1 citations · 4 across the 6 of their papers we have counts for
6 papers
DensiThAI, A Multi-View Deep Learning Framework for Breast Density Estimation using Infrared Images
Siva Teja Kakileti, Geetha Manjunath
Breast tissue density is a key biomarker of breast cancer risk and a major factor affecting mammographic sensitivity. However, density assessment currently relies almost exclusivel…
A Density-Informed Multimodal Artificial Intelligence Framework for Improving Breast Cancer Detection Across All Breast Densities
Siva Teja Kakileti, Bharath Govindaraju, Sudhakar Sampangi +1
Mammography, the current standard for breast cancer screening, has reduced sensitivity in women with dense breast tissue, contributing to missed or delayed diagnoses. Thermalytix,…
Automated Thermal Screening for COVID-19 using Machine Learning
Pratik Katte, Siva Teja Kakileti, Himanshu J. Madhu +1
In the last two years, millions of lives have been lost due to COVID-19. Despite the vaccination programmes for a year, hospitalization rates and deaths are still high due to the n…
Evaluation of Non-Invasive Thermal Imaging for detection of Viability of Onchocerciasis worms
Ronak Dedhiya, Siva Teja Kakileti, Goutham Deepu +4
Onchocerciasis is causing blindness in over half a million people in the world today. Drug development for the disease is crippled as there is no way of measuring effectiveness of…
Designing a Human-Machine Hybrid Computing System for Unstructured Data Analytics
Koushik Sinha, Geetha Manjunath, Bidyut Gupta +1
Current machine algorithms for analysis of unstructured data typically show low accuracies due to the need for human-like intelligence. Conversely, though humans are much better th…
Combining Heterogeneous Classifiers for Relational Databases
Geetha Manjunatha, M Narasimha Murty, Dinkar Sitaram
Most enterprise data is distributed in multiple relational databases with expert-designed schema. Using traditional single-table machine learning techniques over such data not only…