], Yuen, M.[Max], Chang, C.W.[Ching-Wei], Cheng, Y.T.[Yao-Te], Takashima, Y.[Yuzuru],
Novel 3D x-ray differential phase-contrast imaging system,
SPIE(Newsroom), November 1, 2016
DOI Link 1611
A photoemitter x-ray source array, single-phase grating, and photonic-channeled x-ray detector array provide a larger field of view and improved fringe contrast than conventional systems. BibRef

Yamada, I.[Isao],
Stochastic model for quantum noise analysis in flat-panel detectors for medical imaging applications,
JOSA-A(33), No. 12, December 2016, pp. 2443-2449.
DOI Link 1612
Noise in imaging systems; X-ray imaging BibRef

Fodor, G.[Gábor], Cornelis, B.[Bruno], Yin, R.J.[Ru-Jie], Dooms, A.[Ann], Daubechies, I.[Ingrid],
Cradle Removal in X-Ray Images of Panel Paintings,
IPOL(7), 2017, pp. 23-42.
DOI Link 1702
Code, X-Ray Analysis. BibRef

Yin, R.J.[Ru-Jie], Dunson, D.[David], Cornelis, B.[Bruno], Brown, B.[Bill], Ocon, N.[Noelle], Daubechies, I.[Ingrid],
Digital cradle removal in X-ray images of art paintings,
ICIP14(4299-4303)
IEEE DOI 1502
Not medical, but is X-Ray analysis. Art BibRef

Lee, O., Kappler, S., Polster, C., Taguchi, K.,
Estimation of Basis Line-Integrals in a Spectral Distortion-Modeled Photon Counting Detector Using Low-Order Polynomial Approximation of X-ray Transmittance,
MedImg(36), No. 2, February 2017, pp. 560-573.
IEEE DOI 1702
Attenuation BibRef

Lee, O., Kappler, S., Polster, C., Taguchi, K.,
Estimation of Basis Line-Integrals in a Spectral Distortion-Modeled Photon Counting Detector Using Low-Rank Approximation-Based X-Ray Transmittance Modeling: K-Edge Imaging Application,
MedImg(36), No. 11, November 2017, pp. 2389-2403.
IEEE DOI 1711
Approximation algorithms, Attenuation, Energy measurement, Maximum likelihood estimation, X-ray imaging, K-edge imaging, low-rank approximation, photon counting detector, spectral response effect BibRef

Deligiannis, N., Mota, J.F.C., Cornelis, B., Rodrigues, M.R.D., Daubechies, I.,
Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation,
IP(26), No. 2, February 2017, pp. 751-764.
IEEE DOI 1702
X-ray imaging BibRef

Mohammadi, H.M.[Hossein Mahvash], de Guise, J.A.[Jacques A.],
Enhanced X-ray image segmentation method using prior shape,
IET-CV(11), No. 2, March 2017, pp. 145-152.
DOI Link 1703
BibRef
And: Erratum: IET-CV(11), No. 6, September 2017, pp. 505.
DOI Link 1709
BibRef

Bruza, P., Andreozzi, J.M., Gladstone, D.J., Jarvis, L.A., Rottmann, J., Pogue, B.W.,
Online Combination of EPID-Cherenkov Imaging for 3-D Dosimetry in a Liquid Phantom,
MedImg(36), No. 10, October 2017, pp. 2099-2103.
IEEE DOI 1710
Convolution, Dosimetry, Image reconstruction, Image resolution, Imaging, Portals, Cherenkov imaging, EPID, VMAT, image reconstruction, portal imaging, real-time, 3D, dosimetry BibRef

Skjonsfjell, E.T.B.[Eirik T. B.], Kleiven, D.[David], Patil, N.[Nilesh], Chushkin, Y.[Yuriy], Zontone, F.[Federico], Gibaud, A.[Alain], Breiby, D.W.[Dag W.],
High-resolution coherent x-ray diffraction imaging of metal-coated polymer microspheres,
JOSA-A(35), No. 1, January 2018, pp. A7-A17.
DOI Link 1801
Phase retrieval, Three-dimensional microscopy, Microscopy BibRef

Klodt, M.[Maria], Hauser, R.[Raphael],
Nonlinear Compressed Sensing for Multi-emitter X-Ray Imaging,
EMMCVPR17(189-204).
Springer DOI 1805
BibRef

Mohan, K.A., Panas, R.M., Cuadra, J.A.,
SABER: A Systems Approach to Blur Estimation and Reduction in X-Ray Imaging,
IP(29), 2020, pp. 7751-7764.
IEEE DOI 2007
Blur, deblur, optimization, algorithm, radiography, tomography, source blur, detector blur, motion blur, deconvolution, high resolution BibRef

Zhou, A.[Abel], Yin, Y.M.[Yu-Ming], Tan, Q.[Qi], White, G.L.[Graeme L.], Davidson, R.[Rob],
The determination of the optimal strip-thickness of anti-scatter grids for a given grid ratio and strip height,
IJIST(30), No. 4, 2020, pp. 916-925.
DOI Link 2011
X-ray scattering. anti-scatter grids, Monte Carlo simulation, optimal strip-thickness, signal-to-noise ratio improvement factor BibRef

Larrazabal, A.J., Martínez, C., Glocker, B., Ferrante, E.,
Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders,
MedImg(39), No. 12, December 2020, pp. 3813-3820.
IEEE DOI 2012
Image segmentation, Shape, Noise reduction, Biomedical imaging, Topology, Manifolds, X-ray imaging, Anatomical segmentation, post-processing BibRef

Kim, D.S., Lee, E.,
Signal Lag Measurements Based on Temporal Correlations,
SPLetters(28), 2021, pp. 21-25.
IEEE DOI 2101
Detectors, Correlation, X-ray imaging, Reactive power, Image sequences, Heuristic algorithms, Noise measurement, power spectral density BibRef

Zhou, A.[Abel], Tan, Q.[Qi], White, G.L.[Graeme L.], Davidson, R.[Rob],
New antiscatter grid design by optimization of strip thickness and height,
IJIST(31), No. 3, 2021, pp. 1294-1299.
DOI Link 2108
antiscatter grid design, Monte Carlo simulation, optimal strip height, optimal strip thickness, optimization, X-ray imaging BibRef

Li, Q.W.[Qing-Wu], Xu, J.X.[Jin-Xin], Wang, J.Y.[Jia-Yu], Jing, Y.F.[Yue-Feng], Wang, X.L.[Xiao-Lin],
Uncertainty Quantification Enforced Flash Radiography Reconstruction by Two-Level Efficient MCMC,
IP(30), 2021, pp. 7184-7199.
IEEE DOI 2108
Image reconstruction, Radiography, X-ray imaging, Uncertainty, Imaging, Noise measurement, Bayes methods, Flash radiography, first-order truncated CG BibRef

Wang, X.L.[Xiao-Lin], Li, Q.W.[Qing-Wu], Xu, J.X.[Jin-Xin],
High energy flash X-ray image restoration using region extrema and kernel optimization,
IET-IPR(15), No. 12, 2021, pp. 2970-2985.
DOI Link 2109
BibRef

Li, X.F.[Xiao-Feng], Wang, Y.W.[Yan-Wei], Cai, Y.J.[Ying-Jie],
Automatic Annotation Algorithm of Medical Radiological Images using Convolutional Neural Network,
PRL(152), 2021, pp. 158-165.
Elsevier DOI 2112
Convolutional Neural Network, Medical radiography, Automatic annotation, Segmentation BibRef

Gürsoy, D.[Doga], Chen-Wiegart, Y.C.K.[Yu-Chen Karen], Jacobsen, C.[Chris],
Lensless X-Ray Nanoimaging: Revolutions and opportunities,
SPMag(39), No. 1, January 2022, pp. 44-54.
IEEE DOI 2201
Diffraction, Imaging, X-ray diffraction, Signal processing, Reconstruction algorithms, Spatial resolution BibRef

Ma, C.J.[Chun-Jie], Zhuo, L.[Li], Li, J.F.[Jia-Feng], Zhang, Y.T.[Yu-Tong], Zhang, J.[Jing],
EAOD-Net: Effective anomaly object detection networks for X-ray images,
IET-IPR(16), No. 10, 2022, pp. 2638-2651.
DOI Link 2207
BibRef

Wang, Z.Y.[Zhan-Yu], Han, H.W.[Hong-Wei], Wang, L.[Lei], Li, X.[Xiu], Zhou, L.P.[Lu-Ping],
Automated Radiographic Report Generation Purely on Transformer: A Multicriteria Supervised Approach,
MedImg(41), No. 10, October 2022, pp. 2803-2813.
IEEE DOI 2210
Transformers, Visualization, Medical diagnostic imaging, Feature extraction, Task analysis, Decoding, Training, image-text matching BibRef

Liu, S.Y.[Shuo-Yan], Yang, E.[Enze], Liu, Y.X.[Yu-Xin], Zhao, S.T.[Shi-Tao],
DMA-Net: Dual multi-instance attention network for X-ray image classification,
IET-IPR(16), No. 13, 2022, pp. 3518-3528.
DOI Link 2210
BibRef

Ahmadian, K.[Khodabakhsh], Reza-Alikhani, H.R.[Hamid-Reza],
X-Ray medical image super-resolution via self-organization neural networks and geometric directional gradient,
IET-IPR(16), No. 14, 2022, pp. 3910-3928.
DOI Link 2212
BibRef

Lai, R.Y.[Ru-Yu], Uhlmann, G.[Gunther], Zhai, J.[Jian], Zhou, H.[Hanming],
Single Pixel X-ray Transform and Related Inverse Problems,
SIIMS(15), No. 4, 2022, pp. 1894-1909.
DOI Link 2212
BibRef

Leatham, T.A.[Thomas A.], Paganin, D.M.[David M.], Morgan, K.S.[Kaye S.],
X-Ray Dark-Field and Phase Retrieval Without Optics, via the Fokker-Planck Equation,
MedImg(42), No. 6, June 2023, pp. 1681-1695.
IEEE DOI 2306
X-ray imaging, Imaging, Mathematical models, Microstructure, Detectors, Optical scattering, Optical imaging, X-ray imaging, Fokker-Planck equation BibRef

Yan, S.[Sixing], Cheung, W.K.[William K.], Chiu, K.[Keith], Tong, T.M.[Terence M.], Cheung, K.C.[Ka Chun], See, S.[Simon],
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation,
MedImg(42), No. 8, August 2023, pp. 2211-2222.
IEEE DOI 2308
Visualization, Radiology, Lung, X-ray imaging, Biomedical imaging, Annotations, Feature extraction, Medical report generation, clinical accuracy BibRef

Lou, J.[Jianxun], Lin, H.[Hanhe], Young, P.[Philippa], White, R.[Richard], Yang, Z.[Zelei], Shelmerdine, S.[Susan], Marshall, D.[David], Spezi, E.[Emiliano], Palombo, M.[Marco], Liu, H.T.[Han-Tao],
Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading,
MultMed(26), 2024, pp. 256-269.
IEEE DOI 2401
BibRef


Li, Y.[Yaowei], Yang, B.[Bang], Cheng, X.[Xuxin], Zhu, Z.H.[Zhi-Hong], Li, H.X.[Hong-Xiang], Zou, Y.X.[Yue-Xian],
Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation,
ICCV23(2851-2862)
IEEE DOI 2401
BibRef

Li, W.R.[Wen-Rui], Sridhar, V.[Venkatesh], Mohan, K.A.[K. Aditya], Singh, S.[Saransh], Forien, J.B.[Jean-Baptiste], Liu, X.[Xin], Buzzard, G.T.[Gregery T.], Bouman, C.A.[Charles A.],
X-Ray Spectral Estimation Using Dictionary Learning,
ICIP23(890-894)
IEEE DOI 2312
BibRef

Wang, Y.H.[Yu-Hao], Wang, K.[Kai], Liu, X.H.[Xiao-Hong], Gao, T.R.[Tian-Run], Zhang, J.[Jingyue], Wang, G.Y.[Guang-Yu],
Self Adaptive Global-Local Feature Enhancement for Radiology Report Generation,
ICIP23(2275-2279)
IEEE DOI 2312
BibRef

Wang, Z.Y.[Zhan-Yu], Liu, L.Q.[Ling-Qiao], Wang, L.[Lei], Zhou, L.P.[Lu-Ping],
METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens,
CVPR23(11558-11567)
IEEE DOI 2309
BibRef

Huang, Z.Z.[Zhong-Zhen], Zhang, X.F.[Xiao-Fan], Zhang, S.T.[Shao-Ting],
KiUT: Knowledge-injected U-Transformer for Radiology Report Generation,
CVPR23(19809-19818)
IEEE DOI 2309
BibRef

Li, M.J.[Ming-Jie], Lin, B.Q.[Bing-Qian], Chen, Z.[Zicong], Lin, H.[Haokun], Liang, X.D.[Xiao-Dan], Chang, X.J.[Xiao-Jun],
Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation,
CVPR23(3334-3343)
IEEE DOI 2309
BibRef

Tanida, T.[Tim], Müller, P.[Philip], Kaissis, G.[Georgios], Rueckert, D.[Daniel],
Interactive and Explainable Region-guided Radiology Report Generation,
CVPR23(7433-7442)
IEEE DOI 2309
BibRef

Wang, J.[Jun], Bhalerao, A.[Abhir], He, Y.L.[Yu-Lan],
Cross-Modal Prototype Driven Network for Radiology Report Generation,
ECCV22(XXXV:563-579).
Springer DOI 2211
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Ma, C.J.[Chun-Jie], Zhuo, L.[Li], Li, J.F.[Jia-Feng], Zhang, Y.T.[Yu-Tong], Zhang, J.[Jing],
Prohibited Object Detection in X-ray Images with Dynamic Deformable Convolution and Adaptive IoU,
ICIP22(3001-3005)
IEEE DOI 2211
Training, Deformable models, Adaptation models, Convolution, Object detection, Benchmark testing, X-ray images, Adaptive IoU BibRef

Cutaia, G.[Giuseppe], Gargano, R.[Rosalia], Cannella, R.[Roberto], Feo, N.[Nicoletta], Greco, A.[Antonio], Merennino, G.[Giuseppe], Nicastro, N.[Nicola], Comelli, A.[Albert], Benfante, V.[Viviana], Salvaggio, G.[Giuseppe], Lo Casto, A.[Antonio],
Radiomics Analyses of Schwannomas in the Head and Neck: A Preliminary Analysis,
AIRCAD22(317-325).
Springer DOI 2208
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Niverty, S.[Sridhar], Torbatissaraf, H.[Hamid], Nikitin, V., de Andrade, V.[Vincent], Niauzorau, S., Kublik, N., Azeredo, B., Tekawade, A., de Carlo, F.[Francesco], Chawla, N.[Nikhilesh],
Computational Imaging in 3D X-Ray Microscopy: Reconstruction, Image Segmentation and Time-Evolved Experiments,
ICIP21(3502-3506)
IEEE DOI 2201
Image segmentation, Temperature distribution, Microscopy, Synchrotrons, Tomography, Convolutional neural networks BibRef

Nam, J.H.[Ju-Hyeon], Lee, S.C.[Sang-Chul],
Frequency Filtering for Data Augmentation in X-Ray Image Classification,
ICIP21(81-85)
IEEE DOI 2201
Location awareness, Deep learning, Fast Fourier transforms, Frequency-domain analysis, Neural networks, Task analysis BibRef

Shedligeri, P.[Prasan], Schiffers, F.[Florian], Barutcu, S.[Semih], Ruiz, P.[Pablo], Katsaggelos, A.K.[Aggelos K.], Cossairt, O.[Oliver],
Improving Acquisition Speed of X-Ray Ptychography Through Spatial Undersampling and Regularization,
ICIP21(2968-2972)
IEEE DOI 2201
Integrated circuits, Tensors, TV, Diffraction, Imaging, X-ray diffraction, Throughput, Ptychography, Phase-retrieval, Automatic Differentiation BibRef

Wang, Z.Y.[Zhan-Yu], Zhou, L.P.[Lu-Ping], Wang, L.[Lei], Li, X.[Xiu],
A Self-boosting Framework for Automated Radiographic Report Generation,
CVPR21(2433-2442)
IEEE DOI 2111
Couplings, Bridges, Visualization, Pattern recognition, Task analysis, Diagnostic radiography BibRef

Liu, F.L.[Feng-Lin], Wu, X.[Xian], Ge, S.[Shen], Fan, W.[Wei], Zou, Y.X.[Yue-Xian],
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation,
CVPR21(13748-13757)
IEEE DOI 2111
Visualization, MIMICs, Neural networks, Radiology, Writing, Pattern recognition BibRef

Yan, S.[Shi], Dong, Y.Q.[Yi-Qiu],
GMM Based Simultaneous Reconstruction and Segmentation in X-ray Ct Application,
SSVM21(503-515).
Springer DOI 2106
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Srinivasan, P.[Preethi], Thapar, D.[Daksh], Bhavsar, A.[Arnav], Nigam, A.[Aditya],
Hierarchical X-ray Report Generation via Pathology Tags and Multi Head Attention,
ACCV20(V:600-616).
Springer DOI 2103
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Hu, B.[Benyi], Zhang, C.[Chi], Wang, L.[Le], Zhang, Q.[Qilin], Liu, Y.H.[Yue-Hu],
Multi-label X-ray Imagery Classification via Bottom-up Attention and Meta Fusion,
ACCV20(VI:173-190).
Springer DOI 2103
BibRef

Wojtas, D.H., Seuring, C., Ayyer, K., Arnal, R.D., Meents, A., Mossou, E., Pena, G., Xavier, P.L., Barthelmess, M., Forsyth, V.T., Barty, A., Chapman, H.N., Millane, R.P.,
Analysis of Fibrous Assembly Orientations from XFEL Diffraction Data,
IVCNZ18(1-6)
IEEE DOI 1902
Diffraction, X-ray diffraction, Liquids, Graphene, X-ray imaging, Imaging, Scattering, X-ray diffraction, XFEL, crystallography, biological system BibRef

Teixeira, B., Singh, V., Chen, T., Ma, K., Tamersoy, B., Wu, Y., Balashova, E., Comaniciu, D.,
Generating Synthetic X-Ray Images of a Person from the Surface Geometry,
CVPR18(9059-9067)
IEEE DOI 1812
X-ray imaging, Task analysis, Training, Image generation, Biomedical imaging. BibRef

Cotte, F., Desvignes, M., Ayasso, H., Vignolle, J.,
A Bayesian Approach for Anti-Scatter Grid Extraction in x-ray Imaging,
ICIP18(1183-1187)
IEEE DOI 1809
Dictionaries, Image edge detection, X-ray imaging, Estimation, Bayes methods, Analytical models, K-SVD BibRef

Wang, B., Yager, K., Yu, D., Hoai, M.,
X-Ray Scattering Image Classification Using Deep Learning,
WACV17(697-704)
IEEE DOI 1609
Feature extraction, Machine learning, Neural networks, Scattering, Training, X-ray imaging, X-ray, scattering BibRef

Bui, M.[Mai], Albarqouni, S.[Shadi], Schrapp, M.[Michael], Navab, N.[Nassir], Ilic, S.[Slobodan],
X-Ray PoseNet: 6 DoF Pose Estimation for Mobile X-Ray Devices,
WACV17(1036-1044)
IEEE DOI 1609
Reconstruction from X-Ray projections. Calibration, Cameras, Image reconstruction, Mobile communication, Pose estimation, Solid modeling, X-ray, imaging BibRef

Landre, V.[Victor], Pedersen, M.[Marius], Waaler, D.[Dag],
Memory Effects in Subjective Quality Assessment of X-Ray Images,
SCIA17(II: 314-325).
Springer DOI 1706
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Khan, S.[Sameer], Yong, S.P.[Suet-Peng], Deng, J.D.[Jeremiah D.],
Ensemble classification with modified SIFT descriptor for medical image modality,
ICVNZ15(1-6)
IEEE DOI 1701
image classification. XRay classification. BibRef

Wojtas, D.[David], Seuring, C.[Carolin], Ayyer, K.[Kartik], Chapman, H.[Henry], Millane, R.[Rick],
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ICVNZ16(1-6)
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Crystals. X-ray diffractions. BibRef

Hosseinian, S., Arefi, H.,
Assessment Of Restoration Methods Of X-ray Images With Emphasis On Medical Photogrammetric Usage,
ISPRS16(B5: 835-840).
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Deligiannis, N., Mota, J.F.C., Cornelis, B., Rodrigues, M.R.D., Daubechies, I.,
X-ray image separation via coupled dictionary learning,
ICIP16(3533-3537)
IEEE DOI 1610
Art BibRef

Matviychuk, Y., Mailhé, B., Chen, X., Wang, Q., Kiraly, A., Strobel, N., Nadar, M.,
Learning a multiscale patch-based representation for image denoising in X-RAY fluoroscopy,
ICIP16(2330-2334)
IEEE DOI 1610
Approximation algorithms BibRef

Yu, Y., Wang, J., Acton, S.T.,
X-ray collimator shutter detection by active-rods,
ICIP16(2350-2354)
IEEE DOI 1610
Blades BibRef

Kim, D.S.[Dong Sik], Kim, E.[Eun], Lee, S.G.[Sang-Gyun],
Performance analysis of the gain correction in radiography imaging,
ICIP14(3641-3645)
IEEE DOI 1502
Biomedical imaging BibRef

Kiapour, M.H.[M. Hadi], Yager, K.[Kevin], Berg, A.C.[Alexander C.], Berg, T.L.[Tamara L.],
Materials discovery: Fine-grained classification of X-ray scattering images,
WACV14(933-940)
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Computer vision BibRef

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ICISP14(503-510).
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Schmidt-Hackenberg, L.[Ludwig], Yousefi, M.R.[Mohammad Reza], Breuel, T.M.[Thomas M.],
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ICPR12(2573-2576).
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Radiotherapy, Radiation Therapy, Radiotherapy Planning, X-Ray Images .


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