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20232026
most citedDuetMatch: Harmonizing Semi-Supervised Brain MRI Segmentation via Decoupled Branch Optimization

6 citations · 8 across the 8 of their papers we have counts for

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cs.CV2026

Robust White Blood Cell Classification with Stain-Normalized Decoupled Learning and Ensembling

Luu Le, Hoang-Loc Cao, Ha-Hieu Pham +2

White blood cell (WBC) classification is fundamental for hematology applications such as infection assessment, leukemia screening, and treatment monitoring. However, real-world WBC…

cs.CV2026

Scribble-Supervised Medical Image Segmentation with Dynamic Teacher Switching and Hierarchical Consistency

Thanh-Huy Nguyen, Hoang-Loc Cao, Dat T. Chung +5

Scribble-supervised methods have emerged to mitigate the prohibitive annotation burden in medical image segmentation. However, the inherent sparsity of these annotations introduces…

cs.CV20256 cited

DuetMatch: Harmonizing Semi-Supervised Brain MRI Segmentation via Decoupled Branch Optimization

Thanh-Huy Nguyen, Hoang-Thien Nguyen, Vi Vu +6

The limited availability of annotated data in medical imaging makes semi-supervised learning increasingly appealing for its ability to learn from imperfect supervision. Recently, t…

cs.CV2025

Aligning What You Separate: Denoised Patch Mixing for Source-Free Domain Adaptation in Medical Image Segmentation

Quang-Khai Bui-Tran, Thanh-Huy Nguyen, Hoang-Thien Nguyen +5

Source-Free Domain Adaptation (SFDA) is emerging as a compelling solution for medical image segmentation under privacy constraints, yet current approaches often ignore sample diffi…

cs.CV2025

Label-Efficient Cross-Modality Generalization for Liver Segmentation in Multi-Phase MRI

Quang-Khai Bui-Tran, Minh-Toan Dinh, Thanh-Huy Nguyen +3

Accurate liver segmentation in multi-phase MRI is vital for liver fibrosis assessment, yet labeled data is often scarce and unevenly distributed across imaging modalities and vendo…

cs.CV2025

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation

Ha-Hieu Pham, Nguyen Lan Vi Vu, Thanh-Huy Nguyen +4

Accurate gland segmentation in histopathology images is essential for cancer diagnosis and prognosis. However, significant variability in Hematoxylin and Eosin (H&E) staining and t…