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All papers authored by Sung Min Ha

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2023 Sung Min Ha

ORCID

, Abdalla Bani, Aristeidis Sotiras

Scalable NMF via linearly optimized data compression

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Abdalla Bani, Sung Min Ha

ORCID

, Pan Xiao, Thomas Earnest, John Lee, Aristeidis Sotiras

Scalable Orthonormal Projective NMF via Diversified Stochastic Optimization

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2022 Arash Nazeri

ORCID

, Robert C. McKinstr, Ivica Kostović, Željka Krsnik

ORCID

, Sung Min Ha

ORCID

, Dominique Meyer, Janja Kopić, Dimitrios Alexopoulos, Joan L. Luby, Barbara B. Warner, Sydney Kaplan, Cynthia E. Rogers, Joshua S. Shimony, Ivica Kostovi, Deanna M. Barch and 4 other authors

Neurodevelopmental patterns of early postnatal white matter maturation represent distinct underlying microstructure and histology

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Spyridon Bakas

ORCID

ORCID

ORCID

, Michel Bilello

ORCID

, Aristeidis Sotiras

ORCID

, Gaurav Shukla

ORCID

, Jeffrey D. Rudie

ORCID

, Natali Flores Santamaría

ORCID

, Anahita Fathi Kazerooni

ORCID

ORCID

, Saima Rathore

ORCID

, Elizabeth Mamourian

ORCID

, Sung Min Ha

ORCID

, William Parker

ORCID

ORCID

and 17 other authors

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

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2020 Sarthak Pati

ORCID

, Ruchika Verma

ORCID

ORCID

, Michel Bilello

ORCID

, Virginia B. Hill

ORCID

ORCID

ORCID

ORCID

, Ludovic Venet

ORCID

, Siddhesh Thakur

ORCID

, Prashant Serai

ORCID

, Sung Min Ha

ORCID

, Sung Min Ha, Geri D. Blake

ORCID

, Russell Taki Shinohara

ORCID

and 2 other authors

Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset

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Siddhesh Thakur, Jimit Doshi

ORCID

ORCID

, Saima Rathore, Chiharu Sako

ORCID

, Michel Bilello, Sung Min Ha

ORCID

, Gaurav Shukla, Adam Flanders, Aikaterini Kotrotsou

ORCID

, Mikhail Milchenko

ORCID

, Spencer Liem, Gregory S. Alexander, Joseph Lombardo, Joshua D. Palmer

ORCID

and 9 other authors

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

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Alex Zwanenburg

ORCID

, Martin Vallières

ORCID

, Mahmoud A. Abdalah

ORCID

, Hugo J. W. L. Aerts

ORCID

, Vincent Andrearczyk, Aditya Apte

ORCID

, Saeed Ashrafinia, Spyridon Bakas

ORCID

, Roelof J. Beukinga

ORCID

, Ronald Boellaard

ORCID

, Marta Bogowicz, Luca Boldrini

ORCID

ORCID

, Gary J. R. Cook

ORCID

, Christos Davatzikos

ORCID

and 48 other authors

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

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Spyridon Bakas, Gaurav Shukla, Hamed Akbari, Guray Erus, Aristeidis Sotiras, Saima Rathore, Chiharu Sako, Sung Min Ha

ORCID

, Martin Rozycki, Ashish Singh, Russell T. Shinohara, Michel Bilello, Christos A. Davatzikos

Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols

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Anahita Fathi Kazerooni, Hamed Akbari, Gaurav Shukla, Chaitra Badve, Jeffrey D. Rudie

ORCID

, Chiharu Sako, Saima Rathore, Spyridon Bakas, Sarthak Pati, Ashish Singh, Mark Bergman, Sung Min Ha

ORCID

, Despina Kontos, MacLean Nasrallah, Stephen J. Bagley and 7 other authors

Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma

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Siddhesh P. Thakur, Jimit Doshi, Sarthak Pati

ORCID

, Sung Min Ha

ORCID

, Chiharu Sako, Sanjay Talbar, Uday Kulkarni, Christos Davatzikos, Guray Erus, Spyridon Bakas

ORCID

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning

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Sarthak Pati

ORCID

, Ashish Singh, Saima Rathore, Aimilia Gastounioti, Mark Bergman, Phuc Ngo, Sung Min Ha

ORCID

, Dimitrios Bounias, James Minock, Grayson Murphy, Hongming Li, Amit Bhattarai, Adam Wolf, Patmaa Sridaran, Ratheesh Kalarot and 10 other authors

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview

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2018 Spyridon Bakas, Mauricio Reyes, Andras Jakab, Markus Rempfler, Russell Takeshi Shinohara, Martin Rozycki, Marcel Prastawa, Jana Lipkova, Justin Kirby, Roland Wiest, Jan Kirschke, Stefan Bauer, Benedikt Wiestler, Alessandro Crimi, Aikaterini Kotrotsou and 439 other authors

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

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Zev A. Binder, Amy Haseley Thorne, Spyridon Bakas, E. Paul Wileyto, Michel Bilello, Hamed Akbari

ORCID

, Saima Rathore, Sung Min Ha

ORCID

, Logan Zhang, Cole J. Ferguson, Sonika Dahiya, Wenya Linda Bi, David A. Reardon, Ahmed Idbaih, Joerg Felsberg and 12 other authors

Epidermal Growth Factor Receptor Extracellular Domain Mutations in Glioblastoma Present Opportunities for Clinical Imaging and Therapeutic Development

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Matt McKenzie, Sung Min Ha

ORCID

, Aravind Rammohan, Ravi Radhakrishnan, N. Ramakrishnan

Multivalent Binding of a Ligand-Coated Particle: Role of Shape, Size, and Ligand Heterogeneity

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2017 M. McKenzie, S. M. Ha

ORCID

, A. Rammohan, R. Radhakrishnan, N. Ramakrishnan

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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