Cover Image

Learning neural representations for X-ray ptychography reconstruction with unknown probes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Tingyou, Xu, Zixin, Gao, Zirui, Yan, Hanfei, Huang, Xiaojing, Li, Jizhou
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Coordinate-based Neural Network for Fourier Phase Retrieval
by: Li, Tingyou, et al.
Published: (2023)

Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine
by: Zhao, Chonghang, et al.
Published: (2025)

Boosting of Implicit Neural Representation-based Image Denoiser
by: Yan, Zipei, et al.
Published: (2024)

3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation
by: Fu, Xueming, et al.
Published: (2024)

Hyperspectral and multispectral image fusion with arbitrary resolution through self-supervised representations
by: Wang, Ting, et al.
Published: (2024)

Implicit neural representations for end-to-end PET reconstruction
by: Moussaoui, Younès, et al.
Published: (2025)

LamiGauss: Pitching Radiative Gaussian for Sparse-View X-ray Laminography Reconstruction
by: Chen, Chu, et al.
Published: (2025)

H-SIREN: Improving implicit neural representations with hyperbolic periodic functions
by: Gao, Rui, et al.
Published: (2024)

Enhancing Chest X-ray Classification through Knowledge Injection in Cross-Modality Learning
by: Yan, Yang, et al.
Published: (2025)

Learning predictable and robust neural representations by straightening image sequences
by: Niu, Xueyan, et al.
Published: (2024)

Universal dimensions of visual representation
by: Chen, Zirui, et al.
Published: (2024)

Predicting ptychography probe positions using single-shot phase retrieval neural network
by: Du, Ming, et al.
Published: (2024)

Mismatch reconstruction theory for unknown measurement matrix in imaging through multimode fiber bending
by: Yang, Le
Published: (2025)

Batch-FPM: Random batch-update multi-parameter physical Fourier ptychography neural network
by: Sun, Ruiqing, et al.
Published: (2024)

DUCX: Decomposing Unfairness in Tool-Using Chest X-ray Agents
by: Xu, Zikang, et al.
Published: (2026)

MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation
by: Jiang, Shenwang, et al.
Published: (2024)

SERES: Semantic-aware neural reconstruction from sparse views
by: Xu, Bo, et al.
Published: (2025)

NF-SLAM: Effective, Normalizing Flow-supported Neural Field representations for object-level visual SLAM in automotive applications
by: Cui, Li, et al.
Published: (2025)

Learning Fourier shapes to probe the geometric world of deep neural networks
by: Wang, Jian, et al.
Published: (2025)

Towards reconstructing experimental sparse-view X-ray CT data with diffusion models
by: Thomsen, Nelas J., et al.
Published: (2026)

Thought Graph Traversal for Test-time Scaling in Chest X-ray VLLMs
by: Yao, Yue, et al.
Published: (2025)

Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction
by: Feng, Jie, et al.
Published: (2022)

Efficient Chest X-ray Representation Learning via Semantic-Partitioned Contrastive Learning
by: Feng, Wangyu, et al.
Published: (2026)

HICT: High-precision 3D CBCT reconstruction from a single X-ray
by: Ma, Wen, et al.
Published: (2026)

X-ray illicit object detection using hybrid CNN-transformer neural network architectures
by: Cani, Jorgen, et al.
Published: (2025)

Deep Learning Techniques for Automatic Lateral X-ray Cephalometric Landmark Detection: Is the Problem Solved?
by: Zhang, Hongyuan, et al.
Published: (2024)

Interlaced dynamic XCT reconstruction with spatio-temporal implicit neural representations
by: Boulanger, Mathias, et al.
Published: (2025)

Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
by: Dong, Songlin, et al.
Published: (2025)

Facial-R1: Aligning Reasoning and Recognition for Facial Emotion Analysis
by: Wu, Jiulong, et al.
Published: (2025)

Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation
by: Li, Xiang, et al.
Published: (2025)

X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction
by: Wang, Feiran, et al.
Published: (2025)

CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer
by: Li, Xinran, et al.
Published: (2025)

XSeg: A Large-scale X-ray Contraband Segmentation Benchmark For Real-World Security Screening
by: Gao, Hongxia, et al.
Published: (2026)

X-ray Insights Unleashed: Pioneering the Enhancement of Multi-Label Long-Tail Data
by: Yang, Xinquan, et al.
Published: (2025)

X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning
by: Panagopoulou, Artemis, et al.
Published: (2023)

SynCL: A Synergistic Training Strategy with Instance-Aware Contrastive Learning for End-to-End Multi-Camera 3D Tracking
by: Lin, Shubo, et al.
Published: (2024)

OccLoff: Learning Optimized Feature Fusion for 3D Occupancy Prediction
by: Zhang, Ji, et al.
Published: (2024)

Dynamic semantic VSLAM with known and unknown objects
by: Gu, Sanghyoup, et al.
Published: (2024)

Achieving detailed medial temporal lobe segmentation with upsampled isotropic training from implicit neural representation
by: Li, Yue, et al.
Published: (2025)

Hybrid Explanation-Guided Learning for Transformer-Based Chest X-Ray Diagnosis
by: Shu, Shelley Zixin, et al.
Published: (2025)