1 citations · 1 across the 5 of their papers we have counts for
6 papers
CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification
Hexin Dong, Yi Lin, Pengyu Zhou +25
Chest X-ray (CXR) interpretation is hindered by the long-tailed distribution of pathologies and the open-world nature of clinical environments. Existing benchmarks often rely on cl…
Seeing Through the Tool: A Controlled Benchmark for Occlusion Robustness in Foundation Segmentation Models
Nhan Ho, Luu Le, Thanh-Huy Nguyen +3
Occlusion, where target structures are partially hidden by surgical instruments or overlapping tissues, remains a critical yet underexplored challenge for foundation segmentation m…
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…
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…
Improved Segmentation of Polyps and Visual Explainability Analysis
Akwasi Asare, Thanh-Huy Nguyen, Ulas Bagci
Colorectal cancer (CRC) remains one of the leading causes of cancer-related morbidity and mortality worldwide, with gastrointestinal (GI) polyps serving as critical precursors acco…
Beyond Traditional Approaches: Multi-Task Network for Breast Ultrasound Diagnosis
Dat T. Chung, Minh-Anh Dang, Mai-Anh Vu +3
Breast Ultrasound plays a vital role in cancer diagnosis as a non-invasive approach with cost-effective. In recent years, with the development of deep learning, many CNN-based appr…