21.7.3.10 Mammograms, Three Dimensional Analysis, Registration

Fischer, H.[Harald], Otte, M.[Matthias], Ehritt-Braun, C.[Claudia], Laubenberger, J.[Jörg], Hennig, J.[Jürgen],
Local elastic matching and pattern recognition in MR mammography,
IJIST(10), No. 2, 1999, pp. 199-206. BibRef 9900

Yu, S.Y.[Song-Yang], Guan, L.[Ling],
A CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films,
MedImg(19), No. 2, February 2000, pp. 115-126.
IEEE Top Reference. 0110
BibRef

Yam, M., Brady, M., Highnam, R., Behrenbruch, C., English, R., Kita, Y.,
Three-dimensional reconstruction of microcalcification clusters from two mammographic views,
MedImg(20), No. 6, June 2001, pp. 479-489.
IEEE Top Reference. 0110
BibRef

Kita, Y.[Yasuyo], Highnam, R.[Ralph], Brady, M.[Michael],
Correspondence between Different View Breast X Rays Using Curved Epipolar Lines,
CVIU(83), No. 1, July 2001, pp. 38-56.
DOI Link 0108
BibRef
Earlier:
Correspondence Between two Different Views of X-Ray Mammograms Using Simulation of Breast Deformation,
CVPR98(700-707).
IEEE DOI BibRef

Hong, B.W., Brady, M.,
Structural Comparison of Mammograms,
BMVC05(xx-yy).
HTML Version. 0509
BibRef

Samani, A., Bishop, J., Plewes, D.B.,
A constrained modulus reconstruction technique for breast cancer assessment,
MedImg(20), No. 9, September 2001, pp. 877-885.
IEEE Top Reference. 0110
BibRef

Samani, A., Bishop, J., Yaffe, M.J., Plewes, D.B.,
Biomechanical 3-D finite element modeling of the human breast using MRI data,
MedImg(20), No. 4, April 2001, pp. 271-279.
IEEE Top Reference. 0110
BibRef

Chandrasekhar, R., Attikiouzel, Y.,
A simple method for automatically locating the nipple on mammograms,
MedImg(16), No. 5, October 1997, pp. 483-494.
IEEE Top Reference. 0205
BibRef

Kwok, S.M., Chandrasekhar, R., Attikiouzel, Y., Rickard, M.T.,
Automatic Pectoral Muscle Segmentation on Mediolateral Oblique View Mammograms,
MedImg(23), No. 9, September 2004, pp. 1129-1140.
IEEE Abstract. 0409
BibRef

Kwok, S.M.[Sze Man], Chandrasekhar, R., Attikiouzel, Y.,
Automatic assessment of mammographic positioning on the mediolateral oblique view,
ICIP04(I: 151-154).
IEEE DOI 0505
BibRef

Xiao, G.F.[Guo-Fang], Brady, J.M., Noble, J.A., Burcher, M.R., English, R.,
Nonrigid registration of 3-D free-hand ultrasound images of the breast,
MedImg(21), No. 4, April 2002, pp. 405-412.
IEEE Top Reference. 0206
BibRef

Snoeren, P.R., Karssemeijer, N.,
Thickness Correction of Mammographic Images by Means of a Global Parameter Model of the Compressed Breast,
MedImg(23), No. 7, July 2004, pp. 799-806.
IEEE Abstract. 0407
BibRef

van Engeland, S., Snoeren, P., Hendriks, J.[Jan], Karssemeijer, N.,
A comparison of methods for mammogram registration,
MedImg(22), No. 11, November 2003, pp. 1436-1444.
IEEE Abstract. 0311
BibRef

van Engeland, S., Snoeren, P.R., Huisman, H., Boetes, C., Karssemeijer, N.,
Volumetric breast density estimation from full-field digital mammograms,
MedImg(25), No. 3, March 2006, pp. 273-282.
IEEE DOI 0604
BibRef

Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L.G., Leach, M.O., Hawkes, D.J.,
Nonrigid registration using free-form deformations: Application to breast MR images,
MedImg(18), No. 8, August 1999, pp. 712-721.
IEEE Top Reference. 0110
BibRef

Jiang, H.[Huabei], Xu, Y.[Yong], Iftimia, N., Eggert, J., Klove, K., Baron, L., Fajardo, L.,
Three-dimensional optical tomographic imaging of breast in a human subject,
MedImg(20), No. 12, December 2001, pp. 1334-1340.
IEEE Top Reference. 0201
BibRef

Huo, Z.M.[Zhi-Min], Giger, M.L., Vyborny, C.J.,
Computerized analysis of multiple-mammographic views: potential usefulness of special view mammograms in computer-aided diagnosis,
MedImg(20), No. 12, December 2001, pp. 1285-1292.
IEEE Top Reference. 0201
BibRef

Ferrari, R.J., Rangayyan, R.M., Desautels, J.E.L., Frere, A.F.,
Analysis of asymmetry in mammograms via directional filtering with gabor wavelets,
MedImg(20), No. 9, September 2001, pp. 953-964.
IEEE Top Reference. 0110
BibRef

Cherepenin, V.A., Karpov, A.Y., Korjenevsky, A.V., Kornienko, V.N., Kultiasov, Y.S., Ochapkin, M.B., Trochanova, O.V., Meister, J.D.,
Three-dimensional EIT imaging of breast tissues: System Design and Clinical Testing,
MedImg(21), No. 6, June 2002, pp. 662-667.
IEEE Top Reference. 0208
BibRef

Mello-Thoms, C., Dunn, S.M., Nodine, C.F., Kundel, H.L.,
The perception of breast cancers: A spatial frequency analysis of what differentiates missed from reported cancers,
MedImg(22), No. 10, October 2003, pp. 1297-1306.
IEEE Abstract. 0310
BibRef

Richard, F.J.P.[Frédéric J. P.], Cohen, L.D.[Laurent D.],
A New Image Registration Technique with Free Boundary Constraints: Application to Mammography,
CVIU(89), No. 2-3, February-March 2003, pp. 166-196.
Elsevier DOI
WWW Link. 0304
BibRef
Earlier: ECCV02(IV: 531 ff.).
Springer DOI
WWW Link. 0205
BibRef

Schnabel, J.A., Tanner, C., Castellano-Smith, A.D., Degenhard, A., Leach, M.O., Hose, D.R., Hill, D.L.G., Hawkes, D.J.,
Validation of nonrigid image registration using finite-element methods: application to breast MR images,
MedImg(22), No. 2, February 2003, pp. 238-247.
IEEE Top Reference. 0304
BibRef

Piron, C.A., Causer, P., Jong, R., Shumak, R., Plewes, D.B.,
A hybrid breast biopsy system combining ultrasound and MRI,
MedImg(22), No. 9, September 2003, pp. 1100-1110.
IEEE Abstract. 0309
BibRef

Chung, P.C.[Pau-Choo], Lo, C.S.[Chien-Shun], Chang, C.I.[Chein-I], Lee, S.K.[San-Kan], Yang, C.W.[Ching-Wen],
3-D localization of clustered microcalcifications using cranio-caudal and medio-lateral oblique view,
US_Patent6,614,921, Sep 2, 2003
WWW Link. BibRef 0309

Georgiou, G., Cohen, F.S.,
Is early detection of liver and breast cancers from ultrasound scans possible?,
PRL(24), No. 4-5, February 2003, pp. 729-739.
Elsevier DOI 0211
BibRef

Kutay, M.A.[M. Alper], Petropulu, A.P.[Athina P.], Piccoli, C.W.[Catherine W.],
Breast tissue characterization based on modeling of ultrasonic echoes using the power-law shot noise model,
PRL(24), No. 4-5, February 2003, pp. 741-756.
Elsevier DOI 0211
BibRef

Rohlfing, T., Maurer, Jr., C.R., Bluemke, D.A., Jacobs, M.A.,
Volume-preserving nonrigid registration of MR breast images using free-form deformation with an incompressibility constraint,
MedImg(22), No. 6, June 2003, pp. 730-741.
IEEE Abstract. 0308
BibRef

Ferrari, R.J., Rangayyan, R.M., Desautels, J.E.L., Borges, R.A., Frere, A.F.,
Automatic Identification of the Pectoral Muscle in Mammograms,
MedImg(23), No. 2, February 2004, pp. 232-245.
IEEE Abstract. 0403
BibRef

Banik, S., Rangayyan, R.M., Desautels, J.E.L.,
Detection of Architectural Distortion in Prior Mammograms,
MedImg(30), No. 2, February 2011, pp. 279-294.
IEEE DOI 1102
BibRef

Zhong, J.M.[Jun-Mei], Ning, R.[Ruola], Conover, D.,
Image Denoising Based on Multiscale Singularity Detection for Cone Beam CT Breast Imaging,
MedImg(23), No. 6, June 2004, pp. 696-703.
IEEE Abstract. 0406
BibRef

Zhong, J.M.[Jun-Mei], Ning, R.[Ruola],
Image denoising based on wavelets and multifractals for singularity detection,
IP(14), No. 10, October 2005, pp. 1435-1447.
IEEE DOI 0402
BibRef

Marias, K., Behrenbruch, C., Parbhoo, S., Seifalian, A., Brady, M.,
A Registration Framework for the Comparison of Mammogram Sequences,
MedImg(24), No. 6, June 2005, pp. 782-790.
IEEE Abstract. 0506
BibRef

Brzymialkiewicz, C.N., Tornai, M.P., McKinley, R.L., Bowsher, J.E.,
Evaluation of fully 3-D emission mammotomography with a compact cadmium zinc telluride detector,
MedImg(24), No. 7, July 2005, pp. 868-877.
IEEE DOI 0508
BibRef

Richard, F.J.P., Bakic, P.R., Maidment, A.D.A.,
Mammogram Registration: A Phantom-Based Evaluation of Compressed Breast Thickness Variation Effects,
MedImg(25), No. 2, February 2006, pp. 188-197.
IEEE DOI 0602
BibRef

Bakic, P.R.[Predrag R.], Richard, F.J.P.[Frederic J. P.], Maidment, A.D.A.[Andrew D. A.],
2D-to-3D X-Ray Breast Image Registration,
WBIR06(84-91).
Springer DOI 0607
BibRef

Megalooikonomou, V., Barnathan, M., Kontos, D., Bakic, P.R., Maidment, A.D.A.[Andrew D. A.],
A Representation and Classification Scheme for Tree-Like Structures in Medical Images: Analyzing the Branching Pattern of Ductal Trees in X-ray Galactograms,
MedImg(28), No. 4, April 2009, pp. 487-493.
IEEE DOI 0904
BibRef

El-Shenawee, M., Miller, E.L.,
Spherical Harmonics Microwave Algorithm for Shape and Location Reconstruction of Breast Cancer Tumor,
MedImg(25), No. 10, October 2006, pp. 1258-1271.
IEEE DOI 0609
BibRef

Miller, E.L., Willsky, A.S.,
A multiscale, decision-theoretic algorithm for anomaly detection in images based upon scattered radiation,
ICIP94(I: 845-849).
IEEE DOI 9411
BibRef

Hipwell, J.H.[John H.], Tanner, C.[Christine], Crum, W.R.[William R.], Schnabel, J.A., Hawkes, D.J.[David J.],
A New Validation Method for X-ray Mammogram Registration Algorithms Using a Projection Model of Breast X-ray Compression,
MedImg(26), No. 9, September 2007, pp. 1190-1200.
IEEE DOI 0710
BibRef
Earlier: A1, A2, A3, A5, Only:
New Validation Method for Establishing Correspondence Between Pairs of X-Ray Mammograms,
MMBIA06(70).
IEEE DOI 0609

See also Intensity-based 2-D-3-D registration of cerebral angiograms. BibRef

Crum, W.R.[William R.],
Spectral Clustering and Label Fusion For 3D Tissue Classification: Sensitivity and Consistency Analysis,
BMVA(2009), No. 6, 2009, pp. 1-12.
PDF File. 1209
BibRef

Kale, M.C., Clymer, B.D., Koch, R.M., Heverhagen, J.T., Sammet, S., Stevens, R., Knopp, M.V.,
Multispectral Co-Occurrence With Three Random Variables in Dynamic Contrast Enhanced Magnetic Resonance Imaging of Breast Cancer,
MedImg(27), No. 10, October 2008, pp. 1425-1431.
IEEE DOI 0810
BibRef

Badano, A., Kyprianou, I.S., Freed, M., Jennings, R.J., Sempau, J.,
Effect of Oblique X-ray Incidence in Flat-Panel Computed Tomography of the Breast,
MedImg(28), No. 5, May 2009, pp. 696-702.
IEEE DOI 0905
BibRef

Badal, A., Kyprianou, I., Banh, D.P., Badano, A., Sempau, J.,
penMesh: Monte Carlo Radiation Transport Simulation in a Triangle Mesh Geometry,
MedImg(28), No. 12, December 2009, pp. 1894-1901.
IEEE DOI 0912
BibRef

Winters, D.W., Shea, J.D., Kosmas, P., van Veen, B.D., Hagness, S.C.,
Three-Dimensional Microwave Breast Imaging: Dispersive Dielectric Properties Estimation Using Patient-Specific Basis Functions,
MedImg(28), No. 7, July 2009, pp. 969-981.
IEEE DOI 0906
BibRef

Demidenko, E.[Eugene],
Statistical Hypothesis Testing For Postreconstructed And Postregistered Medical Images,
SIIMS(2), No. 4, 2009, pp. 1049-1067.
WWW Link.
DOI Link 1004
breast cancer detection; computed tomography; magnetic resonance imaging; near infrared; confidence eigenimage; image covariance matrix; image comparison; tumor detection BibRef

Yoon, S.J.[Se-Jong], Kim, S.J.[Sae-Joon],
Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms,
PRL(30), No. 16, 1 December 2009, pp. 1489-1495.
Elsevier DOI 0911
Digital mammography; CADx; Feature selection; SVM-RFE; Mutual information; Correlation BibRef

Chung, J.[Julianne], Nagy, J.G.[James G.], Sechopoulos, I.[Ioannis],
Numerical Algorithms For Polyenergetic Digital Breast Tomosynthesis Reconstruction,
SIIMS(3), No. 1, 2010, pp. 133-152.
WWW Link.
DOI Link 1004
digital tomosynthesis; iterative methods; beam hardening artifacts; breast imaging; mammography; reconstruction BibRef

Carpenter, C.M., Pogue, B.W., Jiang, S., Wang, J., Hargreaves, B.A., Rakow-Penner, R., Daniel, B.L., Paulsen, K.D.,
MR Water Quantitative Priors Improves the Accuracy of Optical Breast Imaging,
MedImg(30), No. 1, January 2011, pp. 159-168.
IEEE DOI 1101
BibRef

Das, M., Gifford, H.C., O'Connor, J.M., Glick, S.J.,
Penalized Maximum Likelihood Reconstruction for Improved Microcalcification Detection in Breast Tomosynthesis,
MedImg(30), No. 4, April 2011, pp. 904-914.
IEEE DOI 1104
BibRef

Samulski, M., Karssemeijer, N.,
Optimizing Case-Based Detection Performance in a Multiview CAD System for Mammography,
MedImg(30), No. 4, April 2011, pp. 1001-1009.
IEEE DOI 1104
BibRef

Dapore, A.J., King, M.R., Harter, J., Sarwate, S., Oelze, M.L., Zagzebski, J.A., Do, M.N., Hall, T.J., O'Brien, W.D.,
Analysis of Human Fibroadenomas Using Three-Dimensional Impedance Maps,
MedImg(30), No. 6, June 2011, pp. 1206-1213.
IEEE DOI 1101
BibRef

Brandt, S.S., Karemore, G., Karssemeijer, N., Nielsen, M.,
An Anatomically Oriented Breast Coordinate System for Mammogram Analysis,
MedImg(30), No. 10, October 2011, pp. 1841-1851.
IEEE DOI 1110
BibRef

Grzegorczyk, T.M., Meaney, P.M., Kaufman, P.A., diFlorio-Alexander, R.M., Paulsen, K.D.,
Fast 3-D Tomographic Microwave Imaging for Breast Cancer Detection,
MedImg(31), No. 8, August 2012, pp. 1584-1592.
IEEE DOI 1208
BibRef

Hachama, M.[Mohamed], Desolneux, A.[Agnès], Richard, F.J.P.[Frédéric J.P.],
Bayesian Technique for Image Classifying Registration,
IP(21), No. 9, September 2012, pp. 4080-4091.
IEEE DOI 1208
BibRef
Earlier:
Combining Registration and Abnormality Detection in Mammography,
WBIR06(178-185).
Springer DOI 0607
BibRef

Schäfer, S.[Sebastian], Preim, U.[Uta], Glaßer, S.[Sylvia], Preim, B.[Bernhard], Tönnies, K.[Klaus],
Local similarity measures for lesion registration in DCE-MRI of the breast,
BMVA(2011), No. 3, 2011, pp. 1-13.
PDF File. 1209
BibRef

Baluwala, H.Y.[Habib Y.], Saddi, K.A.[Kinda A.], Schnabel, J.A.[Julia A.],
Non-rigid chest image registration with preservation of topology and rigid structures,
BMVA(2011), No. 4, 2011, pp. 1-15.
PDF File. 1209
BibRef

Yang, G.[Guang], Hipwell, J.H.[John H.], Hawkes, D.J.[David J.], Arridge, S.R.[Simon R.],
Numerical Methods for Coupled Reconstruction and Registration in Digital Breast Tomosynthesis,
BMVA(2013), No. 1, 2013, pp. 8, 1-38.
PDF File. 1304
BibRef

van Schie, G., Mann, R., Imhof-Tas, M., Karssemeijer, N.,
Generating Synthetic Mammograms From Reconstructed Tomosynthesis Volumes,
MedImg(32), No. 12, 2013, pp. 2322-2331.
IEEE DOI 1312
Breast Cancer BibRef

Top, C.B., Gencer, N.G.,
Harmonic Motion Microwave Doppler Imaging: A Simulation Study Using a Simple Breast Model,
MedImg(33), No. 2, February 2014, pp. 290-300.
IEEE DOI 1403
Doppler measurement BibRef

Lakshmanan, M.N., Harrawood, B.P., Agasthya, G.A., Kapadia, A.J.,
Simulations of Breast Cancer Imaging Using Gamma-Ray Stimulated Emission Computed Tomography,
MedImg(33), No. 2, February 2014, pp. 546-555.
IEEE DOI 1403
Monte Carlo methods BibRef

Han, L.[Lianghao], Hipwell, J.H., Eiben, B., Barratt, D., Modat, M., Ourselin, S., Hawkes, D.J.,
A Nonlinear Biomechanical Model Based Registration Method for Aligning Prone and Supine MR Breast Images,
MedImg(33), No. 3, March 2014, pp. 682-694.
IEEE DOI 1404
biomechanics BibRef

Botterill, T., Lotz, T., Kashif, A., Chase, J.G.,
Reconstructing 3-D Skin Surface Motion for the DIET Breast Cancer Screening System,
MedImg(33), No. 5, May 2014, pp. 1109-1118.
IEEE DOI 1405
Breast cancer BibRef

Boucher, A.[Arnaud],
Registration and analysis for images couple: Application to mammograms,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
DOI Link 1407
Ph.D.. Thesis. BibRef

Zhang, X.L.[Xiao-Lin], Wang, W.[Wei], Sze, G., Barber, D., Chatwin, C.,
An Image Reconstruction Algorithm for 3-D Electrical Impedance Mammography,
MedImg(33), No. 12, December 2014, pp. 2223-2241.
IEEE DOI 1412
biological tissues BibRef

Muralidhar, G.S., Bovik, A.C., Markey, M.K.,
Disparity Estimation on Stereo Mammograms,
IP(24), No. 9, September 2015, pp. 2851-2863.
IEEE DOI 1506
Computational modeling BibRef

Bevacqua, M.T., Scapaticci, R.,
A Compressive Sensing Approach for 3D Breast Cancer Microwave Imaging With Magnetic Nanoparticles as Contrast Agent,
MedImg(35), No. 2, February 2016, pp. 665-673.
IEEE DOI 1602
Breast BibRef

Park, S., Zhang, G., Myers, K.J.,
Comparison of Channel Methods and Observer Models for the Task-Based Assessment of Multi-Projection Imaging in the Presence of Structured Anatomical Noise,
MedImg(35), No. 6, June 2016, pp. 1431-1442.
IEEE DOI 1606
Breast BibRef

Jiang, Z.Q.[Zheng-Qiang], Das, M.[Mini], Gifford, H.C.[Howard C.],
Analyzing visual-search observers using eye-tracking data for digital breast tomosynthesis images,
JOSA-A(34), No. 6, June 2017, pp. 838-845.
DOI Link 1706
Image analysis, X-ray imaging, Vision-eye, movements BibRef

Carneiro, G., Nascimento, J., Bradley, A.P.,
Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning,
MedImg(36), No. 11, November 2017, pp. 2355-2365.
IEEE DOI 1711
Breast, Cancer, Lesions, Machine learning, Mammography, Training, Deep learning, mammogram, multi-view classification, transfer, learning BibRef

Akhtar, Y.[Yusuf], Mukherjee, D.P.[Dipti Prasad],
Reconstruction of three-dimensional linear structures in the breast from craniocaudal and mediolateral oblique mammographic views,
IET-IPR(11), No. 11, November 2017, pp. 1114-1121.
DOI Link 1711
BibRef

Akhtar, Y.[Yusuf], Mukherjee, D.P.[Dipti Prasad],
Detection of architectural distortion from the ridges in a digitized mammogram,
SIViP(12), No. 7, October 2018, pp. 1285-1292.
WWW Link. 1809
BibRef

Borges, L.R., Guerrero, I., Bakic, P.R., Foi, A., Maidment, A.D.A., Vieira, M.A.C.,
Method for Simulating Dose Reduction in Digital Breast Tomosynthesis,
MedImg(36), No. 11, November 2017, pp. 2331-2342.
IEEE DOI 1711
Biomedical imaging, Breast, Calibration, Estimation, Image reconstruction, Signal to noise ratio, Standards, Electronic noise, digital breast tomosynthesis, dose reduction, quantum, noise BibRef

Makeev, A., Glick, S.J.,
Low-Dose Contrast-Enhanced Breast CT Using Spectral Shaping Filters: An Experimental Study,
MedImg(36), No. 12, December 2017, pp. 2417-2423.
IEEE DOI 1712
Breast, Computed tomography, Image reconstruction, Iodine, Observers, Phantoms, X-ray imaging, Contrast-enhanced Breast CT, X-ray filter BibRef

Zheng, J., Fessler, J.A., Chan, H.P.,
Detector Blur and Correlated Noise Modeling for Digital Breast Tomosynthesis Reconstruction,
MedImg(37), No. 1, January 2018, pp. 116-127.
IEEE DOI 1801
biological tissues, computerised tomography, covariance matrices, image reconstruction, iterative methods, model-based iterative reconstruction BibRef

Wang, H.Y.[Hong-Yu], Feng, J.[Jun], Zhang, Z.Z.[Zi-Zhao], Su, H.[Hai], Cui, L.[Lei], He, H.[Hua], Liu, L.[Li],
Breast mass classification via deeply integrating the contextual information from multi-view data,
PR(80), 2018, pp. 42-52.
Elsevier DOI 1805
Mass classification, Multi-view, Mammography, Convolutional Neural Networks, Recurrent Neural Networks BibRef

Baran, P., Mayo, S., McCormack, M., Pacilè, S., Tromba, G., Dullin, C., Zanconati, F., Arfelli, F., Dreossi, D., Fox, J., Prodanovic, Z., Cholewa, M., Quiney, H., Dimmock, M., Nesterets, Y., Thompson, D., Brennan, P., Gureyev, T.,
High-Resolution X-Ray Phase-Contrast 3-D Imaging of Breast Tissue Specimens as a Possible Adjunct to Histopathology,
MedImg(37), No. 12, December 2018, pp. 2642-2650.
IEEE DOI 1812
X-ray imaging, Australia, Breast tissue, Breast cancer, Computed tomography, Computed tomography, histology BibRef

Samala, R.K., Chan, H., Hadjiiski, L., Helvie, M.A., Richter, C.D., Cha, K.H.,
Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets,
MedImg(38), No. 3, March 2019, pp. 686-696.
IEEE DOI 1903
Breast, Task analysis, Training, Biomedical imaging, Cancer, Training data, Breast cancer, computer-aided diagnosis, transfer learning BibRef

Rana, S., Hampson, R., Dobie, G.,
Breast Cancer: Model Reconstruction and Image Registration From Segmented Deformed Image Using Visual and Force Based Analysis,
MedImg(39), No. 5, May 2020, pp. 1295-1305.
IEEE DOI 2005
Strain, Image reconstruction, Cameras, Breast, Surface reconstruction, Force, force deformation BibRef

Gao, M.J.[Ming-Jie], Fessler, J.A.[Jeffrey A.], Chan, H.P.[Heang-Ping],
Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images,
MedImg(40), No. 7, July 2021, pp. 1805-1816.
IEEE DOI 2107
Training, Noise measurement, Noise reduction, Breast, Image reconstruction, Phantoms, X-ray imaging, microcalcification BibRef

Jiang, G.F.[Gong-Fa], Wei, J.[Jun], Xu, Y.S.[Yue-Sheng], He, Z.L.[Zi-Long], Zeng, H.[Hui], Wu, J.F.[Jie-Fang], Qin, G.G.[Geng-Geng], Chen, W.G.[Wei-Guo], Lu, Y.[Yao],
Synthesis of Mammogram From Digital Breast Tomosynthesis Using Deep Convolutional Neural Network With Gradient Guided cGANs,
MedImg(40), No. 8, August 2021, pp. 2080-2091.
IEEE DOI 2108
Image edge detection, generative adversarial networks, Biomedical imaging, Linear programming, Mammography BibRef

Zhou, L.[Lei], Wang, S.[Shuai], Sun, K.[Kun], Zhou, T.[Tao], Yan, F.[Fuhua], Shen, D.G.[Ding-Gang],
Three-dimensional affinity learning based multi-branch ensemble network for breast tumor segmentation in MRI,
PR(129), 2022, pp. 108723.
Elsevier DOI 2206
Breast tumor segmentation, Three-dimensional affinity learning based refinement, Multi-branch ensemble network BibRef

Wang, S.J.[Shi-Jie], Liu, H.Q.[Hua-Qing], Yang, T.[Tao], Huang, M.Q.[Ming-Quan], Zheng, B.W.[Bo-Wen], Wu, T.[Tao], Han, L.Q.[Lan-Qing], Zhang, Y.[Yong], Ren, J.[Jie],
Machine learning based on automated breast volume scanner (ABVS) radiomics for differential diagnosis of benign and malignant BI-RADS 4 lesions,
IJIST(32), No. 5, 2022, pp. 1577-1587.
DOI Link 2209
automated breast volume scanner, breast neoplasms, machine learning, radiomics BibRef

Li, Z.J.[Zhi-Jin], Carton, A.K.[Ann-Katherine], Muller, S.[Serge], Almecija, T.[Thomas], de Carvalho, P.M.[Pablo Milioni], Desolneux, A.[Agnès],
A 3D Mathematical Breast Texture Model With Parameters Automatically Inferred From Clinical Breast CT Images,
MedImg(42), No. 4, April 2023, pp. 1107-1120.
IEEE DOI 2304
Breast, Mathematical models, Computed tomography, Ellipsoids, Solid modeling, Phantoms, statistical parameter inference BibRef

Deng, B.[Bin], Gu, H.[Hanxue], Zhu, H.M.[Hong-Min], Chang, K.[Ken], Hoebel, K.V.[Katharina V.], Patel, J.B.[Jay B.], Kalpathy-Cramer, J.[Jayashree], Carp, S.A.[Stefan A.],
FDU-Net: Deep Learning-Based Three-Dimensional Diffuse Optical Image Reconstruction,
MedImg(42), No. 8, August 2023, pp. 2439-2450.
IEEE DOI 2308
Image reconstruction, Optical imaging, Phantoms, Mathematical models, Breast, breast cancer BibRef

Ren, Y.[Yinhao], Liu, X.[Xuan], Ge, J.[Jun], Liang, Z.S.[Zi-Sheng], Xu, X.M.[Xiao-Ming], Grimm, L.J.[Lars J.], Go, J.[Jonathan], Marks, J.R.[Jeffrey R.], Lo, J.Y.[Joseph Y.],
Ipsilateral Lesion Detection Refinement for Tomosynthesis,
MedImg(42), No. 10, October 2023, pp. 3080-3090.
IEEE DOI 2310
BibRef

Komolafe, T.E.[Temitope Emmanuel], Tian, Y.[Yuchi], Awoniya, O.J.[Olanrewaju James], Chen, S.Q.[Shuang-Qing], Yang, X.D.[Xiao-Dong],
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breast cancer, cone-beam breast computed tomography, digital breast tomosynthesis, image quality assessment, reconstruction algorithm BibRef

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VBVT-Net: VOI-Based VVBP-Tensor Network for High-Attenuation Artifact Suppression in Digital Breast Tomosynthesis Imaging,
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IEEE DOI 2504
Imaging, Image reconstruction, Detectors, Biomedical imaging, Trajectory, Tensors, Filtering, Reconstruction algorithms, Noise, view-by-view backprojection tensor BibRef

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Breast Anatomy Enriched Tumor Saliency Estimation,
ICPR21(2904-2911)
IEEE DOI 2105
Image segmentation, Ultrasonic imaging, Semantics, Neural networks, Estimation, Breast cancer, Semantic breast anatomy BibRef

Liu, Y., Zhang, F., Zhang, Q., Wang, S., Wang, Y., Yu, Y.,
Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection,
CVPR20(3811-3821)
IEEE DOI 2008
Bipartite graph, Visualization, Cognition, Breast, Mammography, Muscles, Image edge detection BibRef

Rampun, A., Wang, H., Scotney, B., Morrow, P., Zwiggelaar, R.,
Confidence Analysis for Breast Mass Image Classification,
ICIP18(2072-2076)
IEEE DOI 1809
Breast, Measurement, Cancer, Radio frequency, Shape, Reliability, Support vector machines, Confidence Level, Machine Learning BibRef

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Springer DOI 1706
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Bessa, S.[Sílvia], Zolfagharnasab, H.[Hooshiar], Pereira, E.[Eduardo], Oliveira, H.P.[Hélder P.],
Prediction of Breast Deformities: A Step Forward for Planning Aesthetic Results After Breast Surgery,
IbPRIA17(267-276).
Springer DOI 1706
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Zolfagharnasab, H.[Hooshiar], Monteiro, J.P.[João P.], Teixeira, J.F.[João F.], Borlinhas, F.[Filipa], Oliveira, H.P.[Hélder P.],
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Springer DOI 1706
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Islam, M.T.,
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IVPR17(1-2)
IEEE DOI 1704
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Springer DOI 1711
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Gallo, G.[Giovanni], Allegra, D.[Dario], Atani, Y.G.[Yaser Gholizade], Milotta, F.L.M.[Filippo L. M.], Stanco, F.[Filippo], Catanuto, G.[Giuseppe],
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Moreira, R.[Rita], Magalhães, A.[André], Oliveira, H.P.[Hélder P.],
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ICIP15(252-256)
IEEE DOI 1512
Digital breast tomosynthesis; ipsilateral view; region matching BibRef

Kim, D.H.[Dae Hoe], Kim, S.T.[Seong Tae], Baddar, W.J.[Wissam J.], Ro, Y.M.[Yong Man],
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ICIP15(4521-4524)
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Digital breast tomosynthesis BibRef

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ICIP14(3557-3561)
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Biomedical image processing BibRef

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Protuberance Selection descriptor for breast cancer diagnosis,
EUVIP11(280-285).
IEEE DOI 1110
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Cerneaz, N., Brady, M.,
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Highnam, R., Brady, M., Shepstone, B.,
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Lungs, and Lung Cancer Image Analysis .