Application of Radiomics in Predicting the Prognosis of Medulloblastoma in Children by Jiashu Chen, Wei Yang, Zesheng Ying, Ping Yang, Yuting Liang, Chen Liang, Baojin Shang, Hong Zhang, Yingjie Cai, Xiaojiao Peng, Hailang Sun, Wenping Ma, Ming Ge

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Swift prediction of personalized head and chest organ doses from CT examinations via neural networks with optimized quantity of hidden layers and radiomics features by Wencheng Shao, Xin Lin, Ying Huang, Liangyong Qu, Weihai Zhuo, Haikuan Liu

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MINDSETS: Multi-omics Integration with Neuroimaging for Dementia Subtyping and Effective Temporal Study by Salma Hassan, Dawlat Akaila, Maryam Arjemandi, Vijay Papineni, Mohammad Yaqub

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Radiomics features from the peritumoral region can be associated with the epilepsy status of glioblastoma patients by Yeong Chul Yun, Yeong Chul Yun, Yeong Chul Yun, Johann M. E. Jende, Johann M. E. Jende, Katharina Holz, Katharina Holz, Sabine Wolf, Sabine Wolf, Freya Garhöfer, Freya Garhöfer, Anja Hohmann, Philipp Vollmuth, Martin Bendszus, Heinz-Peter Schlemmer, Felix Sahm, Felix Sahm, Sabine Heiland, Wolfgang Wick, Varun Venkataramani, Varun Venkataramani, Felix T. Kurz, Felix T. Kurz, Felix T. Kurz

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Multi-modal radiomics features to predict overall survival of locally advanced esophageal cancer after definitive chemoradiotherapy by Nuo Yu, Yidong Wan, Lijing Zuo, Ying Cao, Dong Qu, Wenyang Liu, Lei Deng, Tao Zhang, Wenqing Wang, Jianyang Wang, Jima Lv, Zefen Xiao, Qinfu Feng, Zongmei Zhou, Nan Bi, Tianye Niu, Xin Wang

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Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer by Pu Zhou, Pu Zhou, Hongyan Qian, Pengfei Zhu, Jiangyuan Ben, Jiangyuan Ben, Guifang Chen, Qiuyi Chen, Lingli Chen, Jia Chen, Ying He, Ying He

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Machine Learning Models for Prognostic Assessment of Covid-19 Mortality Using Computed Tomography-Based Radiomics by Nima Yousefi, Maryam Salari, Vahid Ghavami, Saeed Akhlaghi

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Multimodal radiomics model with triple -timepoint contrast-enhanced ultrasound for precise diagnosis of C-TIRADS 4 thyroid nodules by Linlin Shao, Lili Zhang, Lifang Liu, Fangfang Sun, Hongyu Li, Tongfeng Liu, Feng Hu, Lirong Zhao

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Fast estimation of patient‐specific organ doses from abdomen and head CT examinations without segmenting internal organs using machine learning models by Wencheng Shao, Liangyong Qu, Xin Lin, Ying Huang, Weihai Zhuo, Haikuan Liu

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Enhancing radiomics robustness using bayesian penalized likelihood PET reconstruction: application to Phantom and non-small cell lung cancer patient studies by Zahra Valibeiglou, Jalil Pirayesh Islamian, Yunus Soleymani, Saeed Farzanehfar, Farahnaz Aghahosseini, Neda Gilani, Arman Rahmim, Peyman Sheikhzadeh

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Predicting the invasiveness of pulmonary adenocarcinoma using intratumoral and peritumoral radiomics features by Jingjing Hong, Liyang Yang, Jiekun Huo, Guoci Huang, Bowen Shan, Tingting Cai, Lianlian Zhang, Weikang Huang, Ge Wen

Subjects: “…radiomic features…”
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Quantitative study of changes in the hippocampus after whole-brain radiotherapy via multisequence magnetic resonance imaging radiomics by Rui Liu, Guan-Zhong Gong, Shan-Shan Du, Kang-Ning Meng, Ruo-Zheng Wang, Yong Yin

Subjects: “…Radiomic features…”
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Computed Tomography Scan and Clinical-based Complete Response Prediction in Locally Advanced Rectal Cancer after Neoadjuvant Chemoradiotherapy: A Machine Learning Approach by Seyyed Hossein Mousavie Anijdan, Daryush Moslemi, Reza Reiazi, Hamid Fallah Tafti, Ali Akbar Moghadamnia, Reza Paydar

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Spatial encoding and growth-related change of sheep lung radiomic features by David Collie, Chris Cousens, Steven Wright, Ziyuan Chang, James Meehan, Helen Brown, Calum D. Gray, Tom J. MacGillivray, David J. Griffiths, Chad E. Eckert, Nicole Storer, Mark Gray

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A CT-based machine learning model for using clinical-radiomics to predict malignant cerebral edema after stroke: a two-center study by Lingfeng Zhang, Gang Xie, Yue Zhang, Yue Zhang, Junlin Li, Junlin Li, Wuli Tang, Wuli Tang, Ling Yang, Ling Yang, Kang Li

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Radiomic Feature Characteristics of Ovine Pulmonary Adenocarcinoma by David Collie, Ziyuan Chang, James Meehan, Steven H. Wright, Chris Cousens, Jo Moore, Helen Todd, Jennifer Savage, Helen Brown, Calum D. Gray, Tom J. MacGillivray, David J. Griffiths, Chad E. Eckert, Nicole Storer, Mark Gray

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Radiomic Feature Extraction Based on Computed Tomography for Stroke Patients by Alamgir Hossain, Jolly Sultana, Shahed Hossain, Hafizur Rahman

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Robust vs. Non-robust radiomic features: the quest for optimal machine learning models using phantom and clinical studies by Seyyed Ali Hosseini, Ghasem Hajianfar, Brandon Hall, Stijn Servaes, Pedro Rosa-Neto, Pardis Ghafarian, Habib Zaidi, Mohammad Reza Ay

Subjects: “…PET¸ Radiomic features…”
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Predicting Invasiveness in Lepidic Pattern Adenocarcinoma of Lung: Analysis of Visual Semantic and Radiomic Features by Sean F. Johnson, Seyed Mohammad Hossein Tabatabaei, Grace Hyun J. Kim, Bianca E. Villegas, Matthew Brown, Scott Genshaft, Robert D. Suh, Igor Barjaktarevic, William Dean Wallace, Fereidoun Abtin

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Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning by A. Beena Godbin, S. Graceline Jasmine

Subjects: “…Radiomic feature…”
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