Review on Deep Learning Methods Used for Computer-aided Lung Cancer Detection and Diagnosis. - Firdaous Essaf; Yujian Li; Seybou Sakho; Mesmin J. Mbyamm Kiki (ACAI, 2019)

Blockchain: Perspectives and issues. - Seybou Sakho; Zhang Jianbiao; Firdaous Essaf; Mesmin J. Mbyamm Kiki (J. Intell. Fuzzy Syst., 2019)

Improved Convolutional Neural Network for Lung Cancer Detection. - Firdaous Essaf; Yujian Li; Seybou Sakho; Pius Kwao Gadosey (CNIOT, 2020)

An Improved Lung Parenchyma Segmentation Using the Maximum Inter-Class Variance Method (OTSU). - Firdaous Essaf; Yujian Li; Seybou Sakho; Pius Kwao Gadosey; Ting Zhang 012 (ICCAI, 2020)

SEB-Net: Revisiting Deep Encoder-Decoder Networks for Scene Understanding. - Pius Kwao Gadosey; Yujian Li; Ting Zhang 012; Zhaoying Liu; Edna Chebet Too; Firdaous Essaf (ICCAI, 2020)

Performance analysis of nonlinear activation function in convolution neural network for image classification. - Edna Chebet Too; Li Yujian; Pius Kwao Gadosey; Sam Njuki; Firdaous Essaf (Int. J. Comput. Sci. Eng., 2020)

A soma-synapses neuron model and FPGA implementation. - Zongxia Wang; Naigong Yu; Firdaous Essaf (Concurr. Comput. Pract. Exp., 2023)

3D reconstruction and defect pattern recognition of bonding wire based on stereo vision. - Naigong Yu; Hongzheng Li; Qiao Xu; Sié Ouattara; Firdaous Essaf (CAAI Trans. Intell. Technol., 2024)