Sung Min Ha
0000-0002-3526-9101
15 papers found
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Scalable NMF via linearly optimized data compression
Scalable Orthonormal Projective NMF via Diversified Stochastic Optimization
Neurodevelopmental patterns of early postnatal white matter maturation represent distinct underlying microstructure and histology
The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics
Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols
Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma
Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Epidermal Growth Factor Receptor Extracellular Domain Mutations in Glioblastoma Present Opportunities for Clinical Imaging and Therapeutic Development
Multivalent Binding of a Ligand-Coated Particle: Role of Shape, Size, and Ligand Heterogeneity
Computational investigation of multivalent binding of a ligand coated particle: Role of shape, size and ligand heterogeneity from a free energy landscape perspective
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