267 citations · 1.6k across the 26 of their papers we have counts for
26 papers
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…
Registration-Guided Deep Learning Image Segmentation for Cone Beam CT-based Online Adaptive Radiotherapy
Lin Ma, Weicheng Chi, Howard E. Morgan +8
Adaptive radiotherapy (ART), especially online ART, effectively accounts for positioning errors and anatomical changes. One key component of online ART is accurately and efficientl…
Volumetric dose extension for isodose tuning
Lin Ma, Mingli Chen, Xuejun Gu +1
Purpose: To develop a model to generate volumetric dose distribution from two isodose surfaces (iso-surfaces), and to interactively tune dose distribution by iso-surface dragging.…
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…
Generalizability of deep learning based fluence map prediction as an inverse planning approach
Lin Ma, Mingli Chen, Xuejun Gu +1
Deep learning-based fluence map prediction(DL-FMP) method has been reported in the literature, which generated fluence maps for desired dose by deep neural network(DNN)-based inver…
Robustness study of noisy annotation in deep learning based medical image segmentation
Shaode Yu, Erlei Zhang, Junjie Wu +6
Partly due to the use of exhaustive-annotated data, deep networks have achieved impressive performance on medical image segmentation. Medical imaging data paired with noisy annotat…