| 2025 | BIBE | Improving Right Ventricle Segmentation in Cardiac Magnetic Resonance Imaging Through Transfer Learning. | Abbas Rizvi, Ampatishan Sivalingam, Ramesh Mahdavifar, Liang Zhong, Michelle Noga, Kumaradevan Punithakumar |
| 2025 | CBMS | Glasses-Free Holographic Visualization of Pediatric Computed Tomography DICOM Data on Looking Glass 16" OLED. | Qianyu Xie, Michelle Noga, Kumaradevan Punithakumar |
| 2025 | MICCAI | OralSAM: One-Shot Segmentation for Intraoral Ultrasound Videos with Adaptive Feature Correlation and Self-prompting Strategy. | Logiraj Kumaralingam, Anparasy Sivaanpu, Manh-Hai Hoang, Javaneh Alavi, Kim-Cuong T. Nguyen, Kumaradevan Punithakumar, Edmond H. M. Lou, Paul W. Major, Lawrence H. Le |
| 2024 | MICCAI | Final Stroke Infarct Segmentation Using Deep Neural Networks. | Luan Matheus Trindade Dalmazo, Kumaradevan Punithakumar |
| 2023 | BIBE | Image Registration for Multi-View Three-Dimensional Echocardiography Sequences. | Srivathsan Shanmuganathan, Michelle Noga, Bernadette Foster, Harald Becher, Kumaradevan Punithakumar |
| 2023 | MICCAI | A Deep Learning Approach for the Segmentation of Kidney, Tumor and Cyst in Computed Tomography Scans. | Kartik Narayan Sahoo, Kumaradevan Punithakumar |
| 2023 | MICCAI | A Deep Neural Network Approach for the Lesion Segmentation from Neonatal Brain Magnetic Resonance Imaging. | Nazanin Tahmasebi, Kumaradevan Punithakumar |
| 2022 | MICCAI | Automated Segmentation of the Left Atrium and Scar Using Deep Convolutional Neural Networks. | Kumaradevan Punithakumar, Michelle Noga |
| 2021 | MICCAI | TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection. | Atefeh Shahroudnejad, Xuebin Qin, Sharanya Balachandran, Masood Dehghan, Dornoosh Zonoobi, Jacob L. Jaremko, Jeevesh Kapur, Martin Jgersand, Michelle Noga, Kumaradevan Punithakumar |
| 2020 | IV | Interactive Data Driven Visualization for COVID-19 with Trends, Analytics and Forecasting. | Frincy Clement, Asket Kaur, Maryam Sedghi, Deepa Krishnaswamy, Kumaradevan Punithakumar |
| 2020 | MICCAI | A Deep Convolutional Neural Network Approach for the Segmentation of Cardiac Structures from MRI Sequences. | Adam Carscadden, Michelle Noga, Kumaradevan Punithakumar |
| 2020 | MICCAI | Fully Automated Deep Learning Based Segmentation of Normal, Infarcted and Edema Regions from Multiple Cardiac MRI Sequences. | Xiaoran Zhang, Michelle Noga, Kumaradevan Punithakumar |
| 2012 | MICCAI | Vertebral Body Segmentation in MRI via Convex Relaxation and Distribution Matching. | Ismail Ben Ayed, Kumaradevan Punithakumar, Rashid Minhas, Rohit Joshi, Gregory J. Garvin |
| 2012 | MICCAI | Regional Heart Motion Abnormality Detection via Multiview Fusion. | Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Aashish Goela, Shuo Li |
| 2011 | MICCAI | Assessment of Regional Myocardial Function via Statistical Features in MR Images. | Mariam Afshin, Ismail Ben Ayed, Kumaradevan Punithakumar, Max W. K. Law, Ali Islam, Aashish Goela, Ian G. Ross, Terry M. Peters, Shuo Li |
| 2010 | CVPR | Graph cut segmentation with a global constraint: Recovering region distribution via a bound of the Bhattacharyya measure. | Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Ian G. Ross, Shuo Li |
| 2010 | MICCAI | Regional Heart Motion Abnormality Detection via Information Measures and Unscented Kalman Filtering. | Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li |
| 2009 | ACCV | Tracking Endocardial Boundary and Motion via Graph Cut Distribution Matching and Multiple Model Filtering. | Kumaradevan Punithakumar, Ismail Ben Ayed, Ali Islam, Ian G. Ross, Shuo Li |
| 2009 | MICCAI | Left Ventricle Segmentation via Graph Cut Distribution Matching. | Ismail Ben Ayed, Kumaradevan Punithakumar, Shuo Li, Ali Islam, Jaron Chong |
| 2009 | MICCAI | Heart Motion Abnormality Detection via an Information Measure and Bayesian Filtering. | Kumaradevan Punithakumar, Shuo Li, Ismail Ben Ayed, Ian G. Ross, Ali Islam, Jaron Chong |