Vimbi Viswan

According to our database, Vimbi Viswan authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Multimodal fusion and explainability of artificial intelligence models in Alzheimer's Disease detection.

Vimbi Viswan, Noushath Shaffi, Malathy Emperuman, Chemmalar Selvi G., B. R. Kavitha, Abdelhamid Abdesselam, Shuqiang Wang, Ponnuthurai N. Suganthan, Ibrahim Al Shezawi, Mufti Mahmud

Brain Informatics, December, 2026

MoRE-XAI: Moment-Based Rigid Registration and Multi-Perspective Explainability for Fracture Localization in X-Ray Imaging.

C. V. Aravinda, Noushath Shaffi, Vimbi Viswan, Smitha Sunil Kumaran Nair, Mohamed Samiulla Khan, B. C. Arjun

IEEE Access, 2026

2025

Application of Explainable Artificial Intelligence in Autism Spectrum Disorder Detection.

Vimbi Viswan, Noushath Shaffi, Mohamed A. K. Sadiq, Srinivasa Rao Sirasanagandla, V. N. Manjunath Aradhya, M. Shamim Kaiser, Shuqiang Wang, Mufti Mahmud

Cogn. Comput., June, 2025

Preventive Healthcare Through Privacy-Preserving, Explainable and Inclusive Artificial Intelligence.

Mufti Mahmud, David J. Brown, Yuan Shen, Muhammad Arifur Rahman, Jun He, M. Shamim Kaiser, Hamzah Luqman, Sajib Mistry, Noushath Shaffi, Vimbi Viswan, M. Mostafizur Rahman, Shamim Al Mamun, Tamanna Sharmeen, Rasha Alahmad, V. N. Manjunath Aradhya, Mohammad Farukh Hashmi, Shuqiang Wang, Cosimo Ieracitano, Nadia Mammone, Maryam Doborjeh, Kanad Ray

Proceedings of the HCI International 2025 - Late Breaking Papers, 2025

2024

Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer's disease detection.

Vimbi Viswan, Noushath Shaffi, Mufti Mahmud

Brain Informatics, December, 2024

Ensemble of vision transformer architectures for efficient Alzheimer's Disease classification.

Noushath Shaffi, Vimbi Viswan, Mufti Mahmud

Brain Informatics, December, 2024

Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer's Disease.

Noushath Shaffi, Karthikeyan Subramanian, Vimbi Viswan, Faizal Hajamohideen, Abdelhamid Abdesselam, Mufti Mahmud

Int. J. Neural Syst., July, 2024

Explainable Artificial Intelligence in Alzheimer's Disease Classification: A Systematic Review.

Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, Karthikeyan Subramanian, Faizal Hajamohideen

Cogn. Comput., January, 2024

VisTAD: A Vision Transformer Pipeline for the Classification of Alzheimer's Disease.

Noushath Shaffi, Vimbi Viswan, Mufti Mahmud

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Four-way classification of Alzheimer's disease using deep Siamese convolutional neural network with triplet-loss function.

Faizal Hajamohideen, Noushath Shaffi, Mufti Mahmud, Karthikeyan Subramanian, Arwa Al Sariri, Vimbi Viswan, Abdelhamid Abdesselam

Brain Informatics, December, 2023

Multi-Planar MRI-Based Classification of Alzheimer's Disease Using Tree-Based Machine Learning Algorithms.

Noushath Shaffi, Vimbi Viswan, Mufti Mahmud, Faizal Hajamohideen, Karthikeyan Subramanian

Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

A Comparative Study of Pretrained Deep Neural Networks for Classifying Alzheimer's and Parkinson's Disease.

Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, Karthikeyan Subramanian, Faizal Hajamohideen

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Towards Automated Classification of Parkinson's Disease: Comparison of Machine Learning Methods using MRI and Acoustic Data.

Noushath Shaffi, Vimbi Viswan, Mufti Mahmud, Faizal Hajamohideen, Karthikeyan Subramanian

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Bagging the Best: A Hybrid SVM-KNN Ensemble for Accurate and Early Detection of Alzheimer's and Parkinson's Diseases.

Noushath Shaffi, Vimbi Viswan, Mufti Mahmud, Karthikeyan Subramanian, Faizal Hajamohideen

Proceedings of the Brain Informatics - 16th International Conference, 2023