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

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

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A radiomics nomogram for the ultrasound-based evaluation of central cervical lymph node metastasis in papillary thyroid carcinoma by 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 by 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 by 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 by 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 by Fan Yang, Ying Feng, Pengfei Sun, Alberto Traverso, Andre Dekker, Bin Zhang, Zhen Huang, Zhixiang Wang, Dong Yan

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Generation of synthetic ground glass nodules using generative adversarial networks (GANs) by 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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Emerging role of quantitative imaging (radiomics) and artificial intelligence in precision oncology by 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 by 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 by 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 by 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 by 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 by 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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An Applicable Machine Learning Model Based on Preoperative Examinations Predicts Histology, Stage, and Grade for Endometrial Cancer by Ying Feng, Zhixiang Wang, Meizhu Xiao, Jinfeng Li, Yuan Su, Bert Delvoux, Zhen Zhang, Andre Dekker, Sofia Xanthoulea, Zhiqiang Zhang, Alberto Traverso, Andrea Romano, Zhenyu Zhang, Chongdong Liu, Huiqiao Gao, Shuzhen Wang, Linxue Qian

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A PET/CT radiomics model for predicting distant metastasis in early-stage non–small cell lung cancer patients treated with stereotactic body radiotherapy: a multicentric study by Lu Yu, Zhen Zhang, HeQing Yi, Jin Wang, Junyi Li, Xiaofeng Wang, Hui Bai, Hong Ge, Xiaoli Zheng, Jianjiao Ni, Haoran Qi, Yong Guan, Wengui Xu, Zhengfei Zhu, Ligang Xing, Andre Dekker, Leonard Wee, Alberto Traverso, Zhaoxiang Ye, Zhiyong Yuan

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METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII by Burak Kocak, Tugba Akinci D’Antonoli, Nathaniel Mercaldo, Angel Alberich-Bayarri, Bettina Baessler, Ilaria Ambrosini, Anna E. Andreychenko, Spyridon Bakas, Regina G. H. Beets-Tan, Keno Bressem, Irene Buvat, Roberto Cannella, Luca Alessandro Cappellini, Armando Ugo Cavallo, Leonid L. Chepelev, Linda Chi Hang Chu, Aydin Demircioglu, Nandita M. deSouza, Matthias Dietzel, Salvatore Claudio Fanni, Andrey Fedorov, Laure S. Fournier, Valentina Giannini, Rossano Girometti, Kevin B. W. Groot Lipman, Georgios Kalarakis, Brendan S. Kelly, Michail E. Klontzas, Dow-Mu Koh, Elmar Kotter, Ho Yun Lee, Mario Maas, Luis Marti-Bonmati, Henning Müller, Nancy Obuchowski, Fanny Orlhac, Nikolaos Papanikolaou, Ekaterina Petrash, Elisabeth Pfaehler, Daniel Pinto dos Santos, Andrea Ponsiglione, Sebastià Sabater, Francesco Sardanelli, Philipp Seeböck, Nanna M. Sijtsema, Arnaldo Stanzione, Alberto Traverso, Lorenzo Ugga, Martin Vallières, Lisanne V. van Dijk, Joost J. M. van Griethuysen, Robbert W. van Hamersvelt, Peter van Ooijen, Federica Vernuccio, Alan Wang, Stuart Williams, Jan Witowski, Zhongyi Zhang, Alex Zwanenburg, Renato Cuocolo

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