Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data von Wang, Robin, Jiao, Zhicheng, Yang, Li, Choi, Ji Whae, Xiong, Zeng, Halsey, Kasey, Tran, Thi My Linh, Pan, Ian, Collins, Scott A., Feng, Xue, Wu, Jing, Chang, Ken, Shi, Lin-Bo, Yang, Shuai, Yu, Qi-Zhi, Liu, Jie, Fu, Fei-Xian, Jiang, Xiao-Long, Wang, Dong-Cui, Zhu, Li-Ping, Yi, Xiao-Ping, Healey, Terrance T., Zeng, Qiu-Hua, Liu, Tao, Hu, Ping-Feng, Huang, Raymond Y., Li, Yi-Hui, Sebro, Ronnie A., Zhang, Paul J. L., Wang, Jianxin, Atalay, Michael K., Liao, Wei-Hua, Fan, Yong, Bai, Harrison X.

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Deep learning-based classification of primary bone tumors on radiographs: A preliminary study von He, Yu, Pan, Ian, Bao, Bingting, Halsey, Kasey, Chang, Marcello, Liu, Hui, Peng, Shuping, Sebro, Ronnie A., Guan, Jing, Yi, Thomas, Delworth, Andrew T., Eweje, Feyisope, States, Lisa J., Zhang, Paul J., Zhang, Zishu, Wu, Jing, Peng, Xianjing, Bai, Harrison X.

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Medical Imaging and Image-Guided Interventions von Ronnie A. Sebro

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Automated detection of causal relationships among diseases and imaging findings in textual radiology reports von Sebro, Ronnie A, Kahn, Charles E

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In vivo intra-articular contrast enhanced μCT imaging of mouse knee cartilage von Jo, Stephanie Y., Sebro, Ronnie A.

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Association of health insurance status with presentation, treatment and outcomes in soft tissue sarcoma von Jain, Varsha, Venigalla, Sriram, Sebro, Ronnie A., Karakousis, Giorgos C., Wilson, Robert J., Weber, Kristy L., Shabason, Jacob E.

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Adult Pleomorphic Rhabdomyosarcomas: Assessing Outcomes Associated with Radiotherapy and Chemotherapy Use in the National Cancer Database von Reddy, Vishruth K., Jain, Varsha, Wilson II, Robert J., Hartner, Lee P., Diamond, Mark, Sebro, Ronnie A., Weber, Kristy L., Maki, Robert G., Shabason, Jacob E.

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Efficient Health Care: Decreasing MRI Scan Time von GharehMohammadi, Farid, Sebro, Ronnie A

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Racial and Ethnic Diversity Among Students, Graduates, and Faculty in Biostatistics and Epidemiology, 2010-2020 von Goodman, Melody S., Bather, Jemar R., Chu, Xiangying, Pagano, Marcello, Plepys, Christine M., Sebro, Ronnie A.

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Including diverse and admixed populations in genetic epidemiology research von Caliebe, Amke, Tekola‐Ayele, Fasil, Darst, Burcu F., Wang, Xuexia, Song, Yeunjoo E., Gui, Jiang, Sebro, Ronnie A., Balding, David J., Saad, Mohamad, Dubé, Marie‐Pierre

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Impact of Tumor‐Infiltrating Lymphocytes on Overall Survival in Merkel Cell Carcinoma von Butala, Anish A., Jain, Varsha, Reddy, Vishruth K., Sebro, Ronnie A., Song, Yun, Karakousis, Giorgos, Mitchell, Tara C., Lukens, J. Nicholas, Shabason, Jacob E.

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A Preliminary Study of Quantitative MRI Cartilage Loss Fraction and Its Association With Future Arthroplasty Using the Osteoarthritis Initiative Database von Jo, Stephanie, Sebro, Ronnie A, Zhang, Lei, Wang, Ze, Chang, Linda, Hochberg, Marc C, Mitchell, Braxton D

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Mitigating Bias in Clinical Machine Learning Models von Perez-Downes, Julio C., Tseng, Andrew S., McConn, Keith A., Elattar, Sara M., Sokumbi, Olayemi, Sebro, Ronnie A., Allyse, Megan A., Dangott, Bryan J., Carter, Rickey E., Adedinsewo, Demilade

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Pre-deployment assessment of an AI model to assist radiologists in chest X-ray detection and identification of lead-less implanted electronic devices for pre-MRI safety screening:... von White, Richard D., Demirer, Mutlu, Gupta, Vikash, Sebro, Ronnie A., Kusumoto, Frederick M., Erdal, Barbaros Selnur

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Definitive Local Therapy Is Associated with Improved Survival in Metastatic Soft Tissue Sarcomas von Reddy, Vishruth K, Jain, Varsha, Venigalla, Sriram, Nimgaokar, Vivek, Amurthur, Ashwin, Lee, Daniel Y, Sebro, Ronnie A, Maki, Robert G, Wilson, 2nd, Robert J, Weber, Kristy L, Shabason, Jacob E

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Clinical overview of the current state and future applications of positron emission tomography in bone and soft tissue sarcoma von Chen, Po-Hao, Mankoff, David A., Sebro, Ronnie A.

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PSMA-targeting TGFβ-insensitive armored CAR T cells in metastatic castration-resistant prostate cancer: a phase 1 trial von Narayan, Vivek, Barber-Rotenberg, Julie S., Jung, In-Young, Lacey, Simon F., Rech, Andrew J., Davis, Megan M., Hwang, Wei-Ting, Lal, Priti, Carpenter, Erica L., Maude, Shannon L., Plesa, Gabriela, Vapiwala, Neha, Chew, Anne, Moniak, Michael, Sebro, Ronnie A., Farwell, Michael D., Marshall, Amy, Gilmore, Joan, Lledo, Lester, Dengel, Karen, Church, Sarah E., Hether, Tyler D., Xu, Jun, Gohil, Mercy, Buckingham, Thomas H., Yee, Stephanie S., Gonzalez, Vanessa E., Kulikovskaya, Irina, Chen, Fang, Tian, Lifeng, Tien, Kyle, Gladney, Whitney, Nobles, Christopher L., Raymond, Hayley E., Hexner, Elizabeth O., Siegel, Donald L., Bushman, Frederic D., June, Carl H., Fraietta, Joseph A., Haas, Naomi B.

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Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update von Tejani, Ali S, Klontzas, Michail E, Gatti, Anthony A, Mongan, John T, Moy, Linda, Park, Seong Ho, Kahn, Jr, Charles E

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A Deep Learning Approach to MRI Scanner Manufacturer and Model Identification von Fang, Shengbang, Sebro, Ronnie A., Stamm, Matthew C.

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Cascading Neural Network Methodology for Artificial Intelligence-Assisted Radiographic Detection and Classification of Lead-Less Implanted Electronic Devices within the Chest von Demirer, Mutlu, White, Richard D, Gupta, Vikash, Sebro, Ronnie A, Erdal, Barbaros S

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