Kline, Timothy L.

Machine learning for medical imaging

Erickson, B. J., Korfiatis, P., Akkus, Z., & Kline, T. L. (2017) · RadioGraphics

Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education

Cited by 1,672

Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning

Weston, A. D., Korfiatis, P., Kline, T. L., Philbrick, K. A., Kostandy, P., Sakinis, T., Sugimoto, M., Takahashi, N., & Erickson, B. J. (2019) · Radiology

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 358

Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis

Mukherjee, S., Patra, A., Khasawneh, H., Korfiatis, P., Rajamohan, N., Suman, G., Majumder, S., Panda, A., Johnson, M. P., Larson, N. B., et al. (2022) · Gastroenterology

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

Cited by 187

Borderline resectable and locally advanced pancreatic cancer: FDG PET/MRI and CT tumor metrics for assessment of pathologic response to neoadjuvant therapy and prediction of survival

Panda, A., Garg, I., Truty, M. J., Kline, T. L., Johnson, M. P., Ehman, E. C., Suman, G., Anaam, D. A., Kemp, B. J., Johnson, G. B., et al. (2021) · American Journal of Roentgenology

Pancreatic and Hepatic Oncology ResearchMedical Imaging Techniques and Applications

Cited by 71

Implementing Artificial Intelligence Algorithms in the Radiology Workflow: Challenges and Considerations

Korfiatis, P., Kline, T. L., Meyer, H. M., Khalid, S., Leiner, T., Loufek, B. T., Blezek, D., Vidal, D. E., Hartman, R. P., Joppa, L. J., et al. (2025) · Mayo Clinic Proceedings Digital Health

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 46