Nicholas Konz
Overview
Explore the profile of Nicholas Konz including associated specialties, affiliations and a list of published articles.
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Articles
6
Citations
52
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0
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Recent Articles
1.
SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly Detection in High-Resolution Images
Dong H, Zhang Y, Gu H, Konz N, Zhang Y, Mazurowski M
IEEE Trans Med Imaging
. 2023 Sep;
42(12):3860-3870.
PMID: 37695965
Anomaly detection (AD) aims to determine if an instance has properties different from those seen in normal cases. The success of this technique depends on how well a neural network...
2.
Mazurowski M, Dong H, Gu H, Yang J, Konz N, Zhang Y
Med Image Anal
. 2023 Aug;
89:102918.
PMID: 37595404
Training segmentation models for medical images continues to be challenging due to the limited availability of data annotations. Segment Anything Model (SAM) is a foundation model trained on over 1...
3.
Konz N, Dong H, Mazurowski M
Med Image Anal
. 2023 May;
87:102836.
PMID: 37201220
Automated tumor detection in Digital Breast Tomosynthesis (DBT) is a difficult task due to natural tumor rarity, breast tissue variability, and high resolution. Given the scarcity of abnormal images and...
4.
Konz N, Buda M, Gu H, Saha A, Yang J, Chledowski J, et al.
JAMA Netw Open
. 2023 Feb;
6(2):e230524.
PMID: 36821110
Importance: An accurate and robust artificial intelligence (AI) algorithm for detecting cancer in digital breast tomosynthesis (DBT) could significantly improve detection accuracy and reduce health care costs worldwide. Objectives: To...
5.
Cao S, Konz N, Duncan J, Mazurowski M
J Digit Imaging
. 2022 Dec;
36(2):666-678.
PMID: 36544066
In this work we introduce a novel medical image style transfer method, StyleMapper, that can transfer medical scans to an unseen style with access to limited training data. This is...
6.
Swiecicki A, Konz N, Buda M, Mazurowski M
Sci Rep
. 2021 May;
11(1):10276.
PMID: 33986361
Deep learning has shown tremendous potential in the task of object detection in images. However, a common challenge with this task is when only a limited number of images containing...