10 citations · 15 across the 3 of their papers we have counts for
4 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…
Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2
Andrew Seohwan Yu, Mohsen Hariri, Xuecen Zhang +3
Intelligent medical image segmentation methods are rapidly evolving and being increasingly applied, yet they face the challenge of domain transfer, where algorithm performance degr…