:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Guo, Yuyu, Bi, Lei, Zhu, Zhengbin, Feng, David Dagan, Zhang, Ruiyan, Wang, Qian, Kim, Jinman
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2412.12853
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration
by: Meng, Mingyuan, et al.
Published: (2023)

Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration
by: Meng, Mingyuan, et al.
Published: (2024)

PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network
by: Xue, Yuxin, et al.
Published: (2023)

AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images
by: Meng, Mingyuan, et al.
Published: (2023)

Z-SSMNet: Zonal-aware Self-supervised Mesh Network for Prostate Cancer Detection and Diagnosis with Bi-parametric MRI
by: Yuan, Yuan, et al.
Published: (2022)

3DPX: Progressive 2D-to-3D Oral Image Reconstruction with Hybrid MLP-CNN Networks
by: Li, Xiaoshuang, et al.
Published: (2024)

3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction
by: Li, Xiaoshuang, et al.
Published: (2024)

Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention
by: Meng, Mingyuan, et al.
Published: (2024)

Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation
by: Wang, Chuhan, et al.
Published: (2025)

A Wearable ECG Device for Differentiating Hypertrophic Cardiomyopathy from Acquired Left Ventricular Hypertrophy
by: Li, Jiachen, et al.
Published: (2026)

Adversarial Deep Learning for Simultaneous Segmentation of Ventricular and White Matter Hyperintensities in Clinical MRI
by: Bawil, Mahdi Bashiri, et al.
Published: (2025)

Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography
by: Jeong, Gangwon, et al.
Published: (2023)

Integrating Deep Unfolding with Direct Diffusion Bridges for Computed Tomography Reconstruction
by: Verinaz-Jadan, Herman, et al.
Published: (2024)

NERD: Network-Regularized Diffusion Sampling For 3D Computed Tomography
by: Liang, Shijun, et al.
Published: (2025)

Deep Image Prior for Computed Tomography Reconstruction
by: Arridge, Simon, et al.
Published: (2026)

Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation
by: Liu, Jianan, et al.
Published: (2022)

Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging
by: Zhou, Yusheng, et al.
Published: (2023)

Sequential Spatial-Temporal Network for Interpretable Automatic Ultrasonic Assessment of Fetal Head during labor
by: Gan, Jie, et al.
Published: (2025)

Using Spatial Diffusions for Optoacoustic Tomography Image Reconstruction
by: Gonzalez, Martin G., et al.
Published: (2024)

Dynamic Position Transformation and Boundary Refinement Network for Left Atrial Segmentation
by: Xu, Fangqiang, et al.
Published: (2024)

LiNUS: Lightweight Automatic Segmentation of Deep Brain Nuclei for Real-Time DBS Surgery
by: Zhang, Shuo, et al.
Published: (2026)

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

Development of Focused X-ray Luminescence Compute Tomography Imaging
by: Fang, Yile, et al.
Published: (2024)

Implicit Neural Representation for Sparse-view Photoacoustic Computed Tomography
by: Yao, Bowei, et al.
Published: (2024)

CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography
by: Deng, Yang, et al.
Published: (2021)

AGFA-Net: Attention-Guided and Feature-Aggregated Network for Coronary Artery Segmentation using Computed Tomography Angiography
by: Liu, Xinyun, et al.
Published: (2024)

Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection
by: Kiranyaz, Serkan, et al.
Published: (2020)

Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function
by: Zhou, Shijia, et al.
Published: (2024)

Automated Muscle and Fat Segmentation in Computed Tomography for Comprehensive Body Composition Analysis
by: Chen, Yaqian, et al.
Published: (2025)

A Plug-and-Play Untrained Neural Network for Full Waveform Inversion in Reconstructing Sound Speed Images of Ultrasound Computed Tomography
by: Yan, Weicheng, et al.
Published: (2024)

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
by: Xu, Murong, et al.
Published: (2025)

Learned Correction Methods for Ultrasound Computed Tomography Imaging Using Simplified Physics Models
by: Lozenski, Luke, et al.
Published: (2025)

Early detection of hip periprosthetic joint infections through CNN on Computed Tomography images
by: Guarnera, Francesco, et al.
Published: (2023)

Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning
by: Kepp, Timo, et al.
Published: (2020)

Deep Learning-Based Approach for Automatic 2D and 3D MRI Segmentation of Gliomas
by: Janardhan, Kiranmayee, et al.
Published: (2025)

MSSPN: Automatic First Arrival Picking using Multi-Stage Segmentation Picking Network
by: Wang, Hongtao, et al.
Published: (2022)

Pixel-weighted Multi-pose Fusion for Metal Artifact Reduction in X-ray Computed Tomography
by: Yang, Diyu, et al.
Published: (2024)

Physics-informed Score-based Diffusion Model for Limited-angle Reconstruction of Cardiac Computed Tomography
by: Han, Shuo, et al.
Published: (2024)

EDU-Net: Retinal Pathological Fluid Segmentation in OCT Images with Multiscale Feature Fusion and Boundary Optimization
by: Lei, Zijun, et al.
Published: (2026)

Hard Spatial Gating for Precision-Driven Brain Metastasis Segmentation: Addressing the Over-Segmentation Paradox in Deep Attention Networks
by: Prerona, Rowzatul Zannath
Published: (2025)