Nicholas Konz

According to our database, Nicholas Konz authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ContourDiff: Unpaired Image Translation with Contour-Guided Diffusion Models.

Yuwen Chen, Nicholas Konz, Hanxue Gu, Haoyu Dong, Yaqian Chen, Lin Li, Jisoo Lee, Maciej A. Mazurowski

CoRR, 2024

Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation.

Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski

CoRR, 2024

Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models.

Nicholas Konz, Yuwen Chen, Haoyu Dong, Maciej A. Mazurowski

CoRR, 2024

The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images.

Nicholas Konz, Maciej A. Mazurowski

CoRR, 2024

2023

SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly Detection in High-Resolution Images.

Haoyu Dong, Yifan Zhang, Hanxue Gu, Nicholas Konz, Yixin Zhang, Maciej A. Mazurowski

IEEE Trans. Medical Imaging, December, 2023

Segment anything model for medical image analysis: An experimental study.

Maciej A. Mazurowski, Haoyu Dong, Hanxue Gu, Jichen Yang, Nicholas Konz, Yixin Zhang

Medical Image Anal., October, 2023

Deep Learning for Breast MRI Style Transfer with Limited Training Data.

Shixing Cao, Nicholas Konz, James S. Duncan, Maciej A. Mazurowski

J. Digit. Imaging, April, 2023

Computer Vision Techniques in Manufacturing.

Longfei Zhou, Lin Zhang, Nicholas Konz

IEEE Trans. Syst. Man Cybern. Syst., 2023

Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion.

Nicholas Konz, Haoyu Dong, Maciej A. Mazurowski

Medical Image Anal., 2023

Attributing Learned Concepts in Neural Networks to Training Data.

Nicholas Konz, Charles Godfrey, Madelyn Shapiro, Jonathan Tu, Henry Kvinge, Davis Brown

CoRR, 2023

A systematic study of the foreground-background imbalance problem in deep learning for object detection.

Hanxue Gu, Haoyu Dong, Nicholas Konz, Maciej A. Mazurowski

CoRR, 2023

Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images.

Nicholas Konz, Maciej A. Mazurowski

Proceedings of the Medical Imaging with Deep Learning, 2023

Understanding the Inner-workings of Language Models Through Representation Dissimilarity.

Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan Tu, Henry Kvinge

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Lightweight Transformer Backbone for Medical Object Detection.

Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski

Proceedings of the Cancer Prevention Through Early Detection, 2022

The Intrinsic Manifolds of Radiological Images and Their Role in Deep Learning.

Nicholas Konz, Hanxue Gu, Haoyu Dong, Maciej A. Mazurowski

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection.

Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski

CoRR, 2021