Latest papers 274

30 papers in the last four weeks, down 6% on the four weeks before. 0.2% of all new papers.

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  1. BREIT: A Framework for Brain Stroke Reconstruction using Multi-Frequency 3D EIT

    Jun 27, 2026Djahid Abdelmoumene, Ishak Ayad, Maï K. Nguyen +1Medical ImagingFourier Neural Operator

  2. HDDPM: Heteroscedastic Denoising Diffusion Probabilistic Model for Quantitative Low-Count Brain PET Recovery

    Jun 26, 2026Raymond Confidence, Udunna C. AnazodoDiffusion Models for Image RestorationImage Reconstruction

  3. Recovering Sharp Conductivity Features in the Finite-Data Calderón Problem with Physics-Informed Neural Networks

    Jun 26, 2026Ali AlHadi Kalout, Pablo Tejerina-Pérez, Konstantin Karchev +5Fourier Feature EmbeddingsImage Reconstruction

  4. Enabling self-supervised learned primal dual with Noise2Inverse

    Jun 25, 2026Antti Sällinen, Siiri Rautio, Santeri Kaupinmäki +1Self-Supervised LearningImage Reconstruction

  5. Dual-Prior Guided Null-Space Learning with Mixture-of-Splines for Arbitrary Medical Slice Super-Resolution

    Jun 25, 2026Haofei Song, Siyuan Xu, Xintian Mao +3Image ReconstructionMedical Image Super-Resolution

  6. Multilevel Stochastic Plug-and-Play for Sparse-View CT Reconstruction

    Jun 23, 2026Antoine De Paepe, Alexandre Bousse, Dimitris VisvikisImage ReconstructionSparse-View CT Reconstruction

  7. Quantum CT via Dynamic Interval Encoding and Prior-Balanced QUBO Reconstruction

    Jun 23, 2026Ao Wang, Yikuang Yuluo, Yujie Liu +7Image ReconstructionSparse-View CT Reconstruction

  8. MambaRaw: Selective State Space Modeling for Efficient 4K Raw Image Reconstruction

    Jun 23, 2026Peize Li, Fanhu Zeng, Tongda Xu +5Learned Image CompressionImage Reconstruction

  9. Differential Unfolding: Efficient Unfolding Reconstruction for Video Snapshot Compressive Imaging

    Jun 23, 2026Muyuan Zhang, Jiancheng Zhang, Haijin Zeng +1Image ReconstructionComputational Imaging

  10. Stochastic Expectation Maximization for Robust State-Space Radio Interferometric Imaging

    Jun 22, 2026Nawel Arab, Mohammed Nabil El Korso, Isabelle Vin +1Image ReconstructionExpectation-Maximization

  11. NullFlow: One-Step Generative Reconstruction

    Jun 21, 2026Xiao Shi, Edward P. Chandler, Chicago Y. Park +2Flow MatchingImage Reconstruction

  12. Adaptive Beam Selection for Efficient Scanning Probe Tomography

    Jun 19, 2026San Dinh, Zichao Wendy Di, Matt MenickellyImage ReconstructionAdaptive Sampling

  13. Non-line-of-sight imaging with arbitrary relay surface geometries via 3D Gaussian Transient Rendering

    Jun 19, 2026Yi Wang, Ziyu Zhan, Yuran Wang +53D ReconstructionImage Reconstruction

  14. ShuffleFlow: Scalable Posterior Inference for Bayesian Inverse Imaging

    Jun 19, 2026Tianao Li, Tjitske Starkenburg, Yu Sun +1Bayesian Inverse ProblemsImage Reconstruction

  15. PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement

    Jun 18, 2026Dong Yeong Kim, Jaewon Choi, Youmin Shin +53D Medical ImagingImage Reconstruction

  16. GB-LSR: A Fast Local Spectral Image Representation with a Single Global Bandwidth for Continuous Reconstruction and Super-Resolution

    Jun 17, 2026Max Shad, Naeem KhoshnevisImplicit Neural RepresentationsImage Reconstruction

  17. Physics-Driven Zero-Shot MRI Reconstruction with Non-local Image Priors

    Jun 13, 2026Lingtong Zhang, Wenlei Li, Mu He +2Self-Supervised LearningImage Reconstruction

  18. More with LESS -- Local Scene Representations for Tactile Imaging

    Jun 12, 2026Zohar Rimon, Elisei Shafer, Tal Tepper +4Tactile Sensing3D Reconstruction

  19. Masked and Predictive Self-Supervised Foundation Models for 3D Brain MRI

    Jun 11, 2026Esra Ergün, Hersh Chandarana, Dan Sodickson +1Medical Imaging Foundation ModelsMasked Autoencoders

  20. An Electric Potential-Augmented Benchmark Dataset for Physics-Guided Image Reconstruction of Electrical Capacitance Tomography

    Jun 10, 2026Xinqi Zhang, Qiming Ma, Lihui PengImage ReconstructionPhysics-Informed ML

  21. IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder

    Jun 9, 2026Yitong Chen, Zijie Diao, Junke Wang +5Visual Representation LearningImage Tokenization

  22. Unsupervised Deep Learning for Limited-Angle STEM-EDX Tomography -- Application to 3D Chemical Analysis of Phase-Change Memory Devices

    Jun 9, 2026Daniel del Pozo Bueno, Serge Brosset, Theo Monniez +3Image ReconstructionComputed Tomography

  23. Reconstructing Synthetic SDO/AIA 193 A EUV Images from He I 10830 A Observations with Diffusion Model Translator

    Jun 7, 2026Marco Marena, Qin Li, Haimin Wang +3Image-to-Image TranslationImage Reconstruction

  24. Texture-preserving implicit neural representation for Cone beam CT truncated reconstruction

    Jun 4, 2026Genyuan Zhang, Junyao Wang, Haoran Lan +3Cone-Beam CTImplicit Neural Representations

  25. Beyond Single Solution: Multi-Hypothesis Collaborative Deep Unfolding Network for Image Compressive Sensing

    Jun 2, 2026Wenxue Cui, Hualin Li, Yuhang Qin +3Image ReconstructionCompressed Sensing

  26. Cross-Modal Hierarchical Fusion for from Multi-Sensor Ground Observation

    May 31, 2026Xinze ZhangImage ReconstructionRemote Sensing

  27. Self-Tuning Regularization for Image Scanning Microscopy

    May 29, 2026Sofia Agostoni, Lisa Cuneo, Christian Daniele +5Image ReconstructionImage Restoration

  28. A unified deeplearning framework for contrast-phase-specific virtual monochromatic imaging

    May 28, 2026Antony Jerald, Hemant K Aggarwal, Brian Nett +4Conditional Image GenerationImage Reconstruction

  29. Versatile Framework with Semantic and Structural guidance for Image Reconstruction from Brain Activity

    May 28, 2026Yizhuo Lu, Changde Du, Qiongyi Zhou +2Neural DecodingImage Reconstruction

  30. Trajectory Constraints for Imaging Inverse Problems

    May 27, 2026Chaoyan Huang, Haijie Yuan, Bharath Subramanian +1Image ReconstructionComputational Imaging