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

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Editorial: Novel immune markers and predictive models for immunotherapy and prognosis in breast and gynecological cancers 由 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 由 Valentina Zaccaria, David Tucker, Alberto Traverso

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Untapping Industrial Flexibility via Waste Heat-Driven Pumped Thermal Energy Storage Systems 由 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 由 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 由 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 由 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 由 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 由 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 由 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 由 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 由 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) 由 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 由 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 由 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 由 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 由 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 由 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 由 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 由 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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