Jianping Zhang

Research on temperature distribution and risk prediction of underground transformer fires: Experimental study, deep learning and numerical simulations

Changyang Zhang, Xu Zhai, Weiguang Kong, Hanchao Ma, Jianping Zhang, Jinlong Zhao

A Unified Variational Framework for Deep Weakly Supervised Image Segmentation

Yin King Chu, Lingfeng Li, Sung Ha Kang, Jianping Zhang, Xue-Cheng Tai

We propose a unified variational framework for image segmentation under sparse pixel-level supervision. Our method is based on a simplex-constrained Potts model with a smooth perimeter regularizer, yielding a convex, smooth energy functional that can be used as a training loss in…Read more

A Dual-domain Refinement Network with FBP-based Jacobian Learning for Sparse-view Dual-Energy CT Material Decomposition

Qian Liu, Xiaohong Fan, Ke Chen, Chong Chen, Shuaikang Wang, Jianping Zhang

Dual-energy CT (DECT) exploits attenuation differences across different X-ray spectra to provide richer material information and has been widely used in medical imaging. While sparse-view acquisition can lower radiation exposure, it makes DECT material decomposition even more cha…Read more

DrivenMorph: Bridging Attention Mechanism and Variational Image Registration via Difference Modeling

Mingke Li, Jianping Zhang, Jinqiu Deng

Medical image registration benefits significantly from deep learning, yet existing approaches often lack physical explainability and fine-grained deformation control. Motivated by Demons algorithms, we propose a novel DrivenMorph framework that bridges attention mechanisms with v…Read more

2.5D Deep Learning and Machine Learning for Discriminative DLBCL and IDC with Radiomics on PET/CT

Fei Liu, Wen Chen, Jianping Zhang, Jianling Zou, Bingxin Gu, Hongxing Yang, et al.

We aimed to establish non-invasive diagnostic models comparable to pathology testing and explore reliable digital imaging biomarkers to classify diffuse large B-cell lymphoma (DLBCL) and invasive ductal carcinoma (IDC). Our study enrolled 386 breast nodules from 279 patients with…Read more