| 2025 | ICCV | Quantifying Inter-Operator Variability and its Causes for Medical Semantic Segmentation. | Sophie Fischer, Irina Voiculescu |
| 2025 | ICCV | Are X-Ray Landmark Detection Models Fair? A Preliminary Assessment and Mitigation Strategy. | Roberto Di Via, Massimiliano Ciranni, Davide Marinelli, Allison Clement, Nikil Patel, Julian Wyatt, Francesca Odone, Matteo Santacesaria, Irina Voiculescu, Vito Paolo Pastore |
| 2025 | ICIAP | A Handful of Data: Evaluating Few-Shot Incremental Landmark Detection. | Nikil Patel, Allison Clement, Julian Wyatt, Roberto Di Via, Davide Marinelli, Massimiliano Ciranni, Vito Paolo Pastore, Irina Voiculescu |
| 2025 | MICCAI | Confidence in Angle Predictions for Clinical Decision Support. | Allison Clement, James Willoughby, Irina Voiculescu |
| 2024 | CVPR | Hairy Ground Truth Enhancement for Semantic Segmentation. | Sophie Fischer, Irina Voiculescu |
| 2024 | ECCV | Landmark-Based Screening: Femoral Head Coverage and Graf Classification in Infant Developmental Dysplasia of the Hip. | Allison Clement, Abhinav Singh, Irina Voiculescu |
| 2023 | MICCAI | Weakly Supervised Medical Image Segmentation Through Dense Combinations of Dense Pseudo-Labels. | Ziyang Wang, Irina Voiculescu |
| 2023 | MICCAI | Exigent Examiner and Mean Teacher: An Advanced 3D CNN-Based Semi-Supervised Brain Tumor Segmentation Framework. | Ziyang Wang, Irina Voiculescu |
| 2022 | CVPR | Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity. | Nanqing Dong, Jiayi Wang, Irina Voiculescu |
| 2022 | CVPR | Contour-Hugging Heatmaps for Landmark Detection. | James McCouat, Irina Voiculescu |
| 2022 | ICIP | Parallel Partitioning: Path Reducing and Union-Find Based Watershed for the GPU. | Yeva Gabrielyan, Varduhi Yeghiazaryan, Irina Voiculescu |
| 2022 | ICIP | Computationally-Efficient Vision Transformer for Medical Image Semantic Segmentation Via Dual Pseudo-Label Supervision. | Ziyang Wang, Nanqing Dong, Irina Voiculescu |
| 2022 | MICCAI | Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. | Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu |
| 2022 | MICCAI | Triple-View Feature Learning for Medical Image Segmentation. | Ziyang Wang, Irina Voiculescu |
| 2021 | BMVC | Quantum Unsupervised Domain Adaptation: Does Entanglement Help? | Nanqing Dong, Michael C. Kampffmeyer, Irina Voiculescu |
| 2021 | ICIP | RAR-U-NET: A Residual Encoder to Attention Decoder by Residual Connections Framework for Spine Segmentation Under Noisy Labels. | Ziyang Wang, Zhengdong Zhang, Irina Voiculescu |
| 2021 | MICCAI | Federated Contrastive Learning for Decentralized Unlabeled Medical Images. | Nanqing Dong, Irina Voiculescu |
| 2018 | WACV | Path Reducing Watershed for the GPU. | Varduhi Yeghiazaryan, Irina Voiculescu |
| 2016 | SYNASC | Parameterized Cellular Automata in Image Segmentation. | Anca Andreica, Laura Diosan, Irina Voiculescu |
| 2009 | SAS | Creating Transformations for Matrix Obfuscation. | Stephen Drape, Irina Voiculescu |
| 2000 | GMP | Interval Methods in Geometric Modeling. | Adrian Bowyer, Jakob Berchtold, David Eisenthal, Irina Voiculescu, Kevin D. Wise |