Cover Image

Adapting Frozen Mono-modal Backbones for Multi-modal Registration via Contrast-Agnostic Instance Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yi, Zhao, Yidong, Tao, Qian
Format:	Preprint
Published:	2026
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Instance Optimization in Deformable Image Registration with Gradient Projection
by: Zhang, Yi, et al.
Published: (2024)

Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models
by: Zhang, Yi, et al.
Published: (2025)

Set-Based Groupwise Registration for Variable-Length, Variable-Contrast Cardiac MRI
by: Zhang, Yi, et al.
Published: (2026)

Recurrent Inference Machine for Medical Image Registration
by: Zhang, Yi, et al.
Published: (2024)

Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction
by: Zhao, Yidong, et al.
Published: (2024)

Deep-learning-based groupwise registration for motion correction of cardiac $T_1$ mapping
by: Zhang, Yi, et al.
Published: (2024)

Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base
by: Zhao, Yidong, et al.
Published: (2024)

Rink-Agnostic Hockey Rink Registration
by: Shang, Jia Cheng, et al.
Published: (2023)

Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
by: Liu, Jiyao, et al.
Published: (2024)

CC-DCNet: Dynamic Convolutional Neural Network with Contrastive Constraints for Identifying Lung Cancer Subtypes on Multi-modality Images
by: Jin, Yuan, et al.
Published: (2024)

Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation
by: Zhou, Ruojun, et al.
Published: (2024)

Multi-modal Contrastive Learning for Tumor-specific Missing Modality Synthesis
by: Lim, Minjoo, et al.
Published: (2025)

Multi-modality transrectal ultrasound video classification for identification of clinically significant prostate cancer
by: Wu, Hong, et al.
Published: (2024)

Groupwise Registration with Physics-Informed Test-Time Adaptation on Multi-parametric Cardiac MRI
by: Li, Xinqi, et al.
Published: (2025)

Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution
by: Lin, Junxiong, et al.
Published: (2024)

Multi-modal brain MRI synthesis based on SwinUNETR
by: Pang, Haowen, et al.
Published: (2025)

Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis
by: Zhang, Shichuan, et al.
Published: (2024)

UniMIC: Towards Universal Multi-modality Perceptual Image Compression
by: Gao, Yixin, et al.
Published: (2024)

Multi-modal data generation with a deep metric variational autoencoder
by: Sundgaard, Josefine Vilsbøll, et al.
Published: (2022)

A Multi-annotated and Multi-modal Dataset for Wide-angle Video Quality Assessment
by: Hu, Bo, et al.
Published: (2025)

Cross-Fundus Transformer for Multi-modal Diabetic Retinopathy Grading with Cataract
by: Xiao, Fan, et al.
Published: (2024)

An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis
by: Zhou, Ziyu, et al.
Published: (2024)

I2I-Mamba: Multi-modal medical image synthesis via selective state space modeling
by: Atli, Omer F., et al.
Published: (2024)

Multi-modal Deep Learning
by: Yuhua, Chen
Published: (2024)

Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation
by: Zhong, Zhusi, et al.
Published: (2024)

Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
by: Wu, Hong, et al.
Published: (2024)

Multi-modal Liver Segmentation and Fibrosis Staging Using Real-world MRI Images
by: Zhou, Yang, et al.
Published: (2025)

PE-MVCNet: Multi-view and Cross-modal Fusion Network for Pulmonary Embolism Prediction
by: Guo, Zhaoxin, et al.
Published: (2024)

Confidence-aware multi-modality learning for eye disease screening
by: Zou, Ke, et al.
Published: (2024)

Multi-modal Intermediate Feature Interaction AutoEncoder for Overall Survival Prediction of Esophageal Squamous Cell Cancer
by: Wu, Chengyu, et al.
Published: (2024)

Deep Unfolding Network with Spatial Alignment for multi-modal MRI reconstruction
by: Zhang, Hao, et al.
Published: (2023)

Multi-sensor Learning Enables Information Transfer across Different Sensory Data and Augments Multi-modality Imaging
by: Zhu, Lingting, et al.
Published: (2024)

TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion
by: Tian, Xin, et al.
Published: (2024)

MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction
by: Cui, Jiaqi, et al.
Published: (2024)

Multi-modal Uncertainty Robust Tree Cover Segmentation For High-Resolution Remote Sensing Images
by: Gui, Yuanyuan, et al.
Published: (2025)

Reliable Multi-modal Medical Image-to-image Translation Independent of Pixel-wise Aligned Data
by: Zhou, Langrui, et al.
Published: (2024)

GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains
by: Liu, Zixuan, et al.
Published: (2025)

Zero-shot Multi-Contrast Brain MRI Registration by Intensity Randomizing T1-weighted MRI (LUMIR25)
by: Liu, Hengjie, et al.
Published: (2026)

FIRE: Unsupervised bi-directional inter-modality registration using deep networks
by: Wang, Chengjia, et al.
Published: (2019)

AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review
by: Jin, Rui, et al.
Published: (2024)