Viraj Kulkarni
Orcid: 0000-0001-8246-7234
According to our database1,
Viraj Kulkarni
authored at least 15 papers
between 2020 and 2023.
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Collaborative distances:
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Bibliography
2023
A classical-quantum convolutional neural network for detecting pneumonia from chest radiographs.
Neural Comput. Appl., July, 2023
2022
Application of Federated Learning in Building a Robust COVID-19 Chest X-ray Classification Model.
CoRR, 2022
A deep learning approach for automated diagnosis of pulmonary embolism on computed tomographic pulmonary angiography.
BMC Medical Imaging, 2022
2021
Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations.
CoRR, 2021
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice.
CoRR, 2021
Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans.
CoRR, 2021
Deep Learning Models for Calculation of Cardiothoracic Ratio from Chest Radiographs for Assisted Diagnosis of Cardiomegaly.
CoRR, 2021
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021
2020
Role of Edge Device and Cloud Machine Learning in Point-of-Care Solutions Using Imaging Diagnostics for Population Screening.
CoRR, 2020
Automatic Grading of Knee Osteoarthritis on the Kellgren-Lawrence Scale from Radiographs Using Convolutional Neural Networks.
CoRR, 2020