Aly A. Mohamed

According to our database1, Aly A. Mohamed authored at least 9 papers between 2018 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance.
IEEE J. Biomed. Health Informatics, 2020

Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study.
J. Digit. Imaging, 2020

Multi-site Evaluation of a Study-Level Classifier for Mammography Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Automated deep-learning method for whole-breast segmentation in diffusion-weighted breast MRI.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Deep learning for identifying breast cancer malignancy and false recalls: a robustness study on training strategy.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

2018
Can we boost the power of the Viola-Jones face detector using preprocessing? An empirical study.
J. Electronic Imaging, 2018

Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective.
J. Digit. Imaging, 2018

Do pre-trained deep learning models improve computer-aided classification of digital mammograms?
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018


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