| Computer vision techniques in manufacturing L Zhou, L Zhang, N Konz IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (1), 105-117, 2022 | 22 | 2022 |
| 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 | 21 | 2018 |
| Segment anything model for medical image analysis: an experimental study MA Mazurowski, H Dong, H Gu, J Yang, N Konz, Y Zhang arXiv preprint arXiv:2304.10517, 2023 | 16 | 2023 |
| 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 | 12 | 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, J Witowski, ... JAMA Network Open 6 (2), e230524-e230524, 2023 | 3 | 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 | 2 | 2023 |
| Lightweight Transformer Backbone for Medical Object Detection Y Zhang, H Dong, N Konz, H Gu, MA Mazurowski MICCAI Workshop on Cancer Prevention through Early Detection, 47-56, 2022 | 2 | 2022 |
| Amplitude, frequency, and timbre with the French horn N Konz, MJ Ruiz Physics Education 53 (4), 045004, 2018 | 2 | 2018 |
| Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion N Konz, H Dong, MA Mazurowski Medical Image Analysis 87, 102836, 2023 | 1 | 2023 |
| The intrinsic manifolds of radiological images and their role in deep learning N Konz, H Gu, H Dong, MA Mazurowski International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 1 | 2022 |
| 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 | | 2023 |
| Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images N Konz, MA Mazurowski Medical Imaging with Deep Learning, 2023 | | 2023 |
| RCR: Robust Chauvenet Outlier Rejection N Konz, DE Reichart Astrophysics Source Code Library, ascl: 2302.006, 2023 | | 2023 |
| Robust Chauvenet Rejection: Powerful, but Easy to Use Outlier Detection for Heavily Contaminated Data Sets N Konz, DE Reichart arXiv preprint arXiv:2301.07838, 2023 | | 2023 |
| REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection. Y Zhang, H Dong, N Konz, H Gu, MA Mazurowski CoRR, 2021 | | 2021 |
| A New Suite of Statistical Algorithms for Bayesian Model Fitting with Both Intrinsic and Extrinsic Uncertainties in Two Dimensions N Konz | | 2020 |
| Bayesian Model Fitting to Data With Both Intrinsic and Extrinsic Uncertainties in Two Dimensions NC Konz, AS Trotter, DE Reichart | | |
Maciej A. MazurowskiAssociate Professor of Radiology, Computer Science, Electrical & Comp. Eng., and Biostat.& Bioinf.在 duke.edu 的电子邮件经过验证
