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IEEE Trans. on Computational Imaging @IEEE_TCI
Joined October 2022
  • Tweets 98
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  • Followers 642
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Hello computational imaging friends and researchers 👋Follow this account for updates on newly published Trans. on Computational Imaging papers and news!
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📣 "A Convergent Generalized Krylov Subspace Method for CS MRI Reconstruction with Gradient-Driven Denoisers" now on Early Access! ieeexplore.ieee.org/document… 🗞️Reconst. with gradient-driven denoisers, achieving nonconvex convergence and fast reconst. for non-Cartesian acquisitions
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📣📣"Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO)"by @sidgautam95,@MRInicole et al. Now on Early Access! ieeexplore.ieee.org/document… 🗞️A scan-adaptive MRI undersampling framework that selects optimized Cartesian masks per scan, outperforming fixed sampling
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📣📣"Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in CS MRI Reconst"ieeexplore.ieee.org/document… 🗞️A complex quasi-Newton proximal method for CS MRI reconst. that integrates gradient-driven denoisers with a Hermitian positive-definite Hessian estimate
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📣📣"Using Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction" ieeexplore.ieee.org/document… A method to compute/apply a randomized Nyström-based preconditioner on-the-fly using forward/adjoint operators, accelerating large-scale variational image reconst
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📣📣 "Limitations of Data-Driven Spectral Reconstruction: An Optics-Aware Analysis" by @__QiangFu__ @EunsueChoi @SuhyunShin9812 @SeungHwanBaek8 et al. Now on Early Access! ieeexplore.ieee.org/document… 🗞️ How metamerism and limited dataset diversity constrain RGB-to-spectral reconst.
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🗞️Looking to accelerate compressed sensing MRI reconstruction? Check out "Provable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction", which introduces a provable plug-and-play framework to achieve faster reconstruction. ieeexplore.ieee.org/document…
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📣📣"Fourier Analysis of Interference Scanning Optical Probe Microscopy" by @EmmanuelSoubies et al. ieeexplore.ieee.org/document… A Fourier analysis of Interf. Scanning Optical probe Microscopy (ISOM), offering new insights into this modality operating in the intermediate-field regime
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📣📣"DAMMER: Direct Adaptive Multi-Resolution MEsh Reconstruction From X-Ray Measurements" by @imec_visionlab ieeexplore.ieee.org/document… DAMMER adaptively reconstructs attenuation values on a progressively optimized triangle mesh, diminishing partial volume effects. @FWOVlaanderen
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📣📣"Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction to ICF Applications"by @Xiaojian_Xu, @JasonHu07825282 et al: ieeexplore.ieee.org/document… 3D image reconst. using 2D convolutions with novel axis-swapping operations, avoiding volume slicing.
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📣📣"Laser Protection via Jointly Learned Defocus and Image Reconstruction" by @jojomey87 et al. at @FraunhoferIOSB: ieeexplore.ieee.org/document… A novel method protects optical sensors from laser damage by defocusing the imaging system and using an optimized CA and ML reconstruction.
Laser Protection via Jointly Learned Defocus and Image Reconstruction

ALT Laser Protection via Jointly Learned Defocus and Image Reconstruction
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🎉 Exciting News from the IEEE TCI! 📈 We are thrilled to announce that our journal's Impact Factor has increased to 4.8, as published in the 2025 Journal Citation Reports by Clarivate!. 🙏 A heartfelt thank you to our global community of contributors and readers. #ThankYou
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🚀 Stay updated with the latest in computational imaging! Follow us on LinkedIn for news, paper highlights, and updates from IEEE Transactions on Computational Imaging. 🔗 Connect here: linkedin.com/company/ieee-tr… #ComputationalImaging #IEEE #TCI #Research

IEEE Transactions on Computational Imaging | LinkedIn

IEEE Transactions on Computational Imaging | 240 followers on LinkedIn. The IEEE Transactions on Computational Imaging will publish articles where computation plays an integral role in the image...

linkedin.com
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📢📢Multi-layered Surface Estimation for Low-cost Optical Coherence Tomography If you're curious how you can implement a low-cost optical coherence tomography system don't miss this paper by J. Rapp et al. from @merl_news Now on early access: ieeexplore.ieee.org/document…
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📽️📽️ New spotlight video for "PRNet: Pyramid Restoration Network for RAW Image Super-Resolution" by Ling et al. Check it out on our channel: youtu.be/nMD2YDwqN-Y Paper: ieeexplore.ieee.org/document…

Spotlight: PRNet: Pyramid Restoration Network for RAW Image Super-R...

Spotlight presentation for the paper:M. Ling, K. Chang, M. Huang,...

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📢📢 Want to learn more about the @IEEE_TCI paper "A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI" by Hong, Hernandez-Garcia, and Fessler from @UMichCSE? Check out the spotlight! youtu.be/1koOC6YHRTo Paper: ieeexplore.ieee.org/document…
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Inverse Problems: Discrete or Continuous? @MehrsaPourya et al. from @big_epfl explain that box splines and multi-res bridge the gap: "A Box-Spline Framework for Inverse Problems with Continuous-Domain Sparsity Constraints” On early access: ieeexplore.ieee.org/document…
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Got highly compressed and noisy radar data? Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO Imaging by Oral (@okyanus_oral) and Oktem from the Middle East Technical University (@metu_eee) ieeexplore.ieee.org/document…
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📣📣 "Local monotone operator learning using non-monotone operators: MnM-MOL", by M. John, J.R. Chand, and M. Jacob from @UIowaEngr now on early access! ieeexplore.ieee.org/document… For a sneak peek, watch this spotlight presentation: youtu.be/E9NedZY-EeU
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If you want to learn the best kept secrets of non-blind Poisson deconvolution, check out our newest spotlight video: youtu.be/hMBKJxjk3ZU 🤫🤫 Paper: ieeexplore.ieee.org/document… by Gnanasambandam, Sanghvi and @stanley_h_chan from @PurdueECE.
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Can perceptual losses improve ultrasound computed tomography reconstructions? Yes! Check out the spotlight presentation prepared by Luke Lozenski on our YouTube channel: youtu.be/7TWyuGo2AOQ
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Paper: "Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography" by Lozenski, Wang, Li, Anastasio, Wohlberg, @youzuolin1, and @villa_umberto @AnastasioLab Access the manuscript: ieeexplore.ieee.org/document…
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