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eess.IV2024★ 1 cited
Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function
Shijia Zhou, Euijoon Ahn, Hao Wang +5
The measurement of fetal thalamus diameter (FTD) and fetal head circumference (FHC) are crucial in identifying abnormal fetal thalamus development as it may lead to certain neurops…
eess.IV2022★ 4 cited
Z-SSMNet: Zonal-aware Self-supervised Mesh Network for Prostate Cancer Detection and Diagnosis with Bi-parametric MRI
Yuan Yuan, Euijoon Ahn, Dagan Feng +2
Bi-parametric magnetic resonance imaging (bpMRI) has become a pivotal modality in the detection and diagnosis of clinically significant prostate cancer (csPCa). Developing AI-based…
eess.IV2022★ 6 cited
Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation
Jianan Liu, Hao Li, Tao Huang +6
High-resolution (HR) magnetic resonance imaging is critical in aiding doctors in their diagnoses and image-guided treatments. However, acquiring HR images can be time-consuming and…