Deep learning COVID-19 detection bias: accuracy through artificial intelligence

por Vaid, Shashank, Kalantar, Reza, Bhandari, Mohit
Publicado 2020

Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging

por Kalantar, Reza, Curcean, Sebastian, Winfield, Jessica M., Lin, Gigin, Messiou, Christina, Blackledge, Matthew D., Koh, Dow-Mu
Publicado 2023

Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges

por Kalantar, Reza, Lin, Gigin, Winfield, Jessica M., Messiou, Christina, Lalondrelle, Susan, Blackledge, Matthew D., Koh, Dow-Mu
Publicado 2021

CT-Based Pelvic T(1)-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN)

por Kalantar, Reza, Messiou, Christina, Winfield, Jessica M., Renn, Alexandra, Latifoltojar, Arash, Downey, Kate, Sohaib, Aslam, Lalondrelle, Susan, Koh, Dow-Mu, Blackledge, Matthew D.
Publicado 2021

Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19

por Kalantar, Reza, Hindocha, Sumeet, Hunter, Benjamin, Sharma, Bhupinder, Khan, Nasir, Koh, Dow-Mu, Ahmed, Merina, Aboagye, Eric O., Lee, Richard W., Blackledge, Matthew D.
Publicado 2023