Author

J. Kanesan

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Review Aug 2026

Deep learning for multimodal brain tumor segmentation: Architectures, fusion, robust learning, and deployment perspectives.

This survey critically reviews deep learning for multimodal brain tumor segmentation from a deployment-oriented, failure-focused perspective and introduces a unifying framework linking input reliability, fusion-architecture co-design, subregion-specific failure mechanisms, and uncertainty-aware clinical triage.

Yi Zhou, J. Kanesan, C. Chow et al. · Computerized Medical Imaging... · 0 citations

Review Open access Jul 2026

AI-driven quadruped robots: from fundamental locomotion to advanced biomimetic behaviors

This review examines AI-driven locomotion, including reinforcement learning, non-RL machine-learning methods, model-based approaches, and hybrid strategies, with attention to robustness, sim-to-real transfer, sensor use, computational requirements, and hardware validation, and summarizes AI-supported advanced behaviors...

Li-Kai Wu, C. Chow, W. Wong et al. · Frontiers in Neurorobotics · 0 citations