Reliable Multi-modal Medical Image-to-image Translation Independent of Pixel-wise Aligned Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Langrui, Li, Guang
Format:	Preprint
Published:	2024
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

Neighboring Slice Noise2Noise: Self-Supervised Medical Image Denoising from Single Noisy Image Volume
by: Zhou, Langrui, et al.
Published: (2024)

Pixel-wise Modulated Dice Loss for Medical Image Segmentation
by: Hosseini, Seyed Mohsen
Published: (2025)

Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study
by: Kim, Jonghun, et al.
Published: (2023)

PixelShuffler: A Simple Image Translation Through Pixel Rearrangement
by: Zamzam, Omar
Published: (2024)

Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation
by: Zhou, Yinchi, et al.
Published: (2024)

Ambient-Pix2PixGAN for Translating Medical Images from Noisy Data
by: Chen, Wentao, et al.
Published: (2024)

Multi-resolution Guided 3D GANs for Medical Image Translation
by: Ha, Juhyung, et al.
Published: (2024)

Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?
by: Lin, Tianyu, et al.
Published: (2025)

Few-Shot Distribution-Aligned Flow Matching for Data Synthesis in Medical Image Segmentation
by: Yang, Jie, et al.
Published: (2026)

Beyond Pixels: Medical Image Quality Assessment with Implicit Neural Representations
by: Özer, Caner, et al.
Published: (2025)

Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images
by: Xing, Xiaodan, et al.
Published: (2024)

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

Cross-conditioned Diffusion Model for Medical Image to Image Translation
by: Xing, Zhaohu, et al.
Published: (2024)

Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction
by: Chen, Huan, et al.
Published: (2023)

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model
by: Wang, Haofeng, et al.
Published: (2025)

Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learning
by: Rukundo, Olivier
Published: (2023)

Structure-Accurate Medical Image Translation via Dynamic Frequency Balance and Knowledge Guidance
by: Xu, Jiahua, et al.
Published: (2025)

FDDM: Unsupervised Medical Image Translation with a Frequency-Decoupled Diffusion Model
by: Li, Yunxiang, et al.
Published: (2023)

Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation
by: Ma, Chao, et al.
Published: (2024)

pyMEAL: A Multi-Encoder Augmentation-Aware Learning for Robust and Generalizable Medical Image Translation
by: Ilyas, Abdul-mojeed Olabisi, et al.
Published: (2025)

Self-Consistent Recursive Diffusion Bridge for Medical Image Translation
by: Arslan, Fuat, et al.
Published: (2024)

AV-GAN: Attention-Based Varifocal Generative Adversarial Network for Uneven Medical Image Translation
by: Li, Zexin, et al.
Published: (2024)

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

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

Towards Reliable Medical Image Segmentation by Modeling Evidential Calibrated Uncertainty
by: Zou, Ke, et al.
Published: (2023)

A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis
by: Zubair, Muhammad, et al.
Published: (2025)

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

We Care Each Pixel: Calibrating on Medical Segmentation Model
by: Liang, Wenhao, et al.
Published: (2025)

REACT-KD: Region-Aware Cross-modal Topological Knowledge Distillation for Interpretable Medical Image Classification
by: Chen, Hongzhao, et al.
Published: (2025)

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

Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image Translation
by: Huang, Chuan, et al.
Published: (2024)

Lightweight Medical Image Restoration via Integrating Reliable Lesion-Semantic Driven Prior
by: Zheng, Pengcheng, et al.
Published: (2025)

Segmenting Medical Images with Limited Data
by: Liua, Zhaoshan, et al.
Published: (2024)

Semi-Supervised Disease Classification based on Limited Medical Image Data
by: Zhang, Yan, et al.
Published: (2024)

From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images
by: Wu, Junyang, et al.
Published: (2024)

Denoising via Repainting: an image denoising method using layer wise medical image repainting
by: Pal, Arghya, et al.
Published: (2025)

Image Super-Resolution Using T-Tetromino Pixels
by: Grosche, Simon, et al.
Published: (2021)

Improving Editability in Image Generation with Layer-wise Memory
by: Kim, Daneul, et al.
Published: (2025)

Similarity-aware Syncretic Latent Diffusion Model for Medical Image Translation with Representation Learning
by: Lin, Tingyi, et al.
Published: (2024)

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images
by: TehraniNasab, Zahra, et al.
Published: (2025)