Viraj Kulkarni

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 19

Top Topics

Chest Radiographs

Convolutional Neural Networks

Top Venues

BMC Medical Imaging

Publications

Viraj Kulkarni, Sanjesh Pawale, Amit Kharat
A classical-quantum convolutional neural network for detecting pneumonia from chest radiographs. Neural Comput. Appl. 35 (21) (2023)
Amartya Bhattacharya, Manish Gawali, Jitesh Seth, Viraj Kulkarni
Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model. CoRR (2022)
Viraj Kulkarni, Sanjesh Pawale, Amit Kharat
A Classical-Quantum Convolutional Neural Network for Detecting Pneumonia from Chest Radiographs. CoRR (2022)
Pranav Ajmera, Amit Kharat, Jitesh Seth, Snehal Rathi, Richa Pant, Manish Gawali, Viraj Kulkarni, Ragamayi Maramraju, Isha Kedia, Rajesh Botchu, Sanjay Khaladkar
A deep learning approach for automated diagnosis of pulmonary embolism on computed tomographic pulmonary angiography. BMC Medical Imaging 22 (1) (2022)
Abhishek Shivdeo, Rohit Lokwani, Viraj Kulkarni, Amit Kharat, Aniruddha Pant
Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans. CoRR (2021)
Suraj Ghuwalewala, Viraj Kulkarni, Richa Pant, Amit Kharat
Levels of Autonomous Radiology. CoRR (2021)
Harshit Madaan, Manish Gawali, Viraj Kulkarni, Aniruddha Pant
Vulnerability Due to Training Order in Split Learning. CoRR (2021)
Manish Gawali, C. S. Arvind, Shriya Suryavanshi, Harshit Madaan, Ashrika Gaikwad, K. N. Bhanu Prakash, Viraj Kulkarni, Aniruddha Pant
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare. MIUA (2021)
Tanveer Gupte, Mrunmai Niljikar, Manish Gawali, Viraj Kulkarni, Amit Kharat, Aniruddha Pant
Deep Learning Models for Calculation of Cardiothoracic Ratio from Chest Radiographs for Assisted Diagnosis of Cardiomegaly. CoRR (2021)
Viraj Kulkarni, Manish Gawali, Amit Kharat
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice. CoRR (2021)
Jitesh Seth, Rohit Lokwani, Viraj Kulkarni, Aniruddha Pant, Amit Kharat
Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations. CoRR (2021)
Rohit Lokwani, Ashrika Gaikwad, Viraj Kulkarni, Aniruddha Pant, Amit Kharat
Automated Detection of COVID-19 from CT Scans using Convolutional Neural Networks. ICPRAM (2021)
Viraj Kulkarni, Milind Kulkarni, Aniruddha Pant
Quantum computing methods for supervised learning. Quantum Mach. Intell. 3 (2) (2021)
Viraj Kulkarni, Milind Kulkarni, Aniruddha Pant
Quantum Computing Methods for Supervised Learning. CoRR (2020)
Manish Gawali, C. S. Arvind, Shriya Suryavanshi, Harshit Madaan, Ashrika Gaikwad, K. N. Bhanu Prakash, Viraj Kulkarni, Aniruddha Pant
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare. CoRR (2020)
Viraj Kulkarni, Milind Kulkarni, Aniruddha Pant
Survey of Personalization Techniques for Federated Learning. CoRR (2020)
Amit Kharat, Vinay A. Duddalwar, Krishna Saoji, Ashrika Gaikwad, Viraj Kulkarni, Gunjan Naik, Rohit Lokwani, Swaraj Kasliwal, Sudeep Kondal, Tanveer Gupte, Aniruddha Pant
Role of Edge Device and Cloud Machine Learning in Point-of-Care Solutions Using Imaging Diagnostics for Population Screening. CoRR (2020)
Sudeep Kondal, Viraj Kulkarni, Ashrika Gaikwad, Amit Kharat, Aniruddha Pant
Automatic Grading of Knee Osteoarthritis on the Kellgren-Lawrence Scale from Radiographs Using Convolutional Neural Networks. CoRR (2020)
Rohit Lokwani, Ashrika Gaikwad, Viraj Kulkarni, Aniruddha Pant, Amit Kharat
Automated Detection of COVID-19 from CT Scans Using Convolutional Neural Networks. CoRR (2020)