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U01CA154601

Funded outputs count: 80
Funder award ID: U01CA154601
OpenAlex ID: G940070239
Cervical and Tumor-Associated Microbiomes in Botswana Women With and Without HIV With Carcinoma of the Cervix Before and After Definitive Chemoradiation
2025 · Travis T. Sims, Kyoko Yoshida-Court, et al. · JCO Global Oncology · 1
Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data
2023 · Sharut Gupta, Sourav Kumar, et al. · Radiographics · 44
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Addressing catastrophic forgetting for medical domain expansion
2021 · Sharut Gupta, Praveer Singh, et al. · Research Square · 10
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Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma
2020 · Katharina V. Hoebel, Jay B. Patel, et al. · Radiology Artificial Intelligence · 54
Thalamic neuroinflammation as a reproducible and discriminating signature for chronic low back pain
2020 · Angel Torrado-Carvajal, Nicola Toschi, et al. · Pain · 46
Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks
2020 · Matthew D. Li, Nishanth Thumbavanam Arun, et al. · Radiology Artificial Intelligence · 161
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Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density
2020 · Ken Chang, Andrew L. Beers, et al. · Journal of the American College of Radiology · 51
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DeepNeuro: an open-source deep learning toolbox for neuroimaging
2020 · Andrew Beers, James Brown, et al. · Neuroinformatics · 44
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Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets
2020 · M. McNitt-Gray, S. Napel, et al. · Tomography · 75
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Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging
2020 · Matthew D. Li, Ken Chang, et al. · npj Digital Medicine · 142
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Accounting for data variability in multi-institutional distributed deep learning for medical imaging
2020 · Niranjan Balachandar, Ken Chang, et al. · Journal of the American Medical Informatics Association · 61
Give me (un)certainty -- An exploration of parameters that affect segmentation uncertainty
2019 · Hoebel, Katharina, Chang, Ken, et al. · arXiv (Cornell University) · 2
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Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement
2019 · Ken Chang, Andrew L Beers, et al. · Neuro-Oncology · 179
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The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge, Part II
2019 · Wei Huang, Yiyi Chen, et al. · Tomography · 77
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An in-silico quality assurance study of contouring target volumes in thoracic tumors within a cooperative group setting
2019 · Hesham Elhalawani, Baher Elgohari, et al. · Clinical and Translational Radiation Oncology · 4
Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions
2019 · Luciano M. Prevedello, Safwan S. Halabi, et al. · Radiology Artificial Intelligence · 169
PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images
2018 · Samuel G. Armato, Henkjan Huisman, et al. · Journal of medical imaging · 189
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Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges
2018 · Hesham Elhalawani, Timothy A. Lin, et al. · Frontiers in Oncology · 39
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Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project
2018 · K.M. Schmainda, M.A. Prah, et al. · American Journal of Neuroradiology · 57
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Predicting malignant nodules by fusing deep features with classical radiomics features
2018 · Rahul Paul, Samuel Hawkins, et al. · Journal of medical imaging · 108
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Distributed deep learning networks among institutions for medical imaging
2018 · Ken Chang, Niranjan Balachandar, et al. · Journal of the American Medical Informatics Association · 339
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Dynamic contrast-enhanced magnetic resonance imaging for head and neck cancers
2018 · Joint Head and Neck Radiotherapy-MRI Development Cooperative, Hesham Elhalawani, et al. · Scientific Data · 16
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Semi‐automated pulmonary nodule interval segmentation using the NLST data
2018 · Yoganand Balagurunathan, Andrew Beers, et al. · Medical Physics · 19
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Field of View Normalization in Multi-Site Brain MRI
2018 · Yangming Ou, Lilla Zöllei, et al. · Neuroinformatics · 31
Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging
2017 · Ken Chang, Harrison X. Bai, et al. · Clinical Cancer Research · 391
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