| 3 | -- | 7 | Christian Jutten. Beginning a Special Year for Our Society [From the Editor] |
| 5 | -- | 7 | Athina P. Petropulu. Happy New Year to All [President's Message] |
| 13 | -- | 14 | Ahmed H. Tewfik. 2022 IEEE Signal Processing Society 2022 Election Results for Members-at-Large and Regional Directors-at-Large [Society News] |
| 15 | -- | 21 | Joel Acevedo, Al Oppenheim. The Magical Art of Technical Presentations [Perspectives] |
| 22 | -- | 25 | John Edwards. Signal Processing Comes to the Senses: Signal processing is making an impact in taste, sentiment, and touch research [Special Reports] |
| 28 | -- | 30 | Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye. Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor] |
| 32 | -- | 44 | Zhiyuan Zha, Bihan Wen, Xin Yuan 0002, Saiprasad Ravishankar, Jiantao Zhou 0001, Ce Zhu. Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling |
| 45 | -- | 57 | Jonathan Dong, Lorenzo Valzania, Antoine Maillard, Thanh-An Pham, Sylvain Gigan, Michael Unser. Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial |
| 58 | -- | 72 | Jian Zhang, Bin Chen, Ruiqin Xiong, Yongbing Zhang. Physics-Inspired Compressive Sensing: Beyond deep unrolling |
| 73 | -- | 84 | Weisheng Dong, Jinjian Wu, Leida Li, Guangming Shi, Xin Li 0005. Bayesian Deep Learning for Image Reconstruction: From structured sparsity to uncertainty estimation |
| 85 | -- | 97 | Ulugbek S. Kamilov, Charles A. Bouman, Gregery T. Buzzard, Brendt Wohlberg. Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications |
| 98 | -- | 114 | Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya. Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging |
| 115 | -- | 133 | Youzuo Lin, James Theiler, Brendt Wohlberg. Physics-Guided Data-Driven Seismic Inversion: Recent progress and future opportunities in full-waveform inversion |
| 134 | -- | 147 | Dongdong Chen 0004, Mike E. Davies 0001, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb, Ferdia Sherry, Julián Tachella. Imaging With Equivariant Deep Learning: From unrolled network design to fully unsupervised learning |
| 148 | -- | 163 | Zhizhen Zhao, Jong Chul Ye, Yoram Bresler. Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications |
| 164 | -- | 182 | Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb. Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications |
| 183 | -- | 191 | Arman Kheirati Roonizi. Fourier Analysis: A new computing approach [Lecture Notes] |