Deepa Krishnaswamy

According to our database, Deepa Krishnaswamy authored at least 13 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels.

Cosmin Ciausu, Deepa Krishnaswamy, Benjamin Billot, Steve Pieper, Ron Kikinis, Andrey Fedorov

CoRR, 2024

2023

Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations.

Deepa Krishnaswamy, Dennis Bontempi, Vamsi Thiriveedhi, Davide Punzo, David A. Clunie, Christopher P. Bridge, Hugo J. W. L. Aerts, Ron Kikinis, Andrey Fedorov

CoRR, 2023

A Novel 3D-to-3D Diffeomorphic Registration Algorithm With Applications to Left Ventricle Segmentation in MR and Ultrasound Sequences.

Deepa Krishnaswamy, Michelle Noga, Harald Becher, Pierre Boulanger, Kumaradevan Punithakumar

IEEE Access, 2023

2022

Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field.

Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar

CoRR, 2022

Deep Learning Based Parametrization of Diffeomorphic Image Registration for the Application of Cardiac Image Segmentation.

Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

A New Semi-Automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences.

Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar

CoRR, 2021

2020

Interactive Data Driven Visualization for COVID-19 with Trends, Analytics and Forecasting.

Frincy Clement, Asket Kaur, Maryam Sedghi, Deepa Krishnaswamy, Kumaradevan Punithakumar

Proceedings of the 24th International Conference on Information Visualisation, 2020

Validation of a diffeomorphic registration algorithm using true deformation computed from thin plate spline interpolation.

Deepa Krishnaswamy, Michelle Noga, Kumaradevan Punithakumar

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Validation of Diffeomorphic Registration on Cine Cardiac MR via Direct Frame-to-Frame Comparison with HARP Tracking on Tagged MR.

Ahmed Ahmed, Deepa Krishnaswamy, Kumaradevan Punithakumar, Michelle Noga

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2018

A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography.

Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Harald Becher, Michelle Noga, Kumaradevan Punithakumar

IEEE Access, 2018

A Novel 4D Semi-Automated Algorithm for Volumetric Segmentation in Echocardiography.

Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2011

Regulatory network analysis acceleration with reconfigurable hardware.

Natasa Miskov-Zivanov, Andrew Bresticker, Deepa Krishnaswamy, Sreesan Venkatakrishnan, Prashant Kashinkunti, Diana Marculescu, James R. Faeder

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Emulation of biological networks in reconfigurable hardware.

Natasa Miskov-Zivanov, Andrew Bresticker, Deepa Krishnaswamy, Sreesan Venkatakrishnan, Diana Marculescu, James R. Faeder

Proceedings of the ACM International Conference on Bioinformatics, 2011