2 citations · 3 across the 5 of their papers we have counts for
5 papers
LatentFM: A Latent Flow Matching Approach for Generative Medical Image Segmentation
Ngoc Huynh Trinh, Hoang Anh Nguyen Kim, Hai Toan Nguyen +1
Generative models have achieved remarkable progress with the emergence of flow matching (FM). It has demonstrated strong generative capabilities and attracted significant attention…
Diffusion Model in Latent Space for Medical Image Segmentation Task
Ngoc Huynh Trinh, Hai Toan Nguyen, Son Ba Luong +1
Medical image segmentation is crucial for clinical diagnosis and treatment planning. Traditional methods typically produce a single segmentation mask, failing to capture inherent u…
Echocardiography Segmentation Using Neural ODE-based Diffeomorphic Registration Field
Phi Nguyen Van, Hieu Pham Huy, Long Tran Quoc
Convolutional neural networks (CNNs) have recently proven their excellent ability to segment 2D cardiac ultrasound images. However, the majority of attempts to perform full-sequenc…
F2SD: A dataset for end-to-end group detection algorithms
Giang Hoang, Tuan Nguyen Dinh, Tung Cao Hoang +6
The lack of large-scale datasets has been impeding the advance of deep learning approaches to the problem of F-formation detection. Moreover, most research works on this problem re…
ViWOZ: A Multi-Domain Task-Oriented Dialogue Systems Dataset For Low-resource Language
Phi Nguyen Van, Tung Cao Hoang, Dung Nguyen Manh +2
Most of the current task-oriented dialogue systems (ToD), despite having interesting results, are designed for a handful of languages like Chinese and English. Therefore, their per…