Perfecting Short-term Stock Predictions with Multi-Attention Networks in Noise-free Settings. - Kwabena Sarpong; Bei Hui; Xue Zhou; Rutherford Agbeshi Patamia; Edwin Kwadwo Tenagyei (CONF-CDS, 2021)

Classification from Sky: A Robust Remote Sensing Time Series Image Classification Using Spatial Encoder and Multi-Fast Channel Attention. - Kwabena Sarpong; Jehoiada Kofi Jackson; Derrick Effah; Daniel Addo; Sophyani Banaamwini Yussif; Mohammad Awrangjeb; Rutherford Agbeshi Patamia; Juliana Mantebea Danso; Zhiguang Qin (J. King Saud Univ. Comput. Inf. Sci., 2022)

Multimodal Speech Emotion Recognition Using Modality-Specific Self-Supervised Frameworks. - Rutherford Agbeshi Patamia; Paulo E. Santos; Kingsley Nketia Acheampong; Favour Ekong; Kwabena Sarpong; She Kun 001 (SMC, 2023)

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)

Reseed Skipping of Linear Congruential Generator for Multi-level Image Steganography Security of Financial Data. - Juliana Mantebea Danso; Yaw Marfo Missah; Enoch Opanin Gyamfi; Stephen Dankwa; Kwabena Sarpong (SN Comput. Sci., 2023)

RetVes segmentation: A pseudo-labeling and feature knowledge distillation optimization technique for retinal vessel channel enhancement. - Favour Ekong; Yongbin Yu 001; Rutherford Agbeshi Patamia; Kwabena Sarpong; Chiagoziem Chima Ukwuoma; Akpanika Robert Ukot; Jingye Cai (Comput. Biol. Medicine, 2024)

Hazy to hazy free: A comprehensive survey of multi-image, single-image, and CNN-based algorithms for dehazing. - Jehoiada Kofi Jackson; Kwame Opuni-Boachie Obour Agyekum; Kwabena Sarpong; Chiagoziem Chima Ukwuoma; Rutherford Agbeshi Patamia; Zhiguang Qin (Comput. Sci. Rev., 2024)

Recent methodological advances in federated learning for healthcare. - Fan Zhang; Daniel Kreuter; Yichen Chen; Sören Dittmer; Samuel Tull; Tolou Shadbahr; Martijn Schut; Folkert W. Asselbergs; Sujoy Kar; Suthesh Sivapalaratnam; Sophie Williams; Mickey Koh; et al. (Patterns, 2024)

Hyperspectral image classification using Second-Order Pooling with Graph Residual Unit Network. - Kwabena Sarpong; Zhiguang Qin; Rajab Ssemwogerere; Rutherford Agbeshi Patamia; Asha Mzee Khamis; Enoch Opanin Gyamfi; Favour Ekong; Chiagoziem Chima Ukwuoma (Expert Syst. Appl., 2024)

Pixel-Wise Shuffling with Collaborative Sparsity for Melanoma Hyperspectral Image Classification. - Favour Ekong; Jun Zhou 001; Kwabena Sarpong; Yongsheng Gao 001 (WACV, 2025)

Enhancing histopathological medical image classification for Early cancer diagnosis using deep learning and explainable AI - LIME & SHAP. - Chiagoziem Chima Ukwuoma; Dongsheng Cai; Ebere Eziefuna; Ariyo Oluwasanmi; Sabirin F. Abdi; Gladys Wavinya Muoka; Dara Thomas; Kwabena Sarpong (Biomed. Signal Process. Control., 2025)

Dual spectral-spatial residual adaptive network for hyperspectral image classification in the presence of noisy labels. - Kwabena Sarpong; Mohammad Awrangjeb; Md. Saiful Islam 003 (Eng. Appl. Artif. Intell., 2025)

Self-Correlation Network With Triple Contrastive Learning for Hyperspectral Image Classification With Noisy Labels. - Kwabena Sarpong; Mohammad Awrangjeb; Md. Saiful Islam 003; Islam Helmy (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Masked hybrid attention with Laplacian query fusion and tripartite sequence matching for medical image segmentation. - Favour Ekong; Yongbin Yu 001; Rutherford Agbeshi Patamia; Kwabena Sarpong; Chiagoziem Chima Ukwuoma; Xiangxiang Wang; Akpanika Robert Ukot; Jingye Cai (Neural Comput. Appl., 2025)