An attention based deep learning model of clinical events in the intensive care unit von Kaji, Deepak A, Zech, John R, Kim, Jun S, Cho, Samuel K, Dangayach, Neha S, Costa, Anthony B, Oermann, Eric K

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MicroRNA profiling in prostate cancer--the diagnostic potential of urinary miR-205 and miR-214 von Srivastava, Anvesha, Goldberger, Helle, Dimtchev, Alexander, Ramalinga, Malathi, Chijioke, Juliet, Marian, Catalin, Oermann, Eric K, Uhm, Sunghae, Kim, Joy S, Chen, Leonard N, Li, Xin, Berry, Deborah L, Kallakury, Bhaskar V S, Chauhan, Subhash C, Collins, Sean P, Suy, Simeng, Kumar, Deepak

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Alterations of metabolic genes and metabolites in cancer von Oermann, Eric K., Wu, Jing, Guan, Kun-Liang, Xiong, Yue

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Coagulation Profile as a Risk Factor for 30-Day Morbidity and Mortality Following Posterior Lumbar Fusion von Bronheim, Rachel S., Oermann, Eric K., Cho, Samuel K., Caridi, John M.

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Deploying deep learning models on unseen medical imaging using adversarial domain adaptation von Valliani, Aly A, Gulamali, Faris F, Kwon, Young Joon, Martini, Michael L, Wang, Chiatse, Kondziolka, Douglas, Chen, Viola J, Wang, Weichung, Costa, Anthony B, Oermann, Eric K

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Predicting Surgical Complications in Adult Patients Undergoing Anterior Cervical Discectomy and Fusion Using Machine Learning von Arvind, Varun, Kim, Jun S., Oermann, Eric K., Kaji, Deepak, Cho, Samuel K.

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Predicting adult neuroscience intensive care unit admission from emergency department triage using a retrospective, tabular-free text machine learning approach von Klang, Eyal, Kummer, Benjamin R., Dangayach, Neha S., Zhong, Amy, Kia, M. Arash, Timsina, Prem, Cossentino, Ian, Costa, Anthony B., Levin, Matthew A., Oermann, Eric K.

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Stereotactic body radiation therapy (SBRT) for clinically localized prostate cancer: the Georgetown University experience von Chen, Leonard N, Suy, Simeng, Uhm, Sunghae, Oermann, Eric K, Ju, Andrew W, Chen, Viola, Hanscom, Heather N, Laing, Sarah, Kim, Joy S, Lei, Siyuan, Batipps, Gerald P, Kowalczyk, Keith, Bandi, Gaurav, Pahira, John, McGeagh, Kevin G, Collins, Brian T, Krishnan, Pranay, Dawson, Nancy A, Taylor, Kathryn L, Dritschilo, Anatoly, Lynch, John H, Collins, Sean P

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Automated Measurement of Lumbar Lordosis on Radiographs Using Machine Learning and Computer Vision von Cho, Brian H., Kaji, Deepak, Cheung, Zoe B., Ye, Ivan B., Tang, Ray, Ahn, Amy, Carrillo, Oscar, Schwartz, John T., Valliani, Aly A., Oermann, Eric K., Arvind, Varun, Ranti, Daniel, Sun, Li, Kim, Jun S., Cho, Samuel K.

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Automated deep-neural-network surveillance of cranial images for acute neurologic events von Titano, Joseph J., Badgeley, Marcus, Schefflein, Javin, Pain, Margaret, Su, Andres, Cai, Michael, Swinburne, Nathaniel, Zech, John, Kim, Jun, Bederson, Joshua, Mocco, J., Drayer, Burton, Lehar, Joseph, Cho, Samuel, Costa, Anthony, Oermann, Eric K.

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The Volumetric Response of Brain Metastases After Stereotactic Radiosurgery and Its Post-treatment Implications von Sharpton, Suzanne R., Oermann, Eric K., Moore, Dominic T., Schreiber, Eric, Hoffman, Riane, Morris, David E., Ewend, Matthew G.

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Population scale latent space cohort matching for the improved use and exploration of observational trial data von Gologorsky, Rachel, Somani, Sulaiman S., Neifert, Sean N., Valliani, Aly A., Link, Katherine E., Chen, Viola J., Costa, Anthony B., Oermann, Eric K.

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Aneurysmal Subarachnoid Hemorrhage: the Last Decade von Neifert, Sean N., Chapman, Emily K., Martini, Michael L., Shuman, William H., Schupper, Alexander J., Oermann, Eric K., Mocco, J., Macdonald, R. Loch

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Predictors of treatment failure following coil embolization of intracranial aneurysms von Mascitelli, Justin R, Oermann, Eric K, De Leacy, Reade A, Moyle, Henry, Mocco, J, Patel, Aman B

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Predicting STA-MCA Anastomosis Success: Insights from FLOW 800 Hemodynamics von Sangwon, Karl L., Oermann, Eric K., Nossek, Erez

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Stereotactic radiosurgery (SRS) for melanoma brain metastases: a comprehensive clinical case series von Feng, Rui, MS, Oermann, Eric K., MD, Shrivastava, Raj, MD, Gold, Ariel, BS, Collins, Brian T, Kondziolka, Douglas, MD, Collins, Sean P., MD, PhD

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Examining the Ability of Artificial Neural Networks Machine Learning Models to Accurately Predict Complications Following Posterior Lumbar Spine Fusion von Kim, Jun S., Merrill, Robert K., Arvind, Varun, Kaji, Deepak, Pasik, Sara D., Nwachukwu, Chuma C., Vargas, Luilly, Osman, Nebiyu S., Oermann, Eric K., Caridi, John M., Cho, Samuel K.

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Editorial. The future of stroke care is remote and now von Oermann, Eric K, Riina, Howard A

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CyberKnife radiosurgery for inoperable stage IA non-small cell lung cancer: 18F-fluorodeoxyglucose positron emission tomography/computed tomography serial tumor response assessment von Vahdat, Saloomeh, Oermann, Eric K, Collins, Sean P, Yu, Xia, Abedalthagafi, Malak, Debrito, Pedro, Suy, Simeng, Yousefi, Shadi, Gutierrez, Constanza J, Chang, Thomas, Banovac, Filip, Anderson, Eric D, Esposito, Giuseppe, Collins, Brian T

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Impact of Neurosurgery Medical Student Research Grants on Neurosurgery Residency Choice von Awad, Ahmed J., MD, Sarkiss, Christopher A., MD, Kellner, Christopher P., MD, Steinberger, Jeremy, MD, Mascitelli, Justin R., MD, Oermann, Eric K., MD, Pain, Margaret, MD, De Leacy, Reade, MD, Shrivastava, Raj, MD, Bederson, Joshua B., MD, Mocco, J., MD, MS

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