203 citations · 395 across the 16 of their papers we have counts for
22 papers
Direct Estimation of Pupil Parameters Using Deep Learning for Visible Light Pupillometry
Abhijeet Phatak, Aditya Chandra Mandal, Janarthanam Jothi Balaji +1
Pupil reflex to variations in illumination and associated dynamics are of importance in neurology and ophthalmology. This is typically measured using a near Infrared (IR) pupillome…
FAZSeg: A New User-Friendly Software for Quantification of the Foveal Avascular Zone
V. K. Viekash, Janarthanam Jothi Balaji, Vasudevan Lakshminarayanan
Various ocular diseases and high myopia influence the anatomical reference point Foveal Avascular Zone (FAZ) dimensions. Therefore, it is important to segment and quantify the FAZs…
Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey
Vasudevan Lakshminarayanan, Hoda Kherdfallah, Arya Sarkar +1
Diabetic Retinopathy (DR) is a leading cause of vision loss in the world,. In the past few Diabetic Retinopathy (DR) is a leading cause of vision loss in the world. In the past few…
Rapid Classification of Glaucomatous Fundus Images
Hardit Singh, Simarjeet Saini, Vasudevan Lakshminarayanan
We propose a new method for training convolutional neural networks which integrates reinforcement learning along with supervised learning and use ti for transfer learning for class…
Uncertainty aware and explainable diagnosis of retinal disease
Amitojdeep Singh, Sourya Sengupta, Mohammed Abdul Rasheed +2
Deep learning methods for ophthalmic diagnosis have shown considerable success in tasks like segmentation and classification. However, their widespread application is limited due t…
DenseNet for Breast Tumor Classification in Mammographic Images
Yuliana Jiménez Gaona, María José Rodriguez-Alvarez, Hector Espinó Morató +2
Breast cancer is the most common invasive cancer in women, and the second main cause of death. Breast cancer screening is an efficient method to detect indeterminate breast lesions…