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M. Wasil Wahi-Anwar
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2020 – today
- 2023
- [c5]Gabriel Melendez-Corres, Youngwon Choi, M. Wasil Wahi-Anwar, Heidi Coy, Steven S. Raman, Matthew S. Brown:
Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing. Computer-Aided Diagnosis 2023 - [c4]Siyuan Wei, Youngwon Choi, M. Wasil Wahi-Anwar, Liza Shrestha, Koon-Pong Wong, Matthew S. Brown:
Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function. Computer-Aided Diagnosis 2023 - [c3]Spencer Welland, Gabriel Melendez-Corres, Pangyu Teng, Heidi Coy, M. Wasil Wahi-Anwar, Steven S. Raman, Matthew S. Brown:
Using a GAN for CT contrast enhancement to improve CNN kidney segmentation accuracy. Image Processing 2023 - [c2]Matthew S. Brown, M. Wasil Wahi-Anwar, Youngwon Choi, Morgan Daly, Liza Shrestha, Koon-Pong Wong, Jonathan G. Goldin, Dieter R. Enzmann:
Implementing Trustworthy AI in Real-world Medical Imaging using the SimpleMind Software Environment. NeSy 2023: 195-203 - 2022
- [i1]Youngwon Choi, M. Wasil Wahi-Anwar, Matthew S. Brown:
SimpleMind adds thinking to deep neural networks. CoRR abs/2212.00951 (2022)
2010 – 2019
- 2018
- [c1]M. Wasil Wahi-Anwar, Nastaran Emaminejad, John M. Hoffman, Grace H. Kim, Matthew S. Brown, Michael F. McNitt-Gray:
Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort. Computer-Aided Diagnosis 2018: 105751L
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