Search Results - "Goel, Tripti"

MRI phase image unwrapping using DCT-based modified weighted least square algorithm.

Authors: Verma, Shradha Goel, Tripti

Source: Sādhanā: Academy Proceedings in Engineering Sciences. Jun2026, Vol. 51 Issue 2, p1-11. 11p.

The Association Between Systemic Hypertension and Retinal Vascular Changes.

Authors: Goel, Tripti Goel, Sunil

Source: European Journal of Cardiovascular Medicine. Aug2025, Vol. 15 Issue 8, p153-158. 6p.

Automatic oral cancer detection and classification using modified local texture descriptor and machine learning algorithms.

Authors: Yaduvanshi, Vijaya Murugan, R. Goel, Tripti

Source: Multimedia Tools & Applications; Jan2025, Vol. 84 Issue 2, p1031-1055, 25p

RL-RD-Net: A latent features integration through representation learning for retinal detachment diagnosis with retinographic color fundus images.

Authors: Yadav, Sonal Murugan, R. Sharma, Nishant et al.

Source: Multimedia Tools & Applications; Nov2025, Vol. 84 Issue 39, p47943-47965, 23p

Classification of arrhythmia disease through electrocardiogram signals using sampling vector random forest classifier.

Authors: Reddy, S. Dhanunjay Murugan, R. Nandi, Arnab et al.

Source: Multimedia Tools & Applications; Jul2023, Vol. 82 Issue 17, p26797-26827, 31p

Investigating White Matter Abnormalities Associated with Schizophrenia Using Deep Learning Model and Voxel-Based Morphometry.

Authors: Goel, Tripti Varaprasad, Sirigineedi A. Tanveer, M. et al.

Source: Brain Sciences (2076-3425). Feb2023, Vol. 13 Issue 2, p267. 16p.

Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features.

Authors: Mohan, N Jagan Murugan, R Goel, Tripti et al.

Source: Journal of Digital Imaging; Jun2022, Vol. 35 Issue 3, p496-513, 18p, 11 Color Photographs, 1 Black and White Photograph, 2 Diagrams, 5 Charts, 2 Graphs

Classification of emphysema disease using stacking classifier through computed tomography images.

Authors: Karthik, Ragipati Murugan, R Goel, Tripti

Source: Sādhanā: Academy Proceedings in Engineering Sciences. Mar2026, Vol. 51 Issue 1, p1-19. 19p.

An efficient hybrid DWT-fuzzy filter in DCT domain based illumination normalization for face recognition.

Authors: Vishwakarma, Virendra P. Goel, Tripti

Source: Multimedia Tools & Applications; Jun2019, Vol. 78 Issue 11, p15213-15233, 21p

Exploring the white matter disruptions for Schizophrenia based on convolutional ensemble kernel randomized network.

Authors: Varaprasad, S.A. Goel, Tripti Tanveer, M.

Source: Neural Networks. Jan2026, Vol. 193, pN.PAG-N.PAG. 1p.

Subjects: Schizophrenia, White matter (Nerve tissue), Classification algorithms, Magnetic resonance imaging, Convolutional neural networks, Neurological disorders, Feature extraction, Ridge regression (Statistics)

Deep learning for brain age estimation: A systematic review.

Authors: Tanveer, M. Ganaie, M.A. Beheshti, Iman et al.

Source: Information Fusion; Aug2023, Vol. 96, p130-143, 14p

An Adaptive Non-symmetric Fuzzy Activation Function-Based Extreme Learning Machines for Face Recognition.

Authors: Goel, Tripti Nehra, Vijay Vishwakarma, Virendra

Source: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Feb2017, Vol. 42 Issue 2, p805-816. 12p.

Multimodal Fusion-Based Deep Learning Network for Effective Diagnosis of Alzheimer’s Disease.

Authors: Dwivedi, Shubham Goel, Tripti Tanveer, M. et al.

Source: IEEE MultiMedia. Apr-Jun2022, Vol. 29 Issue 2, p45-55. 11p.

Subjects: Deep learning, Alzheimer's disease, Positron emission tomography, Medical personnel, Feature extraction, Magnetic resonance imaging

Robust U‐Net: Development of robust image enhancement model using modified U‐Net architecture.

Authors: Bhavani, Murapaka Dhanalakshmi Murugan, Raman Goel, Tripti

Source: Concurrency & Computation: Practice & Experience; Dec2022, Vol. 34 Issue 28, p1-17, 17p

OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19.

Authors: Goel, Tripti Murugan, R. Mirjalili, Seyedali et al.

Source: Applied Intelligence. Mar2021, Vol. 51 Issue 3, p1351-1366. 16p.

Subjects: Convolutional neural networks, COVID-19, COVID-19 testing, X-ray imaging, Automatic identification, Diagnosis

Alzheimer's disease diagnosis from MRI and SWI fused image using self adaptive differential evolutionary RVFL classifier.

Authors: Goel, Tripti Verma, Shradha Tanveer, M. et al.

Source: Information Fusion. Jun2025, Vol. 118, pN.PAG-N.PAG. 1p.

Subjects: Alzheimer's disease, Magnetic resonance imaging, Temporal lobe, Diagnosis, Evolutionary algorithms

Exploring the significance of the frontal lobe for diagnosis of schizophrenia using explainable artificial intelligence and group level analysis.

Authors: Varaprasad, S.A. Goel, Tripti

Source: Psychiatry Research: Neuroimaging. Jun2025, Vol. 349, pN.PAG-N.PAG. 1p.

Unveiling Alzheimer's disease through brain age estimation using multi-kernel regression network and magnetic resonance imaging.

Authors: Pilli, Raveendra Goel, Tripti Murugan, R.

Source: Computer Methods & Programs in Biomedicine; Apr2025, Vol. 261, pN.PAG-N.PAG, 1p

A coupled-GAN architecture to fuse MRI and PET image features for multi-stage classification of Alzheimer's disease.

Authors: Choudhury, Chandrajit Goel, Tripti Tanveer, M.

Source: Information Fusion. Sep2024, Vol. 109, pN.PAG-N.PAG. 1p.

Subjects: Alzheimer's disease, Positron emission tomography, Magnetic resonance imaging, Multimodal user interfaces, Feature extraction, Mild cognitive impairment, Neurofibrillary tangles, Data extraction

Optimal hybrid feature selection technique for diabetic retinopathy grading using fundus images.

Authors: Mohan, N Jagan Murugan, R Goel, Tripti et al.

Source: Sādhanā: Academy Proceedings in Engineering Sciences. Sep2023, Vol. 48 Issue 3, p1-15. 15p.