Nicholas Konz

39 papers A* 2Journal 31Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2.
IEEE Trans. Medical Imaging
Yuwen Chen, Zafer Yildiz, Qihang Li, Yaqian Chen, Haoyu Dong, Hanxue Gu, Nicholas Konz, Maciej A. Mazurowski
2026 J jnl
Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets.
Medical Image Anal.
Nicholas Konz, Richard Osuala, Preeti Verma, Yuwen Chen, Hanxue Gu, Haoyu Dong, Yaqian Chen, Andrew Marshall, Lidia Garrucho, Kaisar Kushibar, Daniel Lang, Sungheon Gene Kim, Lars J. Grimm, John Lewin, James S. Duncan, Julia A. Schnabel, Oliver Díaz, Karim Lekadir, Maciej A. Mazurowski
2026 J jnl
PathMoE: Interpretable Multimodal Interaction Experts for Pediatric Brain Tumor Classification.
CoRR
Jian Yu, Joakim Nguyen, Jinrui Fang, Awais Naeem, Zeyuan Cao, Sanjay Krishnan, Nicholas Konz, Tianlong Chen, Chandra Krishnan, Hairong Wang, Edward Castillo, Ying Ding, Ankita Shukla
2025 J jnl
Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2.
CoRR
Yuwen Chen, Zafer Yildiz, Qihang Li, Yaqian Chen, Haoyu Dong, Hanxue Gu, Nicholas Konz, Maciej A. Mazurowski
2025 — conf
Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?
Deep-Breath@MICCAI
Hanxue Gu, Yaqian Chen, Nicholas Konz, Qihang Li, Maciej A. Mazurowski
2025 J jnl
Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?
CoRR
Hanxue Gu, Yaqian Chen, Nicholas Konz, Qihang Li, Maciej A. Mazurowski
2025 J jnl
GuidedMorph: Two-Stage Deformable Registration for Breast MRI.
CoRR
Yaqian Chen, Hanxue Gu, Haoyu Dong, Qihang Li, Yuwen Chen, Nicholas Konz, Lin Li, Maciej A. Mazurowski
2025 J jnl
MRI-CORE: A Foundation Model for Magnetic Resonance Imaging.
CoRR
Haoyu Dong, Yuwen Chen, Hanxue Gu, Nicholas Konz, Yaqian Chen, Qihang Li, Maciej A. Mazurowski
2025 J jnl
SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI.
CoRR
Roy J. Colglazier, Jisoo Lee, Haoyu Dong, Hanxue Gu, Yaqian Chen, Joseph Y. Cao, Zafer Yildiz, Zhonghao Liu, Nicholas Konz, Jichen Yang, Jikai Zhang, Yuwen Chen, Lin Li, Adrian Camarena, Maciej A. Mazurowski
2024 — conf
Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models.
MICCAI (7)
Nicholas Konz, Yuwen Chen, Haoyu Dong, Maciej A. Mazurowski
2024 J jnl
Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models.
CoRR
Nicholas Konz, Yuwen Chen, Haoyu Dong, Maciej A. Mazurowski
2024 J jnl
ContourDiff: Unpaired Image Translation with Contour-Guided Diffusion Models.
CoRR
Yuwen Chen, Nicholas Konz, Hanxue Gu, Haoyu Dong, Yaqian Chen, Lin Li, Jisoo Lee, Maciej A. Mazurowski
2024 — conf
Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation.
CVPR Workshops
Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski
2024 J jnl
Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation.
CoRR
Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski
2024 J jnl
Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains via Intrinsic Dimension.
CoRR
Nicholas Konz, Maciej A. Mazurowski
2024 J jnl
Quantifying the Limits of Segment Anything Model: Analyzing Challenges in Segmenting Tree-Like and Low-Contrast Structures.
CoRR
Yixin Zhang, Nicholas Konz, Kevin Kramer, Maciej A. Mazurowski
2024 J jnl
RaD: A Metric for Medical Image Distribution Comparison in Out-of-Domain Detection and Other Applications.
CoRR
Nicholas Konz, Yuwen Chen, Hanxue Gu, Haoyu Dong, Yaqian Chen, Maciej A. Mazurowski
2024 J jnl
Rethinking Perceptual Metrics for Medical Image Translation.
CoRR
Nicholas Konz, Yuwen Chen, Hanxue Gu, Haoyu Dong, Maciej A. Mazurowski
2024 A* conf
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images.
ICLR
Nicholas Konz, Maciej A. Mazurowski
2024 J jnl
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images.
CoRR
Nicholas Konz, Maciej A. Mazurowski
2024 J jnl
The Impact of Scanner Domain Shift on Deep Learning Performance in Medical Imaging: an Experimental Study.
CoRR
Gregory Szumel, Brian Guo, Darui Lu, Rongze Gui, Tingyu Wang, Nicholas Konz, Maciej A. Mazurowski
2023 J jnl
A systematic study of the foreground-background imbalance problem in deep learning for object detection.
CoRR
Hanxue Gu, Haoyu Dong, Nicholas Konz, Maciej A. Mazurowski
2023 J jnl
Attributing Learned Concepts in Neural Networks to Training Data.
CoRR
Nicholas Konz, Charles Godfrey, Madelyn Shapiro, Jonathan H. Tu, Henry Kvinge, Davis Brown
2023 J jnl
Computer Vision Techniques in Manufacturing.
IEEE Trans. Syst. Man Cybern. Syst.
Longfei Zhou, Lin Zhang, Nicholas Konz
2023 J jnl
Deep Learning for Breast MRI Style Transfer with Limited Training Data.
CoRR
Shixing Cao, Nicholas Konz, James S. Duncan, Maciej A. Mazurowski
2023 J jnl
Deep Learning for Breast MRI Style Transfer with Limited Training Data.
J. Digit. Imaging
Shixing Cao, Nicholas Konz, James S. Duncan, Maciej A. Mazurowski
2023 — conf
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images.
MIDL
Nicholas Konz, Maciej A. Mazurowski
2023 J jnl
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images.
CoRR
Nicholas Konz, Maciej A. Mazurowski
2023 J jnl
SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly Detection in High-Resolution Images.
IEEE Trans. Medical Imaging
Haoyu Dong, Yifan Zhang, Hanxue Gu, Nicholas Konz, Yixin Zhang, Maciej A. Mazurowski
2023 J jnl
Segment Anything Model for Medical Image Analysis: an Experimental Study.
CoRR
Maciej A. Mazurowski, Haoyu Dong, Hanxue Gu, Jichen Yang, Nicholas Konz, Yixin Zhang
2023 J jnl
Segment anything model for medical image analysis: An experimental study.
Medical Image Anal.
Maciej A. Mazurowski, Haoyu Dong, Hanxue Gu, Jichen Yang, Nicholas Konz, Yixin Zhang
2023 J jnl
Understanding the Inner Workings of Language Models Through Representation Dissimilarity.
CoRR
Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan H. Tu, Henry Kvinge
2023 A* conf
Understanding the Inner-workings of Language Models Through Representation Dissimilarity.
EMNLP
Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan H. Tu, Henry Kvinge
2023 J jnl
Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion.
CoRR
Nicholas Konz, Haoyu Dong, Maciej A. Mazurowski
2023 J jnl
Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion.
Medical Image Anal.
Nicholas Konz, Haoyu Dong, Maciej A. Mazurowski
2022 — conf
Lightweight Transformer Backbone for Medical Object Detection.
CaPTion@MICCAI
Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski
2022 — conf
The Intrinsic Manifolds of Radiological Images and Their Role in Deep Learning.
MICCAI (8)
Nicholas Konz, Hanxue Gu, Haoyu Dong, Maciej A. Mazurowski
2022 J jnl
The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning.
CoRR
Nicholas Konz, Hanxue Gu, Haoyu Dong, Maciej A. Mazurowski
2021 J jnl
REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection.
CoRR
Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski