Vulnerabilities of radiomic signature development: The need for safeguards von Welch, Mattea L., McIntosh, Chris, Haibe-Kains, Benjamin, Milosevic, Michael F., Wee, Leonard, Dekker, Andre, Huang, Shao Hui, Purdie, Thomas G., O'Sullivan, Brian, Aerts, Hugo J.W.L., Jaffray, David A.

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Repeatability and reproducibility of MRI-based radiomic features in cervical cancer von Fiset, Sandra, Welch, Mattea L., Weiss, Jessica, Pintilie, Melania, Conway, Jessica L., Milosevic, Michael, Fyles, Anthony, Traverso, Alberto, Jaffray, David, Metser, Ur, Xie, Jason, Han, Kathy

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Radiomic Analysis: Study Design, Statistical Analysis, and Other Bias Mitigation Strategies von Moskowitz, Chaya S, Welch, Mattea L, Jacobs, Michael A, Kurland, Brenda F, Simpson, Amber L

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Sensitivity of radiomic features to inter-observer variability and image pre-processing in Apparent Diffusion Coefficient (ADC) maps of cervix cancer patients von Traverso, Alberto, Kazmierski, Michal, Welch, Mattea L, Weiss, Jessica, Fiset, Sandra, Foltz, Warren D, Gladwish, Adam, Dekker, Andre, Jaffray, David, Wee, Leonard, Han, Kathy

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Use of Response Permutation to Measure an Imaging Dataset’s Susceptibility to Overfitting by Selected Standard Analysis Pipelines von Chakraborty, Jayasree, Midya, Abhishek, Kurland, Brenda F., Welch, Mattea L., Gonen, Mithat, Moskowitz, Chaya S., Simpson, Amber L.

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RADCURE: An open‐source head and neck cancer CT dataset for clinical radiation therapy insights von Welch, Mattea L., Kim, Sejin, Hope, Andrew J., Huang, Shao Hui, Lu, Zhibin, Marsilla, Joseph, Kazmierski, Michal, Rey‐McIntyre, Katrina, Patel, Tirth, O'Sullivan, Brian, Waldron, John, Bratman, Scott, Haibe‐Kains, Benjamin, Tadic, Tony

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External validation and transfer learning of convolutional neural networks for computed tomography dental artifact classification von Welch, Mattea L, McIntosh, Chris, Traverso, Alberto, Wee, Leonard, Purdie, Tom G, Dekker, Andre, Haibe-Kains, Benjamin, Jaffray, David A

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The correction of time and temperature effects in MR-based 3D Fricke xylenol orange dosimetry von Welch, Mattea L, Jaffray, David A

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Editorial: Radiomics: The New World or Another Road to El Dorado? von Welch, Mattea L, Jaffray, David A

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Automatic classification of dental artifact status for efficient image veracity checks: effects of image resolution and convolutional neural network depth von Welch, Mattea L, McIntosh, Chris, Purdie, Tom G, Wee, Leonard, Traverso, Alberto, Dekker, Andre, Haibe-Kains, Benjamin, Jaffray, David A

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User-controlled pipelines for feature integration and head and neck radiation therapy outcome predictions von Welch, Mattea L., McIntosh, Chris, McNiven, Andrea, Huang, Shao Hui, Zhang, Bei-Bei, Wee, Leonard, Traverso, Alberto, O'Sullivan, Brian, Hoebers, Frank, Dekker, Andre, Jaffray, David A.

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Automated detection of dental artifacts for large-scale radiomic analysis in radiation oncology von Arrowsmith, Colin, Reiazi, Reza, Welch, Mattea L., Kazmierski, Michal, Patel, Tirth, Rezaie, Aria, Tadic, Tony, Bratman, Scott, Haibe-Kains, Benjamin

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Fully automated treatment planning for head and neck radiotherapy using a voxel-based dose prediction and dose mimicking method von McIntosh, Chris, Welch, Mattea, McNiven, Andrea, Jaffray, David A, Purdie, Thomas G

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Abstract PO-030: Radiomics for head and neck cancer prognostication: results from the RADCURE machine learning challenge von Kazmierski, Michal, Welch, Mattea, Haibe-Kains, Benjamin

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Machine learning helps identifying volume-confounding effects in radiomics von Traverso, Alberto, Kazmierski, Michal, Zhovannik, Ivan, Welch, Mattea, Wee, Leonard, Jaffray, David, Dekker, Andre, Hope, Andrew

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A T2-weighted MRI-based radiomic signature for disease-free survival in locally advanced cervical cancer following chemoradiation: An international, multicentre study von Marsilla, Joseph, Weiss, Jessica, Ye, Xiang Y., Welch, Mattea, Milosevic, Michael, Lyng, Heidi, Hompland, Tord, Bruheim, Kjersti, Tadic, Tony, Haibe-Kains, Benjamin, Han, Kathy

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Abstract PO-034: The prediction of mandibular osteoradionecrosis in head and neck cancer patients using CT-derived radiomics features von Reiazi, Reza, Welch, Mattea, Bratman, Scott V., Hope, Andrew J., Haibe-Kains, Benjamin

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2675: Automated analysis of elective neck treatment in patients with oropharyngeal squamous cell carcinoma von Hope, Andrew, Marsilla, Joseph, Siraj, Joshua, Kim, Jun Won, Kim, Sejin, Welch, Mattea, Huang, Shao Hui, O'Sullivan, Brian, Bratman, Scott, Haibe-Kains, Benjamin

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Stability of radiomic features of apparent diffusion coefficient (ADC) maps for locally advanced rectal cancer in response to image pre-processing von Traverso, Alberto, Kazmierski, Michal, Shi, Zhenwei, Kalendralis, Petros, Welch, Mattea, Nissen, Henrik Dahl, Jaffray, David, Dekker, Andre, Wee, Leonard

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168 Automated analysis of elective neck radiation therapy patterns in patients with head and neck cancer von Marsilla, Joseph, Kim, Jun Won, Kim, Sejin, Welch, Mattea, Huang, Shao Hui, O'Sullivan, Brian, Bratman, Scott, Haibe-Kains, Benjamin, Hope, Andrew

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