Ikuti
Nicholas Konz
Judul
Dikutip oleh
Dikutip oleh
Tahun
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
4872023
Computer vision techniques in manufacturing
L Zhou, L Zhang, N Konz
IEEE Transactions on Systems, Man, and Cybernetics: Systems 53 (1), 105-117, 2022
1512022
Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models
N Konz, Y Chen, H Dong, MA Mazurowski
MICCAI 2024 (International Conference on Medical Image Computing and …, 2024
252024
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
202021
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
182018
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
162023
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
162023
The intrinsic manifolds of radiological images and their role in deep learning
N Konz, H Gu, H Dong, MA Mazurowski
MICCAI 2022 (International Conference on Medical Image Computing and …, 2022
132022
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
N Konz, MA Mazurowski
ICLR 2024 (International Conference on Learning Representations), 2024
92024
Understanding the Inner Workings of Language Models Through Representation Dissimilarity
D Brown, C Godfrey, N Konz, J Tu, H Kvinge
EMNLP 2023 (Empirical Methods in Natural Language Processing), 2023
82023
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images
N Konz, MA Mazurowski
MIDL 2023 (Medical Imaging with Deep Learning), 2023
62023
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
6*2022
Contourdiff: Unpaired image translation with contourguided diffusion models
Y Chen, N Konz, H Gu, H Dong, Y Chen, L Li, J Lee, MA Mazurowski
arXiv preprint arXiv:2403.10786 2 (3), 4, 2024
52024
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
52023
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
42024
Amplitude, frequency, and timbre with the French horn
N Konz, MJ Ruiz
Physics Education 53 (4), 045004, 2018
42018
Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation
H Dong, N Konz, H Gu, MA Mazurowski
CVPR 2024 (Conference on Computer Vision and Pattern Recognition): Workshop …, 2024
22024
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
22023
Rethinking Perceptual Metrics for Medical Image Translation
N Konz, Y Chen, H Gu, H Dong, MA Mazurowski
MIDL 2024 (Medical Imaging with Deep Learning): Short Paper Track, 2024
12024
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
12023
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