Author

Manu J. Pillai

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Open access Sep 2026

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

Introduction Multi-modal conditioning in latent diffusion models—combining text, structural, and spatial guidance signals—substantially improves controllable image synthesis, yet two limitations persist across most existing frameworks. First, conditioning modalities are fused using fixed architectural weights that rema...

S. Remya, Manu J. Pillai, Laveena Herman et al. · Frontiers in Artificial Inte... · 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

Arterial Spin Labeling (ASL) Magnetic Resonance Imaging (MRI) is a noninvasive imaging technique used to quantify cerebral blood flow (CBF) by using magnetically labeled arterial blood water as an endogenous tracer. Although ASL eliminates the need for exogenous contrast agents, its widespread clinical use is limited b...

S. A, Jini Raju, Ansamma John et al. · Italian National Conference... · 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. · Frontiers of Computer Scienc... · 0 citations