Repeatability and Reproducibility of Radiomic Features: A Systematic Review von Traverso, Alberto, Wee, Leonard, Dekker, Andre, Gillies, Robert

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Gas turbine combined cycle start-up and stress evaluation: A simplified dynamic approach von Rossi, Iacopo, Sorce, Alessandro, Traverso, Alberto

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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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Thermal energy storage for CSP hybrid gas turbine systems: Dynamic modelling and experimental validation von Mahmood, Mariam, Traverso, Alberto, Traverso, Alberto Nicola, Massardo, Aristide F., Marsano, Davide, Cravero, Carlo

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Untapping Industrial Flexibility via Waste Heat-Driven Pumped Thermal Energy Storage Systems von Barberis, Stefano, Maccarini, Simone, Shamsi, Syed Safeer Mehdi, Traverso, Alberto

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Editorial: Novel immune markers and predictive models for immunotherapy and prognosis in breast and gynecological cancers von Wang, Fuhao, Huang, Qingyu, Guo, Shicheng, Traverso, Alberto, Teng, Feifei, Liu, Chao

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A radiomics nomogram for the ultrasound-based evaluation of central cervical lymph node metastasis in papillary thyroid carcinoma von Wen, Quan, Wang, Zhixiang, Traverso, Alberto, Liu, Yujiang, Xu, Ruifang, Feng, Ying, Qian, Linxue

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The AIMe registry for artificial intelligence in biomedical research von Matschinske, Julian, Alcaraz, Nicolas, Benis, Arriel, Golebiewski, Martin, Grimm, Dominik G., Heumos, Lukas, Kacprowski, Tim, Lazareva, Olga, List, Markus, Louadi, Zakaria, Pauling, Josch K., Pfeifer, Nico, Röttger, Richard, Schwämmle, Veit, Sturm, Gregor, Traverso, Alberto, Van Steen, Kristel, de Freitas, Martiela Vaz, Villalba Silva, Gerda Cristal, Wee, Leonard, Wenke, Nina K., Zanin, Massimiliano, Zolotareva, Olga, Baumbach, Jan, Blumenthal, David B.

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Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation von Pai, Suraj, Hadzic, Ibrahim, Rao, Chinmay, Zhovannik, Ivan, Dekker, Andre, Traverso, Alberto, Asteriadis, Stylianos, Hortal, Enrique

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Real-time management solutions for a smart polygeneration microgrid von Rossi, Iacopo, Banta, Larry, Cuneo, Alessandra, Ferrari, Mario Luigi, Traverso, Alberto Nicola, Traverso, Alberto

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An Updated Design Procedure for Tesla Turbines von Renuke, Avinash, Traverso, Alberto, Kalfas, Anestis

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Real-time tool for management of smart polygeneration grids including thermal energy storage von Ferrari, Mario L., Pascenti, Matteo, Sorce, Alessandro, Traverso, Alberto, Massardo, Aristide F.

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Performance assessment of a reversible Tesla machine von Tiwari, Ravi Nath, Traverso, Alberto, Reggio, Federico

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A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features von Pfaehler, Elisabeth, Zhovannik, Ivan, Wei, Lise, Boellaard, Ronald, Dekker, Andre, Monshouwer, René, El Naqa, Issam, Bussink, Jan, Gillies, Robert, Wee, Leonard, Traverso, Alberto

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Quantitative MRI-based radiomics analysis identifies blood flow feature associated to overall survival for rectal cancer patients von Knuth, Franziska, Tohidinezhad, Fariba, Winter, René M., Bakke, Kine Mari, Negård, Anne, Holmedal, Stein H., Ree, Anne Hansen, Meltzer, Sebastian, Traverso, Alberto, Redalen, Kathrine Røe

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An investigation of modelling parameters for surge phenomenon in axial compressors von Purushothaman, Sreenath, Traverso, Alberto, Mantelli, Luca, Massardo, Aristide

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Learning from scanners: Bias reduction and feature correction in radiomics von Zhovannik, Ivan, Bussink, Johan, Traverso, Alberto, Shi, Zhenwei, Kalendralis, Petros, Wee, Leonard, Dekker, Andre, Fijten, Rianne, Monshouwer, René

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Hybrid system test rig: Chemical composition emulation with steam injection von Ferrari, Mario L., Pascenti, Matteo, Traverso, Alberto N., Massardo, Aristide F.

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A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery von Wang, Zhixiang, Gao, Huiqiao, Wang, Xinghao, Grzegorzek, Marcin, Li, Jinfeng, Sun, Hengzi, Ma, Yidi, Zhang, Xuefang, Zhang, Zhen, Dekker, Andre, Traverso, Alberto, Zhang, Zhenyu, Qian, Linxue, Xiao, Meizhu, Feng, Ying

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Correction: A multi-task learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery von Wang, Zhixiang, Gao, Huiqiao, Wang, Xinghao, Grzegorzek, Marcin, Li, Jinfeng, Sun, Hengzi, Ma, Yidi, Zhang, Xuefang, Zhang, Zhen, Dekker, Andre, Traverso, Alberto, Zhang, Zhenyu, Qian, Linxue, Xiao, Meizhu, Feng, Ying

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