Learning to Classify Skin Lesions via Self-Training and Self-Paced Learning. - Sarpong Kwadwo Asare; Fei You; Obed Tettey Nartey (BIBM, 2020)

Semi-Supervised Learning for Fine-Grained Classification With Self-Training. - Obed Tettey Nartey; Guowu Yang; Jinzhao Wu; Sarpong Kwadwo Asare (IEEE Access, 2020)

A Semisupervised Learning Scheme with Self-Paced Learning for Classifying Breast Cancer Histopathological Images. - Sarpong Kwadwo Asare; Fei You; Obed Tettey Nartey (Comput. Intell. Neurosci., 2020)

Robust Semi-Supervised Traffic Sign Recognition via Self-Training and Weakly-Supervised Learning. - Obed Tettey Nartey; Guowu Yang; Sarpong Kwadwo Asare; Jinzhao Wu; Lady Nadia Frempong (Sensors, 2020)

Adaptive Curriculum Learning for Semi-supervised Segmentation of 3D CT-Scans. - Obed Tettey Nartey; Guowu Yang; Dorothy Araba Yakoba Agyapong; Jinzhao Wu; Asare K. Sarpong; Lady Nadia Frempong (ICONIP (1), 2021)

LeFUNet: UNet with Learnable Feature Connections for Teeth Identification and Segmentation in Dental Panoramic X-ray Images. - Yunbo Rao; Obed Tettey Nartey; Shaoning Zeng; Kingsley Nketiah Acheampong; Charles Roland Haruna; Jianxun Sun (BIBM, 2022)

PiCovS: Pixel-Level With Covariance Pooling Feature and Superpixel-Level Feature Fusion for Hyperspectral Image Classification. - Obed Tettey Nartey; Kwabena Sarpong; Daniel Addo; Yunbo Rao; Zhiguang Qin (IEEE Trans. Geosci. Remote. Sens., 2023)

Relevance gradient descent for parameter optimization of image enhancement. - Yunbo Rao; Yuling Yi; Obed Tettey Nartey; Saeed Ullah Jan (Comput. Graph., 2023)