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Publication search results
found 29 matches
- 2024
- Gaik Ambartsoumian, Mohammad Javad Latifi Jebelli, Rohit Kumar Mishra:
Numerical Implementation of Generalized V-Line Transforms on 2D Vector Fields and their Inversions. SIAM J. Imaging Sci. 17(1): 595-631 (2024) - Lili Bao, Jiahao Lu, Shihui Ying, Stefan Sommer:
Sliding at First-Order: Higher-Order Momentum Distributions for Discontinuous Image Registration. SIAM J. Imaging Sci. 17(2): 861-887 (2024) - HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell:
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruptions. SIAM J. Imaging Sci. 17(1): 225-247 (2024) - Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola-Bibiane Schönlieb, Xiaoqun Zhang:
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems. SIAM J. Imaging Sci. 17(2): 820-860 (2024) - Qiguang Chen, Zhiwen Li, Lok Ming Lui:
A Deep Learning Framework for Diffeomorphic Mapping Problems via Quasi-conformal Geometry Applied to Imaging. SIAM J. Imaging Sci. 17(1): 501-539 (2024) - Vladimir Druskin, Shari Moskow, Mikhail Zaslavsky:
Reduced Order Modeling Inversion of Monostatic Data in a Multi-scattering Environment. SIAM J. Imaging Sci. 17(1): 334-350 (2024) - Antonio Corbo Esposito, Luisa Faella, Gianpaolo Piscitelli, Vincenzo Mottola, Ravi Prakash, Antonello Tamburrino:
The \(\boldsymbol{{p}_0}\)-Laplace "Signature" for Quasilinear Inverse Problems. SIAM J. Imaging Sci. 17(1): 351-388 (2024) - Luzia N. Felber, Helmut Harbrecht, Marc Schmidlin:
Identification of Sparsely Representable Diffusion Parameters in Elliptic Problems. SIAM J. Imaging Sci. 17(1): 61-90 (2024) - Julien Flamant, Konstantin Usevich, Marianne Clausel, David Brie:
Polarimetric Fourier Phase Retrieval. SIAM J. Imaging Sci. 17(1): 632-671 (2024) - Zunwei Fu, Yan Lin, Dachun Yang, Shuhui Yang:
Fractional Fourier Transforms Meet Riesz Potentials and Image Processing. SIAM J. Imaging Sci. 17(1): 476-500 (2024) - Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar:
Learning Sparsity-Promoting Regularizers Using Bilevel Optimization. SIAM J. Imaging Sci. 17(1): 31-60 (2024) - Alexis Goujon, Sebastian Neumayer, Michael Unser:
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms. SIAM J. Imaging Sci. 17(1): 91-115 (2024) - Siddharth Srinivasan Iyer, Frank Ong, Xiaozhi Cao, Congyu Liao, Luca Daniel, Jonathan I. Tamir, Kawin Setsompop:
Polynomial Preconditioners for Regularized Linear Inverse Problems. SIAM J. Imaging Sci. 17(1): 116-146 (2024) - Fan Jia, Shen Mao, Xue-Cheng Tai, Tieyong Zeng:
A Variational Model for Nonuniform Low-Light Image Enhancement. SIAM J. Imaging Sci. 17(1): 1-30 (2024) - Bangti Jin, Xiyao Li, Qimeng Quan, Zhi Zhou:
Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks. SIAM J. Imaging Sci. 17(1): 147-187 (2024) - Alexander Katsevich:
Analysis of View Aliasing for the Generalized Radon Transform in \({\mathbb R}{\textbf{2}}\). SIAM J. Imaging Sci. 17(1): 415-440 (2024) - Yanran Li, Raymond H. Chan, Lixin Shen, Xiaosheng Zhuang, Risheng Wu, Yijun Huang, Junwei Liu:
Exploring Structural Sparsity of Coil Images from 3-Dimensional Directional Tight Framelets for SENSE Reconstruction. SIAM J. Imaging Sci. 17(2): 888-916 (2024) - Long Li, Jiansheng Yang, Bo Zhang, Haiwen Zhang:
Direct Imaging Methods for Reconstructing a Locally Rough Interface from Phaseless Total-Field Data or Phased Far-Field Data. SIAM J. Imaging Sci. 17(1): 188-224 (2024) - Zhiyuan Lyu, Gary P. T. Choi, Lok Ming Lui:
Bijective Density-Equalizing Quasiconformal Map for Multiply Connected Open Surfaces. SIAM J. Imaging Sci. 17(1): 706-755 (2024) - Junying Meng, Faqiang Wang, Jun Liu:
Learnable Nonlocal Self-Similarity of Deep Features for Image Denoising. SIAM J. Imaging Sci. 17(1): 441-475 (2024) - Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock:
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging. SIAM J. Imaging Sci. 17(1): 301-333 (2024) - Alessandro Sarti, Mattia Galeotti, Giovanna Citti:
The Cortical V1 Transform as a Heterogeneous Poisson Problem. SIAM J. Imaging Sci. 17(1): 389-414 (2024) - Xue-Cheng Tai, Hao Liu, Raymond H. Chan:
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks. SIAM J. Imaging Sci. 17(1): 540-594 (2024) - Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb:
Provably Convergent Plug-and-Play Quasi-Newton Methods. SIAM J. Imaging Sci. 17(2): 785-819 (2024) - Teemu Tyni, Adam R. Stinchcombe, Spyros Alexakis:
A Boundary Integral Equation Method for the Complete Electrode Model in Electrical Impedance Tomography with Tests on Experimental Data. SIAM J. Imaging Sci. 17(1): 672-705 (2024) - Xu Xiao, You-Wei Wen, Raymond H. Chan, Tieyong Zeng:
Image Segmentation Using Bayesian Inference for Convex Variant Mumford-Shah Variational Model. SIAM J. Imaging Sci. 17(1): 248-272 (2024) - Quan Yu, Minru Bai:
Generalized Nonconvex Hyperspectral Anomaly Detection via Background Representation Learning with Dictionary Constraint. SIAM J. Imaging Sci. 17(2): 917-950 (2024) - Huiwen Zheng, Yifei Lou, Guoliang Tian, Chao Wang:
A Scale-Invariant Relaxation in Low-Rank Tensor Recovery with an Application to Tensor Completion. SIAM J. Imaging Sci. 17(1): 756-783 (2024) - Gaiting Zhou, Daniel Tward, Kenneth Lange:
A Majorization-Minimization Algorithm for Neuroimage Registration. SIAM J. Imaging Sci. 17(1): 273-300 (2024)
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