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Author

Manu J. Pillai

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Open access Sep 2026

A unified multi-modal latent diffusion framework with modality-dropout training

A unified latent diffusion framework that addresses both limitations simultaneously, indicating that adaptive modality weighting outperforms fixed conditioning strategies and that modality-dropout training provides an effective partial-conditioning robustness mechanism.

S. Remya, Manu J. Pillai, Laveena Herman et al. · 0 citations
Review Open access Aug 2026

Enhancing Cerebral Blood Flow Quantification: A Comprehensive Review of Denoising, Artifact Correction, and Simulation in Arterial Spin Labeling MRI

This review examines conventional image-processing techniques together with modern machine learning and deep learning approaches developed to improve ASL image quality through denoising and enhancement and discusses the major artifacts that affect ASL acquisition.

S. A, Jini Raju, Ansamma John et al. · 0 citations
Open access Jul 2026

Semantic de-identification of burned-in PHI in DICOM medical images: a deep learning–NLP pipeline validated on clinical and phantom TMM datasets

A semantic de-identification pipeline integrating YOLOv11n-based text detection, domain-optimized EasyOCR, and a hybrid natural language processing (NLP) classification module combining regular expressions, keyword matching, and named entity recognition is proposed, confirming that the pipeline preserves quantitative p...

Remya Sethulekshmi, Manu J. Pillai, Nihal Ahammed et al. · 0 citations

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