Accuracy analysis of fMRI and MEG activations determined by intraoperative mapping von Ellis, David G, White, Matthew L, Hayasaka, Satoru, Warren, David E, Wilson, Tony W, Aizenberg, Michele R

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AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design von Li, Jianning, Pimentel, Pedro, Szengel, Angelika, Ehlke, Moritz, Lamecker, Hans, Zachow, Stefan, Estacio, Laura, Doenitz, Christian, Ramm, Heiko, Shi, Haochen, Chen, Xiaojun, Matzkin, Franco, Newcombe, Virginia, Ferrante, Enzo, Jin, Yuan, Ellis, David G., Aizenberg, Michele R., Kodym, Oldrich, Spanel, Michal, Herout, Adam, Mainprize, James G., Fishman, Zachary, Hardisty, Michael R., Bayat, Amirhossein, Shit, Suprosanna, Wang, Bomin, Liu, Zhi, Eder, Matthias, Pepe, Antonio, Gsaxner, Christina, Alves, Victor, Zefferer, Ulrike, von Campe, Gord, Pistracher, Karin, Schafer, Ute, Schmalstieg, Dieter, Menze, Bjoern H., Glocker, Ben, Egger, Jan

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Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model von Li, Jianning, Ellis, David G., Pepe, Antonio, Gsaxner, Christina, Aizenberg, Michele R., Kleesiek, Jens, Egger, Jan

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Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge von Li, Jianning, Ellis, David G., Kodym, Oldřich, Rauschenbach, Laurèl, Rieß, Christoph, Sure, Ulrich, Wrede, Karsten H., Alvarez, Carlos M., Wodzinski, Marek, Daniol, Mateusz, Hemmerling, Daria, Mahdi, Hamza, Clement, Allison, Kim, Evan, Fishman, Zachary, Whyne, Cari M., Mainprize, James G., Hardisty, Michael R., Pathak, Shashwat, Sindhura, Chitimireddy, Gorthi, Rama Krishna Sai S., Kiran, Degala Venkata, Gorthi, Subrahmanyam, Yang, Bokai, Fang, Ke, Li, Xingyu, Kroviakov, Artem, Yu, Lei, Jin, Yuan, Pepe, Antonio, Gsaxner, Christina, Herout, Adam, Alves, Victor, Španěl, Michal, Aizenberg, Michele R., Kleesiek, Jens, Egger, Jan

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The Association of Fractal Dimension with Vascularity and Clinical Outcomes in Glioblastoma von Lookian, Pashayar P, Chen, Eric X, Elhers, Landon D, Ellis, David G, Juneau, Paul, Wagoner, Jackson, Aizenberg, Michele R

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Structural Brain Imaging Predicts Individual-Level Task Activation Maps Using Deep Learning von Ellis, David G, Aizenberg, Michele R

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More fatal all-terrain vehicle crashes occur on the roadway than off: increased risk-taking characterises roadway fatalities von Denning, Gerene M, Harland, Karisa K, Ellis, David G, Jennissen, Charles A

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Utilization of virtual reality for endotracheal intubation training von Mayrose, James, Kesavadas, T., Chugh, Kevin, Joshi, Dhananjay, Ellis, David G.

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A preliminary study of a novel emergency department nursing triage simulation for research applications von Dubovsky, Steven L, Antonius, Daniel, Ellis, David G, Ceusters, Werner, Sugarman, Robert C, Roberts, Renee, Kandifer, Sevie, Phillips, James, Daurignac, Elsa C, Leonard, Kenneth E, Butler, Lisa D, Castner, Jessica P, Richard Braen, G

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Off-highway vehicle parks: Combining environment, knowledge, and enforcement for all-terrain vehicle injury prevention von Denning, Gerene M., Jennissen, Charles A., Harland, Karisa K., Ellis, David G., Buresh, Christopher T.

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National Telemedicine Initiatives: Essential to Healthcare Reform von Bashshur, Rashid L., Shannon, Gary W., Krupinski, Elizabeth A., Grigsby, Jim, Kvedar, Joseph C., Weinstein, Ronald S., Sanders, Jay H., Rheuban, Karen S., Nesbitt, Thomas S., Alverson, Dale C., Merrell, Ronald C., Linkous, Jonathan D., Ferguson, A. Stewart, Waters, Robert J., Stachura, Max E., Ellis, David G., Antoniotti, Nina M., Johnston, Barbara, Doarn, Charles R., Yellowlees, Peter, Normandin, Steven, Tracy, Joseph

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Use of the Einstein–Brillouin–Keller action quantization von Curtis, Lorenzo J., Ellis, David G.

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Deep Learning Using Augmentation via Registration: 1st Place Solution to the AutoImplant 2020 Challenge von Ellis, David G., Aizenberg, Michele R.

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Numerical implementation of Einstein-Brillouin-Keller quantization for arbitrary potentials von Larkoski, Andrew J., Ellis, David G., Curtis, Lorenzo J.

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Predicted utilization of emergency medical services telemedicine in decreasing ambulance transports von Haskins, Paul A, Ellis, David G, Mayrose, James

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Trialing U-Net Training Modifications for Segmenting Gliomas Using Open Source Deep Learning Framework von Ellis, David G., Aizenberg, Michele R.

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Probabilities as a bridge between classical and quantum-mechanical treatments von Curtis, Lorenzo J, Ellis, David G

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AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design von Li, Jianning, Pimentel, Pedro, Szengel, Angelika, Ehlke, Moritz, Lamecker, Hans, Zachow, Stefan, Estacio, Laura, Doenitz, Christian, Ramm, Heiko, Shi, Haochen, Chen, Xiaojun, Matzkin, Franco, Newcombe, Virginia, Ferrante, Enzo, Jin, Yuan, Ellis, David G, Aizenberg, Michele R, Kodym, Oldrich, Spanel, Michal, Herout, Adam, Mainprize, James G, Fishman, Zachary, Hardisty, Michael R, Bayat, Amirhossein, Shit, Suprosanna, Wang, Bomin, Liu, Zhi, Eder, Matthias, Pepe, Antonio, Gsaxner, Christina

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Qualitative Criteria for Feasible Cranial Implant Designs von Ellis, David G., Alvarez, Carlos M., Aizenberg, Michele R.

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A multi-state survey of videotaping practices for major trauma resuscitations von Ellis, David G, Lerner, E.Brooke, Jehle, Dietrich V.K, Romano, Karen, Siffring, Corydon

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