| Segment anything model for medical image analysis: an experimental study MA Mazurowski, H Dong, H Gu, J Yang, N Konz, Y Zhang Medical Image Analysis 89, 102918, 2023 | 847 | 2023 |
| Computer vision techniques in manufacturing L Zhou, L Zhang, N Konz IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (1), 105-117, 2022 | 284 | 2022 |
| Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models N Konz, Y Chen, H Dong, MA Mazurowski MICCAI 2024, 2024 | 91 | 2024 |
| Robust chauvenet outlier rejection MP Maples, DE Reichart, NC Konz, TA Berger, AS Trotter, JR Martin, ... The Astrophysical Journal Supplement Series 238 (1), 2, 2018 | 34 | 2018 |
| A generative adversarial network-based abnormality detection using only normal images for model training with application to digital breast tomosynthesis A Swiecicki, N Konz, M Buda, MA Mazurowski Scientific reports 11 (1), 10276, 2021 | 29 | 2021 |
| A competition, benchmark, code, and data for using artificial intelligence to detect lesions in digital breast tomosynthesis N Konz*, M Buda*, H Gu, A Saha, J Yang, J Chłędowski, J Park, ... JAMA network open 6 (2), e230524-e230524, 2023 | 24 | 2023 |
| Deep learning for breast mri style transfer with limited training data S Cao, N Konz, J Duncan, MA Mazurowski Journal of Digital imaging 36 (2), 666-678, 2023 | 21 | 2023 |
| The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images N Konz, MA Mazurowski ICLR 2024, 2024 | 20 | 2024 |
| The intrinsic manifolds of radiological images and their role in deep learning N Konz, H Gu, H Dong, MA Mazurowski MICCAI 2022, 684-694, 2022 | 20 | 2022 |
| ContourDiff: Unpaired Medical Image Translation with Structural Consistency Y Chen, N Konz, H Gu, H Dong, Y Chen, L Li, J Lee, MA Mazurowski Machine Learning for Biomedical Imaging 3 (November 2025 issue), 711-727, 2025 | 19* | 2025 |
| The impact of scanner domain shift on deep learning performance in medical imaging: an experimental study B Guo, D Lu, G Szumel, R Gui, T Wang, N Konz, MA Mazurowski arXiv preprint arXiv:2409.04368, 2024 | 14* | 2024 |
| Understanding the Inner Workings of Language Models Through Representation Dissimilarity D Brown, C Godfrey, N Konz, J Tu, H Kvinge EMNLP 2023, 2023 | 14 | 2023 |
| SWSSL: sliding window-based self-supervised learning for anomaly detection in high-resolution images H Dong, Y Zhang, H Gu, N Konz, Y Zhang, MA Mazurowski IEEE transactions on medical imaging 42 (12), 3860-3870, 2023 | 14 | 2023 |
| Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation H Dong, N Konz, H Gu, MA Mazurowski DEF-AI-MIA @ CVPR 2024 (Oral), 2024 | 13 | 2024 |
| Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images N Konz, MA Mazurowski MIDL 2023, 2023 | 10 | 2023 |
| MRI-CORE: A Foundation Model for Magnetic Resonance Imaging H Dong, Y Chen, H Gu, N Konz, Y Chen, Q Li, MA Mazurowski arXiv preprint arXiv:2506.12186, 2025 | 9 | 2025 |
| A systematic study of the foreground-background imbalance problem in deep learning for object detection H Gu, H Dong, N Konz, MA Mazurowski arXiv preprint arXiv:2306.16539, 2023 | 8 | 2023 |
| Lightweight transformer backbone for medical object detection Y Zhang, H Dong, N Konz, H Gu, MA Mazurowski CaPTion @ MICCAI 2022, 47-56, 2022 | 8* | 2022 |
| Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets N Konz, R Osuala, P Verma, Y Chen, H Gu, H Dong, Y Chen, A Marshall, ... arXiv preprint arXiv:2412.01496, 2024 | 6* | 2024 |
| Amplitude, frequency, and timbre with the French horn N Konz, MJ Ruiz Physics Education 53 (4), 045004, 2018 | 5 | 2018 |
Maciej A. MazurowskiAssociate Professor of Biostatistics & Bioinformatics, Radiology, Comp. Sci., ECE, Duke UniversityVerified email at duke.edu
