25 citations · 128 across the 49 of their papers we have counts for
9 papers · 1 filter
Semi-Supervised Bone Marrow Lesion Detection from Knee MRI Segmentation Using Mask Inpainting Models
Shihua Qin, Ming Zhang, Juan Shan +3
Bone marrow lesions (BMLs) are critical indicators of knee osteoarthritis (OA). Since they often appear as small, irregular structures with indistinguishable edges in knee magnetic…
Point-supervised Brain Tumor Segmentation with Box-prompted MedSAM
Xiaofeng Liu, Jonghye Woo, Chao Ma +2
Delineating lesions and anatomical structure is important for image-guided interventions. Point-supervised medical image segmentation (PSS) has great potential to alleviate costly…
Label-Efficient 3D Brain Segmentation via Complementary 2D Diffusion Models with Orthogonal Views
Jihoon Cho, Suhyun Ahn, Beomju Kim +8
Deep learning-based segmentation techniques have shown remarkable performance in brain segmentation, yet their success hinges on the availability of extensive labeled training data…
Anatomy-based quality metric of diffusion-weighted MRI data for accurate derivation of muscle fiber orientation
Nadya Shusharina, Xiaofeng Liu, Evangelia Kaza +3
Diffusion-weighted MRI (DW-MRI) is used to quantitatively characterize the microscopic structure of soft tissue due to the anisotropic diffusion of water in muscle. Applications su…
Principled Feature Disentanglement for High-Fidelity Unified Brain MRI Synthesis
Jihoon Cho, Jonghye Woo, Jinah Park
Multisequence Magnetic Resonance Imaging (MRI) provides a more reliable diagnosis in clinical applications through complementary information across sequences. However, in practice,…
Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI
Xiaofeng Liu, Fangxu Xing, Jiachen Zhuo +4
Understanding the relationship between tongue motion patterns during speech and their resulting speech acoustic outcomes -- i.e., articulatory-acoustic relation -- is of great impo…
Treatment-wise Glioblastoma Survival Inference with Multi-parametric Preoperative MRI
Xiaofeng Liu, Nadya Shusharina, Helen A Shih +3
In this work, we aim to predict the survival time (ST) of glioblastoma (GBM) patients undergoing different treatments based on preoperative magnetic resonance (MR) scans. The perso…
Disentangled Multimodal Brain MR Image Translation via Transformer-based Modality Infuser
Jihoon Cho, Xiaofeng Liu, Fangxu Xing +4
Multimodal Magnetic Resonance (MR) Imaging plays a crucial role in disease diagnosis due to its ability to provide complementary information by analyzing a relationship between mul…
Is Registering Raw Tagged-MR Enough for Strain Estimation in the Era of Deep Learning?
Zhangxing Bian, Ahmed Alshareef, Shuwen Wei +7
Magnetic Resonance Imaging with tagging (tMRI) has long been utilized for quantifying tissue motion and strain during deformation. However, a phenomenon known as tag fading, a grad…