R. Kalantar

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

D. Koh, M. Blackledge, J. Winfield, 2021, Diagnostics.

CT-Based Pelvic T1-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN)

D. Koh, A. Sohaib, M. Blackledge, 2021, Frontiers in Oncology.

Monetary Disequilibrium, Black Market Exchange Rate, and the Balance of Payments (The Case of Iran)

R. Kalantar, 1983 .

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

Mohit Bhandari, Shashank Vaid, M. Bhandari, 2020, International Orthopaedics.

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

D. Koh, M. Blackledge, J. Winfield, 2023, ArXiv.

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

D. Koh, E. Aboagye, M. Blackledge, 2023, Scientific reports.