Publications

Automated Detection of COVID-19
from CT Scans Using Convolutional
Neural Networks

COVID-19 is an infectious disease that causes respiratory
problems similar to those caused by SARS-CoV (2003).

Survey of Personalization Techniques for Federated Learning

Federated learning enables machine learning models
to learn from private decentralized data without
compromising privacy.

Automatic Grading of Knee Osteoarthritis on the Kellgren-Lawrence Scale from Radiographs 

The severity of knee osteoarthritis is graded using the 5-point Kellgren-Lawrence (KL) scale where healthy knees are assigned grade 0, and the subsequent grades 1-4 represent increasing severity of the affliction. 

Role of Edge Device and Cloud Machine Learning in Point-of-Care Solutions
Using Imaging Diagnostics 

Edge devices are revolutionizing diagnostics. Edge devices
can reside within or adjacent to imaging tools such as digital
Xray, CT, MRI, or ultrasound equipment.

Quantum Computing Methods for
Supervised Learning

The last two decades have seen explosive growth in the
theory and practice of both quantum computing and
machine learning.

Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare

In this paper, we compare three privacy-preserving distributed learning techniques: federated learning, split learning, and SplitFed.

Automated chest radiograph diagnosis: A Twofer for Tuberculosis and Covid-19

TB is a pandemic which has challenged mankind for ages
and Covid 19 is a recent onset fast-spreading pandemic.

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DeepTek’s mission is to make quality radiology services more affordable and accessible by leveraging the power of AI.

It is amongst very few Radiology AI companies which have successfully adopted its technology in a commercial mode – creating clear and quantifiable value for patients, hospitals, and radiologists. Currently, it is servicing over 50 hospitals and imaging centers and helping governments (India and APAC region) in their Tuberculosis, COVID 19, and other public health screening programs.

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