Prognostic value of isolated tumor cells and micrometastasis of lymph nodes in invasive urinary bladder cancer von Cheong, Harin, Yoo, Youngeun, Sung, Sun Hee, Park, Sanghui, Lee, Dong Hyeon, Kong, Kyoung Ae, Park, Heae Surng, Cho, Min-Sun

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Differential diagnosis of benign and lung adenocarcinoma presenting as larger solid nodules and masses based on multiscale CT radiomics von Xie, Jiayue, He, Yifan, Che, Siyu, Zhao, Wenjing, Niu, Yuxin, Qin, Dongxue, Li, Zhiyong

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The reproducibility and predictivity of radiomic features extracted from dynamic contrast-enhanced computed tomography of hepatocellular carcinoma von Ibrahim, Abdalla, Guha, Siddharth, Lu, Lin, Geng, Pengfei, Wu, Qian, Chou, Yen, Yang, Hao, Wang, Delin, Schwartz, Lawrence H, Xie, Chuan-Miao, Zhao, Binsheng

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National diagnostic reference levels for digital diagnostic and screening mammography in Uganda von Odongo, Denish, Musisi, Alen, Okello, Richard Omara, Bongomin, Felix, Erem, Geoffrey

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Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations von Hicks, Steven, Storås, Andrea, Riegler, Michael A, Midoglu, Cise, Hammou, Malek, de Lange, Thomas, Parasa, Sravanthi, Halvorsen, Pål, Strümke, Inga

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Diagnostic performance of ultrasound-based artificial intelligence for predicting key molecular markers in breast cancer: A systematic review and meta-analysis von Fu, Yuxia, Zhou, Jialin, Li, Junfeng

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CNNs trained with adult data are useful in pediatrics. A pneumonia classification example von Rollan-Martinez-Herrera, Maria, Díaz, Alejandro A, Estépar, Rubén San José, Sanchez-Ferrero, Gonzalo Vegas, Ross, James C, Estépar, Raúl San José, Nardelli, Pietro

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Multimodality radiomics for tumor prognosis in nasopharyngeal carcinoma von Khongwirotphan, Sararas, Oonsiri, Sornjarod, Kitpanit, Sarin, Prayongrat, Anussara, Kannarunimit, Danita, Chakkabat, Chakkapong, Lertbutsayanukul, Chawalit, Sriswasdi, Sira, Rakvongthai, Yothin

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A prediction model based on digital breast pathology image information von Sun, Guoxin, Cai, Liying, Yan, Xiong, Nie, Weihong, Liu, Xin, Xu, Jing, Zou, Xiao

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Clinical usability of 3D gradient-echo-based ultrashort echo time imaging: Is it enough to facilitate diagnostic decision in real-world practice? von Bak, So Hyeon, Park, Jinil, Lee, Seokwon, Kim, Jong Hee, Lee, Ho Yun, Park, Jang-Yeon

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Advanced photon counting CT imaging pipeline for cardiac phenotyping of apolipoprotein E mouse models von Allphin, Alex J, Mahzarnia, Ali, Clark, Darin P, Qi, Yi, Han, Zay Y, Bhandari, Prajwal, Ghaghada, Ketan B, Badea, Alexandra, Badea, Cristian T

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Accuracy of artificial intelligence CT quantification in predicting COVID-19 subjects' prognosis von Arian, Arvin, Mehrabi Nejad, Mohammad-Mehdi, Zoorpaikar, Mostafa, Hasanzadeh, Navid, Sotoudeh-Paima, Saman, Kolahi, Shahriar, Gity, Masoumeh, Soltanian-Zadeh, Hamid

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Non-contrast free-breathing 2D CINE compressed SENSE T1-TFE cardiovascular MRI at 3T in sedated young children for assessment of congenital heart disease von Ristow, Inka, Hancken-Pauschinger, Caroline-Viktoria, Zhang, Shuo, Stark, Maria, Kaul, Michael G, Rickers, Carsten, Herrmann, Jochen, Adam, Gerhard, Bannas, Peter, Well, Lennart, Weinrich, Julius Matthias

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Inter- and intra-rater reproducibility of quantitative T1 measurement using semiautomatic region of interest placement in myometrium von Nakagawa, Sadahiro, Uno, Takahiro, Ishitoya, Shunta, Takabayashi, Eriko, Oya, Akiko, Kubota, Wakako, Okizaki, Atsutaka

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An analysis of the effectiveness of reflective learning through watching videos recorded with smart glasses-With multiple views (student, patient, and overall) in radiography educa... von Muroi, Kenzo, Kyogoku, Shinsuke, Sakano, Yasuaki, Sakamoto, Hajime, Nakazeko, Kazuma, Koyama, Kazuya, Fukunaga, Issei, Hori, Kensuke, Kotake, Kumiko, Nojiri, Shuko, Sekine, Miwa, Nishizaki, Yuji, Daida, Hiroyuki

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Image-localized biopsy mapping of brain tumor heterogeneity: A single-center study protocol von Urcuyo, Javier C, Curtin, Lee, Langworthy, Jazlynn M, De Leon, Gustavo, Anderies, Barrett, Singleton, Kyle W, Hawkins-Daarud, Andrea, Jackson, Pamela R, Bond, Kamila M, Ranjbar, Sara, Lassiter-Morris, Yvette, Clark-Swanson, Kamala R, Paulson, Lisa E, Sereduk, Chris, Mrugala, Maciej M, Porter, Alyx B, Baxter, Leslie, Salomao, Marcela, Donev, Kliment, Hudson, Miles, Meyer, Jenna, Zeeshan, Qazi, Sattur, Mithun, Patra, Devi P, Jones, Breck A, Rahme, Rudy J, Neal, Matthew T, Patel, Naresh, Kouloumberis, Pelagia, Turkmani, Ali H, Lyons, Mark, Krishna, Chandan, Zimmerman, Richard S, Bendok, Bernard R, Tran, Nhan L, Hu, Leland S, Swanson, Kristin R

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Comparative analysis between different volumetric methods on measuring intracranial hemorrhage incorporating roundness index von Chaidee, Supanut, Inkeaw, Papangkorn, Makee, Thampaphon, Khamyod, Kamoltip, Angkurawaranon, Salita, Traisathit, Patrinee, Vaniyapong, Tanat, Chitapanarux, Imjai

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An efficient machine learning framework to identify important clinical features associated with pulmonary embolism von Zou, Baiming, Zou, Fei, Cai, Jianwen

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Dual-energy computed tomography material decomposition improves prediction accuracy of hematoma expansion in traumatic intracranial hemorrhage von Lee, Jungbin, Park, Sung-Tae, Hwang, Sun-Chul, Kim, Jung Youn, Lee, A Leum, Chang, Kee-Hyun

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Optimal length and temporal resolution of dynamic contrast-enhanced MR imaging for the differentiation between prostate cancer and normal peripheral zone tissue von Hellstern, Marius, Martinez, Carlos, Wallenhorst, Christopher, Beyersdorff, Dirk, Lüdemann, Lutz, Grimm, Marc-Oliver, Teichgräber, Ulf, Franiel, Tobias

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