An Exploration into the Benefits of the CLIP model for Lifelog Retrieval. - Ly-Duyen Tran; Naushad Alam; Yvette Graham; Linh Khanh Vo; Nghiem Tuong Diep; Binh T. Nguyen 001; Liting Zhou; Cathal Gurrin (CBMI, 2022)

LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching. - Duy M. H. Nguyen; Hoang Nguyen; Nghiem Tuong Diep; Tan Ngoc Pham; Tri Cao; Binh T. Nguyen 001; Paul Swoboda; Nhat Ho; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag; Mathias Niepert (NeurIPS, 2023)

On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation. - Duy Minh Ho Nguyen; Tan Ngoc Pham; Nghiem Tuong Diep; Nghi Quoc Phan; Quang Pham; Vinh Tong; Binh T. Nguyen 001; Ngan Hoang Le; Nhat Ho; Pengtao Xie; Daniel Sonntag; Mathias Niepert (CoRR, 2023)

Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. - Duy Minh Ho Nguyen; An Thai Le 001; Trung Quoc Nguyen; Nghiem Tuong Diep; Tai Nguyen 008; Duy Duong-Tran; Jan Peters 001; Li Shen 001; Mathias Niepert; Daniel Sonntag (ACML, 2024)

MGPATH: Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot WSI Classification. - Anh-Tien Nguyen; Duy Minh Ho Nguyen; Nghiem Tuong Diep; Trung Quoc Nguyen; Nhat Ho; Jacqueline Michelle Metsch; Miriam Cindy Maurer; Daniel Sonntag; Hanibal Bohnenberger; Anne-Christin Hauschild (CoRR, 2025)