1 citations · 2 across the 13 of their papers we have counts for
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Asymmetric Paired-Annotation Learning for Multi-Structure ULF Pediatric Brain MRI Segmentation
Ha-Hieu Pham, Dang P. M. Cao, Minh Hoang Pham +4
Portable ultra-low-field (ULF) MRI can expand access to pediatric neuroimaging, but segmentation at 0.064 T remains challenging because anatomical boundaries are weakly delineated,…
Candidate-Expanding Routing with Permutation-Stabilized Experts for Mixed-Format Medical VQA
Hai-Dang Nguyen, Huy-Hieu Pham
Mixed-format medical visual question answering (VQA) requires stable option selection and machine-readable free-text output. The two formats fail differently: multiple-choice predi…
Entity-Constrained CBCT Retrieval for Low-Resource Dental Record Completion
Nhi Ngoc-Yen Nguyen, Thai Nguyen, Kiet Huynh Cao Tuan +1
Completing dental records from cone-beam computed tomography (CBCT) is difficult when annotation is scarce and individual clinical fields are supported by different types of eviden…
Single-Stage Hierarchical Rectification for Weakly Supervised Histopathology Segmentation
Duc T. Nguyen, Hoang-Long Nguyen, Thanh-Ha DO +1
Existing weakly supervised semantic segmentation (WSSS) methods in computational pathology rely on a multi-stage paradigm: class activation map (CAM) generation, offline pseudo-mas…
EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation
Dang Nguyen Hong, Nhi Ngoc-Yen Nguyen, Huy-Hieu Pham
High-fidelity ECG interpretation is increasingly reliant on massive foundation models, yet their deployment in clinical edge-care remains hindered by extreme computational demands.…
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…
Synergizing Deep Learning and Biological Heuristics for Extreme Long-Tail White Blood Cell Classification
Duc T. Nguyen, Hoang-Long Nguyen, Huy-Hieu Pham
Automated white blood cell (WBC) classification is essential for leukemia screening but remains challenged by extreme class imbalance, long-tail distributions, and domain shift, le…
Digital FAST: An AI-Driven Multimodal Framework for Rapid and Early Stroke Screening
Ngoc-Khai Hoang, Thi-Nhu-Mai Nguyen, Huy-Hieu Pham
Early identification of stroke symptoms is essential for enabling timely intervention and improving patient outcomes, particularly in prehospital settings. This study presents a fa…
CLEAR: Causal Learning Framework For Robust Histopathology Tumor Detection Under Out-Of-Distribution Shifts
Kieu-Anh Truong Thi, Huy-Hieu Pham, Duc-Trong Le
Domain shift in histopathology, often caused by differences in acquisition processes or data sources, poses a major challenge to the generalization ability of deep learning models.…
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…