Mazurowski, Maciej A.

A systematic study of the class imbalance problem in convolutional neural networks

Buda, M., Maki, A., & Mazurowski, M. A. (2018) · Neural Networks

Imbalanced Data Classification TechniquesAdvanced Neural Network Applications

Cited by 3,088

Segment anything model for medical image analysis: An experimental study

Mazurowski, M. A., Dong, H., Gu, H., Yang, J., Konz, N., & Zhang, Y. (2023) · Medical Image Analysis

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 802

Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI

Mazurowski, M. A., Buda, M., Saha, A., & Bashir, M. R. (2019) · Journal of Magnetic Resonance Imaging

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

Cited by 554

Deep learning for segmentation of brain tumors: Impact of cross‐institutional training and testing

AlBadawy, E. A., Saha, A., & Mazurowski, M. A. (2018) · Medical Physics

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 208

Artificial Intelligence May Cause a Significant Disruption to the Radiology Workforce

Mazurowski, M. A. (2019) · Journal of the American College of Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 95

Can texture analysis be used to distinguish benign from malignant adrenal nodules on unenhanced CT, contrast-enhanced CT, or in-phase and opposed-phase MRI?

Ho, L. M., Samei, E., Mazurowski, M. A., Zheng, Y., Allen, B. C., Nelson, R. C., & Marin, D. (2019) · American Journal of Roentgenology

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

Cited by 65

Pilot study of machine learning for detection of placenta accreta spectrum

Zhang, Y., Ellestad, S. C., Gilner, J. B., Pyne, A., Boyd, B. K., Mazurowski, M. A., & Gatta, L. A. (2024) · Ultrasound in Obstetrics & Gynecology

Maternal and fetal healthcareMedical Image Segmentation Techniques

Cited by 3