REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection. - Yifan Zhang; Haoyu Dong 003; Nicholas Konz; Hanxue Gu; Maciej A. Mazurowski (CoRR, 2021)

The Intrinsic Manifolds of Radiological Images and Their Role in Deep Learning. - Nicholas Konz; Hanxue Gu; Haoyu Dong 003; Maciej A. Mazurowski (MICCAI (8), 2022)

Lightweight Transformer Backbone for Medical Object Detection. - Yifan Zhang; Haoyu Dong 003; Nicholas Konz; Hanxue Gu; Maciej A. Mazurowski (CaPTion@MICCAI, 2022)

Understanding the Inner-workings of Language Models Through Representation Dissimilarity. - Davis Brown; Charles Godfrey; Nicholas Konz; Jonathan H. Tu; Henry Kvinge (EMNLP, 2023)

Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images. - Nicholas Konz; Maciej A. Mazurowski (MIDL, 2023)

A systematic study of the foreground-background imbalance problem in deep learning for object detection. - Hanxue Gu; Haoyu Dong 003; Nicholas Konz; Maciej A. Mazurowski (CoRR, 2023)

Attributing Learned Concepts in Neural Networks to Training Data. - Nicholas Konz; Charles Godfrey; Madelyn Shapiro; Jonathan H. Tu; Henry Kvinge; Davis Brown (CoRR, 2023)

Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion. - Nicholas Konz; Haoyu Dong 003; Maciej A. Mazurowski (Medical Image Anal., 2023)

Computer Vision Techniques in Manufacturing. - Longfei Zhou; Lin Zhang 009; Nicholas Konz (IEEE Trans. Syst. Man Cybern. Syst., 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, 2023)

Segment anything model for medical image analysis: An experimental study. - Maciej A. Mazurowski; Haoyu Dong 003; Hanxue Gu; Jichen Yang; Nicholas Konz; Yixin Zhang (Medical Image Anal., 2023)

SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly Detection in High-Resolution Images. - Haoyu Dong 003; Yifan Zhang; Hanxue Gu; Nicholas Konz; Yixin Zhang; Maciej A. Mazurowski (IEEE Trans. Medical Imaging, 2023)

Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation. - Haoyu Dong 003; Nicholas Konz; Hanxue Gu; Maciej A. Mazurowski (CVPR Workshops, 2024)

The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images. - Nicholas Konz; Maciej A. Mazurowski (ICLR, 2024)

Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models. - Nicholas Konz; Yuwen Chen 003; Haoyu Dong 003; Maciej A. Mazurowski (MICCAI (7), 2024)

ContourDiff: Unpaired Image Translation with Contour-Guided Diffusion Models. - Yuwen Chen 003; Nicholas Konz; Hanxue Gu; Haoyu Dong 003; Yaqian Chen; Lin Li; Jisoo Lee; Maciej A. Mazurowski (CoRR, 2024)

Rethinking Perceptual Metrics for Medical Image Translation. - Nicholas Konz; Yuwen Chen 003; Hanxue Gu; Haoyu Dong 003; Maciej A. Mazurowski (CoRR, 2024)

Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains via Intrinsic Dimension. - Nicholas Konz; Maciej A. Mazurowski (CoRR, 2024)

The Impact of Scanner Domain Shift on Deep Learning Performance in Medical Imaging: an Experimental Study. - Gregory Szumel; Brian Guo; Darui Lu; Rongze Gui; Tingyu Wang; Nicholas Konz; Maciej A. Mazurowski (CoRR, 2024)

RaD: A Metric for Medical Image Distribution Comparison in Out-of-Domain Detection and Other Applications. - Nicholas Konz; Yuwen Chen 003; Hanxue Gu; Haoyu Dong 003; Yaqian Chen; Maciej A. Mazurowski (CoRR, 2024)

Quantifying the Limits of Segment Anything Model: Analyzing Challenges in Segmenting Tree-Like and Low-Contrast Structures. - Yixin Zhang; Nicholas Konz; Kevin Kramer; Maciej A. Mazurowski (CoRR, 2024)

Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2. - Yuwen Chen 003; Zafer Yildiz; Qihang Li; Yaqian Chen; Haoyu Dong 003; Hanxue Gu; Nicholas Konz; Maciej A. Mazurowski (CoRR, 2025)

GuidedMorph: Two-Stage Deformable Registration for Breast MRI. - Yaqian Chen; Hanxue Gu; Haoyu Dong 003; Qihang Li; Yuwen Chen 003; Nicholas Konz; Lin Li; Maciej A. Mazurowski (CoRR, 2025)

MRI-CORE: A Foundation Model for Magnetic Resonance Imaging. - Haoyu Dong 003; Yuwen Chen 003; Hanxue Gu; Nicholas Konz; Yaqian Chen; Qihang Li; Maciej A. Mazurowski (CoRR, 2025)

SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI. - Roy J. Colglazier; Jisoo Lee; Haoyu Dong 003; Hanxue Gu; Yaqian Chen; Joseph Y. Cao; Zafer Yildiz; Zhonghao Liu; Nicholas Konz; Jichen Yang; Jikai Zhang; Yuwen Chen 003; et al. (CoRR, 2025)

Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration? - Hanxue Gu; Yaqian Chen; Nicholas Konz; Qihang Li; Maciej A. Mazurowski (CoRR, 2025)