:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xin, Zhuoyao, Zhang, Yiren, Wu, Christopher, Liu, Dong, Gu, Chunming, Greco, Elena, Middlebrooks, Erik H., Hua, Jun, Guo, Jia
Format:	Preprint
Published:	2026
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2605.00923
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A proof‐of‐concept study of multitask learning for cranial synthetic CT generation across heterogeneous MRI field strengths
by: Zhuoyao Xin, et al.
Published: (2026)

Automatically Generating Narrative-Style Radiology Reports from Volumetric CT Images; a Proof of Concept
by: Borghouts, Marijn
Published: (2024)

Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation
by: Ferreira, André, et al.
Published: (2025)

GOUHFI: a novel contrast- and resolution-agnostic segmentation tool for Ultra-High Field MRI
by: Fortin, Marc-Antoine, et al.
Published: (2025)

Pre-examinations Improve Automated Metastases Detection on Cranial MRI
by: Deike-Hofmann, Katerina, et al.
Published: (2024)

Enhancing Brain Age Estimation with a Multimodal 3D CNN Approach Combining Structural MRI and AI-Synthesized Cerebral Blood Volume Measures
by: Jomsky, Jordan, et al.
Published: (2024)

Assimilation of SWOT Altimetry and Sentinel-1 Flood Extent Observations for Flood Reanalysis -- A Proof-of-Concept
by: Nguyen, Thanh Huy, et al.
Published: (2024)

Deep Learning-based MRI Reconstruction with Artificial Fourier Transform Network (AFTNet)
by: Yang, Yanting, et al.
Published: (2023)

Towards Digital Twin in Flood Forecasting with Data Assimilation Satellite Earth Observations -- A Proof-of-Concept in the Alzette Catchment
by: Nguyen, Thanh Huy, et al.
Published: (2025)

VHU-Net: Variational Hadamard U-Net for Body MRI Bias Field Correction
by: Zhu, Xin, et al.
Published: (2025)

Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputs
by: Gösche, Erik, et al.
Published: (2024)

Optimization of Dark-Field CT for Lung Imaging
by: Guo, Peiyuan, et al.
Published: (2024)

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
by: Arratia, Pablo, et al.
Published: (2025)

GAMBAS: Generalised-Hilbert Mamba for Super-resolution of Paediatric Ultra-Low-Field MRI
by: Baljer, Levente, et al.
Published: (2025)

An Arbitrary-Modal Fusion Network for Volumetric Cranial Nerves Tract Segmentation
by: Xie, Lei, et al.
Published: (2025)

Photon-counting CT using a Conditional Diffusion Model for Super-resolution and Texture-preservation
by: Wiedeman, Christopher, et al.
Published: (2024)

Keep the Core: Adversarial Priors for Significance-Preserving Brain MRI Segmentation
by: Zhang, Feifei, et al.
Published: (2025)

Generative MR Multitasking with complex-harmonic cardiac encoding: Bridging the gap between gated imaging and real-time imaging
by: Fang, Xinguo, et al.
Published: (2025)

Anatomy-Guided Multitask Learning for MRI-Based Classification of Placenta Accreta Spectrum and its Subtypes
by: Jiang, Hai, et al.
Published: (2025)

Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding
by: Aggarwal, Himanshu, et al.
Published: (2024)

Concept-based Explainable Malignancy Scoring on Pulmonary Nodules in CT Images
by: Dumaev, Rinat I., et al.
Published: (2024)

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

MM2CT: MR-to-CT translation for multi-modal image fusion with mamba
by: Gong, Chaohui, et al.
Published: (2025)

FedSynthCT-Brain: A Federated Learning Framework for Multi-Institutional Brain MRI-to-CT Synthesis
by: Raggio, Ciro Benito, et al.
Published: (2024)

Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders
by: Wodzinski, Marek, et al.
Published: (2024)

CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT Denoising
by: Li, Linxuan, et al.
Published: (2024)

Variational U-Net with Local Alignment for Joint Tumor Extraction and Registration (VALOR-Net) of Breast MRI Data Acquired at Two Different Field Strengths
by: Khan, Muhammad Shahkar, et al.
Published: (2025)

Synthetic Skull CT Generation with Generative Adversarial Networks to Train Deep Learning Models for Clinical Transcranial Ultrasound
by: Naftchi-Ardebili, Kasra, et al.
Published: (2023)

Multisession Longitudinal Dynamic MRI Incorporating Patient-Specific Prior Image Information Across Time
by: Chen, Jingjia, et al.
Published: (2025)

Enhancing Cross-Modality Synthesis: Subvolume Merging for MRI-to-CT Conversion
by: Fan, Fuxin, et al.
Published: (2024)

HemSeg-200: A Voxel-Annotated Dataset for Intracerebral Hemorrhages Segmentation in Brain CT Scans
by: Song, Changwei, et al.
Published: (2024)

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction
by: Wang, Zi, et al.
Published: (2023)

MRI-to-CT synthesis using drifting models
by: Lyu, Qing, et al.
Published: (2026)

Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation
by: Zhang, Zheyuan, et al.
Published: (2025)

Tractography-Guided Dual-Label Collaborative Learning for Multi-Modal Cranial Nerves Parcellation
by: Xie, Lei, et al.
Published: (2025)

Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models
by: Zuo, Lianrui, et al.
Published: (2025)

A Total Variation Regularized Framework for Epilepsy-Related MRI Image Segmentation
by: Rabiee, Mehdi, et al.
Published: (2025)

Neural Orientation Distribution Fields for Estimation and Uncertainty Quantification in Diffusion MRI
by: Consagra, William, et al.
Published: (2023)

Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning
by: Zhang, Zheyuan, et al.
Published: (2024)

A Unified Framework for Foreground and Anonymization Area Segmentation in CT and MRI Data
by: Nohel, Michal, et al.
Published: (2025)