Jiasen Zhang

activity

20242026

most citedDetection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation

10 citations · 14 across the 3 of their papers we have counts for

collaborators

Showing cs.CVShow all

2 papers · 1 filter

cs.CV2026

Multitask Conditional Generative Adversarial Network Enables Automatic Whole Knee Cartilage and Menisci Segmentation and Reliable $T_{1 ρ}$ and $T_{2}$ Quantification Without High-Resolution Morphological Images

Ahmed Tahseen Minhaz, Richard Lartey, Zhiyuan Zhang +8

Early osteoarthritis detection through quantitative MRI (qMRI) requires accurate cartilage and meniscus segmentation, traditionally necessitating time-consuming, costly 3D high-res…

cs.CV2024★ 10 cited

Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation

Jiasen Zhang, Mingrui Yang, Weihong Guo +3

Lung cancer ranks as one of the leading causes of cancer diagnosis and is the foremost cause of cancer-related mortality worldwide. The early detection of lung nodules plays a pivo…

Multitask Conditional Generative Adversarial Network Enables Automatic Whole Knee Cartilage and Menisci Segmentation and Reliable T1ρ​ and T2​ Quantification Without High-Resolution Morphological Images

Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation

Multitask Conditional Generative Adversarial Network Enables Automatic Whole Knee Cartilage and Menisci Segmentation and Reliable $T_{1 ρ}$ and $T_{2}$ Quantification Without High-Resolution Morphological Images