Abdul Joseph Fofanah

According to our database, Abdul Joseph Fofanah authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Neuromorphic Graph Anomaly Detection via Adaptive STDP and Spiking Graph Neural Networks.

Abdul Joseph Fofanah, Lian Wen, David Chen, Tsungcheng Yao, Kwabena Sarpong

CoRR, May, 2026

FAMAFuse: Functional-Anatomical Multiscale Attention for Multimodal Image Fusion.

Alpha Alimamy Kamara, Shiwen He, Abdul Joseph Fofanah

IEEE Trans. Circuits Syst. Video Technol., March, 2026

GRAFNet: Multiscale Retinal Processing via Guided Cortical Attention Feedback for Enhancing Medical Image Polyp Segmentation.

Abdul Joseph Fofanah, Lian Wen, Alpha Alimamy Kamara, Zhongyi Zhang, David Chen, Albert Patrick Sankoh

CoRR, February, 2026

CAST-CKT: Chaos-Aware Spatio-Temporal and Cross-City Knowledge Transfer for Traffic Flow Prediction.

Abdul Joseph Fofanah, Lian Wen, David Chen, Alpha Alimamy Kamara, Zhongyi Zhang

CoRR, February, 2026

Enhancing Imbalanced Node Classification via Curriculum-Guided Feature Learning and Three-Stage Attention Network.

Abdul Joseph Fofanah, Lian Wen, David Chen, Shaoyang Zhang

CoRR, February, 2026

PIMCST: Physics-Informed Multi-Phase Consensus and Spatio-Temporal Few-Shot Learning for Traffic Flow Forecasting.

Abdul Joseph Fofanah, Lian Wen, David Chen

CoRR, February, 2026

PIMPC-GNN: Physics-Informed Multi-Phase Consensus Learning for Enhancing Imbalanced Node Classification in Graph Neural Networks.

Abdul Joseph Fofanah, Lian Wen, David Chen

CoRR, February, 2026

2025

MDPNet: Multiscale Dynamic Polyp-Focus Network for Enhancing Medical Image Polyp Segmentation.

Alpha Alimamy Kamara, Shiwen He, Abdul Joseph Fofanah, Rong Xu, Yuehan Chen

IEEE Trans. Medical Imaging, December, 2025

nnSAM2: nnUNet-Enhanced One-Prompt SAM2 for Few-shot Multi-Modality Segmentation and Composition Analysis of Lumbar Paraspinal Muscles.

Zhongyi Zhang, Julie A. Hides, Enrico De Martino, Abdul Joseph Fofanah, Gervase Tuxworth

CoRR, October, 2025

EATSA-GNN: Edge-Aware and Two-Stage attention for enhancing graph neural networks based on teacher-student mechanisms for graph node classification.

Abdul Joseph Fofanah, Alpha Omar Leigh

Neurocomputing, 2025

CHAMFormer: Dual heterogeneous three-stages coupling and multivariate feature-aware learning network for traffic flow forecasting.

Abdul Joseph Fofanah, David Chen, Lian Wen, Shaoyang Zhang

Expert Syst. Appl., 2025

WaveFSL: Wave Interference-Based Meta-learning for Few-Shot Cross-Modality Traffic Forecasting.

Abdul Joseph Fofanah, Lian Wen, David Chen, Shaoyang Zhang, Alpha Alimamy Kamara

Proceedings of the Data Science and Machine Learning, 2025

2024

Addressing imbalance in graph datasets: Introducing GATE-GNN with graph ensemble weight attention and transfer learning for enhanced node classification.

Abdul Joseph Fofanah, David Chen, Lian Wen, Shaoyang Zhang

Expert Syst. Appl., 2024

2023

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.

Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie, Andrea Lara, Antonio R. Porras, An-Wen Chan, Arcadi Navarro, Ben Glocker, Benard Ohene Botwe, Bishesh Khanal, Brigit Beger, Carol C. Wu, Celia Cintas, Curtis P. Langlotz, Daniel Rueckert, Deogratias Mzurikwao, Dimitrios I. Fotiadis, Doszhan Zhussupov, Enzo Ferrante, Erik Meijering, Eva Weicken, Fabio A. González, Folkert W. Asselbergs, Fred W. Prior, Gabriel P. Krestin, Gary S. Collins, Geletaw Sahle Tegenaw, Georgios Kaissis, Gianluca Misuraca, Gianna Tsakou, Girish Dwivedi, Haridimos Kondylakis, Harsha Jayakody, Henry C. Woodruff, Hugo J. W. L. Aerts, Ian Walsh, Ioanna Chouvarda, Irène Buvat, Islem Rekik, James S. Duncan, Jayashree Kalpathy-Cramer, Jihad Zahir, Jinah Park, John Mongan, Judy W. Gichoya, Julia A. Schnabel, et al.

CoRR, 2023

2022

Medical images lossless recovery based on POB number system and image compression.

Qingdan Li, Yao Fu, Zehui Zhang, Abdul Joseph Fofanah, Tiegang Gao

Multim. Tools Appl., 2022

2020

Dual Watermarking for Protection of Medical Images based on Watermarking of Frequency Domain and Genetic Programming.

Abdul Joseph Fofanah, Tiegang Gao

Proceedings of the ICIAI 2020: The 4th International Conference on Innovation in Artificial Intelligence, 2020