| 2026 | WACV | Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast Objects. | Yixin Zhang, Nicholas Konz, Kevin Kramer, Maciej A. Mazurowski |
| 2025 | MICCAI | Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? | Hanxue Gu, Yaqian Chen, Nicholas Konz, Qihang Li, Maciej A. Mazurowski |
| 2024 | CVPR | Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation. | Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski |
| 2024 | ICLR | The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images. | Nicholas Konz, Maciej A. Mazurowski |
| 2024 | MICCAI | Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models. | Nicholas Konz, Yuwen Chen, Haoyu Dong, Maciej A. Mazurowski |
| 2023 | EMNLP | Understanding the Inner-workings of Language Models Through Representation Dissimilarity. | Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan H. Tu, Henry Kvinge |
| 2022 | MICCAI | The Intrinsic Manifolds of Radiological Images and Their Role in Deep Learning. | Nicholas Konz, Hanxue Gu, Haoyu Dong, Maciej A. Mazurowski |
| 2022 | MICCAI | Lightweight Transformer Backbone for Medical Object Detection. | Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski |