:: Library Catalog

Buchumschlag

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Li, Zhuofu, Zhang, Yonghong, Wang, Chengxia, Liu, Shanshan, Song, Xiongkang, Ji, Xuquan, Jiang, Shuai, Zhong, Woquan, Hu, Lei, Li, Weishi
Format:	Preprint
Veröffentlicht:	2023
Schlagworte:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition Robotics
Online-Zugang:	https://arxiv.org/abs/2312.17266
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Robot‐Assisted Positioning for Percutaneous Endoscopic Interlaminar Discectomy
von: Shuai Jiang, et al.
Veröffentlicht: (2025)

CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-assisted Implicit Neural Representation Learning
von: Wu, Ruoyou, et al.
Veröffentlicht: (2024)

An updated overview of radiomics-based artificial intelligence (AI) methods in breast cancer screening and diagnosis
von: Elahi, Reza, et al.
Veröffentlicht: (2024)

ShiftLIC: Lightweight Learned Image Compression with Spatial-Channel Shift Operations
von: Bao, Youneng, et al.
Veröffentlicht: (2025)

LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation
von: Diakite, Alou, et al.
Veröffentlicht: (2024)

Automating Vessel Segmentation in the Heart and Brain: A Trend to Develop Multi-Modality and Label-Efficient Deep Learning Techniques
von: Elsayed, Nazik, et al.
Veröffentlicht: (2024)

Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review
von: Ghasemi, Amirehsan, et al.
Veröffentlicht: (2024)

Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review
von: Redlich, Jan-Philipp, et al.
Veröffentlicht: (2024)

On the Adversarial Robustness of Learning-based Image Compression Against Rate-Distortion Attacks
von: Wu, Chenhao, et al.
Veröffentlicht: (2024)

Spiking neural networks: Towards bio-inspired multimodal perception in robotics
von: Oikonomou, Katerina Maria, et al.
Veröffentlicht: (2024)

Knowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning
von: Wang, Shanshan, et al.
Veröffentlicht: (2024)

Iterative PnP and its application in 3D-2D vascular image registration for robot navigation
von: Song, Jingwei, et al.
Veröffentlicht: (2023)

A robot-assisted pipeline to rapidly scan 1.7 million historical aerial photographs
von: Masson, Sheila, et al.
Veröffentlicht: (2025)

A method for estimating forest carbon storage distribution density via artificial intelligence generated content model
von: Yu, Zhenyu, et al.
Veröffentlicht: (2025)

MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis
von: Liu, Zhaoshan, et al.
Veröffentlicht: (2023)

Uncovering the Over-smoothing Challenge in Image Super-Resolution: Entropy-based Quantification and Contrastive Optimization
von: Xu, Tianshuo, et al.
Veröffentlicht: (2022)

Spatial-Angular Representation Learning for High-Fidelity Continuous Super-Resolution in Diffusion MRI
von: Wu, Ruoyou, et al.
Veröffentlicht: (2025)

Interpretable deep learning illuminates multiple structures fluorescence imaging: a path toward trustworthy artificial intelligence in microscopy
von: Chen, Mingyang, et al.
Veröffentlicht: (2025)

Towards a Comprehensive Benchmark for Pathological Lymph Node Metastasis in Breast Cancer Sections
von: Ling, Xitong, et al.
Veröffentlicht: (2024)

Predicting brain tumour enhancement from non-contrast MR imaging with artificial intelligence
von: Ruffle, James K, et al.
Veröffentlicht: (2025)

Supertoroid fitting of objects with holes for robotic grasping and scene generation
von: Torres, Joan Badia, et al.
Veröffentlicht: (2024)

A reproducible pipeline for extracting representative signals from wire cuts
von: Lin, Yuhang, et al.
Veröffentlicht: (2024)

Modality Exchange Network for Retinogeniculate Visual Pathway Segmentation
von: Han, Hua, et al.
Veröffentlicht: (2024)

Image guidance in deep brain stimulation surgery to treat Parkinson's disease: a review
von: Xiao, Yiming, et al.
Veröffentlicht: (2020)

Data-driven imaging geometric recovery of ultrahigh resolution robotic micro-CT for in-vivo and other applications
von: Li, Mengzhou, et al.
Veröffentlicht: (2024)

Dependability Evaluation of Stable Diffusion with Soft Errors on the Model Parameters
von: Gao, Zhen, et al.
Veröffentlicht: (2024)

Automatic Tuning of Denoising Algorithms Parameters Without Ground Truth
von: Floquet, Arthur, et al.
Veröffentlicht: (2024)

SUSEP-Net: Simulation-Supervised and Contrastive Learning-based Deep Neural Networks for Susceptibility Source Separation
von: Li, Min, et al.
Veröffentlicht: (2025)

Sensitivity Decouple Learning for Image Compression Artifacts Reduction
von: Ma, Li, et al.
Veröffentlicht: (2024)

Deep learning-enabled prediction of surgical errors during cataract surgery: from simulation to real-world application
von: Faure, Maxime, et al.
Veröffentlicht: (2025)

SPICER: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation and Reconstruction
von: Hu, Yuyang, et al.
Veröffentlicht: (2022)

RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs
von: Feng, Anqi, et al.
Veröffentlicht: (2024)

Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models
von: Liu, Jin, et al.
Veröffentlicht: (2025)

Real time enhancement of operator's ergonomics in physical human-robot collaboration scenarios using a multi-stereo camera system
von: Arvanitis, Gerasimos, et al.
Veröffentlicht: (2023)

Generative artificial intelligence in ophthalmology: multimodal retinal images for the diagnosis of Alzheimer's disease with convolutional neural networks
von: Slootweg, I. R., et al.
Veröffentlicht: (2024)

Current and future roles of artificial intelligence in retinopathy of prematurity
von: Jafarizadeh, Ali, et al.
Veröffentlicht: (2024)

Improving the Test-retest Reliability of Quantitative Susceptibility Mapping
von: Huang, Shuai, et al.
Veröffentlicht: (2024)

Plug-and-Play Latent Feature Editing for Orientation-Adaptive Quantitative Susceptibility Mapping Neural Networks
von: Gao, Yang, et al.
Veröffentlicht: (2023)

An iterative closest point algorithm for marker-free 3D shape registration of continuum robots
von: Hoffmann, Matthias K., et al.
Veröffentlicht: (2024)

Physical foundations for trustworthy medical imaging: a review for artificial intelligence researchers
von: Cobo, Miriam, et al.
Veröffentlicht: (2025)