7 citations · 43 across the 22 of their papers we have counts for
6 papers · 1 filter
QwenVLConnector: A Fast, Unified Medical VLM Chatbot for Fine-Grained Clinical Perception and Text Generation
Le Thien Phuc Nguyen, Thien Nguyen, Thanh-Huy Nguyen +3
Most medical vision-language models (VLMs) excel at open-ended report generation and VQA but provide limited support for structured, fine-grained clinical perception within a unifi…
TRIUNE-Net: Harmonizing Scale, Shape, and Efficiency in Pancreatic Tumor Segmentation
Amir Hossein Saleknia, Alireza Kheyrkhah, Sanaz Karimijafarbigloo +5
Pancreatic tumor segmentation in 3D CT volumes is challenged by extreme scale variability across both the pancreas and tumor, and highly irregular tumor morphology. While recent ad…
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…
ESC: Emotional Self-Correction for Reliable Vision-Language Models
Tien-Huy Nguyen, Minh-Nhat Nguyen, Nguyen Nhat Huy +9
Vision-language models (VLMs) have achieved strong performance across diverse multimodal tasks, yet they remain vulnerable to unreliable reasoning. Existing self-correction methods…
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…
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…