Emulation of biological networks in reconfigurable hardware. - Natasa Miskov-Zivanov; Andrew Bresticker; Deepa Krishnaswamy; Sreesan Venkatakrishnan; Diana Marculescu; James R. Faeder (BCB, 2011)

Regulatory network analysis acceleration with reconfigurable hardware. - Natasa Miskov-Zivanov; Andrew Bresticker; Deepa Krishnaswamy; Sreesan Venkatakrishnan; Prashant Kashinkunti; Diana Marculescu; James R. Faeder (EMBC, 2011)

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 (EMBC, 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)

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 (EMBC, 2020)

Validation of a diffeomorphic registration algorithm using true deformation computed from thin plate spline interpolation. - Deepa Krishnaswamy; Michelle Noga; Kumaradevan Punithakumar (EMBC, 2020)

Interactive Data Driven Visualization for COVID-19 with Trends, Analytics and Forecasting. - Frincy Clement; Asket Kaur; Maryam Sedghi; Deepa Krishnaswamy; Kumaradevan Punithakumar (IV, 2020)

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)

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 (BIBM, 2022)

Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field. - Ameneh Sheikhjafari; Deepa Krishnaswamy; Michelle Noga; Nilanjan Ray; Kumaradevan Punithakumar (CoRR, 2022)

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)

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)

Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels. - Cosmin Ciausu; Deepa Krishnaswamy; Benjamin Billot; Steve Pieper 001; Ron Kikinis; Andrey Fedorov (CoRR, 2024)

Automatic classification of prostate MR series type using image content and metadata. - Deepa Krishnaswamy; Balint Kovacs; Stefan Denner; Steven D. Pieper; David A. Clunie; Christopher P. Bridge; Tina Kapur; Klaus H. Maier-Hein; Andrey Fedorov (CoRR, 2024)

Benchmarking of Deep Learning Methods for Generic MRI Multi-Organ Abdominal Segmentation. - Deepa Krishnaswamy; Cosmin Ciausu; Steven D. Pieper; Ron Kikinis; Benjamin Billot; Andrey Fedorov (CoRR, 2025)