Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations

no code implementations • 23 Mar 2024 • Ruige Zong, Tao Wang, Chunwang Li, Xinlin Zhang, Yuanbin Chen, Longxuan Zhao, Qixuan Li, Qinquan Gao, Dezhi Kang, Fuxin Lin, Tong Tong

To alleviate this problem, we propose a quantitative statistical framework for FCCM, comprising an efficient annotation module, an FCCM lesion segmentation module, and an FCCM lesion quantitative statistics module.

Decision Making Image Registration +1

Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation

1 code implementation • 31 Aug 2023 • Yuanbin Chen, Tao Wang, Hui Tang, Longxuan Zhao, Ruige Zong, Shun Chen, Tao Tan, Xinlin Zhang, Tong Tong

In this paper, we present a novel semi-supervised learning method, Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation (DCPA), for medical image segmentation.

Data Augmentation Image Segmentation +3

Acoustic-to-articulatory Inversion based on Speech Decomposition and Auxiliary Feature

no code implementations • 2 Apr 2022 • Jianrong Wang, Jinyu Liu, Longxuan Zhao, Shanyu Wang, Ruiguo Yu, Li Liu

Acoustic-to-articulatory inversion (AAI) is to obtain the movement of articulators from speech signals.