Vasudevan Lakshminarayanan

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 37

Top Topics

Tumor Classification

Top Venues

Quantum Inf. Process.

Publications

Yuliana Jiménez-Gaona, María José Rodríguez-Álvarez, Darwin Castillo Malla, Santiago García-Jaen, Diana Carrión-Figueroa, Patricio Corral-Domínguez, Vasudevan Lakshminarayanan
BraNet: a mobil application for breast image classification based on deep learning algorithms. Medical Biol. Eng. Comput. 62 (9) (2024)
Yuliana Jiménez-Gaona, Diana Carrión-Figueroa, Vasudevan Lakshminarayanan, María José Rodríguez-Álvarez
Gan-based data augmentation to improve breast ultrasound and mammography mass classification. Biomed. Signal Process. Control. 94 (2024)
Carlos Calderon-Cordova, Roger Sarango, Darwin Castillo, Vasudevan Lakshminarayanan
A Deep Reinforcement Learning Framework for Control of Robotic Manipulators in Simulated Environments. IEEE Access 12 (2024)
Rishav Bhardwaj, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan
OW-SLR: Overlapping Windows on Semi-Local Region for Image Super-Resolution. J. Imaging 9 (11) (2023)
Rishav Bhardwaj, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan
OW-SLR: Overlapping Windows on Semi-Local Region for Image Super-Resolution. CoRR (2023)
Hoda Kheradfallah, Janarthanam Jothi Balaji, Varadharajan Jayakumar, Mohammed Abdul Rasheed, Vasudevan Lakshminarayanan
Annotation and segmentation of diabetic retinopathy lesions: an explainable AI application. Medical Imaging: Computer-Aided Diagnosis (2022)
Vasudevan Lakshminarayanan, P. Jidesh
Frontiers in Retinal Image Processing. J. Imaging 8 (10) (2022)
Mahnoosh Tajmirriahi, Rahele Kafieh, Zahra Amini, Vasudevan Lakshminarayanan
A Dual-Discriminator Fourier Acquisitive GAN for Generating Retinal Optical Coherence Tomography Images. IEEE Trans. Instrum. Meas. 71 (2022)
Amor Gueddana, Vasudevan Lakshminarayanan
Double controlled quantum phase gate based on three atoms trapped in separate optical cavities. Quantum Inf. Process. 21 (6) (2022)
Vasudevan Lakshminarayanan, Hoda Kheradfallah, Arya Sarkar, Janarthanam Jothi Balaji
Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey. J. Imaging 7 (9) (2021)
Yuliana Jiménez-Gaona, María-José Rodríguez-Alvarez, Hector Espinó Morató, Darwin Castillo Malla, Vasudevan Lakshminarayanan
DenseNet for Breast Tumor Classification in Mammographic Images. BIOMESIP (2021)
V. K. Viekash, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan
FAZSeg: A New User-Friendly Software for Quantification of the Foveal Avascular Zone. CoRR (2021)
Amitojdeep Singh, Sourya Sengupta, Mohammed Abdul Rasheed, Varadharajan Jayakumar, Vasudevan Lakshminarayanan
Uncertainty aware and explainable diagnosis of retinal disease. CoRR (2021)
Yuliana Jiménez-Gaona, María-José Rodríguez-Alvarez, Hector Espinó Morató, Darwin Castillo Malla, Vasudevan Lakshminarayanan
DenseNet for Breast Tumor Classification in Mammographic Images. CoRR (2021)
Darwin Castillo, Vasudevan Lakshminarayanan, María-José Rodríguez-Alvarez
MRI Images, Brain Lesions and Deep Learning. CoRR (2021)
Hardit Singh, Simarjeet Saini, Vasudevan Lakshminarayanan
Rapid Classification of Glaucomatous Fundus Images. CoRR (2021)
Vasudevan Lakshminarayanan, Hoda Kheradfallah, Arya Sarkar, J. Jothi Balaji
Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey. CoRR (2021)
Amitojdeep Singh, J. Jothi Balaji, Varadharajan Jayakumar, Mohammed Abdul Rasheed, Rajiv Raman, Vasudevan Lakshminarayanan
Quantitative and Qualitative Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis. CoRR (2020)
Amitojdeep Singh, Sourya Sengupta, Vasudevan Lakshminarayanan
Explainable deep learning models in medical image analysis. CoRR (2020)
Amitojdeep Singh, Sourya Sengupta, Vasudevan Lakshminarayanan
Explainable Deep Learning Models in Medical Image Analysis. J. Imaging 6 (6) (2020)
Sourya Sengupta, Alexander Wong, Amitojdeep Singh, John S. Zelek, Vasudevan Lakshminarayanan
DeSupGAN: Multi-scale Feature Averaging Generative Adversarial Network for Simultaneous De-blurring and Super-Resolution of Retinal Fundus Images. OMIA@MICCAI (2020)
Peyman Gholami, Priyanka Roy, Mohana Kuppuswamy Parthasarathy, Vasudevan Lakshminarayanan
OCTID: Optical coherence tomography image database. Comput. Electr. Eng. 81 (2020)
Amitojdeep Singh, Sourya Sengupta, J. Jothi Balaji, Mohammed Abdul Rasheed, Ibrahim Faruq, Varadharajan Jayakumar, John S. Zelek, Vasudevan Lakshminarayanan
What is the Optimal Attribution Method for Explainable Ophthalmic Disease Classification? OMIA@MICCAI (2020)
Sourya Sengupta, Amitojdeep Singh, Henry A. Leopold, Tanmay Gulati, Vasudevan Lakshminarayanan
Ophthalmic diagnosis using deep learning with fundus images - A critical review. Artif. Intell. Medicine 102 (2020)
Yuliana Jiménez-Gaona, María-José Rodríguez-Alvarez, Vasudevan Lakshminarayanan
Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review. CoRR (2020)
Sourya Sengupta, Akshay Athwale, Tanmay Gulati, John S. Zelek, Vasudevan Lakshminarayanan
FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for fundus image synthesis. Medical Imaging: Image Processing (2020)
Amor Gueddana, Peyman Gholami, Vasudevan Lakshminarayanan
Can a universal quantum cloner be used to design an experimentally feasible near-deterministic CNOT gate? Quantum Inf. Process. 18 (7) (2019)
Henry A. Leopold, Jeff Orchard, John S. Zelek, Vasudevan Lakshminarayanan
PixelBNN: Augmenting the PixelCNN with Batch Normalization and the Presentation of a Fast Architecture for Retinal Vessel Segmentation. J. Imaging 5 (2) (2019)
Amor Gueddana, Vasudevan Lakshminarayanan
Physical feasibility of QKD based on probabilistic quantum circuits. IET Inf. Secur. 12 (6) (2018)
Peyman Gholami, Priyanka Roy, Mohana Kuppuswamy Parthasarathy, Vasudevan Lakshminarayanan
OCTID: Optical Coherence Tomography Image Database. CoRR (2018)
Priyanka Roy, Mohana Kuppuswamy Parthasarathy, John S. Zelek, Vasudevan Lakshminarayanan
Comparison of Gaussian filter versus wavelet-based denoising on graph-based segmentation of retinal OCT images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
Sourya Sengupta, Amitojdeep Singh, Henry A. Leopold, Vasudevan Lakshminarayanan
Ophthalmic Diagnosis and Deep Learning - A Survey. CoRR (2018)
Henry A. Leopold, Jeff Orchard, John S. Zelek, Vasudevan Lakshminarayanan
PixelBNN: Augmenting the PixelCNN with batch normalization and the presentation of a fast architecture for retinal vessel segmentation. CoRR (2017)
Ahmed Almazroa, Sami Alodhayb, Kaamran Raahemifar, Vasudevan Lakshminarayanan
An Automatic Image Processing System for Glaucoma Screening. Int. J. Biomed. Imaging 2017 (2017)
Henry A. Leopold, Jeff Orchard, John S. Zelek, Vasudevan Lakshminarayanan
Segmentation and feature extraction of retinal vascular morphology. Medical Imaging: Image Processing (2017)
Abdullah Biran, Pooya Sobhe Bidari, Ahmed Almazroa, Vasudevan Lakshminarayanan, Kaamran Raahemifar
Blood vessels extraction from retinal images using combined 2D Gabor wavelet transform with local entropy thresholding and alternative sequential filter. CCECE (2016)
Damber Thapa, Kaamran Raahemifar, William R. Bobier, Vasudevan Lakshminarayanan
A performance comparison among different super-resolution techniques. Comput. Electr. Eng. 54 (2016)
Damber Thapa, Kaamran Raahemifar, Vasudevan Lakshminarayanan
Performance analysis of unconventional dictionary on retinal images. ICIP (2014)
Damber Thapa, Kaamran Raahemifar, Vasudevan Lakshminarayanan
A new efficient dictionary and its implementation on retinal images. DSP (2014)
Soheil Mohammadpour, Alireza Mehri Dehnavi, Hossein Rabbani, Vasudevan Lakshminarayanan
A pre-compensation algorithm for different optical aberrations using an enhanced wiener filter and edge tapering. ISSPA (2012)
M. Ramamurthy, Jeff Hovis, Vasudevan Lakshminarayanan
Acceptability ratings for simulated image distortions of static images corresponding to different viewing angles for a flat panel display. CGIV (2012)
Vidhyapriya Sreenivasan, William R. Bobier, Elizabeth L. Irving, Vasudevan Lakshminarayanan
Authors Reply. IEEE Trans. Biomed. Eng. 57 (11) (2010)
Vidhyapriya Sreenivasan, William R. Bobier, Elizabeth L. Irving, Vasudevan Lakshminarayanan
Effect of Vergence Adaptation on Convergence-Accommodation: Model Simulations. IEEE Trans. Biomed. Eng. 56 (10) (2009)
Ivan Sanz, Maria Luisa Calvo, Margarita Chevalier del Río, Vasudevan Lakshminarayanan
Perception of High-Contrast Blurred Edges. J. Vis. Commun. Image Represent. 12 (3) (2001)
Maria Luisa Calvo, Ana Manzanares, Margarita Chevalier del Río, Vasudevan Lakshminarayanan
Edge image quality assessment: a new formulation for degraded edge imaging. Image Vis. Comput. 16 (14) (1998)
Sanjiv K. Bhatia, Vasudevan Lakshminarayanan, Ashok Samal, Grant V. Welland
Human Face Perception in Degraded Images. J. Vis. Commun. Image Represent. 6 (3) (1995)