Implementing Machine Learning in Radiology Practice and Research von Kohli, Marc, Prevedello, Luciano M, Filice, Ross W, Geis, J Raymond

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Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging von Prevedello, Luciano M, Erdal, Barbaros S, Ryu, John L, Little, Kevin J, Demirer, Mutlu, Qian, Songyue, White, Richard D

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The RSNA Pediatric Bone Age Machine Learning Challenge von Halabi, Safwan S, Prevedello, Luciano M, Kalpathy-Cramer, Jayashree, Mamonov, Artem B, Bilbily, Alexander, Cicero, Mark, Pan, Ian, Pereira, Lucas Araújo, Sousa, Rafael Teixeira, Abdala, Nitamar, Kitamura, Felipe Campos, Thodberg, Hans H, Chen, Leon, Shih, George, Andriole, Katherine, Kohli, Marc D, Erickson, Bradley J, Flanders, Adam E

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Endoscopic endonasal marsupialization of rathke cleft cysts: clinical outcomes and risk factors analysis of visual impairment, pituitary dysfunction, and CSF leak von Alsavaf, Mohammad Bilal, Wu, Kyle C., Gosal, Jaskaran S., Finger, Guilherme, Koch, Brandon, Abouammo, Moataz D., Prevedello, Luciano M., Carrau, Ricardo L., Prevedello, Daniel M.

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CT and MR utilization and morbidity metrics across Body Mass Index von Dawod, Mina, Nagib, Paul, Zaki, John, Prevedello, Luciano M, Ajam, Amna A, Nguyen, Xuan V

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Recurrent CT, Cumulative Radiation Exposure, and Associated Radiation-induced Cancer Risks from CT of Adults von SODICKSON, Aaron, BAEYENS, Pieter F, ANDRIOLE, Katherine P, PREVEDELLO, Luciano M, NAWFEL, Richard D, HANSON, Richard, KHORASANI, Ramin

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Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI von Dikici, Engin, Ryu, John L., Demirer, Mutlu, Bigelow, Matthew, White, Richard D., Slone, Wayne, Erdal, Barbaros Selnur, Prevedello, Luciano M.

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Are quantitative features of lung nodules reproducible at different CT acquisition and reconstruction parameters? von Erdal, Barbaros S, Demirer, Mutlu, Little, Kevin J, Amadi, Chiemezie C, Ibrahim, Gehan F M, O'Donnell, Thomas P, Grimmer, Rainer, Gupta, Vikash, Prevedello, Luciano M, White, Richard D

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Quantifying effects of blood pressure control on neuroimaging utilization in a large multi-institutional healthcare population von Welch, Theodore R, Yaqub, Aliza, Aiti, Danny, Prevedello, Luciano M, Ajam, Zarar A, Nguyen, Xuan V

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Machine Learning in Radiology: Applications Beyond Image Interpretation von Lakhani, Paras, Prater, Adam B., Hutson, R. Kent, Andriole, Kathy P., Dreyer, Keith J., Morey, Jose, Prevedello, Luciano M., Clark, Toshi J., Geis, J. Raymond, Itri, Jason N., Hawkins, C. Matthew

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Real-time intraoperative ultrasound imaging of the posterior pituitary gland during endoscopic endonasal approach von Juncker, Ryan B., Finger, Guilherme, Damante, Mark A., Prevedello, Luciano M., Prevedello, Daniel M., Wu, Kyle C.

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The role of indocyanine green fluorescence in endoscopic endonasal skull base surgery and its imaging correlations von Shahein, Mostafa, Prevedello, Daniel M, Beaumont, Thomas L, Ismail, Khalid, Nouby, Radwan, Palettas, Marilly, Prevedello, Luciano M, Otto, Bradley A, Carrau, Ricardo L

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Prediction of model generalizability for unseen data: Methodology and case study in brain metastases detection in T1-Weighted contrast-enhanced 3D MRI von Dikici, Engin, Nguyen, Xuan V., Takacs, Noah, Prevedello, Luciano M.

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Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia von Shih, George, Wu, Carol C, Halabi, Safwan S, Kohli, Marc D, Prevedello, Luciano M, Cook, Tessa S, Sharma, Arjun, Amorosa, Judith K, Arteaga, Veronica, Galperin-Aizenberg, Maya, Gill, Ritu R, Godoy, Myrna C B, Hobbs, Stephen, Jeudy, Jean, Laroia, Archana, Shah, Palmi N, Vummidi, Dharshan, Yaddanapudi, Kavitha, Stein, Anouk

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Effect of computerized clinical decision support on the use and yield of CT pulmonary angiography in the emergency department von Raja, Ali S, Ip, Ivan K, Prevedello, Luciano M, Sodickson, Aaron D, Farkas, Cameron, Zane, Richard D, Hanson, Richard, Goldhaber, Samuel Z, Gill, Ritu R, Khorasani, Ramin

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Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge von Flanders, Adam E, Prevedello, Luciano M, Shih, George, Halabi, Safwan S, Kalpathy-Cramer, Jayashree, Ball, Robyn, Mongan, John T, Stein, Anouk, Kitamura, Felipe C, Lungren, Matthew P, Choudhary, Gagandeep, Cala, Lesley, Coelho, Luiz, Mogensen, Monique, Morón, Fanny, Miller, Elka, Ikuta, Ichiro, Zohrabian, Vahe, McDonnell, Olivia, Lincoln, Christie, Shah, Lubdha, Joyner, David, Agarwal, Amit, Lee, Ryan K, Nath, Jaya

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Growth dynamics of Rathke's Cleft cyst: a risk score system for surgical decision making von Alsavaf, Mohammad Bilal, Gosal, Jaskaran S., Wu, Kyle C., Varthya, Shoban Babu, Abouammo, Moataz D., Prevedello, Luciano M., Carrau, Ricardo L., Prevedello, Daniel M.

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Augmented networks for faster brain metastases detection in T1-weighted contrast-enhanced 3D MRI von Dikici, Engin, Nguyen, Xuan V., Bigelow, Matthew, Prevedello, Luciano M.

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Four-year impact of an alert notification system on closed-loop communication of critical test results von Lacson, Ronilda, Prevedello, Luciano M, Andriole, Katherine P, O'Connor, Stacy D, Roy, Christopher, Gandhi, Tejal, Dalal, Anuj K, Sato, Luke, Khorasani, Ramin

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Training Strategies for Radiology Deep Learning Models in Data-limited Scenarios von Candemir, Sema, Nguyen, Xuan V, Folio, Les R, Prevedello, Luciano M

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