The Shape of Things to Come: 3D Printing in Medicine von Michalski, Mark H, Ross, Joseph S

Volltext

Current Applications and Future Impact of Machine Learning in Radiology von Choy, Garry, Khalilzadeh, Omid, Michalski, Mark, Do, Synho, Samir, Anthony E, Pianykh, Oleg S, Geis, J Raymond, Pandharipande, Pari V, Brink, James A, Dreyer, Keith J

Volltext

Triblock copolymer coated iron oxide nanoparticle conjugate for tumor integrin targeting von Chen, Kai, Xie, Jin, Xu, Hengyi, Behera, Deepak, Michalski, Mark H, Biswal, Sandip, Wang, Andrew, Chen, Xiaoyuan

Volltext

Validation pipeline for machine learning algorithm assessment for multiple vendors von Bizzo, Bernardo C, Ebrahimian, Shadi, Walters, Mark E, Michalski, Mark H, Andriole, Katherine P, Dreyer, Keith J, Kalra, Mannudeep K, Alkasab, Tarik, Digumarthy, Subba R

Volltext

Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks von Shin, Hoo-Chang, Tenenholtz, Neil A., Rogers, Jameson K., Schwarz, Christopher G., Senjem, Matthew L., Gunter, Jeffrey L., Andriole, Katherine P., Michalski, Mark

Volltext

Molecular imaging in cancer treatment von Michalski, Mark H., Chen, Xiaoyuan

Volltext

Tomosynthesis in the Diagnostic Setting: Changing Rates of BI-RADS Final Assessment over Time von Raghu, Madhavi, Durand, Melissa A, Andrejeva, Liva, Goehler, Alexander, Michalski, Mark H, Geisel, Jaime L, Hooley, Regina J, Horvath, Laura J, Butler, Reni, Forman, Howard P, Philpotts, Liane E

Volltext

Artificial Intelligence and Clinical Decision Support for Radiologists and Referring Providers von Bizzo, Bernardo C., Almeida, Renata R., Michalski, Mark H., Alkasab, Tarik K.

Volltext

Optimal directional volatile transport in retronasal olfaction von Ni, Rui, 倪睿, Michalski, Mark H., Brown, Elliott, Doan, Ngoc, Zinter, Joseph, Ouellette, Nicholas T., Shepherd, Gordon M.

Volltext

Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets von Gauriau, Romane, Bridge, Christopher, Chen, Lina, Kitamura, Felipe, Tenenholtz, Neil A., Kirsch, John E., Andriole, Katherine P., Michalski, Mark H., Bizzo, Bernardo C.

Volltext

The Need for a Machine Learning Curriculum for Radiologists von Wood, Monica J., Tenenholtz, Neil A., Geis, J. Raymond, Michalski, Mark H., Andriole, Katherine P.

Volltext

Implementing the DICOM Standard for Digital Pathology von Herrmann, Markus D., Clunie, David A., Fedorov, Andriy, Doyle, Sean W., Pieper, Steven, Klepeis, Veronica, Le, Long P, Mutter, George L., Milstone, David S., Schultz, Thomas J., Kikinis, Ron, Kotecha, Gopal K., Hwang, David H., Andriole, Katherine P, lafrate, A. John, Brink, James A., Boland, Giles W., Dreyer, Keith J., Michalski, Mark, Golden, Jeffrey A., Louis, David N., Lennerz, Jochen K.

Volltext

Can an infectious disease genomics project predict and prevent the next pandemic? von Gupta, Rajesh, Michalski, Mark H, Rijsberman, Frank R

Volltext

Hybrid Imaging with SPECT/CT and SPECT/MRI in Hepatic Splenosis von Djekidel, Mehdi, Michalski, Mark

Volltext

Hybrid Imaging with SPECT-CT and SPECT-MR in Hepatic Splenosis von Djekidel, Mehdi, Michalski, Mark

Volltext

An original approach to the Gap Model with regard to the business insurance sector von Jarosław Wenancjusz Przybytniowski, Mark Michalski

Volltext

3D printing from diagnostic images: a radiologist’s primer with an emphasis on musculoskeletal imaging—putting the 3D printing of pathology into the hands of every physician von Friedman, Tamir, Michalski, Mark, Goodman, T. Rob, Brown, J. Elliott

Volltext

Pressure-Regulated Ventilator Splitting for Disaster Relief: Design, Testing, and Clinical Experience von Raredon, Micha Sam Brickman, Fisher, Clark, Heerdt, Paul M., Schonberger, Robert B., Nargi, Alyssa, Nivison, Steven, Fajardo, Elaine, Deshpande, Ranjit, Akhtar, Shamsuddin, Greaney, Allison M., Belter, Joseph, Raredon, Thomas, Zinter, Joseph, McKee, Andrew, Michalski, Mark, Baevova, Pavlina, Niklason, Laura E.

Volltext

Pressure-Regulated Ventilator Splitting for Disaster Relief: Design, Testing, and Clinical Experience von Raredon, Micha Sam Brickman, Fisher, Clark, Heerdt, Paul M., Schonberger, Robert B., Nargi, Alyssa, Nivison, Steven, Fajardo, Elaine, Deshpande, Ranjit, Akhtar, Shamsuddin, Greaney, Allison M., Belter, Joseph, Raredon, Thomas, Zinter, Joseph, McKee, Andrew, Michalski, Mark, Baevova, Pavlina, Niklason, Laura E.

Volltext

Abstract WP68: Interpretable Deep Learning-based Characterization of Intracranial Hemorrhage on Head CT von Bizzo, Bernardo, Hashemian, Behrooz, McNitt, Troy, Caton, Michael T, Wiggins, Walter, Hillis, James, Tenenholtz, Neil, Kitamura, Felipe, Gonzalez, Gilberto, Michalski, Mark, Andriole, Katherine, Pomerantz, Stuart R

Volltext