activity
20232026
most citedALGNet: Attention Light Graph Memory Network for Medical Recommendation System

7 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Rad-JEPA 3D: Radiology Joint-Embedding Predictive Model for 3D Computed Tomography

Quoc-Huy Trinh, Minh-Van Nguyen, Ulas Bagci

Self-supervised pretraining is central to 3D medical image analysis, where unlabeled CT volumes are abundant but expert annotations are scarce. Yet existing volumetric encoders oft…

cs.CV2025★ 1 cited

PRS-Med: Position Reasoning Segmentation in Medical Imaging

Quoc-Huy Trinh, Minh-Van Nguyen, Jun Zeng +2

Prompt-based medical image segmentation has rapidly emerged, yet existing methods rely on explicit prompts like bounding boxes and struggle to reason about the spatial relationship…

cs.SD2024

Sing-On-Your-Beat: Simple Text-Controllable Accompaniment Generations

Quoc-Huy Trinh, Minh-Van Nguyen, Trong-Hieu Nguyen Mau +2

Singing is one of the most cherished forms of human entertainment. However, creating a beautiful song requires an accompaniment that complements the vocals and aligns well with the…

cs.AI2023★ 7 cited

ALGNet: Attention Light Graph Memory Network for Medical Recommendation System

Minh-Van Nguyen, Duy-Thinh Nguyen, Quoc-Huy Trinh +1

Medication recommendation is a vital task for improving patient care and reducing adverse events. However, existing methods often fail to capture the complex and dynamic relationsh…

eess.IV2023★ 1 cited

KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation

Quoc-Huy Trinh, Minh-Van Nguyen, Phuoc-Thao Vo Thi

Polyp segmentation, a contentious issue in medical imaging, has seen numerous proposed methods aimed at improving the quality of segmented masks. While current state-of-the-art tec…