20.7.2.10 Mammograms, Three Dimensional Analysis, Registration

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.[Zizhao], 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

Xu, F.[Fei], Zhang, Y.T.[Ying-Tao], Cheng, H.D., Ding, J.R.[Jian-Rui], Zhang, B.[Boyu], Ning, C.P.[Chun-Ping], Wang, Y.[Ying],
Breast Anatomy Enriched Tumor Saliency Estimation,
ICPR21(2904-2911)
IEEE DOI 2105
Image segmentation, Ultrasonic imaging, Semantics, Neural networks, Estimation, Breast cancer, Pattern recognition, 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