About CEMIA@UIT group
The CEMIA Group (based at the University of Information Technology, Vietnam National University Ho Chi Minh City) focuses on designing efficient computational tools for multimodal medical image analysis that support disease diagnosis and prognosis. Beyond medical image analysis, we also strive to address other real-world multidisciplinary challenges.
News in Medical Image Research
[August. 2026] One paper is accepted in Machine Vision and Applications (Q2).
[August. 2026] One paper is accepted for presentation at BMVC2026 (A-ranked).
[July. 2026] One paper is accepted for presentation at MICCAI-CLIMEM workshop.
[July. 2026] One paper is accepted in Medical Image Analysis (Q1, IF = 14.0).
[July. 2026] Four papers are accepted for presentation at MAPR2026.
[June. 2026] One paper is accepted in ICT Express (Q1, IF = 4.6).
[Nov. 2025] One paper (MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images) is accepted by WACV'26 (A-ranked).
[Jul. 2025] One paper (Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation) is accepted by IEEE Access.
[Jul. 2025] One paper (ZeroSlide: Is Zero-Shot Classification Adequate for Lifelong Learning in Whole-Slide Image Analysis in the Era of Pathology Vision-Language Foundation Models?) is accepted by MICCAI 2025 EMERGE workshop.
[Nov. 2024] One paper (Spatially-constrained and-unconstrained bi-graph interaction network for multi-organ pathology image classification) is accepted by IEEE Transactions on Medical Imaging.
[Oct. 2024] One paper (FALFormer: Feature-Aware Landmarks Self-attention for Whole-Slide Image Classification) is accepted by MICCAI2024.
[Mar. 2024] One paper (DAX-Net: A dual-branch dual-task adaptive cross-weight feature fusion network for robust multi-class cancer classification in pathology images) is accepted by Computer Methods and Programs in Biomedicine.
News in Collaborative Works
[Feb. 2025] One paper (Clear: cross-transformers with pre-trained language model for person attribute recognition and retrieval) is accepted by Pattern Recognition (Q1, IF = 9.1).
[Dec. 2024] One paper (Higda: Hierarchical graph of nodes to learn local-to-global topology for semi-supervised domain adaptation) is accepted by AAAI2025 (A-ranked).
[Aug. 2024] One paper (Transformer with Multi-level Grid Features and Depth Pooling for Image Captioning) is accepted by Machine Vision and Applications (Q2).
[Feb. 2024] One paper (Transformer-based spatio-temporal unsupervised traffic anomaly detection in aerial videos) is accepted by IEEE Transactions on Circuits and Systems for Video Technology (Q1, IF = 10.8).
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