5 papers
Region-Weighted Losses and Model Fusion for Cross-Modal PET Attenuation Correction
Khoa Tuan Nguyen, Joris Vankerschaver, Wesley De Neve
We describe our approach to the Big Cross-Modal Attenuation Correction (BIC-MAC) challenge, which asks for a pseudo-CT in Hounsfield Units to be synthesized from Non-Attenuation-Co…
Toward Using Machine Learning as a Shape Quality Metric for Liver Point Cloud Generation
Khoa Tuan Nguyen, Gaeun Oh, Ho-min Park +5
While 3D medical shape generative models such as diffusion models have shown promise in synthesizing diverse and anatomically plausible structures, the absence of ground truth make…
Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability
Khoa Tuan Nguyen, Ho-min Park, Gaeun Oh +2
We propose a novel approach to cervical cell image classification for cervical cancer screening using the EVA-02 transformer model. We developed a four-step pipeline: fine-tuning E…
Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations
Khoa Tuan Nguyen, Francesca Tozzi, Wouter Willaert +3
While the availability of open 3D medical shape datasets is increasing, offering substantial benefits to the research community, we have found that many of these datasets are, unfo…
Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos using NeRFs
Khoa Tuan Nguyen, Francesca Tozzi, Nikdokht Rashidian +3
Given that a conventional laparoscope only provides a two-dimensional (2-D) view, the detection and diagnosis of medical ailments can be challenging. To overcome the visual constra…