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Sujatha Narayanan unni

Professor

Indian Institute of Technology Madras

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Professors in Medical Imaging

Articles (16)

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2026

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2026

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2026

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2025

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2024

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2024

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2024

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2024

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2024

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2023

Collaborators (1)

Vignesh Muthuvijayan

Professor

Indian Institute of Technology Madras

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Sujatha Narayanan unni

Research Interests

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Articles (16)

Real-Time Data-Driven Localization System for Magnetic Endocapsule Devices

Design and development of dynamic electromagnetic system for actuation of magnetic endocapsule devices

Transparent non-destructive estimation of moisture content in vegetables using hyperspectral imaging, multi-target regression pipeline approach and explainable AI

Smart MDD—A portable optical device for rapid, automated, and ultra-sensitive detection of malathion in liquid samples

Differentiation of Bacterial Species in Liquid Culture Using Laser Speckle Contrast Imaging

Laser polarization induced surface structuring of 316L stainless steel and influence on biocompatibility and antibacterial performance

Synthesis and characterization of TiO2–ZnO composite thin films for biomedical applications

Deep learning-assisted identification and localization of ductal carcinoma from bulk tissue in-silico models generated through polarized Monte Carlo simulations

Multi-layered silicone-based breast tissue phantom for multi-modal optical spectroscopy

Design and development of a low-cost hyperspectral imaging setup via a machine-learningbased approach

Multi-objective design optimization of electromagnetic coil for effective actuation of magnetic endocapsule devices

Spatio-temporal feature analysis of laser speckle images for simultaneous quantification of skin thickness and perfusion demonstrated using in-vitro scleroderma phantoms

Approach to fiber-based optical polarimetry for tissue assessment: system calibration and application

Skin microcirculatory responses: A potential marker for early diabetic neuropathy assessment using a low‐cost portable diffuse optical spectrometry device

Characterizing colon cancer stages through optical polarimetry-assisted digital staining

Machine learning integrated laser speckle image analysis for the simultaneous extraction of flow and scatterer concentration from capillary phantoms

Collaborators (1)

Vignesh Muthuvijayan

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