13 citations · 25 across the 5 of their papers we have counts for
9 papers
Understanding Fission Gas Bubble Distribution, Lanthanide Transportation, and Thermal Conductivity Degradation in Neutron-irradiated α-U Using Machine Learning
Lu Cai, Fei Xu, Fidelma Dilemma +6
UZr based metallic nuclear fuel is the leading candidate for next-generation sodium-cooled fast reactors in the United States. US research reactors have been using and testing this…
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation
Bryar Shareef, Alex Vakanski, Min Xian +1
Breast tumor segmentation is a critical task in computer-aided diagnosis (CAD) systems for breast cancer detection because accurate tumor size, shape and location are important for…
A Review of Computational Approaches for Evaluation of Rehabilitation Exercises
Yalin Liao, Aleksandar Vakanski, Min Xian +2
Recent advances in data analytics and computer-aided diagnostics stimulate the vision of patient-centric precision healthcare, where treatment plans are customized based on the hea…
Stan: Small tumor-aware network for breast ultrasound image segmentation
Bryar Shareef, Min Xian, Aleksandar Vakanski
Breast tumor segmentation provides accurate tumor boundary, and serves as a key step toward further cancer quantification. Although deep learning-based approaches have been propose…
Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images
Haotian Wang, Min Xian, Aleksandar Vakanski
Separating overlapped nuclei is a major challenge in histopathology image analysis. Recently published approaches have achieved promising overall performance on public datasets; ho…
Breast Anatomy Enriched Tumor Saliency Estimation
Fei Xu, Yingtao Zhang, Min Xian +5
Breast cancer investigation is of great significance, and developing tumor detection methodologies is a critical need. However, it is a challenging task for breast ultrasound due t…