Maryam Haghighat

Automated quality assessment of large digitised histology cohorts by artificial intelligence

K. Sirinukunwattana, F. Hamdy, E. Rakha, 2022, Scientific Reports.

PathProfiler: Automated Quality Assessment of Retrospective Histopathology Whole-Slide Image Cohorts by Artificial Intelligence, A Case Study for Prostate Cancer Research

K. Sirinukunwattana, E. Rakha, J. Rittscher, 2021, medRxiv.

A pilot study on automatic 3D quantification of Barrett's esophagus for risk stratification and therapy monitoring.

J. Rittscher, B. Braden, S. Leedham, 2021, Gastroenterology.

Artificial intelligence for advance requesting of immunohistochemistry in diagnostically uncertain prostate biopsies

K. Sirinukunwattana, A. Monks, E. Rakha, 2021, Modern Pathology.

Artificial intelligence-driven real-time 3D surface quantification of Barrett's oesophagus for risk stratification and therapeutic response monitoring

J. Rittscher, S. Ali, A. Bailey, 2020, medRxiv.

Cooperative spectrum sensing for cognitive radio networks in the presence of smart malicious users

Seyed Mohammad Sajad Sadough, Maryam Haghighat, S. Sadough, 2014 .

Smart primary user emulation in cognitive radio networks: defence strategies against radio‐aware attacks and robust spectrum sensing

Maryam Haghighat, Sajad Sadough, S. Sadough, 2015, Trans. Emerg. Telecommun. Technol..