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IEEE Transactions on Computational Imaging, Volume 10
Volume 10, 2024
- Sidharth Gupta, Konik Kothari, Valentin Debarnot, Ivan Dokmanic:
Differentiable Uncalibrated Imaging. 1-16 - Qinzhen Shi, Tianhua Zhou, Yuan Liu, Yucheng He, Lingwei Shi, Yifang Li, Dean Ta:
A 3-D Ultrasound Tomography Method for Bone Morphology Evaluation. 17-27 - Jiajun Xiang, Aihua Mao, Jiayi Xie, Hongbin Han, Xianghong Wang, Peng Jin, Jichen Du, Mingchao Ding, Lequan Yu, Tianye Niu:
DER-GAN: Dual-Energy Recovery GAN for Conebeam CT. 28-42 - Gyutaek Oh, Sukyoung Jung, Jeong Eun Lee, Jong Chul Ye:
Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction. 43-53 - Peyman F. Shahandashti, Paula López, Víctor M. Brea, Daniel García-Lesta, Miguel Heredia Conde:
Simultaneous Multifrequency Demodulation for Single-Shot Multiple-Path ToF Imaging. 54-68 - Luke Lozenski, Hanchen Wang, Fu Li, Mark A. Anastasio, Brendt Wohlberg, Youzuo Lin, Umberto Villa:
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography. 69-82 - Di Jia, Peng Cai, Qian Wang, Ninghua Yang:
A Transformer-Based Architecture for High-Resolution Stereo Matching. 83-92 - Yu-Chun Miao, Xi-Le Zhao, Jian-Li Wang, Xiao Fu, Yao Wang:
Snapshot Compressive Imaging Using Domain-Factorized Deep Video Prior. 93-102 - Tiancheng Li, Qiurong Yan, Quan Zou, Qianling Dai:
Gates-Controlled Deep Unfolding Network for Image Compressed Sensing. 103-114 - Xingguang Zhang, Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan:
Imaging Through the Atmosphere Using Turbulence Mitigation Transformer. 115-128 - Wenting Gu, Jialong Wang, Shouyu Chai, Tho N. H. T. Tran, Dean Ta, Xin Liu:
Holographic Reconstruction With All-Acoustic Diffractive Network. 129-142 - Yanyan Shi, Yajun Lou, Meng Wang, Ke Yang, Zhen Gao, Feng Fu:
Densely Connected Convolutional Neural Network-Based Invalid Data Compensation for Brain Electrical Impedance Tomography. 143-153 - Thilo Balke, Alexander M. Long, Sven C. Vogel, Brendt Wohlberg, Charles A. Bouman:
TRINIDI: Time-of-Flight Resonance Imaging With Neutrons for Isotopic Density Inference. 154-169 - Chun Zhao, Byeungwoo Jeon:
Compact Representation of Light Field Data for Refocusing and Focal Stack Reconstruction Using Depth Adaptive Multi-CNN. 170-180 - Yubin Cheng, Qing Li, Runrui Li, Tao Wang, Juanjuan Zhao, Qiang Yan, Zia ur Rehman, Long Wang, Yan Geng:
LIR-Net:Learnable Iterative Reconstruction Network for Fan Beam CT Sparse-View Reconstruction. 181-195 - Yaxin Shang, Jie Liu, Yanjun Liu, Yueqi Wang, Yusong Shen, Xiangjun Wu, Liwen Zhang, Hui Hui, Jie Tian:
Spatial-Frequency Multi-Scale Transformer for Deblurring and Shape-Preserving Reconstruction in Magnetic Particle Imaging. 196-207 - Olivier Leblanc, Mathias Hofer, Siddharth Sivankutty, Hervé Rigneault, Laurent Jacques:
Interferometric Lensless Imaging: Rank-One Projections of Image Frequencies With Speckle Illuminations. 208-222 - Yunsong Liu, Congyu Liao, Kawin Setsompop, Justin P. Haldar:
The Potential of Phase Constraints for Non-Fourier Radiofrequency-Encoded MRI. 223-232 - Yuchen He, Yue Zhou, Jianming Yu, Hui Chen, Huaibin Zheng, Jianbin Liu, Yu Zhou, Zhuo Xu:
ADMMNet-Based Deep Unrolling Method for Ghost Imaging. 233-245 - Haoze Sun, Chenyu Tian, Jing Xiao, Yujiu Yang:
Learn Stable MRI Under-Sampling Pattern With Decoupled Sampling Preference. 246-260 - Xiangyu Qu, Yiheng Chi, Stanley H. Chan:
Spatially Varying Exposure With 2-by-2 Multiplexing: Optimality and Universality. 261-276 - Antoni Buades, Onofre Martorell, Marco Sánchez-Beeckman:
Joint Denoising and HDR for RAW Image Sequences. 277-290 - Bo-Lin Jian, Jia-Ming Zhou:
A Study on Establishing a Dynamic Color Schlieren System to Observe Airflow and Predict Temperature Changes. 291-303 - Jing Lei, Qibin Liu:
Fractional Optimization With the Learnable Prior for Electrical Capacitance Tomography. 304-317 - Huei-Yung Lin, Tsai-Yu Hsu:
Disparity Computation With Low Intensity Quantization on Stereo Image Pairs. 318-328 - R. Wes Baldwin, Vijayan K. Asari, Keigo Hirakawa:
Sign-Coded Exposure Sensing for Noise-Robust High-Speed Imaging. 329-342 - Abhiram Gnanasambandam, Yash Sanghvi, Stanley H. Chan:
The Secrets of Non-Blind Poisson Deconvolution. 343-356 - Chunhong Cao, Wei Song, Han Xiang, Hongbo Yi, Fen Xiao, Xieping Gao:
A Two-Stream Stacked Autoencoder With Inter-Class Separability for Bilinear Hyperspectral Unmixing. 357-371 - Tao Hong, Luis Hernandez-Garcia, Jeffrey A. Fessler:
A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI. 372-384 - Haojie Tang, Gang Liu, Yao Qian, Jiebang Wang, Jinxin Xiong:
EgeFusion: Towards Edge Gradient Enhancement in Infrared and Visible Image Fusion With Multi-Scale Transform. 385-398 - Carter Lyons, Raghu G. Raj, Margaret Cheney:
Deep Regularized Compound Gaussian Network for Solving Linear Inverse Problems. 399-414 - Baoshun Shi, Shaolei Zhang, Ke Jiang, Qiusheng Lian:
Coupling Model- and Data-Driven Networks for CT Metal Artifact Reduction. 415-428 - Huafeng Li, Zhenmei Yang, Yafei Zhang, Dapeng Tao, Zhengtao Yu:
Single-Image HDR Reconstruction Assisted Ghost Suppression and Detail Preservation Network for Multi-Exposure HDR Imaging. 429-445 - Maria Antonia Maisto, Angela Dell'Aversano, Adriana Brancaccio, Ivan Russo, Raffaele Solimene:
A Computationally Light MUSIC Based Algorithm for Automotive RADARs. 446-460 - Ouwen Huang, Mark L. Palmeri:
TPU Based Deep Learning Image Enhancement for Real-Time Point-of-Care Ultrasound. 461-468 - Shuo Zhang, Zexu Pan, Yichang Lv, Youfang Lin:
Hierarchical Edge Refinement Network for Guided Depth Map Super-Resolution. 469-478 - Mingyang Ling, Kan Chang, Mengyuan Huang, Hengxin Li, Shuping Dang, Baoxin Li:
PRNet: Pyramid Restoration Network for RAW Image Super-Resolution. 479-495 - Aupendu Kar, Suresh Nehra, Jayanta Mukherjee, Prabir Kumar Biswas:
Adapting the Learning Models of Single Image Super-Resolution Into Light-Field Imaging. 496-509 - Pengfei Shi, Xiwang Xu, Xinnan Fan, Xudong Yang, Yuanxue Xin:
LL-UNet++:UNet++ Based Nested Skip Connections Network for Low-Light Image Enhancement. 510-521 - Tom Lütjen, Fabian Schönfeld, Alice Oberacker, Johannes Leuschner, Maximilian Schmidt, Anne Wald, Tobias Kluth:
Learning-Based Approaches for Reconstructions With Inexact Operators in nanoCT Applications. 522-534 - Qi Jiang, Hao Shi, Shaohua Gao, Jiaming Zhang, Kailun Yang, Lei Sun, Huajian Ni, Kaiwei Wang:
Computational Imaging for Machine Perception: Transferring Semantic Segmentation Beyond Aberrations. 535-548 - Nebiyou Yismaw, Ulugbek S. Kamilov, M. Salman Asif:
Domain Expansion via Network Adaptation for Solving Inverse Problems. 549-559 - Ziqi Bai, Xianming Liu, Cheng Guo, Kui Jiang, Junjun Jiang, Xiangyang Ji:
HoloFormer: Contrastive Regularization Based Transformer for Holographic Image Reconstruction. 560-573 - Yanan Zhao, Yuelong Li, Haichuan Zhang, Vishal Monga, Yonina C. Eldar:
Deep, Convergent, Unrolled Half-Quadratic Splitting for Image Deconvolution. 574-588 - Lishan Tan, Renwei Dian, Shutao Li, Jinyang Liu:
Frequency-Spatial Domain Feature Fusion for Spectral Super-Resolution. 589-599 - Ban-Sok Shin, Dmitriy Shutin:
Joint Distributed Traveltime and Full Waveform Tomography for Enhanced Subsurface Imaging in Seismic Networks. 600-612 - Chunyan Liu, Sui Li, Dianlin Hu, Jianjun Wang, Wenjin Qin, Chen Liu, Peng Zhang:
Nonlocal Tensor Decomposition With Joint Low Rankness and Smoothness for Spectral CT Image Reconstruction. 613-627 - Felix F. Zimmermann, Christoph Kolbitsch, Patrick Schuenke, Andreas Kofler:
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction. 628-639 - Huaguang Li, Wenhua Qian, Jinde Cao, Rencan Nie, Peng Liu, Dan Xu:
Multi-Interactive Enhanced for Defocus Blur Estimation. 640-652 - Matthias Beckmann, Ayush Bhandari, Meira Iske:
Fourier-Domain Inversion for the Modulo Radon Transform. 653-665 - Wenbo Wan, Zezhu Wang, Zhiyan Wang, Lingchen Gu, Jiande Sun, Qiang Wang:
Arbitrary-Scale Image Super-Resolution via Degradation Perception. 666-676 - Xu Ji, Yuchen Lu, Yikun Zhang, Xu Zhuo, Shengqi Kan, Weilong Mao, Gouenou Coatrieux, Jean-Louis Coatrieux, Guotao Quan, Yan Xi, Shuo Li, Tianling Lyu, Yang Chen:
SeNAS-Net: Self-Supervised Noise and Artifact Suppression Network for Material Decomposition in Spectral CT. 677-689 - Xiang Ding, Jian Kang, Yusong Bai, Anping Zhang, Jialin Liu, Naoto Yokoya:
Towards Robustness and Efficiency of Coherence-Guided Complex Convolutional Sparse Coding for Interferometric Phase Restoration. 690-699 - Patricio Guerrero, Simon Bellens, Ricardo Santander, Wim Dewulf:
Automatic and Computationally Efficient Alignment in Fan- and Cone-Beam Tomography. 700-712 - Yuxuan Guo, Xiaobing Dai, Shaoju Wang, Guang Jin, Xuemin Zhang:
Attention-Based Progressive Discrimination Generative Adversarial Networks for Polarimetric Image Demosaicing. 713-725 - Yutong Liu, Wenming Weng, Ruisheng Gao, Zeyu Xiao, Yueyi Zhang, Zhiwei Xiong:
Disparity-Guided Multi-View Interaction Network for Light Field Reflection Removal. 726-741 - Maneesh John, Jyothi Rikhab Chand, Mathews Jacob:
Local Monotone Operator Learning Using Non-Monotone Operators: MnM-MOL. 742-751 - Jhon Lopez, Edwin Vargas, Henry Arguello:
Depth Estimation From a Single Optical Encoded Image Using a Learned Colored-Coded Aperture. 752-761 - Okyanus Oral, Figen S. Oktem:
Plug-and-Play Regularization on Magnitude With Deep Priors for 3D Near-Field MIMO Imaging. 762-773 - Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi:
Deep Network Cascade for Dynamic Cardiac MRI Reconstruction With Motion Feature Incorporation and the Fourier Neural Attention. 774-789 - Mehrsa Pourya, Aleix Boquet-Pujadas, Michael Unser:
A Box-Spline Framework for Inverse Problems With Continuous-Domain Sparsity Constraints. 790-805 - Kinan Abbas, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Locally-Rank-One-Based Joint Unmixing and Demosaicing Methods for Snapshot Spectral Images. Part II: A Filtering-Based Framework. 806-817 - Yangchuan Liu, Shimin Liao, Yechen Zhu, Fuxing Deng, Zijian Zhang, Xin Gao, Tingting Cheng:
Channel-Spatial Attention Guided CycleGAN for CBCT-Based Synthetic CT Generation to Enable Adaptive Radiotherapy. 818-831 - Berk Iskender, Marc Louis Klasky, Yoram Bresler:
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging. 832-847 - Kinan Abbas, Matthieu Puigt, Gilles Delmaire, Gilles Roussel:
Locally-Rank-One-Based Joint Unmixing and Demosaicing Methods for Snapshot Spectral Images. Part I: A Matrix-Completion Framework. 848-862 - Michael P. Sheehan, Julián Tachella, Mike E. Davies:
Spline Sketches: An Efficient Approach for Photon Counting Lidar. 863-875 - Ryota Maeda, Shinsaku Hiura:
Polarimetric Light Transport Analysis for Specular Inter-Reflection. 876-887 - Tianfu Wang, Jiazhang Wang, Nathan Matsuda, Oliver Cossairt, Florian Willomitzer:
Differentiable Deflectometric Eye Tracking. 888-898 - Shu Li, Yi Liu, Rongbiao Yan, Haowen Zhang, Shubin Wang, Ting Ding, Zhiguo Gui:
DD-DCSR: Image Denoising for Low-Dose CT via Dual-Dictionary Deep Convolutional Sparse Representation. 899-914 - Jiangtao Nie, Wei Wei, Lei Zhang, Chen Ding, Yanning Zhang:
Hybrid Pixel-Wise Registration Learning for Robust Fusion-Based Hyperspectral Image Super-Resolution. 915-927 - Licheng Liu, Tao Liu, Wei Zhou, Yaonan Wang, Min Liu:
MAPANet: A Multi-Scale Attention-Guided Progressive Aggregation Network for Multi-Contrast MRI Super-Resolution. 928-940 - Ajinkya Kadu, Felix Lucka, Kees Joost Batenburg:
Single-Shot Tomography of Discrete Dynamic Objects. 941-952 - Tianyuan Wang, Felix Lucka, Tristan van Leeuwen:
Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning. 953-968 - Lijun Zhao, Bintao Chen, Jinjing Zhang, Anhong Wang, Huihui Bai:
RIRO: From Retinex-Inspired Reconstruction Optimization Model to Deep Low-Light Image Enhancement Unfolding Network. 969-983 - Shijun Zhou, Zhen Zhang, Yajing Liu, Jiandong Tian:
Restoration on High Turbidity Water Images Under Near-Field Illumination Using a Light-Field Camera. 984-999 - Amir Masoud Molaei, Maria Garcia-Fernandez, Guillermo Álvarez Narciandi, Rupesh Kumar, Vasiliki Skouroliakou, Vincent F. Fusco, Muhammad Ali Babar Abbasi, Okan Yurduseven:
Application of Kirchhoff Migration Principle for Hardware-Efficient Near-Field Radar Imaging. 1000-1015 - Romario Gualdrón-Hurtado, Henry Arguello, Jorge Bacca:
Deep Learned Non-Linear Propagation Model Regularizer for Compressive Spectral Imaging. 1016-1025 - Jingchao Hou, Garas Gendy, Guo Chen, Liangchao Wang, Guanghui He:
DTDeMo: A Deep Learning-Based Two-Stage Image Demosaicing Model With Interpolation and Enhancement. 1026-1039 - Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman:
Learning Task-Specific Strategies for Accelerated MRI. 1040-1054 - Jiawei Jiang, Zihan He, Yueqian Quan, Jie Wu, Jianwei Zheng:
PGIUN: Physics-Guided Implicit Unrolling Network for Accelerated MRI. 1055-1068 - Paula Arguello, Jhon Lopez, Karen Sanchez, Carlos Hinojosa, Fernando Rojas Morales, Henry Arguello:
Learning to Describe Scenes via Privacy-Aware Designed Optical Lens. 1069-1079 - Yuanke Zhang, Rujuan Cao, Fan Xu, Rui Zhang, Fengjuan Jiang, Jing Meng, Fei Ma, Yanfei Guo, Jianlei Liu:
Side Information-Assisted Low-Dose CT Reconstruction. 1080-1093 - Mohammad Khateri, Morteza Ghahremani, Alejandra Sierra, Jussi Tohka:
No-Clean-Reference Image Super-Resolution: Application to Electron Microscopy. 1094-1110 - Carlos M. Restrepo-Galeano, Gonzalo R. Arce:
Super-Resolution in Low Dose X-ray CT via Focal Spot Mitigation With Generative Diffusion Networks. 1111-1123 - Aleksei Sholokhov, Saleh Nabi, Joshua Rapp, Steven L. Brunton, J. Nathan Kutz, Petros T. Boufounos, Hassan Mansour:
Single-Pixel Imaging of Spatio-Temporal Flows Using Differentiable Latent Dynamics. 1124-1138 - Jianan Li, Wangcai Zhao, Tingfa Xu:
Region-Based Spectral-Spatial Mutual Induction Network for Hyperspectral Image Reconstruction. 1139-1151 - Senrong You, Bin Yuan, Zhihan Lyu, Charles K. Chui, C. L. Philip Chen, Baiying Lei, Shuqiang Wang:
Generative AI Enables Synthesizing Cross-Modality Brain Image via Multi-Level-Latent Representation Learning. 1152-1164 - Haoyuan Xia, Qianxue Shan, Junwu Wang, Dong Liu:
NAS Powered Deep Image Prior for Electrical Impedance Tomography. 1165-1174 - Tom Sharon, Yonina C. Eldar:
Real-Time Model-Based Quantitative Ultrasound and Radar. 1175-1190 - Samuel Beuret, Adrien Besson, Akihiro Sugimoto, Jean-Philippe Thiran:
An Inverse-Problem Approach to the Estimation of Despeckled and Deconvolved Images From Radio-Frequency Signals in Pulse-Echo Ultrasound. 1191-1206 - Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
Decoupling Image Deblurring Into Twofold: A Hierarchical Model for Defocus Deblurring. 1207-1220 - Peng Li, Yue Hu:
Enhancing MRF Reconstruction: A Model-Based Deep Learning Approach Leveraging Learned Sparsity and Physics Priors. 1221-1234 - Shijun Liang, Anish Lahiri, Saiprasad Ravishankar:
Adaptive Local Neighborhood-Based Neural Networks for MR Image Reconstruction From Undersampled Data. 1235-1249 - Jyothi Rikhab Chand, Mathews Jacob:
Multi-Scale Energy (MuSE) Framework for Inverse Problems in Imaging. 1250-1265 - Johannes F. Kunz, Stefan Ruschke, Reinhard Heckel:
Implicit Neural Networks With Fourier-Feature Inputs for Free-Breathing Cardiac MRI Reconstruction. 1280-1289 - Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman:
Provable Probabilistic Imaging Using Score-Based Generative Priors. 1290-1305 - Salman Siddique Khan, Xiang Yu, Kaushik Mitra, Manmohan Chandraker, Francesco Pittaluga:
OpEnCam: Lensless Optical Encryption Camera. 1306-1316 - Da Yang, Hao Sheng, Sizhe Wang, Shuai Wang, Zhang Xiong, Wei Ke:
Boosting Light Field Spatial Super-Resolution via Masked Light Field Modeling. 1317-1330 - Xi Tong, Xing Luo, Jiangxin Yang, Yanpeng Cao:
CMEFusion: Cross-Modal Enhancement and Fusion of FIR and Visible Images. 1331-1345 - Tiecheng Song, Zheng Zhang, Kaizhao Zhang, Anyong Qin, Feng Yang, Chenqiang Gao:
DS$^{2}$PN: A Two-Stage Direction-Aware Spectral-Spatial Perceptual Network for Hyperspectral Image Reconstruction. 1346-1356 - Rui Liu, Ying Xiao, Yini Peng, Xin Tian:
DDFSRM: Denoising Diffusion Fusion Model for Line-Scanning Super-Resolution. 1357-1367 - Luke Lozenski, Refik Mert Çam, Mark D. Pagel, Mark A. Anastasio, Umberto Villa:
ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction. 1368-1383 - Zongyu Li, Jason Hu, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler:
Accelerated Wirtinger Flow With Score-Based Image Priors for Holographic Phase Retrieval in Poisson-Gaussian Noise Conditions. 1384-1399 - Yang Lu, Jiandong Tian, Yiming Su, Yidong Luo, Junchao Zhang, Chunhui Hao:
A Hybrid Polarization Image Demosaicking Algorithm Based on Inter-Channel Correlation. 1400-1413 - Jevgenija Rudzusika, Buda Bajic, Thomas Köhler, Ozan Öktem:
3D Helical CT Reconstruction With a Memory Efficient Learned Primal-Dual Architecture. 1414-1424 - Zhifeng Xie, Lei Cui, Qingyuan Shen, Xiaoqing Wang, Peiqing Yang, Xingyi Su, Haifeng Huang:
TMSST-RID: A Target-Oriented SAR-ISAR Imaging Method Based on Synchrosqueezing. 1425-1438 - Leping Xiao, Jianyu Wang, Yi Wang, Ziyu Zhan, Zuoqiang Shi, Lingyun Qiu, Xing Fu:
Fast Non-Line-of-Sight Imaging With Hybrid Super-Resolution Network Over 18 m. 1439-1448 - Mazen Mel, Alexander Gatto, Pietro Zanuttigh:
Joint Reconstruction and Spatial Super-Resolution of Hyper-Spectral CTIS Images via Multi-Scale Refinement. 1449-1461 - Sayantan Dutta, Jonathan Mamou:
A Quantum Denoising-Based Resolution Enhancement Framework for 250-MHz and 500-MHz Quantitative Acoustic Microscopy. 1489-1504 - Xiaoyin Mei, Yuqi Li, Qiang Fu, Wolfgang Heidrich:
Progressive Self-Supervised Learning for CASSI Computational Spectral Cameras. 1505-1518 - Zan Chen, Ran Li, Yongqiang Li, Yuanjing Feng, Xingsong Hou, Xueming Qian:
Deep Motion Regularizer for Video Snapshot Compressive Imaging. 1519-1532 - Jiandong Su, Ce Wang, Yinsheng Li, Dong Liang, Kun Shang:
F2IFlow for CT Metal Artifact Reduction. 1533-1546 - RuoCheng Wu, Shangqi Deng, Ran Ran, Hong-Xia Dou, Liang-Jian Deng:
INF3: Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion. 1547-1558 - Zixin Liu, Junwu Wang, Qianxue Shan, Dong Liu:
GraphEIT: Unsupervised Graph Neural Networks for Electrical Impedance Tomography. 1559-1570 - Weijie Liang, Zhihui Tu, Jian Lu, Kai Tu, Michael K. Ng, Chen Xu:
Fixed-Point Convergence of Multi-Block PnP ADMM and Its Application to Hyperspectral Image Restoration. 1571-1587 - Marco Maaß, Tobias Kluth, Christine Droigk, Hannes Albers, Konrad Scheffler, Alfred Mertins, Tobias Knopp:
Equilibrium Model With Anisotropy for Model-Based Reconstruction in Magnetic Particle Imaging. 1588-1601 - Jingwei Chen, Daoxiang An, Dong Feng, Wu Wang, Zhimin Zhou:
Extended Polar Format Algorithm for Non-Planar Target Imaging With DSM. 1602-1615 - Wenyi Shao, Yan Li:
An Efficient Method for Modelling Millimeter-Wave Scan for Security Screening of Humans. 1616-1625 - Guanting Dong, Yueyi Zhang, Xiaoyan Sun, Zhiwei Xiong:
Recurrent Cross-Modality Fusion for Time-of-Flight Depth Denoising. 1626-1639 - David G. J. Heesterbeek, Max H. C. van Riel, Tristan van Leeuwen, Cornelis A. T. van den Berg, Alessandro Sbrizzi:
Data-Driven Discovery of Mechanical Models Directly From MRI Spectral Data. 1640-1649 - Alper Güngör, M. Umut Bahçeci, Yasin Ergen, Ahmet Sözak, O. Oner Ekiz, Tolga Yelboga, Tolga Çukur:
CalibFPA: A Focal Plane Array Imaging System Based on Online Deep-Learning Calibration. 1650-1663 - Yangke Ying, Jin Wang, Yunhui Shi, Nam Ling, Baocai Yin:
Spectral Memory-Enhanced Network With Local Non-Local and Low-Rank Priors for Hyperspectral Image Compressive Imaging. 1664-1679 - Wentao Chao, Fuqing Duan, Xuechun Wang, Yingqian Wang, Ke Lu, Guanghui Wang:
OccCasNet: Occlusion-Aware Cascade Cost Volume for Light Field Depth Estimation. 1680-1691 - Lei Li, Haohao Yan, Yuge Li, Yidong Liao, Yanjun Liu, Ruili Zhang, Zhongliang Wang, Xin Feng, Jie Tian:
Relaxation-Based Super-Resolution Method in Pulsed Magnetic Particle Imaging. 1692-1705
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