Erickson, Bradley J.

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

Deep learning for brain MRI segmentation: state of the art and future directions

Akkus, Z., Galimzianova, A., Hoogi, A., Rubin, D. L., & Erickson, B. J. (2017) · Journal of Digital Imaging

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 1,129

Clinical and radiographic spectrum of pathologically confirmed tumefactive multiple sclerosis

Lucchinetti, C. F., Gavrilova, R. H., Metz, I., Parisi, J. E., Scheithauer, B. W., Weigand, S., Thomsen, K., Mandrekar, J., Altintas, A., Erickson, B. J., et al. (2008) · Brain

Multiple Sclerosis Research StudiesPolyomavirus and related diseases

Cited by 493

The Effects of Changes in Utilization and Technological Advancements of Cross-Sectional Imaging on Radiologist Workload

McDonald, R. J., Schwartz, K. M., Eckel, L. J., Diehn, F. E., Hunt, C. H., Bartholmai, B. J., Erickson, B. J., & Kallmes, D. F. (2015) · Academic Radiology

Radiology practices and educationRadiation Dose and Imaging

Cited by 460

A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

Langlotz, C. P., Allen, B., Erickson, B. J., Kalpathy-Cramer, J., Bigelow, K., Cook, T. S., Flanders, A. E., Lungren, M. P., Mendelson, D. S., Rudie, J. D., et al. (2019) · Radiology

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 368

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

Mitigating Bias in Radiology Machine Learning: 1. Data Handling

Rouzrokh, P., Khosravi, B., Faghani, S., Moassefi, M., Vera Garcia, D. V., Singh, Y., Zhang, K., Conte, G. M., & Erickson, B. J. (2022) · Radiology: Artificial Intelligence

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 145

MedYOLO: A Medical Image Object Detection Framework

Sobek, J., Medina Inojosa, J. R., Medina Inojosa, B. J., Rassoulinejad-Mousavi, S. M., Conte, G. M., Lopez-Jimenez, F., & Erickson, B. J. (2024) · Journal of Imaging Informatics in Medicine

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 61

Pituitary Stalk Interruption Syndrome in Chinese People: Clinical Characteristic Analysis of 55 Cases

Guo, Q., Yang, Y., Mu, Y., Lu, J., Pan, C., Dou, J., Lv, Z., Ba, J., Wang, B., Zou, X., et al. (2013) · PLoS ONE

Pituitary Gland Disorders and TreatmentsHypothalamic control of reproductive hormones

Cited by 57

FDA Review of Radiologic AI Algorithms: Process and Challenges

Zhang, K., Khosravi, B., Vahdati, S., & Erickson, B. J. (2024) · Radiology

Artificial Intelligence in Healthcare and EducationHealthcare Regulation

Cited by 46

Agentic AI and large language models in radiology: opportunities and hallucination challenges

Salehi, S., Singh, Y., Horst, K. K., Hathaway, Q. A., & Erickson, B. J. (2025) · Bioengineering

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 32

Beyond single systems: how multi-agent ai is reshaping ethics in radiology

Salehi, S., Singh, Y., Habibi, P., & Erickson, B. J. (2025) · Bioengineering

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 21

Deep learning-based uncertainty quantification for quality assurance in hepatobiliary imaging-based techniques

Singh, Y., Andersen, J. B., Hathaway, Q., Venkatesh, S. K., Gores, G. J., & Erickson, B. (2025) · Oncotarget

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 8