Nicholas Konz
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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
Computer vision techniques in manufacturing
L Zhou, L Zhang, N Konz
IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (1), 105-117, 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
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
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
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
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
Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models
N Konz, Y Chen, H Dong, MA Mazurowski
arXiv preprint arXiv:2402.05210, 2024
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
Amplitude, frequency, and timbre with the French horn
N Konz, MJ Ruiz
Physics Education 53 (4), 045004, 2018
ContourDiff: Unpaired Image Translation with Contour-Guided Diffusion Models
Y Chen, N Konz, H Gu, H Dong, Y Chen, L Li, J Lee, MA Mazurowski
arXiv preprint arXiv:2403.10786, 2024
Understanding the Inner Workings of Language Models Through Representation Dissimilarity
D Brown, C Godfrey, N Konz, J Tu, H Kvinge
Empirical Methods in Natural Language Processing, 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, 2023
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
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images
N Konz, MA Mazurowski
Medical Imaging with Deep Learning, 2023
Rethinking Perceptual Metrics for Medical Image Translation
N Konz, Y Chen, H Gu, H Dong, MA Mazurowski
arXiv preprint arXiv:2404.07318, 2024
Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation
H Dong, N Konz, H Gu, MA Mazurowski
Conference on Computer Vision and Pattern Recognition (CVPR) 2024: Workshop …, 2024
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
N Konz, MA Mazurowski
International Conference on Learning Representations (ICLR), 2024
Attributing Learned Concepts in Neural Networks to Training Data
N Konz, C Godfrey, M Shapiro, J Tu, H Kvinge, D Brown
Advances in Neural Information Processing Systems (NeurIPS): Workshop on …, 2023
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
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