no code implementations • 26 Mar 2021 • Harshit Madaan, Manish Gawali, Viraj Kulkarni, Aniruddha Pant
Split learning (SL) is a privacy-preserving distributed deep learning method used to train a collaborative model without the need for sharing of patient's raw data between clients.
no code implementations • 25 Feb 2021 • Jitesh Seth, Rohit Lokwani, Viraj Kulkarni, Aniruddha Pant, Amit Kharat
We investigate the effect of image augmentations on reducing the requirement of labelled data in the semantic segmentation of chest X-rays for pneumonia detection.
no code implementations • 19 Jan 2021 • Abhishek Shivdeo, Rohit Lokwani, Viraj Kulkarni, Amit Kharat, Aniruddha Pant
We also present a comparison based on the segmentation results, the contextual information retained, and the inference time between this 3D technique and a traditional 2D deep learning technique.
no code implementations • 19 Jan 2021 • Tanveer Gupte, Mrunmai Niljikar, Manish Gawali, Viraj Kulkarni, Amit Kharat, Aniruddha Pant
We propose an automated method based on deep learning to compute the cardiothoracic ratio and detect the presence of cardiomegaly from chest radiographs.
no code implementations • 23 Dec 2020 • Manish Gawali, Arvind C S, Shriya Suryavanshi, Harshit Madaan, Ashrika Gaikwad, Bhanu Prakash KN, Viraj Kulkarni, Aniruddha Pant
In this paper, we compare three privacy-preserving distributed learning techniques: federated learning, split learning, and SplitFed.
no code implementations • 23 Jun 2020 • Rohit Lokwani, Ashrika Gaikwad, Viraj Kulkarni, Aniruddha Pant, Amit Kharat
COVID-19 is an infectious disease that causes respiratory problems similar to those caused by SARS-CoV (2003).
no code implementations • 22 Jun 2020 • Viraj Kulkarni, Milind Kulkarni, Aniruddha Pant
However, owing to its roots in quantum mechanics, research in this field has so far been confined within the purview of the physics community, and most work is not easily accessible to researchers from other disciplines.
no code implementations • 18 Jun 2020 • Amit Kharat, Vinay Duddalwar, Krishna Saoji, Ashrika Gaikwad, Viraj Kulkarni, Gunjan Naik, Rohit Lokwani, Swaraj Kasliwal, Sudeep Kondal, Tanveer Gupte, Aniruddha Pant
Edge devices are revolutionizing diagnostics.
no code implementations • 18 Apr 2020 • Sudeep Kondal, Viraj Kulkarni, Ashrika Gaikwad, Amit Kharat, Aniruddha Pant
Our method works in two connected stages: in the first stage, an object detection model segments individual knees from the rest of the image; in the second stage, a regression model automatically grades each knee separately on the KL scale.
no code implementations • 19 Mar 2020 • Viraj Kulkarni, Milind Kulkarni, Aniruddha Pant
Federated learning enables machine learning models to learn from private decentralized data without compromising privacy.