Understanding Sources of Variation to Improve the Reproducibility of Radiomics by Binsheng Zhao

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Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging by Lin Lu, Laurent Dercle, Binsheng Zhao, Lawrence H. Schwartz

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Assessing Agreement between Radiomic Features Computed for Multiple CT Imaging Settings. by Lin Lu, Ross C Ehmke, Lawrence H Schwartz, Binsheng Zhao

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The Impact of Image Acquisition Parameters and ComBat Harmonization on the Predictive Performance of Radiomics: A Renal Cell Carcinoma Model by Abdalla Ibrahim, Lin Lu, Hao Yang, Oguz Akin, Lawrence H. Schwartz, Binsheng Zhao

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Implementation Strategy of a CNN Model Affects the Performance of CT Assessment of EGFR Mutation Status in Lung Cancer Patients by Junfeng Xiong, Xiaoyang Li, Lin Lu, Lawrence H. Schwartz, Xiaolong Fu, Jun Zhao, Binsheng Zhao

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819 Radiomic markers associated with clinical benefit in advanced uveal melanoma patients with radiographic progression on tebentafusp by Richard Carvajal, Laura Collins, Shaad Abdullah, Volkan Beylergil, Lawrence Schwartz, Thomas Eche, Binsheng Zhao, Laurent Dercle

Monitoring Metastasis and Cachexia in a Patient with Breast Cancer: A Case Study by Nikita Consul, Xiaotao Guo, Courtney Coker, Sara Lopez-Pintado, Hanina Hibshoosh, Binsheng Zhao, Kevin Kalinsky, Swarnali Acharyya

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Monitoring Metastasis and Cachexia in a Patient with Breast Cancer: A Case Study by Nikita Consul, Xiaotao Guo, Courtney Coker, Sara Lopez-Pintado, Hanina Hibshoosh, Binsheng Zhao, Kevin Kalinsky, Swarnali Acharyya

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Identifying Robust Radiomics Features for Lung Cancer by Using In-Vivo and Phantom Lung Lesions by Lin Lu, Shawn H. Sun, Aaron Afran, Hao Yang, Zheng Feng Lu, James So, Lawrence H. Schwartz, Binsheng Zhao

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Convolutional Neural Network Addresses the Confounding Impact of CT Reconstruction Kernels on Radiomics Studies by Jin H. Yoon, Shawn H. Sun, Manjun Xiao, Hao Yang, Lin Lu, Yajun Li, Lawrence H. Schwartz, Binsheng Zhao

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Uncontrolled Confounders May Lead to False or Overvalued Radiomics Signature: A Proof of Concept Using Survival Analysis in a Multicenter Cohort of Kidney Cancer by Lin Lu, Firas S. Ahmed, Oguz Akin, Lyndon Luk, Xiaotao Guo, Hao Yang, Jin Yoon, A. Aari Hakimi, Lawrence H. Schwartz, Binsheng Zhao

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Predicting Tyrosine Kinase Inhibitor Treatment Response in Stage IV Lung Adenocarcinoma Patients With EGFR Mutation Using Model-Based Deep Transfer Learning by Runping Hou, Runping Hou, Xiaoyang Li, Xiaoyang Li, Junfeng Xiong, Junfeng Xiong, Tianle Shen, Wen Yu, Lawrence H. Schwartz, Binsheng Zhao, Jun Zhao, Xiaolong Fu

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Imaging-guided precision medicine in glioblastoma patients treated with immune checkpoint modulators: research trend and future directions in the field of imaging biomarkers and ar... by Mathieu Sinigaglia, Tarek Assi, Florent L. Besson, Samy Ammari, Myriam Edjlali, Whitney Feltus, Laura Rozenblum-Beddok, Binsheng Zhao, Lawrence H. Schwartz, Fatima-Zohra Mokrane, Laurent Dercle

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Machine learning-based identification of contrast-enhancement phase of computed tomography scans. by Siddharth Guha, Abdalla Ibrahim, Qian Wu, Pengfei Geng, Yen Chou, Hao Yang, Jingchen Ma, Lin Lu, Delin Wang, Lawrence H Schwartz, Chuan-Miao Xie, Binsheng Zhao

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Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy by Aurélien Marabelle, Samy Ammari, Eric Deutsch, Michael Farwell, Heiko Schöder, Lawrence H Schwartz, Binsheng Zhao, Laurent Dercle, Jeremy McGale, Shawn Sun, Randy Yeh, Fatima-Zohra Mokrane

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Determining the Variability of Lesion Size Measurements from CT Patient Data Sets Acquired under “No Change” Conditions by Michael F. McNitt-Gray, Grace Hyun Kim, Binsheng Zhao, Lawrence H. Schwartz, David Clunie, Kristin Cohen, Nicholas Petrick, Charles Fenimore, Z.Q. John Lu, Andrew J. Buckler

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