Cover Image

Diffusion Model in Latent Space for Medical Image Segmentation Task

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ngoc, Huynh Trinh, Hai, Toan Nguyen, Son, Ba Luong, Quoc, Long Tran
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LatentFM: A Latent Flow Matching Approach for Generative Medical Image Segmentation
by: Ngoc, Huynh Trinh, et al.
Published: (2025)

Aleatoric Uncertainty Medical Image Segmentation Estimation via Flow Matching
by: Van Nguyen, Phi, et al.
Published: (2025)

Unleashing Diffusion and State Space Models for Medical Image Segmentation
by: Wu, Rong, et al.
Published: (2025)

Lightweight Models for Emotional Analysis in Video
by: Nguyen, Quoc-Tien, et al.
Published: (2025)

A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks
by: Dao, Loan, et al.
Published: (2025)

RotCAtt-TransUNet++: Novel Deep Neural Network for Sophisticated Cardiac Segmentation
by: Nguyen-Le, Quoc-Bao, et al.
Published: (2024)

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

Bidirectional Diffusion Bridge Models
by: Kieu, Duc, et al.
Published: (2025)

DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization
by: Nguyen, Ngoc-Son, et al.
Published: (2026)

ViCLIP-OT: The First Foundation Vision-Language Model for Vietnamese Image-Text Retrieval with Optimal Transport
by: Tran, Quoc-Khang, et al.
Published: (2026)

Vision-Aware Text Features in Referring Image Segmentation: From Object Understanding to Context Understanding
by: Nguyen-Truong, Hai, et al.
Published: (2024)

Latent Expression Generation for Referring Image Segmentation and Grounding
by: Yu, Seonghoon, et al.
Published: (2025)

Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis
by: Yeganeh, Yousef, 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)

AutoViVQA: A Large-Scale Automatically Constructed Dataset for Vietnamese Visual Question Answering
by: Tuong, Nguyen Anh, et al.
Published: (2026)

SegMaFormer: A Hybrid State-Space and Transformer Model for Efficient Segmentation
by: Nguyen, Duy D., et al.
Published: (2026)

Unified Medical Image Segmentation with State Space Modeling Snake
by: Zhang, Ruicheng, et al.
Published: (2025)

Boosting Medical Vision-Language Pretraining via Momentum Self-Distillation under Limited Computing Resources
by: Pham, Phuc, et al.
Published: (2025)

SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation
by: Trinh, Quoc-Huy, et al.
Published: (2024)

HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation
by: Le, Tran Quoc Khanh, et al.
Published: (2025)

Leveraging Model Soups to Classify Intangible Cultural Heritage Images from the Mekong Delta
by: Tran, Quoc-Khang, et al.
Published: (2026)

DocShaDiffusion: Diffusion Model in Latent Space for Document Image Shadow Removal
by: Liu, Wenjie, et al.
Published: (2025)

SegReg: Latent Space Regularization for Improved Medical Image Segmentation
by: Vaish, Puru, et al.
Published: (2026)

CORE-ReID: Comprehensive Optimization and Refinement through Ensemble fusion in Domain Adaptation for person re-identification
by: Nguyen, Trinh Quoc, et al.
Published: (2025)

Cost-Effective Model Evaluation with Meta-Learning
by: Pham, Trinh, et al.
Published: (2026)

QTSeg: A Query Token-Based Dual-Mix Attention Framework with Multi-Level Feature Distribution for Medical Image Segmentation
by: Tran, Phuong-Nam, et al.
Published: (2024)

Enhancing Video Summarization with Context Awareness
by: Huynh-Lam, Hai-Dang, et al.
Published: (2024)

Cluster-based Video Summarization with Temporal Context Awareness
by: Huynh-Lam, Hai-Dang, et al.
Published: (2024)

Merging Context Clustering with Visual State Space Models for Medical Image Segmentation
by: Zhu, Yun, et al.
Published: (2025)

From Specialist to Generalist: Unlocking SAM's Learning Potential on Unlabeled Medical Images
by: Vu, Vi, et al.
Published: (2026)

Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge
by: Baru, Lalith Bharadwaj, et al.
Published: (2025)

DuFal: Dual-Frequency-Aware Learning for High-Fidelity Extremely Sparse-view CBCT Reconstruction
by: Van, Cuong Tran, et al.
Published: (2026)

Color encoding in Latent Space of Stable Diffusion Models
by: Arias, Guillem, et al.
Published: (2025)

Zero-Training Task-Specific Model Synthesis for Few-Shot Medical Image Classification
by: Qin, Yao, et al.
Published: (2025)

Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer
by: Kang, Sungmin, et al.
Published: (2024)

Interactive Medical Image Analysis with Concept-based Similarity Reasoning
by: Huy, Ta Duc, et al.
Published: (2025)

Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging
by: Hamrani, Abderrachid, et al.
Published: (2025)

DescriptorMedSAM: Language-Image Fusion with Multi-Aspect Text Guidance for Medical Image Segmentation
by: Zhang, Wenjie, et al.
Published: (2025)

Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework
by: Nguyen, Cong Huy, et al.
Published: (2026)

Latent Diffusion Models for Attribute-Preserving Image Anonymization
by: Piano, Luca, et al.
Published: (2024)