:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sun, Qiang, Ji, Zongcheng, Xiao, Yinlong, Chang, Peng, Yu, Jun
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2512.23185
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DeepEyeNet: Generating Medical Report for Retinal Images
by: Huang, Jia-Hong
Published: (2025)

HYDEN: Hyperbolic Density Representations for Medical Images and Reports
by: Qiao, Zhi, et al.
Published: (2024)

High-Frequency Enhanced Hybrid Neural Representation for Video Compression
by: Yu, Li, et al.
Published: (2024)

Intelligent Healthcare Imaging Platform: A VLM-Based Framework for Automated Medical Image Analysis and Clinical Report Generation
by: Al-Hamadani, Samer
Published: (2025)

ViT3D Alignment of LLaMA3: 3D Medical Image Report Generation
by: Li, Siyou, et al.
Published: (2024)

Domain Generalization for Medical Image Analysis: A Review
by: Yoon, Jee Seok, et al.
Published: (2023)

Chaos-Enhanced Prototypical Networks for Few-Shot Medical Image Classification
by: Sai, Chinthakuntla Meghan, et al.
Published: (2026)

RELICT: A Replica Detection Framework for Medical Image Generation
by: Aydin, Orhun Utku, et al.
Published: (2025)

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey
by: Yang, Hao, et al.
Published: (2025)

Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion
by: Zhou, Meng, et al.
Published: (2024)

SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution
by: Ekanayake, Mevan, et al.
Published: (2024)

Learning to Select Like Humans: Explainable Active Learning for Medical Imaging
by: Uddin, Ifrat Ikhtear, et al.
Published: (2026)

Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports
by: Zhang, Yutong, et al.
Published: (2024)

Ultrasound Report Generation with Multimodal Large Language Models for Standardized Texts
by: Ge, Peixuan, et al.
Published: (2025)

Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation
by: Zhou, Xuanru, et al.
Published: (2025)

DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning
by: Lin, Hui, et al.
Published: (2024)

Can General-Purpose Omnimodels Compete with Specialists? A Case Study in Medical Image Segmentation
by: Zhang, Yizhe, et al.
Published: (2025)

SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images
by: Chen, Shuhang, et al.
Published: (2025)

Landmark Detection for Medical Images using a General-purpose Segmentation Model
by: Stansfield, Ekaterina, et al.
Published: (2025)

Wave-GMS: Lightweight Multi-Scale Generative Model for Medical Image Segmentation
by: Ahmed, Talha, et al.
Published: (2025)

IQNet: Image Quality Assessment Guided Just Noticeable Difference Prefiltering For Versatile Video Coding
by: Sun, Yu-Han, et al.
Published: (2023)

Enhanced MRI Representation via Cross-series Masking
by: Wang, Churan, et al.
Published: (2024)

MedSAM2: Segment Anything in 3D Medical Images and Videos
by: Ma, Jun, et al.
Published: (2025)

Multimodal Learning for Scalable Representation of High-Dimensional Medical Data
by: Alsaafin, Areej, et al.
Published: (2024)

Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models
by: Mao, Yuchen, et al.
Published: (2025)

Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation
by: Wang, Xin, et al.
Published: (2024)

RelativeFlow: Taming Medical Image Denoising Learning with Noisy Reference
by: Liu, Yuxin, et al.
Published: (2026)

Recent Advances in Medical Image Classification
by: Dao, Loan, et al.
Published: (2025)

MAISI: Medical AI for Synthetic Imaging
by: Guo, Pengfei, et al.
Published: (2024)

Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration
by: Zhou, Xiaogen, et al.
Published: (2024)

Mechanisms of Generative Image-to-Image Translation Networks
by: Chen, Guangzong, et al.
Published: (2024)

LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
by: Tran, Ngoc-Du, et al.
Published: (2024)

Improving Representation of High-frequency Components for Medical Visual Foundation Models
by: Chu, Yuetan, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks
by: Li, Binghua, et al.
Published: (2025)

Fairness Evolution in Continual Learning for Medical Imaging
by: Ceccon, Marina, et al.
Published: (2024)

Investigating Label Bias and Representational Sources of Age-Related Disparities in Medical Segmentation
by: Parikh, Aditya, et al.
Published: (2025)

FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
by: Tian, Yu, et al.
Published: (2024)

AMRG: Extend Vision Language Models for Automatic Mammography Report Generation
by: Sung, Nak-Jun, et al.
Published: (2025)

Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2
by: Müller-Franzes, Gustav, et al.
Published: (2024)

Mutual Evidential Deep Learning for Medical Image Segmentation
by: He, Yuanpeng, et al.
Published: (2025)