14 citations · 22 across the 8 of their papers we have counts for
5 papers · 1 filter
Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases
Jacob J. Peoples, Mohammad Hamghalam, Imani James +7
Establishing the reproducibility of radiomic signatures is a critical step in the path to clinical adoption of quantitative imaging biomarkers; however, radiomic signatures must al…
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation
Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei +1
In large studies involving multi protocol Magnetic Resonance Imaging (MRI), it can occur to miss one or more sub-modalities for a given patient owing to poor quality (e.g. imaging…
Convolutional 3D to 2D Patch Conversion for Pixel-wise Glioma Segmentation in MRI Scans
Mohammad Hamghalam, Baiying Lei, Tianfu Wang
Structural magnetic resonance imaging (MRI) has been widely utilized for analysis and diagnosis of brain diseases. Automatic segmentation of brain tumors is a challenging task for…
High Tissue Contrast MRI Synthesis Using Multi-Stage Attention-GAN for Glioma Segmentation
Mohammad Hamghalam, Baiying Lei, Tianfu Wang
Magnetic resonance imaging (MRI) provides varying tissue contrast images of internal organs based on a strong magnetic field. Despite the non-invasive advantage of MRI in frequent…
Brain Tumor Synthetic Segmentation in 3D Multimodal MRI Scans
Mohammad Hamghalam, Baiying Lei, Tianfu Wang
The magnetic resonance (MR) analysis of brain tumors is widely used for diagnosis and examination of tumor subregions. The overlapping area among the intensity distribution of heal…