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Nicholas Konz
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2020 – today
- 2024
- [c7]Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski:
Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation. CVPR Workshops 2024: 5046-5055 - [c6]Nicholas Konz, Maciej A. Mazurowski:
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images. ICLR 2024 - [c5]Nicholas Konz, Yuwen Chen, Haoyu Dong, Maciej A. Mazurowski:
Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models. MICCAI (7) 2024: 88-98 - [i16]Nicholas Konz, Maciej A. Mazurowski:
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images. CoRR abs/2401.08865 (2024) - [i15]Nicholas Konz, Yuwen Chen, Haoyu Dong, Maciej A. Mazurowski:
Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models. CoRR abs/2402.05210 (2024) - [i14]Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski:
Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation. CoRR abs/2402.09604 (2024) - [i13]Yuwen Chen, Nicholas Konz, Hanxue Gu, Haoyu Dong, Yaqian Chen, Lin Li, Jisoo Lee, Maciej A. Mazurowski:
ContourDiff: Unpaired Image Translation with Contour-Guided Diffusion Models. CoRR abs/2403.10786 (2024) - [i12]Nicholas Konz, Yuwen Chen, Hanxue Gu, Haoyu Dong, Maciej A. Mazurowski:
Rethinking Perceptual Metrics for Medical Image Translation. CoRR abs/2404.07318 (2024) - [i11]Nicholas Konz, Maciej A. Mazurowski:
Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains via Intrinsic Dimension. CoRR abs/2408.08381 (2024) - [i10]Gregory Szumel, Brian Guo, Darui Lu, Rongze Gui, Tingyu Wang, Nicholas Konz, Maciej A. Mazurowski:
The Impact of Scanner Domain Shift on Deep Learning Performance in Medical Imaging: an Experimental Study. CoRR abs/2409.04368 (2024) - 2023
- [j5]Shixing Cao, Nicholas Konz, James S. Duncan, Maciej A. Mazurowski:
Deep Learning for Breast MRI Style Transfer with Limited Training Data. J. Digit. Imaging 36(2): 666-678 (2023) - [j4]Nicholas Konz, Haoyu Dong, Maciej A. Mazurowski:
Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion. Medical Image Anal. 87: 102836 (2023) - [j3]Maciej A. Mazurowski, Haoyu Dong, Hanxue Gu, Jichen Yang, Nicholas Konz, Yixin Zhang:
Segment anything model for medical image analysis: An experimental study. Medical Image Anal. 89: 102918 (2023) - [j2]Haoyu Dong, Yifan Zhang, Hanxue Gu, Nicholas Konz, Yixin Zhang, Maciej A. Mazurowski:
SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly Detection in High-Resolution Images. IEEE Trans. Medical Imaging 42(12): 3860-3870 (2023) - [j1]Longfei Zhou, Lin Zhang, Nicholas Konz:
Computer Vision Techniques in Manufacturing. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 105-117 (2023) - [c4]Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan H. Tu, Henry Kvinge:
Understanding the Inner-workings of Language Models Through Representation Dissimilarity. EMNLP 2023: 6543-6558 - [c3]Nicholas Konz, Maciej A. Mazurowski:
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images. MIDL 2023: 829-845 - [i9]Shixing Cao, Nicholas Konz, James S. Duncan, Maciej A. Mazurowski:
Deep Learning for Breast MRI Style Transfer with Limited Training Data. CoRR abs/2301.02069 (2023) - [i8]Nicholas Konz, Maciej A. Mazurowski:
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images. CoRR abs/2303.04911 (2023) - [i7]Maciej A. Mazurowski, Haoyu Dong, Hanxue Gu, Jichen Yang, Nicholas Konz, Yixin Zhang:
Segment Anything Model for Medical Image Analysis: an Experimental Study. CoRR abs/2304.10517 (2023) - [i6]Nicholas Konz, Haoyu Dong, Maciej A. Mazurowski:
Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion. CoRR abs/2305.03098 (2023) - [i5]Hanxue Gu, Haoyu Dong, Nicholas Konz, Maciej A. Mazurowski:
A systematic study of the foreground-background imbalance problem in deep learning for object detection. CoRR abs/2306.16539 (2023) - [i4]Nicholas Konz, Charles Godfrey, Madelyn Shapiro, Jonathan H. Tu, Henry Kvinge, Davis Brown:
Attributing Learned Concepts in Neural Networks to Training Data. CoRR abs/2310.03149 (2023) - [i3]Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan H. Tu, Henry Kvinge:
Understanding the Inner Workings of Language Models Through Representation Dissimilarity. CoRR abs/2310.14993 (2023) - 2022
- [c2]Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski:
Lightweight Transformer Backbone for Medical Object Detection. CaPTion@MICCAI 2022: 47-56 - [c1]Nicholas Konz, Hanxue Gu, Haoyu Dong, Maciej A. Mazurowski:
The Intrinsic Manifolds of Radiological Images and Their Role in Deep Learning. MICCAI (8) 2022: 684-694 - [i2]Nicholas Konz, Hanxue Gu, Haoyu Dong, Maciej A. Mazurowski:
The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning. CoRR abs/2207.02797 (2022) - 2021
- [i1]Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski:
REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection. CoRR abs/2111.11546 (2021)
Coauthor Index
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