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20192022
most citedEarly Detection of Retinopathy of Prematurity stage using Deep Learning approach

47 citations · 61 across the 14 of their papers we have counts for

collaborators

20 papers

eess.IV2022

A Study of Representational Properties of Unsupervised Anomaly Detection in Brain MRI

Ayantika Das, Arun Palla, Keerthi Ram +1

Anomaly detection in MRI is of high clinical value in imaging and diagnosis. Unsupervised methods for anomaly detection provide interesting formulations based on reconstruction or…

eess.SP20221 cited

EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge Distillation

Vaibhav Joshi, Sricharan V, Preejith SP +1

An electroencephalogram (EEG) signal is currently accepted as a standard for automatic sleep staging. Lately, Near-human accuracy in automated sleep staging has been achievable by…

eess.IV2022

MIST GAN: Modality Imputation Using Style Transfer for MRI

Jaya Chandra Raju, Kompella Subha Gayatri, Keerthi Ram +3

MRI entails a great amount of cost, time and effort for the generation of all the modalities that are recommended for efficient diagnosis and treatment planning. Recent advancement…

eess.IV202147 cited

Early Detection of Retinopathy of Prematurity stage using Deep Learning approach

Supriti Mulay, Keerthi Ram, Mohanasankar Sivaprakasam +1

Retinopathy of Prematurity (ROP) is a fibrovascular proliferative disorder, which affects the developing peripheral retinal vasculature of premature infants. Early detection of ROP…

eess.IV2021

Style Transfer based Coronary Artery Segmentation in X-ray Angiogram

Supriti Mulay, Keerthi Ram, Balamurali Murugesan +1

X-ray coronary angiography (XCA) is a principal approach employed for identifying coronary disorders. Deep learning-based networks have recently shown tremendous promise in the dia…

eess.IV2021

Reference-based Texture transfer for Single Image Super-resolution of Magnetic Resonance images

Madhu Mithra K K, Sriprabha Ramanarayanan, Keerthi Ram +1

Magnetic Resonance Imaging (MRI) is a valuable clinical diagnostic modality for spine pathologies with excellent characterization for infection, tumor, degenerations, fractures and…