activity
20212024
most citedDAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image Segmentation

12 citations · 24 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

NeIn: Telling What You Don't Want

Nhat-Tan Bui, Dinh-Hieu Hoang, Quoc-Huy Trinh +3

Negation is a fundamental linguistic concept used by humans to convey information that they do not desire. Despite this, minimal research has focused on negation within text-guided…

eess.SP2023

TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network

Nhat-Tan Bui, Dinh-Hieu Hoang, Thinh Phan +4

The electrocardiogram (ECG) is a valuable signal used to assess various aspects of heart health, such as heart rate and rhythm. It plays a crucial role in identifying cardiac condi…

eess.IV2023★ 4 cited

SAM3D: Segment Anything Model in Volumetric Medical Images

Nhat-Tan Bui, Dinh-Hieu Hoang, Minh-Triet Tran +5

Image segmentation remains a pivotal component in medical image analysis, aiding in the extraction of critical information for precise diagnostic practices. With the advent of deep…

cs.CV2023★ 8 cited

MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation

Nhat-Tan Bui, Dinh-Hieu Hoang, Quang-Thuc Nguyen +2

Efficient polyp segmentation in healthcare plays a critical role in enabling early diagnosis of colorectal cancer. However, the segmentation of polyps presents numerous challenges,…

eess.IV2021★ 12 cited

DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image Segmentation

Dinh-Hieu Hoang, Gia-Han Diep, Minh-Triet Tran +1

While Magnetic Resonance Imaging (MRI) has played an essential role in infant brain analysis, segmenting MRI into a number of tissues such as gray matter (GM), white matter (WM), a…