M. Wasil Wahi-Anwar

According to our database, M. Wasil Wahi-Anwar authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Implementing Trustworthy AI in Real-world Medical Imaging using the SimpleMind Software Environment.

Matthew S. Brown, M. Wasil Wahi-Anwar, Youngwon Choi, Morgan Daly, Liza Shrestha, Koon-Pong Wong, Jonathan G. Goldin, Dieter R. Enzmann

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Using a GAN for CT contrast enhancement to improve CNN kidney segmentation accuracy.

Spencer Welland, Gabriel Melendez-Corres, Pangyu Teng, Heidi Coy, M. Wasil Wahi-Anwar, Steven S. Raman, Matthew S. Brown

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function.

Siyuan Wei, Youngwon Choi, M. Wasil Wahi-Anwar, Liza Shrestha, Koon-Pong Wong, Matthew S. Brown

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing.

Gabriel Melendez-Corres, Youngwon Choi, M. Wasil Wahi-Anwar, Heidi Coy, Steven S. Raman, Matthew S. Brown

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

SimpleMind adds thinking to deep neural networks.

Youngwon Choi, M. Wasil Wahi-Anwar, Matthew S. Brown

CoRR, 2022

2018

Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort.

M. Wasil Wahi-Anwar, Nastaran Emaminejad, John M. Hoffman, Grace H. Kim, Matthew S. Brown, Michael F. McNitt-Gray

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018