MorphSAM: Learning the Morphological Prompts from Atlases for Spine Image Segmentation

no code implementations • 16 Jun 2025 • Dingwei Fan, Junyong Zhao, Chunlin Li, Xinlong Wang, Ronghan Zhang, Mingliang Wang, Qi Zhu, Haipeng Si, Daoqiang Zhang, Liang Sun

Spine image segmentation is crucial for clinical diagnosis and treatment of spine diseases.

Image Segmentation Prompt Learning +2

Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation

no code implementations • 15 Feb 2023 • Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen

To address the issue, we propose a novel Dual Graph Multitask framework for imbalanced Delivery Time Estimation (DGM-DTE).

A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis

no code implementations • 10 May 2020 • Li Zhang, Mingliang Wang, Mingxia Liu, Daoqiang Zhang

Deep learning has been recently used for the analysis of neuroimages, such as structural magnetic resonance imaging (MRI), functional MRI, and positron emission tomography (PET), and has achieved significant performance improvements over traditional machine learning in computer-aided diagnosis of brain disorders.

Deep Learning

Deep & Cross Network for Ad Click Predictions

16 code implementations • 17 Aug 2017 • Ruoxi Wang, Bin Fu, Gang Fu, Mingliang Wang

Feature engineering has been the key to the success of many prediction models.

Click-Through Rate Prediction Feature Engineering