Journal Articles:

• Adjei, P.E., Lonseko, Z.M., Du, W. et al. Examining the effect of synthetic data augmentation in polyp detection and segmentation. Int J CARS (2022). https://doi.org/10.1007/s11548-022-02651-x
  
  
• Prince E Adjei, Henry Nunoo-Mensah, Richard Amedzrovi Agbesi, Joyce Raissa Yaho Ndjanzoue “Brain Tumor segmentation using SLIC superpixels and Optimized thresholding algorithm, “International Journal of Computer Applications” 181(20):1- 5, October 2018. https://doi.org/10.5120/ijca2018917915 
  
  
• Z.M Lonseko, Adjei P.E, Wu. D. et al., "Gastrointestinal Disease Classification in Endoscopic Images Using Attention-Guided Convolutional Neural Networks," Applied Sciences 11(23) 11136, Nov 2021 https://doi.org/10.3390/app112311136

Conferences:

• Prince E Adjei, Henry Nunoo-Mensah, Emmanuel Kobia-Acquah, Emmanuel Kofi Akowuah, “Optic cup and Optic Disc Analysis for Glaucoma screening using Pulse- Coupled Neural Networks and Line profile analysis,” in Middle East Conference on Biomedical Engineering (MECBME), Tunis, 2018. 
  https://doi.org/10.1109/ MECBME.2018.8402434  
  
  
• Adjei PE, Z. M. Lonseko and N. Rao, "GAN-Based Synthetic Gastrointestinal Image Generation," 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2020, pp. 338-342, https://doi.org/10.1109/ICCWAMTIP51612.2020.9317341 
   
• Z. M. Lonseko, P.E. Adjei, Wenju D., et al., "Semi-supervised Gastrointestinal Lesion Segmentation using Adversarial Learning," 2021 IEEE 3rd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS), 2021, pp. 63-66, https://doi.org/10.1109/ECBIOS51820.2021.9510611