C. Sabottke

发表

Improved Malware Clustering Using VirusTotal Meta data

Richard Johnson, C. Sabottke, E. Tanner, 2022 .

Estimation of age in unidentified patients via chest radiography using convolutional neural network regression

B. Spieler, C. Sabottke, Marc A. Breaux, 2020, Emergency Radiology.

Follow-up Recommendation Rates Associated With Spectral Detector Dual-Energy CT of the Abdomen and Pelvis: A Retrospective Comparison to Single-Energy CT.

David L. Smith, E. Dharaiya, P. Pandharipande, 2020, Journal of the American College of Radiology : JACR.

Assessing locoregional treatment response to Hepatocellular Carcinoma: comparison of hepatobiliary contrast agents to extracellular contrast agents

A. Kamath, B. Spieler, V. Chernyak, 2021, Abdominal Radiology.

LI-RADS treatment response assessment of combination locoregional therapy for HCC

B. Spieler, C. Sabottke, L. Tsai, 2021, Abdominal Radiology.

How to trick the Borg: threat models against manual and automated techniques for detecting network attacks

Tudor Dumitras, Lucas Layman, Daniel Chen, 2019, Comput. Secur..

A Framework for the Virtual Medical Interview Process: Considerations for the Applicant and the Interviewer

Claude J Pirtle, Claude J. Pirtle, B. Spieler, 2022, Ochsner Journal.

Feedforward Thalamocortical Connectivity Preserves Stimulus Timing Information in Sensory Pathways

Hsi-Ping Wang, Terrence J Sejnowski, Jonathan W Garcia, 2019, The Journal of Neuroscience.

Diagnosis in a snap: a pilot study using Snapchat in radiologic didactics

Claude J Pirtle, Claude J. Pirtle, B. Spieler, 2020, Emergency Radiology.

The Effect of Image Resolution on Deep Learning in Radiography.

Carl F. Sabottke, Bradley Spieler, B. Spieler, 2020, Radiology. Artificial intelligence.

Online conferencing software in radiology: Recent trends and utility

Claude J Pirtle, Claude J. Pirtle, B. Spieler, 2021, Clinical Imaging.

Artificial intelligence in assessment of hepatocellular carcinoma treatment response

B. Spieler, C. Sabottke, V. Yaghmai, 2021, Abdominal Radiology.

Analysis of Potential for User Errors in Mobile Deployment of Radiology Deep Learning for Cardiac Rhythm Device Detection

Carl Sabottke, Bradley Spieler, Marc Breaux, 2021, Journal of Digital Imaging.

Intrinsic bursting of AII amacrine cells underlies oscillations in the rd1 mouse retina.

Mark S. Cembrowski, Hannah Choi, W. Kath, 2014, Journal of neurophysiology.

Vulnerability Disclosure in the Age of Social Media: Exploiting Twitter for Predicting Real-World Exploits

Tudor Dumitras, Octavian Suciu, Carl Sabottke, 2015, USENIX Security Symposium.

Artificial Intelligence in Imaging of Chronic Liver Diseases: Current Update and Future Perspectives.

B. Spieler, C. Sabottke, K. Elsayes, 2021, Magnetic resonance imaging clinics of North America.

oscillations in the rd1 mouse retina Intrinsic bursting of AII amacrine cells underlies

Mark S. Cembrowski, W. Kath, D. Butts, 2014 .

Perspectives on lung visualization: Three-dimensional anatomical modeling of computed and micro-computed tomographic data in comparative evolutionary morphology and medicine with applications for COVID-19.

B. Spieler, C. Sabottke, E. Schachner, 2023, Anatomical record.

Thwarting the photon-number-splitting attack with entanglement-enhanced BB84 quantum key distribution

Petr M. Anisimov, Jonathan P. Dowling, Carl F. Sabottke, 2011, Defense + Commercial Sensing.

Radiomics in Abdominopelvic Solid-Organ Oncologic Imaging: Current Status.

M. Haider, B. Spieler, B. Turkbey, 2022, AJR. American journal of roentgenology.

Artificial intelligence in assessment of hepatocellular carcinoma treatment response

B. Spieler, C. Sabottke, V. Yaghmai, 2021, Abdominal Radiology.