Deepa Krishnaswamy

16 papers C 1Journal 9Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Benchmarking of Deep Learning Methods for Generic MRI Multi-Organ Abdominal Segmentation. CoRR Deepa Krishnaswamy, Cosmin Ciausu, Steven D. Pieper, Ron Kikinis, Benjamin Billot, Andrey Fedorov
2025	J	`jnl`	In search of truth: Evaluating concordance of AI-based anatomy segmentation models. CoRR Lena Giebeler, Deepa Krishnaswamy, David A. Clunie, Jakob Wasserthal, Lalith Kumar Shiyam Sundar, Andres Diaz-Pinto, Klaus H. Maier-Hein, Murong Xu, Bjoern H. Menze, Steven D. Pieper, Ron Kikinis, Andrey Fedorov
2024	J	`jnl`	Automatic classification of prostate MR series type using image content and metadata. CoRR Deepa Krishnaswamy, Balint Kovacs, Stefan Denner, Steven D. Pieper, David A. Clunie, Christopher P. Bridge, Tina Kapur, Klaus H. Maier-Hein, Andrey Fedorov
2024	J	`jnl`	Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels. CoRR Cosmin Ciausu, Deepa Krishnaswamy, Benjamin Billot, Steve Pieper, Ron Kikinis, Andrey Fedorov
2023	J	`jnl`	A Novel 3D-to-3D Diffeomorphic Registration Algorithm With Applications to Left Ventricle Segmentation in MR and Ultrasound Sequences. IEEE Access Deepa Krishnaswamy, Michelle Noga, Harald Becher, Pierre Boulanger, Kumaradevan Punithakumar
2023	J	`jnl`	Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations. CoRR Deepa Krishnaswamy, Dennis Bontempi, Vamsi Thiriveedhi, Davide Punzo, David A. Clunie, Christopher P. Bridge, Hugo J. W. L. Aerts, Ron Kikinis, Andrey Fedorov
2022	—	`conf`	Deep Learning Based Parametrization of Diffeomorphic Image Registration for the Application of Cardiac Image Segmentation. BIBM Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar
2022	J	`jnl`	Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field. CoRR Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar
2021	J	`jnl`	A New Semi-Automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences. CoRR Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
2020	C	`conf`	Interactive Data Driven Visualization for COVID-19 with Trends, Analytics and Forecasting. IV Frincy Clement, Asket Kaur, Maryam Sedghi, Deepa Krishnaswamy, Kumaradevan Punithakumar
2020	—	`conf`	Validation of Diffeomorphic Registration on Cine Cardiac MR via Direct Frame-to-Frame Comparison with HARP Tracking on Tagged MR. EMBC Ahmed Ahmed, Deepa Krishnaswamy, Kumaradevan Punithakumar, Michelle Noga
2020	—	`conf`	Validation of a diffeomorphic registration algorithm using true deformation computed from thin plate spline interpolation. EMBC Deepa Krishnaswamy, Michelle Noga, Kumaradevan Punithakumar
2018	—	`conf`	A Novel 4D Semi-Automated Algorithm for Volumetric Segmentation in Echocardiography. EMBC Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Pierre Boulanger, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
2018	J	`jnl`	A Semi-Automated Method for Measurement of Left Ventricular Volumes in 3D Echocardiography. IEEE Access Deepa Krishnaswamy, Abhilash Rakkunedeth Hareendranathan, Tan Suwatanaviroj, Harald Becher, Michelle Noga, Kumaradevan Punithakumar
2011	—	`conf`	Emulation of biological networks in reconfigurable hardware. BCB Natasa Miskov-Zivanov, Andrew Bresticker, Deepa Krishnaswamy, Sreesan Venkatakrishnan, Diana Marculescu, James R. Faeder
2011	—	`conf`	Regulatory network analysis acceleration with reconfigurable hardware. EMBC Natasa Miskov-Zivanov, Andrew Bresticker, Deepa Krishnaswamy, Sreesan Venkatakrishnan, Prashant Kashinkunti, Diana Marculescu, James R. Faeder