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ORCIDDeepa Krishnaswamy
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Journal Articles
- 2023
[j2]Deepa Krishnaswamy
, Michelle Noga, Harald Becher, Pierre Boulanger, Kumaradevan Punithakumar:
A Novel 3D-to-3D Diffeomorphic Registration Algorithm With Applications to Left Ventricle Segmentation in MR and Ultrasound Sequences. IEEE Access 11: 3144-3159 (2023)- 2018
- [j1]Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Harald Becher, Michelle Noga, Kumaradevan Punithakumar:
A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography. IEEE Access 6: 16336-16344 (2018)
Conference and Workshop Papers
- 2022
- [c7]Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar:
Deep Learning Based Parametrization of Diffeomorphic Image Registration for the Application of Cardiac Image Segmentation. BIBM 2022: 1164-1169 - 2020
- [c6]Ahmed Ahmed, Deepa Krishnaswamy, Kumaradevan Punithakumar, Michelle Noga:
Validation of Diffeomorphic Registration on Cine Cardiac MR via Direct Frame-to-Frame Comparison with HARP Tracking on Tagged MR. EMBC 2020: 1174-1177 - [c5]Deepa Krishnaswamy, Michelle Noga, Kumaradevan Punithakumar:
Validation of a diffeomorphic registration algorithm using true deformation computed from thin plate spline interpolation. EMBC 2020: 1351-1354 - [c4]Frincy Clement, Asket Kaur, Maryam Sedghi, Deepa Krishnaswamy, Kumaradevan Punithakumar:
Interactive Data Driven Visualization for COVID-19 with Trends, Analytics and Forecasting. IV 2020: 593-598 - 2018
- [c3]Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar:
A Novel 4D Semi-Automated Algorithm for Volumetric Segmentation in Echocardiography. EMBC 2018: 1119-1122 - 2011
- [c2]Natasa Miskov-Zivanov, Andrew Bresticker, Deepa Krishnaswamy, Sreesan Venkatakrishnan, Diana Marculescu, James R. Faeder:
Emulation of biological networks in reconfigurable hardware. BCB 2011: 536-540 - [c1]Natasa Miskov-Zivanov, Andrew Bresticker, Deepa Krishnaswamy, Sreesan Venkatakrishnan, Prashant Kashinkunti, Diana Marculescu, James R. Faeder:
Regulatory network analysis acceleration with reconfigurable hardware. EMBC 2011: 149-152
Informal and Other Publications
- 2024
- [i5]Cosmin Ciausu, Deepa Krishnaswamy, Benjamin Billot, Steve Pieper, Ron Kikinis, Andrey Fedorov:
Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels. CoRR abs/2403.15609 (2024) - [i4]Deepa Krishnaswamy, Balint Kovacs, Stefan Denner, Steven D. Pieper, David A. Clunie, Christopher P. Bridge, Tina Kapur, Klaus H. Maier-Hein, Andrey Fedorov:
Automatic classification of prostate MR series type using image content and metadata. CoRR abs/2404.10892 (2024) - 2023
- [i3]Deepa Krishnaswamy, Dennis Bontempi, Vamsi Thiriveedhi, Davide Punzo, David A. Clunie, Christopher P. Bridge, Hugo J. W. L. Aerts, Ron Kikinis, Andrey Fedorov:
Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations. CoRR abs/2306.00150 (2023) - 2022
- [i2]Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar:
Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field. CoRR abs/2208.13275 (2022) - 2021
- [i1]Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar:
A New Semi-Automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences. CoRR abs/2109.01132 (2021)
Coauthor Index
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