Content Gazette - December 2020 - 20

OCTOBER 2020

VOLUME 14

NUMBER 6

IJSTGY

(ISSN 1932-4553)

ISSUE ON DOMAIN ENRICHED LEARNING FOR MEDICAL IMAGING
EDITORIAL

Introduction to the Issue on Domain Enriched Learning for Medical Imaging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . V. Monga, S. T. Acton, A. Mu˜noz-Barrutia, A. K. Seghouane, and J. C. Ye

1068

SPECIAL ISSUE PAPERS

Prior-Guided Image Reconstruction for Accelerated Multi-Contrast MRI via Generative Adversarial Networks . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. U.H. Dar, M. Yurt, M. Shahdloo, M. E. Ildız, B. Tınaz, and T. C
¸ ukur
RARE: Image Reconstruction Using Deep Priors Learned Without Groundtruth . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Liu, Y. Sun, C. Eldeniz, W. Gan, H. An, and U. S. Kamilov
PET Image Reconstruction Using a Cascading Back-Projection Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Q. Zhang, J. Gao, Y. Ge, N. Zhang, Y. Yang, X. Liu, H. Zheng, D. Liang, and Z. Hu
Unsupervised Training of Denoisers for Low-Dose CT Reconstruction Without Full-Dose Ground Truth . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . K. Kim, S. Soltanayev, and S. Y. Chun
Enhanced Deep-Learning-Based Magnetic Resonance Image Reconstruction by Leveraging Prior Subject-Specific Brain
Imaging: Proof-of-Concept Using a Cohort of Presumed Normal Subjects. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .R. Souza, Y. Beauferris, W. Loos, R. M. Lebel, and R. Frayne
StatNet: Statistical Image Restoration for Low-Dose CT using Deep Learning . . . . . . . . . . . K. Choi, J. S. Lim, and S. Kim
J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . H. K. Aggarwal and M. Jacob
SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Z. Wu, Y. Sun, A. Matlock, J. Liu, L. Tian, and U. S. Kamilov
Multimodal MR Image Synthesis Using Gradient Prior and Adversarial Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . X. Liu, A. Yu, X. Wei, Z. Pan, and J. Tang
BB-UNet: U-Net With Bounding Box Prior . . . . . . . . . . . . . . . . . . . . . R. E. Jurdi, C. Petitjean, P. Honeine, and F. Abdallah
Unsupervised Mitochondria Segmentation in EM Images via Domain Adaptive Multi-Task Learning . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. Peng, J. Yi, and Z. Yuan
A Domain Enriched Deep Learning Approach to Classify Atherosclerosis Using Intravascular Ultrasound Imaging . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. L. Olender, L. S. Athanasiou, L. K. Michalis, D. I. Fotiadis, and E. R. Edelman
Learning to Segment Brain Anatomy From 2D Ultrasound With Less Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . J. M. Jose Valanarasu, R. Yasarla, P. Wang, I. Hacihaliloglu, and V. M. Patel
Cardiac MRI Segmentation With a Dilated CNN Incorporating Domain-Specific Constraints . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . G. Simantiris and G. Tziritas
Data-Adaptive Similarity Measures for B-mode Ultrasound Images Using Robust Noise Models . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . N. Ouzir, E. Ollila, and S. A. Vorobyov

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(Contents Continued on Page 1067)

www.signalprocessingsociety.org

20 DECEMBER 2020


https://signalprocessingsociety.org/ https://ieeexplore.ieee.org/document/9205331 https://ieeexplore.ieee.org/document/9115255 https://ieeexplore.ieee.org/document/9103213 https://ieeexplore.ieee.org/document/9103967 https://ieeexplore.ieee.org/document/9134374 https://ieeexplore.ieee.org/document/9113253 https://ieeexplore.ieee.org/document/9103190 https://ieeexplore.ieee.org/document/9122388 https://ieeexplore.ieee.org/document/9107406 https://ieeexplore.ieee.org/document/9153921 https://ieeexplore.ieee.org/document/9113460 https://ieeexplore.ieee.org/document/9127119 https://ieeexplore.ieee.org/document/9116990 https://ieeexplore.ieee.org/document/9113237 https://ieeexplore.ieee.org/document/9153905 https://ieeexplore.ieee.org/document/9115251 http://www.signalprocessingsociety.org

Content Gazette - December 2020

Table of Contents for the Digital Edition of Content Gazette - December 2020

Content Gazette - December 2020 - Cover1
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Content Gazette - December 2020 - 1
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Content Gazette - December 2020 - Cover3
Content Gazette - December 2020 - Cover4
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