Deep Convolutional Neural Network for Inverse Problems in Imaging
Jin, Kyong Hwan, McCann, Michael T., Froustey, Emmanuel, Unser, Michael·2017·IEEE Transactions on Image Processing
Cited by (1,000)
Items 701–800 of 1,000
- DecNet: Decomposition network for 3D gravity inversionShuang Zhang, Changchun Yin, Xiaoyue Cao, Siyuan Sun, Yunhe Liu, Xiuyan Ren · 2022 · Geophysics
- Learned regularization for image reconstruction in sparse-view photoacoustic tomographyTong Wang, Menghui He, Kang Shen · 2022 · Biomedical Optics Express
- RNLFNet: Residual non-local Fourier network for undersampled MRI reconstructionZhou Liu, Minjie Zhu, Dongping Xiong, Lijun Ouyang, Yan Ouyang, Zhongze Chen, Xiaozhi Zhang · 2023 · Biomedical Signal Processing and Control
- High-Performance Polarization Imaging Reconstruction in Scattering System under Natural Light Conditions with an Improved U-NetBing Lin, Xueqiang Fan, Dekui Li · 2023 · Photonics
- K-space and image domain collaborative energy-based model for parallel MRI reconstructionZongjiang Tu, Chen Jiang, Yu Guan · 2023 · Magnetic Resonance Imaging
- Transforming urinary stone disease management by artificial intelligence-based methods: A comprehensive reviewAnastasios Anastasiadis, Antonios Koudonas, Georgios Langas, Stavros Tsiakaras, Dimitrios Memmos, Ioannis Mykoniatis, Evangelos N. Symeonidis, Dimitrios Tsiptsios, Eliophotos D. Savvides, Ioannis Vakalopoulos et al. · 2023 · Asian journal of urology
- Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning—A Residual Physics ApproachStephan Naunheim, Yannick Kuhl, David Schug, Volkmar Schulz, Florian Mueller · 2023 · IEEE Transactions on Neural Networks and Learning Systems
- A Federated Deep Unrolling Method for Lidar Super-Resolution: Benefits in SLAMΑλέξανδρος Γκίλλας, Aris S. Lalos, Evangelos Markakis, Ilias Politis · 2023 · IEEE Transactions on Intelligent Vehicles
- Computational optical tomography using 3-D deep convolutional neural networksThanh Nguyen, Vy Bui, George Nehmetallah · 2018 · Optical Engineering
- Deep Learning of truncated singular values for limited view photoacoustic tomographyJohannes Schwab, Stephan Antholzer, Markus Haltmeier · 2019 · Photons Plus Ultrasound: Imaging and Sensing
- Invertibility-Driven Interpolation Filter for Video CodingNing Yan, Dong Liu, Houqiang Li, Bin Li, Li Li, Feng Wu · 2019 · IEEE Transactions on Image Processing
- Deep Ensemble Feature Network for Gastric Section ClassificationTing-Hsuan Lin, Jyun-Yao Jhang, Chun-Rong Huang · 2020 · IEEE Journal of Biomedical and Health Informatics
- Simulation Study of Low-Dose Sparse-Sampling CT with Deep Learning-Based Reconstruction: Usefulness for Evaluation of Ovarian Cancer MetastasisYasuyo Urase, Mizuho Nishio, Yoshiko R. Ueno, Atsushi K. Kono, Keitaro Sofue, Tomonori Kanda, Takaki Maeda, Munenobu Nogami, Masatoshi Hori, Takamichi Murakami · 2020 · Applied Sciences
- A Two-Stream Multiscale Deep Learning Architecture for Pan-SharpeningJie Wei, Yang Xu, Wanting Cai, Zebin Wu, Jocelyn Chanussot, Zhihui Wei · 2020 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- On finite-horizon H ∞ state estimation for discrete-time delayed memristive neural networks under stochastic communication protocolHongjian Liu, Zidong Wang, Weiyin Fei, Jiahui Li, Fuad E. Alsaadi · 2020 · Information Sciences
- Dynamical machine learning volumetric reconstruction of objects’ interiors from limited angular viewsIksung Kang, Alexandre Goy, George Barbastathis · 2021 · Light Science & Applications
- Can stable and accurate neural networks be computed? - On the barriers of deep learning and Smale's 18th problem.Vegard Antun, Matthew J. Colbrook, Anders C. Hansen · 2021 · arXiv (Cornell University)
- Optimal physical preprocessing for example-based super-resolutionAlexander Robey, Vidya Ganapati · 2018 · Optics Express
- Ciphertext-only attack on optical cryptosystem with spatially incoherent illumination based deep-learning correlographyHuazheng Wu, Xiangfeng Meng, Xiulun Yang · 2020 · Optics and Lasers in Engineering
- A Text-Driven Aircraft Fault Diagnosis Model Based on a Word2vec and Priori-Knowledge Convolutional Neural NetworkZhenzhong Xu, Bang Chen, Shenghan Zhou, Wenbing Chang, Xinpeng Ji, Chaofan Wei, Wenkui Hou · 2021 · Aerospace
- The explosion operation of fireworks algorithm boosts the coral reef optimization for multimodal medical image registrationYilin Chen, Fazhi He, Xian‐Tao Zeng · 2021 · Engineering Applications of Artificial Intelligence
- Performance analysis of classification and segmentation of cysts in panoramic dental images using convolutional neural network architectureSivagami Sivasundaram, C.Satheesh Pandian · 2021 · International Journal of Imaging Systems and Technology
- Image Noise Reduction Based on a Fixed Wavelet Frame and CNNs Applied to CTLuis Albert Zavala-Mondragón, Peter H. N. de With, Fons van der Sommen · 2021 · IEEE Transactions on Image Processing
- Learning residual motion correction for fast and robust 3D multiparametric MRICarolin M. Pirkl, Matteo Cencini, Jan W. Kurzawski, Diana Waldmannstetter, Hongwei Li, Anjany Sekuboyina, Sebastian Endt, Luca Peretti, Graziella Donatelli, Rosa Pasquariello et al. · 2022 · Medical Image Analysis
- Distortion‐corrected image reconstruction with deep learning on an MRI‐LinacShanshan Shan, Yang Gao, Paul Z. Y. Liu, Brendan Whelan, Hongfu Sun, Bin Dong, Feng Liu, David E. J. Waddington · 2023 · Magnetic Resonance in Medicine
- Lung cancer diagnosis based on weighted convolutional neural network using gene data expressionM. Thangamani, Manjula Sanjay Koti, B. A. Nagashree, Geetha V, Shreyas K.P, Sandeep Kumar Mathivanan, Gemmachis Teshite Dalu · 2024 · Scientific Reports
- Dual-Domain Collaborative Diffusion Sampling for Multi-Source Stationary Computed Tomography ReconstructionZirong Li, Dingyue Chang, Zhen-Xi Zhang, Fulin Luo, Qiegen Liu, Jianjia Zhang, Guang Yang, Weiwen Wu · 2024 · IEEE Transactions on Medical Imaging
- Bi-Linear Modeling of Data Manifolds for Dynamic-MRI RecoveryGaurav Nagesh Shetty, Konstantinos Slavakis, Abhishek Bose, Ukash Nakarmi, Gesualdo Scutari, Leslie Ying · 2019 · IEEE Transactions on Medical Imaging
- PHASELESS MICROWAVE IMAGING OF DIELECTRIC CYLINDERS: AN ARTIFICIAL NEURAL NETWORKS-BASED APPROACHJesús E. Fajardo, Julián Galván, Fernando Vericat · 2019 · Electromagnetic waves
- Limited-Angle Diffuse Optical Tomography Image Reconstruction Using Deep LearningHanene Ben Yedder, Majid Shokoufi, Ben Cardoen, Farid Golnaraghi, Ghassan Hamarneh · 2019 · Lecture notes in computer science
- A Deep Learning Framework for Transforming Image Reconstruction Into Pixel ClassificationKamlesh Pawar, Zhaolin Chen, Nadim Jon Shah · 2019 · IEEE Access
- Experimental investigation of neural network estimator and transfer learning techniques for K‐edge spectral CT imagingKevin C. Zimmerman, Gayatri Sharma, Abdul Kareem Parchur · 2019 · Medical Physics
- Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image ReconstructionVarun A. Kelkar, Sayantan Bhadra, Mark A. Anastasio · 2021 · IEEE Transactions on Computational Imaging
- Imaging through glass diffusers using densely connected convolutional networksShuai Li, Mo Deng, Justin Lee · 2017 · arXiv (Cornell University)
- Quantitative Phase Imaging and Artificial Intelligence: A ReviewYoungJu Jo, Hyungjoo Cho, Sang‐Yun Lee · 2018 · arXiv (Cornell University)
- Misalignment-Resistant Deep Unfolding Network for multi-modal MRI super-resolution and reconstructionJinbao Wei, Gang Yang, Zhijie Wang · 2024 · Knowledge-Based Systems
- Furnace thermal efficiency modeling using an improved convolution neural network based on parameter-adaptive mnemonic enhancement optimizationYongjian Wang, Jingwen Huang, Chong Su, Hongguang Li · 2018 · Applied Thermal Engineering
- Partial-ring PET image restoration using a deep learning based methodChih‐Chieh Liu, Hsuan‐Ming Huang · 2019 · Physics in Medicine and Biology
- Feature Consistency Training With JPEG Compressed ImagesSheng Wan, Tung-Yu Wu, Heng-Wei Hsu, Wing Hung Wong, Chen‐Yi Lee · 2019 · IEEE Transactions on Circuits and Systems for Video Technology
- Consolidated Dataset and Metrics for High-Dynamic-Range Image QualityAliaksei Mikhailiuk, María Pérez‐Ortiz, Dingcheng Yue, Wilson Suen, Rafał Mantiuk · 2021 · IEEE Transactions on Multimedia
- Neural network model assisted Fourier ptychography with Zernike aberration recovery and total variation constraintYongbing Zhang, Yangzhe Liu, Shaowei Jiang · 2021 · Journal of Biomedical Optics
- Single-pixel image reconstruction from experimental data using neural networksAntonio Lorente Mur, Pierre Leclerc, Françoise Peyrin · 2021 · Optics Express
- Deep-fUS: A Deep Learning Platform for Functional Ultrasound Imaging of the Brain Using Sparse DataTommaso Di Ianni, Raag D. Airan · 2022 · IEEE Transactions on Medical Imaging
- Deep Learning with Adaptive Attention for Seismic Velocity InversionFangda Li, Zhenwei Guo, Xinpeng Pan · 2022 · Remote Sensing
- A Deep Learning Approach for Rapid and Generalizable Denoising of Photon-Counting Micro-CT ImagesRohan Nadkarni, Darin P. Clark, Alex J. Allphin · 2023 · Tomography
- Frequency Learning via Multi-Scale Fourier Transformer for MRI ReconstructionQiaosi Yi, Faming Fang, Guixu Zhang, Tieyong Zeng · 2023 · IEEE Journal of Biomedical and Health Informatics
- Model based image reconstruction using deep learned priors (MODL)Hemant Kumar Aggarwal, Merry Mani, Mathews Jacob · 2018 · IEEE International Symposium on Biomedical Imaging (ISBI)
- Rapid compositional mapping of knee cartilage with compressed sensing MRIMarcelo V. W. Zibetti, Rahman Baboli, Gregory A. Chang, Ricardo Otazo, Ravinder Reddy Regatte · 2018 · Journal of Magnetic Resonance Imaging
- Denoising auto-encoding priors in undecimated wavelet domain for MR image reconstructionSiyuan Wang, Junjie Lv, Yuanyuan Hu, Dong Liang, Yang Chen, Minghui Zhang, Qiegen Liu · 2021 · Neurocomputing
- Compressed-Sensing Magnetic Resonance Image Reconstruction Using an Iterative Convolutional Neural Network ApproachFumio Hashimoto, Kibo Ote, Takenori Oida · 2020 · Applied Sciences
- Smoothed L0-Constraint Dictionary Learning for Low-Dose X-Ray CT ReconstructionTemitope Emmanuel Komolafe, Kang Wang, Qiang Du, Tao Hu, Gang Yuan, Jian Zheng, Cheng Zhang, Ming Li, Xiaodong Yang · 2020 · IEEE Access
- Lensless cameras using a mask based on almost perfect sequence through deep learningHao Zhou, Huajun Feng, Zengxin Hu · 2020 · Optics Express
- SAR moving target imaging based on convolutional neural networkZhijun Lü, Qi Ming Qin, Hongyin Shi · 2020 · Digital Signal Processing
- Stabilizing Deep Tomographic Reconstruction NetworksWeiwen Wu, Dianlin Hu, Wenxiang Cong · 2020 · arXiv (Cornell University)
- Highly accelerated MRI via implicit neural representation guided posterior sampling of diffusion modelsJiayue Chu, Chenhe Du, Xiyue Lin, Xiaoqun Zhang, Lihui Wang, Yuyao Zhang, Hongjiang Wei · 2024 · Medical Image Analysis
- Learning Image Profile Enhancement and Denoising Statistics Priors for Single-Image Super-ResolutionChao Ren, Xiaohai He, Yi‐Fei Pu, Truong Q. Nguyen · 2019 · IEEE Transactions on Cybernetics
- Low-dose CT imaging via cascaded ResUnet with spectrum lossJin Liu, Yanqin Kang, Jun Qiang, Yong Wang, Dianlin Hu, Yang Chen · 2021 · Methods
- Deep neural network for beam hardening artifacts removal in image reconstructionKailash Wamanrao Kalare, Manish Kumar Bajpai, Shubhabrata Sarkar · 2021 · Applied Intelligence
- Long Multi-digit Number Recognition from Images Empowered by Deep Convolutional Neural NetworksMuhammad Asif, Maaz Bin Ahmad, Shiza Mushtaq, Khalid Masood, Toqeer Mahmood, Arfan Ali Nagra · 2021 · The Computer Journal
- Physics Assisted Deep Learning for Indoor Imaging Using Phaseless Wi-Fi MeasurementsSamruddhi Deshmukh, Amartansh Dubey, Dingfei Ma · 2022 · IEEE Transactions on Antennas and Propagation
- GPU-Based Sparse Power Flow Studies With Modified Newton’s MethodLei Zeng, Shadi G. Alawneh, Seyed Ali Arefifar · 2021 · IEEE Access
- Compressed Sensing MRI Reconstruction with Co-VeGAN: Complex-Valued Generative Adversarial NetworkBhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Pyari Mohan Pradhan · 2022 · IEEE Winter Conference on Applications of Computer Vision
- Prediction of Mechanical Properties of the 2024 Aluminum Alloy by Using Machine Learning MethodsHatice Varol Özkavak, Murat İnce, Ezgi Eylem Bıçaklı · 2022 · Arabian Journal for Science and Engineering
- Deep Unfolding of the DBFB Algorithm With Application to ROI CT Imaging With Limited Angular DensityMarion Savanier, Émilie Chouzenoux, J.-C. Pesquet, Cyril Riddell · 2023 · IEEE Transactions on Computational Imaging
- Anatomical evaluation of deep-learning synthetic computed tomography images generated from male pelvis cone-beam computed tomographyYvonne J M de Hond, Camiel E.M. Kerckhaert, Maureen A.J.M. van Eijnatten · 2023 · Physics and Imaging in Radiation Oncology
- A Deep Learning Inversion Method for 3-D Electrical Resistivity Tomography Based on Neighborhood Feature ExtractionQian Guo, Benchao Liu, Yaxu Wang · 2023 · IEEE Sensors Journal
- Spectral2Spectral: Image-Spectral Similarity Assisted Deep Spectral CT Reconstruction Without ReferenceXiaodong Guo, Yonghui Li, Dingyue Chang, Peng He, Peng Feng, Hengyong Yu, Weiwen Wu · 2023 · IEEE Transactions on Computational Imaging
- Time-Reversion Fast-Sampling Score-Based Model for Limited-Angle CT ReconstructionYanyang Wang, Zirong Li, W.H. Wu · 2024 · IEEE Transactions on Medical Imaging
- Sparse-View CT Reconstruction Using Wasserstein GANsFranz Thaler, Kerstin Hammernik, Christian Payer · 2018 · Lecture notes in computer science
- A hierarchical approach to deep learning and its application to tomographic reconstructionLin Fu, Bruno De Man · 2019
- Convolutional neural networks for reconstruction of undersampled optical projection tomography data applied to in vivo imaging of zebrafishSamuel Davis, Sunil Kumar, Yuriy Alexandrov, Ajay Bhargava, Gabriela da Silva Xavier, Guy A. Rutter, Paul Frankel, Erik A. Sahai, Seth R Flaxman, P. M. W. French et al. · 2019 · Journal of Biophotonics
- Data driven regularization by projectionAndrea Aspri, Yu. M. Korolev, Otmar Scherzer · 2020 · Inverse Problems
- Feasibility-based fixed point networksHoward Heaton, Samy Wu Fung, Aviv Gibali, Wotao Yin · 2021 · Fixed Point Theory and Algorithms for Sciences and Engineering
- Generalized deep iterative reconstruction for sparse-view CT imagingTing Su, Zhuo‐Xu Cui, Jiecheng Yang et al. · 2021 · Physics in Medicine and Biology
- Unsupervised Learnable Sinogram Inpainting Network (SIN) for Limited Angle CT reconstructionJi Jun Zhao, Zhiqiang Chen, Li Zhang · 2018 · arXiv (Cornell University)
- DuDoNet: Dual Domain Network for CT Metal Artifact ReductionWei-An Lin, Haofu Liao, Cheng Peng · 2019 · arXiv (Cornell University)
- Deep Filtered Back Projection for CT ReconstructionXi Tan, Xinzan Liu, Kai Xiang · 2024 · IEEE Access
- SDCA: a novel stack deep convolutional autoencoder – an application on retinal image denoisingSwarup Kr Ghosh, Biswajit Biswas, Anupam Ghosh · 2019 · IET Image Processing
- Geometric Approaches to Increase the Expressivity of Deep Neural Networks for MR ReconstructionEunju Cha, Gyutaek Oh, Jong Chul Ye · 2020 · IEEE Journal of Selected Topics in Signal Processing
- Topological nanophotonics and artificial neural networksLaura Pilozzi, Francis Allen Farrelly, Giulia Marcucci, Claudio Conti · 2020 · Nanotechnology
- Unified Supervised-Unsupervised (SUPER) Learning for X-Ray CT Image ReconstructionSiqi Ye, Zhipeng Li, Michael T. McCann, Yong Qiang Long, Saiprasad Ravishankar · 2021 · IEEE Transactions on Medical Imaging
- Artificial intelligence and machine learning approaches for smart transportation in smart cities using blockchain architectureSandeep Shenoy Karanchery Sundaresan, K. Suresh Kumar, R. Nishanth, Harold Robinson, Anil Kumar · 2021 · Elsevier eBooks
- Current Advances in Computational Lung Ultrasound Imaging: A ReviewTianqi Yang, Oktay Karakuş, Nantheera Anantrasirichai, Alin Achim · 2022 · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
- Deep-learning-based methods for super-resolution fluorescence microscopyJianhui Liao, Junle Qu, Yongqi Hao · 2022 · Journal of Innovative Optical Health Sciences
- Deep learning-based galaxy image deconvolutionUtsav Akhaury, Jean‐Luc Starck, P. Jablonka, F. Courbin, Kevin Michalewicz · 2022 · Frontiers in Astronomy and Space Sciences
- An Educated Warm Start for Deep Image Prior-Based Micro CT ReconstructionRiccardo Barbano, Johannes Leuschner, Maximilian Schmidt · 2022 · IEEE Transactions on Computational Imaging
- Signal restoration algorithm for photoacoustic imaging systemsSoheil Hakakzadeh, Mohammadreza Amjadian, Yachao Zhang · 2022 · Biomedical Optics Express
- Phenotyping senescent mesenchymal stromal cells using AI image translationLeya Weber, Brandon S. Lee, Sara Imboden, Cho‐Jui Hsieh, Neil Y. C. Lin · 2023 · Current Research in Biotechnology
- Interferenceless coded aperture correlation holography based on Deep-learning reconstruction of Single-shot object hologramMinghua Zhang, Yuhong Wan, Tianlong Man · 2023 · Optics & Laser Technology
- An attention-based deep convolutional neural network for ultra-sparse-view CT reconstructionYinping Chan, Xuan Eric Liu, Tangsheng Wang, Jingjing Dai, Yaoqin Xie, Xiaokun Liang · 2023 · Computers in Biology and Medicine
- An enhanced monthly runoff forecasting using least squares support vector machine based on Harris hawks optimization and secondary decompositionDongmei Xu, Xiao-xue Hu, Wenchuan Wang · 2023 · Earth Science Informatics
- Super-resolution multimode fiber imaging with an untrained neural networkWei Li, Ksenia A. Abrashitova, Lyubov V. Amitonova · 2023 · Optics Letters
- 基于深度学习的稀疏或有限角度CT重建方法研究综述Jianglei Di, 林俊成 Lin Juncheng, 钟丽云 Zhong Liyun, Qian Kemao, 秦玉文 Qin Yuwen · 2023 · Laser & Optoelectronics Progress
- Handwriting identification using deep convolutional neural network methodOka Sudana, I Wayan Gunaya, I Ketut Gede Darma Putra · 2020 · TELKOMNIKA (Telecommunication Computing Electronics and Control)
- A Two-Phase Transfer Learning-Based Power Spectrum Maps Reconstruction Algorithm for Underlay Cognitive Radio NetworksHan Xu, Lei Xue, Ying Xu · 2020 · IEEE Access
- A residual U-Net network with image prior for 3D image denoisingJuan Abascal, Suzanne Bussod, Nicolas Ducros · 2020 · European Signal Processing Conference (EUSIPCO)
- Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approachesSinganallur V. Venkatakrishnan, K. Aditya Mohan, Amirkoushyar Ziabari · 2021 · IEEE Signal Processing Magazine
- Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural NetworksShiwei Lan, Shuyi Li, Babak Shahbaba · 2022 · SIAM/ASA Journal on Uncertainty Quantification
- Uncertainty Quantification with Generative ModelsVanessa Böhm, François Lanusse, Uroš Seljak · 2019 · arXiv (Cornell University)
- DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT ReconstructionCe Wang, Kun Shang, Hai-Miao Zhang, Qian Li, Yuan Hui, S. Zhou · 2021 · arXiv.org