5 papers
Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation
Huu Tien Nguyen, Dac Thai Nguyen, The Minh Duc Nguyen +11
Vision-Language Foundation Models (VLMs), trained on large-scale multimodal datasets, have driven significant advances in Artificial Intelligence (AI) by enabling rich cross-modal…
MMAP: A Multi-Magnification and Prototype-Aware Architecture for Predicting Spatial Gene Expression
Hai Dang Nguyen, Nguyen Dang Huy Pham, The Minh Duc Nguyen +3
Spatial Transcriptomics (ST) enables the measurement of gene expression while preserving spatial information, offering critical insights into tissue architecture and disease pathol…
PADM: A Physics-aware Diffusion Model for Attenuation Correction
Trung Kien Pham, Hoang Minh Vu, Anh Duc Chu +6
Attenuation artifacts remain a significant challenge in cardiac Myocardial Perfusion Imaging (MPI) using Single-Photon Emission Computed Tomography (SPECT), often compromising diag…
Bridging Classification and Segmentation in Osteosarcoma Assessment via Foundation and Discrete Diffusion Models
Manh Duong Nguyen, Dac Thai Nguyen, Trung Viet Nguyen +3
Osteosarcoma, the most common primary bone cancer, often requires accurate necrosis assessment from whole slide images (WSIs) for effective treatment planning and prognosis. Howeve…
CT to PET Translation: A Large-scale Dataset and Domain-Knowledge-Guided Diffusion Approach
Dac Thai Nguyen, Trung Thanh Nguyen, Huu Tien Nguyen +5
Positron Emission Tomography (PET) and Computed Tomography (CT) are essential for diagnosing, staging, and monitoring various diseases, particularly cancer. Despite their importanc…