13 citations · 18 across the 3 of their papers we have counts for
3 papers
eess.IV2022★ 5 cited
Leveraging Global Binary Masks for Structure Segmentation in Medical Images
Mahdieh Kazemimoghadam, Zi Yang, Lin Ma +3
Deep learning (DL) models for medical image segmentation are highly influenced by intensity variations of input images and lack generalization due to primarily utilizing pixels' in…
eess.SP2021
An Activity Recognition Framework for Continuous Monitoring of Non-Steady-State Locomotion of Individuals with Parkinson's Disease
Mahdieh Kazemimoghadam, Nicholas P. Fey
Fundamental knowledge in activity recognition of individuals with motor disorders such as Parkinson's disease (PD) has been primarily limited to detection of steady-state/static ta…
eess.IV2021★ 13 cited
Saliency-Guided Deep Learning Network for Automatic Tumor Bed Volume Delineation in Post-operative Breast Irradiation
Mahdieh Kazemimoghadam, Weicheng Chi, Asal Rahimi +5
Efficient, reliable and reproducible target volume delineation is a key step in the effective planning of breast radiotherapy. However, post-operative breast target delineation is…