Human Face Perception in Degraded Images. - Sanjiv K. Bhatia; Vasudevan Lakshminarayanan; Ashok Samal; Grant V. Welland (J. Vis. Commun. Image Represent., 1995)

Edge image quality assessment: a new formulation for degraded edge imaging. - Maria Luisa Calvo; Ana Manzanares; Margarita Chevalier del Río; Vasudevan Lakshminarayanan (Image Vis. Comput., 1998)

Perception of High-Contrast Blurred Edges. - Ivan Sanz; Maria Luisa Calvo; Margarita Chevalier del Río; Vasudevan Lakshminarayanan (J. Vis. Commun. Image Represent., 2001)

Effect of Vergence Adaptation on Convergence-Accommodation: Model Simulations. - Vidhyapriya Sreenivasan; William R. Bobier; Elizabeth L. Irving; Vasudevan Lakshminarayanan (IEEE Trans. Biomed. Eng., 2009)

Authors Reply. - Vidhyapriya Sreenivasan; William R. Bobier; Elizabeth L. Irving; Vasudevan Lakshminarayanan (IEEE Trans. Biomed. Eng., 2010)

Acceptability ratings for simulated image distortions of static images corresponding to different viewing angles for a flat panel display. - M. Ramamurthy; Jeff Hovis; Vasudevan Lakshminarayanan (CGIV, 2012)

A pre-compensation algorithm for different optical aberrations using an enhanced wiener filter and edge tapering. - Soheil Mohammadpour; Alireza Mehri Dehnavi; Hossein Rabbani; Vasudevan Lakshminarayanan (ISSPA, 2012)

Anatomy of the Eye. - Christine Garhart; Vasudevan Lakshminarayanan (Handbook of Visual Display Technology, 2012)

Light Detection and Sensitivity. - Vasudevan Lakshminarayanan (Handbook of Visual Display Technology, 2012)

Visual Acuity. - Vasudevan Lakshminarayanan (Handbook of Visual Display Technology, 2012)

Flicker Sensitivity. - Vasudevan Lakshminarayanan (Handbook of Visual Display Technology, 2012)

Colour Vision Deficiencies. - Vasudevan Lakshminarayanan (Handbook of Visual Display Technology, 2012)

A new efficient dictionary and its implementation on retinal images. - Damber Thapa; Kaamran Raahemifar; Vasudevan Lakshminarayanan (DSP, 2014)

Performance analysis of unconventional dictionary on retinal images. - Damber Thapa; Kaamran Raahemifar; Vasudevan Lakshminarayanan (ICIP, 2014)

Blood vessels extraction from retinal images using combined 2D Gabor wavelet transform with local entropy thresholding and alternative sequential filter. - Abdullah Biran; Pooya Sobhe Bidari; Ahmed Almazroa; Vasudevan Lakshminarayanan; Kaamran Raahemifar (CCECE, 2016)

A performance comparison among different super-resolution techniques. - Damber Thapa; Kaamran Raahemifar; William R. Bobier; Vasudevan Lakshminarayanan (Comput. Electr. Eng., 2016)

Segmentation and feature extraction of retinal vascular morphology. - Henry A. Leopold; Jeff Orchard; John S. Zelek; Vasudevan Lakshminarayanan (Image Processing, 2017)

An Automatic Image Processing System for Glaucoma Screening. - Ahmed Almazroa; Sami Alodhayb; Kaamran Raahemifar; Vasudevan Lakshminarayanan (Int. J. Biomed. Imaging, 2017)

Comparison of Gaussian filter versus wavelet-based denoising on graph-based segmentation of retinal OCT images. - Priyanka Roy; Mohana Kuppuswamy Parthasarathy; John S. Zelek; Vasudevan Lakshminarayanan (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Ophthalmic Diagnosis and Deep Learning - A Survey. - Sourya Sengupta; Amitojdeep Singh; Henry A. Leopold; Vasudevan Lakshminarayanan (CoRR, 2018)

Physical feasibility of QKD based on probabilistic quantum circuits. - Amor Gueddana; Vasudevan Lakshminarayanan (IET Inf. Secur., 2018)

PixelBNN: Augmenting the PixelCNN with Batch Normalization and the Presentation of a Fast Architecture for Retinal Vessel Segmentation. - Henry A. Leopold; Jeff Orchard; John S. Zelek; Vasudevan Lakshminarayanan (J. Imaging, 2019)

Can a universal quantum cloner be used to design an experimentally feasible near-deterministic CNOT gate? - Amor Gueddana; Peyman Gholami; Vasudevan Lakshminarayanan (Quantum Inf. Process., 2019)

DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-Resolution of Retinal Fundus Images. - Sourya Sengupta; Alexander Wong; Amitojdeep Singh; John S. Zelek; Vasudevan Lakshminarayanan (OMIA@MICCAI, 2020)

What is the Optimal Attribution Method for Explainable Ophthalmic Disease Classification? - Amitojdeep Singh; Sourya Sengupta; J. Jothi Balaji; Mohammed Abdul Rasheed; Ibrahim Faruq; Varadharajan Jayakumar; John S. Zelek; Vasudevan Lakshminarayanan (OMIA@MICCAI, 2020)

FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for fundus image synthesis. - Sourya Sengupta; Akshay Athwale; Tanmay Gulati; John S. Zelek; Vasudevan Lakshminarayanan (Image Processing, 2020)

Ophthalmic diagnosis using deep learning with fundus images - A critical review. - Sourya Sengupta; Amitojdeep Singh; Henry A. Leopold; Tanmay Gulati; Vasudevan Lakshminarayanan (Artif. Intell. Medicine, 2020)

OCTID: Optical coherence tomography image database. - Peyman Gholami; Priyanka Roy; Mohana Kuppuswamy Parthasarathy; Vasudevan Lakshminarayanan (Comput. Electr. Eng., 2020)

Quantitative and Qualitative Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis. - Amitojdeep Singh; J. Jothi Balaji; Varadharajan Jayakumar; Mohammed Abdul Rasheed; Rajiv Raman 003; Vasudevan Lakshminarayanan (CoRR, 2020)

Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review. - Yuliana Jiménez-Gaona; María-José Rodríguez-Alvarez; Vasudevan Lakshminarayanan (CoRR, 2020)

Explainable Deep Learning Models in Medical Image Analysis. - Amitojdeep Singh; Sourya Sengupta; Vasudevan Lakshminarayanan (J. Imaging, 2020)

DenseNet for Breast Tumor Classification in Mammographic Images. - Yuliana Jiménez-Gaona; María-José Rodríguez-Alvarez; Hector Espinó Morató; Darwin Castillo Malla; Vasudevan Lakshminarayanan (BIOMESIP, 2021)

MRI Images, Brain Lesions and Deep Learning. - Darwin Castillo; Vasudevan Lakshminarayanan; María-José Rodríguez-Alvarez (CoRR, 2021)

Uncertainty aware and explainable diagnosis of retinal disease. - Amitojdeep Singh; Sourya Sengupta; Mohammed Abdul Rasheed; Varadharajan Jayakumar; Vasudevan Lakshminarayanan (CoRR, 2021)

Rapid Classification of Glaucomatous Fundus Images. - Hardit Singh; Simarjeet Saini; Vasudevan Lakshminarayanan (CoRR, 2021)

FAZSeg: A New User-Friendly Software for Quantification of the Foveal Avascular Zone. - V. K. Viekash; Janarthanam Jothi Balaji; Vasudevan Lakshminarayanan (CoRR, 2021)

Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey. - Vasudevan Lakshminarayanan; Hoda Kheradfallah; Arya Sarkar; Janarthanam Jothi Balaji (J. Imaging, 2021)

Annotation and segmentation of diabetic retinopathy lesions: an explainable AI application. - Hoda Kheradfallah; Janarthanam Jothi Balaji; Varadharajan Jayakumar; Mohammed Abdul Rasheed; Vasudevan Lakshminarayanan (Computer-Aided Diagnosis, 2022)

Frontiers in Retinal Image Processing. - Vasudevan Lakshminarayanan; P. Jidesh (J. Imaging, 2022)

Double controlled quantum phase gate based on three atoms trapped in separate optical cavities. - Amor Gueddana; Vasudevan Lakshminarayanan (Quantum Inf. Process., 2022)

A Dual-Discriminator Fourier Acquisitive GAN for Generating Retinal Optical Coherence Tomography Images. - Mahnoosh Tajmirriahi; Rahele Kafieh; Zahra Amini; Vasudevan Lakshminarayanan (IEEE Trans. Instrum. Meas., 2022)

OW-SLR: Overlapping Windows on Semi-Local Region for Image Super-Resolution. - Rishav Bhardwaj; Janarthanam Jothi Balaji; Vasudevan Lakshminarayanan (J. Imaging, 2023)

A Deep Reinforcement Learning Framework for Control of Robotic Manipulators in Simulated Environments. - Carlos Calderon-Cordova; Roger Sarango; Darwin Castillo; Vasudevan Lakshminarayanan (IEEE Access, 2024)

Gan-based data augmentation to improve breast ultrasound and mammography mass classification. - Yuliana Jiménez-Gaona; Diana Carrión-Figueroa; Vasudevan Lakshminarayanan; María José Rodríguez-Álvarez (Biomed. Signal Process. Control., 2024)

Ultrasound breast images denoising using generative adversarial networks (GANs). - Yuliana Jiménez-Gaona; María José Rodríguez-Álvarez; Líder Escudero; Carlos Sandoval; Vasudevan Lakshminarayanan (Intell. Data Anal., 2024)

BraNet: a mobil application for breast image classification based on deep learning algorithms. - Yuliana Jiménez-Gaona; María José Rodríguez-Álvarez; Darwin Castillo Malla; Santiago García-Jaen; Diana Carrión-Figueroa; Patricio Corral-Domínguez; Vasudevan Lakshminarayanan (Medical Biol. Eng. Comput., 2024)