10 citations · 15 across the 4 of their papers we have counts for
5 papers
Multitask Conditional Generative Adversarial Network Enables Automatic Whole Knee Cartilage and Menisci Segmentation and Reliable and 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…
Towards Quantum Tensor Decomposition in Biomedical Applications
Myson Burch, Jiasen Zhang, Gideon Idumah +12
Tensor decomposition has emerged as a powerful framework for feature extraction in multi-modal biomedical data. In this review, we present a comprehensive analysis of tensor decomp…
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…
A Geometric Flow Approach for Segmentation of Images with Inhomongeneous Intensity and Missing Boundaries
Paramjyoti Mohapatra, Richard Lartey, Weihong Guo +2
Image segmentation is a complex mathematical problem, especially for images that contain intensity inhomogeneity and tightly packed objects with missing boundaries in between. For…
Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model
Junying Meng, Weihong Guo, Jun Liu +1
The main objective of image segmentation is to divide an image into homogeneous regions for further analysis. This is a significant and crucial task in many applications such as me…