AMBIENT TEMPERATURE IMPACT ON MICRO GAS TURBINES: EXPERIMENTAL CHARACTERIZATION af Iacopo Rossi, Alberto Traverso

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

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Gas turbine advanced power systems to improve solid oxide fuel cell economic viability af Valentina Zaccaria, David Tucker, Alberto Traverso

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

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Prediction models for treatment-induced cardiac toxicity in patients with non-small-cell lung cancer: A systematic review and meta-analysis af Fariba Tohidinezhad, Francesca Pennetta, Judith van Loon, Andre Dekker, Dirk de Ruysscher, Alberto Traverso

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

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CycleGAN Clinical Image Augmentation Based on Mask Self-Attention Mechanism af Junzhuo Liu, Zhixiang Wang, Ye Zhang, Alberto Traverso, Andre Dekker, Zhen Zhang, Qiaosong Chen

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Prediction models for brachytherapy-induced rectal toxicity in patients with locally advanced pelvic cancers: a systematic review af Fariba Tohidinezhad, Yves Willems, Maaike Berbee, Evert Van Limbergen, Frank Verhaegen, Andre Dekker, Alberto Traverso

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

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Preoperative prediction of high-grade osteosarcoma response to neoadjuvant therapy based on a plain CT radiomics model: A dual-center study af Fan Yang, Ying Feng, Pengfei Sun, Alberto Traverso, Andre Dekker, Bin Zhang, Zhen Huang, Zhixiang Wang, Dong Yan

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

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

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Generation of synthetic ground glass nodules using generative adversarial networks (GANs) af Zhixiang Wang, Zhen Zhang, Ying Feng, Lizza E. L. Hendriks, Razvan L. Miclea, Hester Gietema, Janna Schoenmaekers, Andre Dekker, Leonard Wee, Alberto Traverso

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Radiomics integration into a picture archiving and communication system af Ivan Zhovannik, Suraj Pai, Talia A. da Silva Santos, Lars L.G. van Driel, Andre Dekker, Rianne Fijten, Alberto Traverso, Johan Bussink, René Monshouwer

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Emerging role of quantitative imaging (radiomics) and artificial intelligence in precision oncology af Ashish Kumar Jha, Sneha Mithun, Umeshkumar B. Sherkhane, Pooj Dwivedi, Senders Puts, Biche Osong, Alberto Traverso, Nilendu Purandare, Leonard Wee, Venkatesh Rangarajan, Andre Dekker

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

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Clinical analysis and artificial intelligence survival prediction of serous ovarian cancer based on preoperative circulating leukocytes af Ying Feng, Zhixiang Wang, Ran Cui, Meizhu Xiao, Huiqiao Gao, Huimin Bai, Bert Delvoux, Zhen Zhang, Andre Dekker, Andrea Romano, Shuzhen Wang, Alberto Traverso, Chongdong Liu, Zhenyu Zhang

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Multi‐Institutional MR‐Derived Radiomics to Predict Post‐Exenteration Disease Recurrence in Patients With T4 Rectal Cancer af Niall J. O'Sullivan, Fariba Tohidinezhad, Hugo C. Temperley, Mirac Ajredini, Bedirye Koyuncu Sokmen, Rumeysa Atabey, Leyla Ozer, Erman Aytac, Alison Corr, Alberto Traverso, James F. Meaney, Michael E. Kelly

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

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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 af Zhixiang Wang, Huiqiao Gao, Xinghao Wang, Marcin Grzegorzek, Jinfeng Li, Hengzi Sun, Yidi Ma, Xuefang Zhang, Zhen Zhang, Andre Dekker, Alberto Traverso, Zhenyu Zhang, Linxue Qian, Meizhu Xiao, Ying Feng

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