Maciej A. Mazurowski

147 papers A* 2B 7Journal 95Unranked 41

Year	Rank	Type	Title / 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`	Agentic Automation of BT-RADS Scoring: End-to-End Multi-Agent System for Standardized Brain Tumor Follow-up Assessment. CoRR Mohamed Sobhi Jabal, Jikai Zhang, Dominic LaBella, Jessica L. Houk, Dylan Zhang, Jeffrey D. Rudie, Kirti Magudia, Maciej A. Mazurowski, Evan Calabrese
2026	J	`jnl`	Effectiveness of Automatically Curated Dataset in Thyroid Nodules Classification Algorithms Using Deep Learning. CoRR Jichen Yang, Jikai Zhang, Benjamin Wildman-Tobriner, 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
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`	Automated Muscle and Fat Segmentation in Computed Tomography for Comprehensive Body Composition Analysis. CoRR Yaqian Chen, Hanxue Gu, Yuwen Chen, Jicheng Yang, Haoyu Dong, Joseph Y. Cao, Adrian Camarena, Christopher Mantyh, Roy J. Colglazier, Maciej A. Mazurowski
2025	J	`jnl`	Breast density in MRI: an AI-based quantification and relationship to assessment in mammography. CoRR Yaqian Chen, Lin Li, Hanxue Gu, Haoyu Dong, Derek L. Nguyen, Allan D. Kirk, Maciej A. Mazurowski, Eun-Sil Shelley Hwang
2025	—	`conf`	BreastSegNet: Multi-label Segmentation of Breast MRI. Deep-Breath@MICCAI Qihang Li, Jichen Yang, Yaqian Chen, Yuwen Chen, Hanxue Gu, Lars J. Grimm, Maciej A. Mazurowski
2025	J	`jnl`	BreastSegNet: Multi-label Segmentation of Breast MRI. CoRR Qihang Li, Jichen Yang, Yaqian Chen, Yuwen Chen, Hanxue Gu, Lars J. Grimm, Maciej A. Mazurowski
2025	J	`jnl`	Fully Automated Deep Learning Based Glenoid Bone Loss Measurement and Severity Stratification on 3D CT in Shoulder Instability. CoRR Zhonghao Liu, Hanxue Gu, Qihang Li, Michael Fox, Jay M. Levin, Maciej A. Mazurowski, Brian C. Lau
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`	How to Efficiently Annotate Images for Best-Performing Deep Learning-Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model. J. Imaging Inform. Medicine Yixin Zhang, Shen Zhao, Hanxue Gu, Maciej A. Mazurowski
2025	J	`jnl`	Improving Surgical Risk Prediction Through Integrating Automated Body Composition Analysis: a Retrospective Trial on Colectomy Surgery. CoRR Hanxue Gu, Yaqian Chen, Jisoo Lee, Diego Schaps, Regina Woody, Roy J. Colglazier, Maciej A. Mazurowski, Christopher Mantyh
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`	Rethinking Pulmonary Embolism Segmentation: A Study of Current Approaches and Challenges with an Open Weight Model. CoRR Yixin Zhang, Ryan Chamberlain, Lawrence Ngo, Kevin Kramer, Maciej A. Mazurowski
2025	J	`jnl`	SegmentAnyBone: A universal model that segments any bone at any location on MRI. Medical Image Anal. Hanxue Gu, Roy J. Colglazier, Haoyu Dong, Jikai Zhang, Yaqian Chen, Zafer Yildiz, Yuwen Chen, Lin Li, Jichen Yang, Jay Willhite, Alex M. Meyer, Brian Guo, Yashvi Atul Shah, Emily Luo, Shipra Rajput, Sally Kuehn, Clark Bulleit, Kevin A. Wu, Jisoo Lee, Brandon Ramirez, Darui Lu, Jay M. Levin, 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
2025	J	`jnl`	Transplant-Ready? Evaluating AI Lung Segmentation Models in Candidates with Severe Lung Disease. CoRR Jisoo Lee, Michael R. Harowicz, Yuwen Chen, Hanxue Gu, Isaac S. Alderete, Lin Li, Maciej A. Mazurowski, Matthew G. Hartwig
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	J	`jnl`	Convolutional neural networks rarely learn shape for semantic segmentation. Pattern Recognit. Yixin Zhang, Maciej A. Mazurowski
2024	J	`jnl`	Deep learning automates Cobb angle measurement compared with multi-expert observers. CoRR Keyu Li, Hanxue Gu, Roy J. Colglazier, Robert Lark, Elizabeth Hubbard, Robert French, Denise Smith, Jikai Zhang, Erin McCrum, Anthony Catanzano, Joseph Y. Cao, Leah Waldman, Maciej A. Mazurowski, Benjamin Alman
2024	J	`jnl`	Domain Generalization for Medical Image Analysis: A Review. Proc. IEEE Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk
2024	J	`jnl`	How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model. CoRR Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski
2024	J	`jnl`	How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images? CoRR Yixin Zhang, Kevin Kramer, Maciej A. Mazurowski
2024	J	`jnl`	Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports. CoRR Mohamed Sobhi Jabal, Pranav I. Warman, Jikai Zhang, Kartikeye Gupta, Ayush Jain, Maciej A. Mazurowski, Walter F. Wiggins, Kirti Magudia, Evan Calabrese
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	—	`conf`	Predicting 3D forearm fracture angle from biplanar Xray images with rotational bone pose estimation. MIDL Hanxue Gu, Roy J. Colglazier, Jikai Zhang, Robert Lark, Benjamin Alman, 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	J	`jnl`	SAM & SAM 2 in 3D Slicer: SegmentWithSAM Extension for Annotating Medical Images. CoRR Zafer Yildiz, Yuwen Chen, Maciej A. Mazurowski
2024	J	`jnl`	Segment anything model 2: an application to 2D and 3D medical images. CoRR Haoyu Dong, Hanxue Gu, Yaqian Chen, Jichen Yang, Yuwen Chen, Maciej A. Mazurowski
2024	J	`jnl`	SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI. CoRR Hanxue Gu, Roy J. Colglazier, Haoyu Dong, Jikai Zhang, Yaqian Chen, Zafer Yildiz, Yuwen Chen, Lin Li, Jichen Yang, Jay Willhite, Alex M. Meyer, Brian Guo, Yashvi Atul Shah, Emily Luo, Shipra Rajput, Sally Kuehn, Clark Bulleit, Kevin A. Wu, Jisoo Lee, Brandon Ramirez, Darui Lu, Jay M. Levin, 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
2024	A*	`conf`	Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou
2024	J	`jnl`	Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? CoRR Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou
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`	Convolutional Neural Networks Rarely Learn Shape for Semantic Segmentation. CoRR Yixin Zhang, Maciej A. Mazurowski
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	J	`jnl`	Domain Generalization for Medical Image Analysis: A Survey. CoRR Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk
2023	J	`jnl`	How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model. CoRR Yixin Zhang, Shen Zhao, Hanxue Gu, Maciej A. Mazurowski
2023	J	`jnl`	Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach. CoRR Jikai Zhang, Carlos Santos, Christine Park, Maciej A. Mazurowski, Roy J. Colglazier
2023	J	`jnl`	Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach. J. Digit. Imaging Jikai Zhang, Carlos Santos, Christine Park, Maciej A. Mazurowski, Roy J. Colglazier
2023	J	`jnl`	Multistep Automated Data Labelling Procedure (MADLaP) for thyroid nodules on ultrasound: An artificial intelligence approach for automating image annotation. Artif. Intell. Medicine Jikai Zhang, Maciej A. Mazurowski, Brian C. Allen, Benjamin Wildman-Tobriner
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	—	`conf`	SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs. MIDL Hanxue Gu, Hongyu He, Roy J. Colglazier, Jordan Axelrod, Robert French, Maciej A. Mazurowski
2023	J	`jnl`	SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs. CoRR Hanxue Gu, Hongyu He, Roy J. Colglazier, Jordan Axelrod, Robert French, Maciej A. Mazurowski
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	J	`jnl`	3D Pyramid Pooling Network for Abdominal MRI Series Classification. IEEE Trans. Pattern Anal. Mach. Intell. Zhe Zhu, Amber Mittendorf, Erin Shropshire, Brian C. Allen, Chad M. Miller, Mustafa R. Bashir, Maciej A. Mazurowski
2022	J	`jnl`	Anomaly Detection of Calcifications in Mammography Based on 11, 000 Negative Cases. IEEE Trans. Biomed. Eng. Rui Hou, Yifan Peng, Lars J. Grimm, Yinhao Ren, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2022	J	`jnl`	Automated Grading of Radiographic Knee Osteoarthritis Severity Combined with Joint Space Narrowing. CoRR Hanxue Gu, Keyu Li, Roy J. Colglazier, Jichen Yang, Michael Lebhar, Jonathan O'Donnell, William A. Jiranek, Richard C. Mather, Rob J. French, Nicholas Said, Jikai Zhang, Christine Park, Maciej A. Mazurowski
2022	J	`jnl`	Deep Learning for Classification of Thyroid Nodules on Ultrasound: Validation on an Independent Dataset. CoRR Jingxi Weng, Benjamin Wildman-Tobriner, Mateusz Buda, Jichen Yang, Lisa M. Ho, Brian C. Allen, Wendy L. Ehieli, Chad M. Miller, Jikai Zhang, Maciej A. Mazurowski
2022	J	`jnl`	Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists. CoRR Albert Swiecicki, Nianyi Li, Jonathan O'Donnell, Nicholas Said, Jichen Yang, Richard C. Mather, William A. Jiranek, 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	J	`jnl`	Multi-label annotation of text reports from computed tomography of the chest, abdomen, and pelvis using deep learning. BMC Medical Informatics Decis. Mak. Vincent M. D'Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo
2022	J	`jnl`	Multistep Automated Data Labelling Procedure (MADLaP) for Thyroid Nodules on Ultrasound: An Artificial Intelligence Approach for Automating Image Annotation. CoRR Jikai Zhang, Maciej A. Mazurowski, Brian C. Allen, Benjamin Wildman-Tobriner
2022	J	`jnl`	Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT. CoRR Fakrul Islam Tushar, Husam Nujaim, Wanyi Fu, Ehsan Abadi, Maciej A. Mazurowski, Ehsan Samei, William Paul Segars, Joseph Y. Lo
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
2022	J	`jnl`	Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography. CoRR Fakrul Islam Tushar, Ehsan Abadi, Saman Sotoudeh-Paima, Rafael B. Fricks, Maciej A. Mazurowski, William Paul Segars, Ehsan Samei, Joseph Y. Lo
2022	—	`conf`	Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography. Computer-Aided Diagnosis Fakrul Islam Tushar, Ehsan Abadi, Saman Sotoudeh-Paima, Rafael B. Fricks, Maciej A. Mazurowski, William Paul Segars, Ehsan Samei, Joseph Y. Lo
2021	J	`jnl`	Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists. Comput. Biol. Medicine Albert Swiecicki, Nianyi Li, Jonathan O'Donnell, Nicholas Said, Jichen Yang, Richard C. Mather, William A. Jiranek, Maciej A. Mazurowski
2021	—	`conf`	Deep neural networks trained for segmentation are sensitive to brightness changes: preliminary results. Computer-Aided Diagnosis Zhe Zhu, Mustafa R. Bashir, Maciej A. Mazurowski
2021	J	`jnl`	Do We Expect More from Radiology AI than from Radiologists? CoRR Maciej A. Mazurowski
2021	J	`jnl`	Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. Medical Image Anal. Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin
2021	—	`ed.`	Medical Imaging 2021: Computer-Aided Diagnosis, Online, February 15-20, 2021 Computer-Aided Diagnosis Maciej A. Mazurowski, Karen Drukker
2021	J	`jnl`	Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning. CoRR Vincent M. D'Anniballe, Fakrul Islam Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo
2021	J	`jnl`	Normalization of breast MRIs using cycle-consistent generative adversarial networks. Comput. Methods Programs Biomed. Gourav Modanwal, Adithya Vellal, 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
2020	—	`conf`	A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography. Computer-Aided Diagnosis Rui Hou, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2020	—	`conf`	Automatic Kellgren-Lawrence grade estimation driven deep learning algorithms. Computer-Aided Diagnosis Nianyi Li, Albert Swiecicki, Nicholas Said, Jonathan O'Donnell, William A. Jiranek, Maciej A. Mazurowski
2020	—	`conf`	Automatic estimation of knee joint space narrowing by deep learning segmentation algorithms. Computer-Aided Diagnosis Albert Swiecicki, Nicholas Said, Jonathan O'Donnell, Mateusz Buda, Nianyi Li, William A. Jiranek, Maciej A. Mazurowski
2020	J	`jnl`	Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5, 060 patients and a deep learning model. CoRR Mateusz Buda, Ashirbani Saha, Ruth Walsh, Sujata V. Ghate, Nianyi Li, Albert Swiecicki, Joseph Y. Lo, Maciej A. Mazurowski
2020	—	`conf`	Generative adversarial network-based image completion to identify abnormal locations in digital breast tomosynthesis images. Computer-Aided Diagnosis Albert Swiecicki, Mateusz Buda, Ashirbani Saha, Nianyi Li, Sujata V. Ghate, Ruth Walsh, Maciej A. Mazurowski
2020	—	`conf`	MRI image harmonization using cycle-consistent generative adversarial network. Computer-Aided Diagnosis Gourav Modanwal, Adithya Vellal, Mateusz Buda, Maciej A. Mazurowski
2020	J	`jnl`	Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes. CoRR Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin
2020	—	`ed.`	Medical Imaging 2020: Computer-Aided Diagnosis, Houston, TX, USA, February 16-19, 2020 Computer-Aided Diagnosis Horst K. Hahn, Maciej A. Mazurowski
2020	J	`jnl`	Prediction of Upstaged Ductal Carcinoma In Situ Using Forced Labeling and Domain Adaptation. IEEE Trans. Biomed. Eng. Rui Hou, Maciej A. Mazurowski, Lars J. Grimm, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2020	J	`jnl`	Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features. CoRR Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo
2020	J	`jnl`	Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans. CoRR Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Wanyi Fu, Ehsan Samei, Geoffrey D. Rubin, Joseph Y. Lo
2020	—	`conf`	Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features. Computer-Aided Diagnosis Anindo Saha, Fakrul Islam Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo
2019	J	`jnl`	Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm. Comput. Biol. Medicine Mateusz Buda, Ashirbani Saha, Maciej A. Mazurowski
2019	J	`jnl`	Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm. CoRR Mateusz Buda, Ashirbani Saha, Maciej A. Mazurowski
2019	—	`conf`	Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports. Computer-Aided Diagnosis Matias Benitez, James Tian, Mark Kelly, Vignesh Selvakumaran, Matthew Phelan, Maciej A. Mazurowski, Joseph Y. Lo, Geoffrey D. Rubin, Ricardo Henao
2019	J	`jnl`	Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. Comput. Biol. Medicine Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
2019	J	`jnl`	Deep learning for identifying radiogenomic associations in breast cancer. Comput. Biol. Medicine Zhe Zhu, Ehab AlBadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski
2019	J	`jnl`	Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics. IEEE Trans. Medical Imaging Jun Zhang, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski
2019	—	`conf`	Malignant microcalcification clusters detection using unsupervised deep autoencoders. Computer-Aided Diagnosis Rui Hou, Yinhao Ren, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2019	J	`jnl`	Normalization of breast MRIs using Cycle-Consistent Generative Adversarial Networks. CoRR Gourav Modanwal, Adithya Vellal, Maciej A. Mazurowski
2018	J	`jnl`	A systematic study of the class imbalance problem in convolutional neural networks. Neural Networks Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski
2018	—	`conf`	Association of high proliferation marker Ki-67 expression with DCEMR imaging features of breast: a large scale evaluation. Computer-Aided Diagnosis Ashirbani Saha, Michael R. Harowicz, Lars J. Grimm, Connie E. Kim, Ruth Walsh, Sujata V. Ghate, Maciej A. Mazurowski
2018	J	`jnl`	Automatic deep learning-based normalization of breast dynamic contrast-enhanced magnetic resonance images. CoRR Jun Zhang, Ashirbani Saha, Brian J. Soher, Maciej A. Mazurowski
2018	—	`conf`	Breast cancer molecular subtype classification using deep features: preliminary results. Computer-Aided Diagnosis Zhe Zhu, Ehab AlBadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski
2018	—	`conf`	Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression. Computer-Aided Diagnosis Jun Zhang, Elizabeth Hope Cain, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski
2018	—	`conf`	Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics. Computer-Aided Diagnosis Jun Zhang, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski
2018	—	`conf`	Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis. Computer-Aided Diagnosis Jun Zhang, Sujata V. Ghate, Lars J. Grimm, Ashirbani Saha, Elizabeth Hope Cain, Zhe Zhu, Maciej A. Mazurowski
2018	J	`jnl`	Deep learning in radiology: an overview of the concepts and a survey of the state of the art. CoRR Maciej A. Mazurowski, Mateusz Buda, Ashirbani Saha, Mustafa R. Bashir
2018	—	`conf`	Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data. Computer-Aided Diagnosis Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
2018	—	`conf`	Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features. Computer-Aided Diagnosis Rui Hou, Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2018	—	`conf`	Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning. Computer-Aided Diagnosis Bibo Shi, Rui Hou, Maciej A. Mazurowski, Lars J. Grimm, Yinhao Ren, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2017	J	`jnl`	A systematic study of the class imbalance problem in convolutional neural networks. CoRR Mateusz Buda, Atsuto Maki, Maciej A. Mazurowski
2017	—	`conf`	Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features? Computer-Aided Diagnosis Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2017	J	`jnl`	Deep Learning for identifying radiogenomic associations in breast cancer. CoRR Zhe Zhu, Ehab AlBadawy, Ashirbani Saha, Jun Zhang, Michael R. Harowicz, Maciej A. Mazurowski
2017	J	`jnl`	Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ. CoRR Zhe Zhu, Michael R. Harowicz, Jun Zhang, Ashirbani Saha, Lars J. Grimm, Eun-Sil Shelley Hwang, Maciej A. Mazurowski
2017	—	`conf`	Deep learning for segmentation of brain tumors: can we train with images from different institutions? Computer-Aided Diagnosis David Paredes, Ashirbani Saha, Maciej A. Mazurowski
2017	J	`jnl`	Effects of MRI scanner parameters on breast cancer radiomics. Expert Syst. Appl. Ashirbani Saha, Xiaozhi Yu, Dushyant Sahoo, Maciej A. Mazurowski
2017	—	`conf`	Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features. Computer-Aided Diagnosis Bibo Shi, Lars J. Grimm, Maciej A. Mazurowski, Jeffrey R. Marks, Lorraine M. King, Carlo C. Maley, Eun-Sil Shelley Hwang, Joseph Y. Lo
2017	—	`conf`	Radiogenomic analysis of lower grade glioma: a pilot multi-institutional study shows an association between quantitative image features and tumor genomics. Computer-Aided Diagnosis Maciej A. Mazurowski, Kal Clark, Nicholas M. Czarnek, Parisa Shamsesfandabadi, Katherine B. Peters, Ashirbani Saha
2016	J	`jnl`	A computer vision-based algorithm to predict false positive errors in radiology trainees when interpreting digital breast tomosynthesis cases. Expert Syst. Appl. Mengyu Wang, Meng Wang, Lars J. Grimm, Maciej A. Mazurowski
2016	—	`conf`	Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features. Image Perception, Observer Performance, and Technology Assessment Mengyu Wang, Jing Zhang, Lars J. Grimm, Sujata V. Ghate, Ruth Walsh, Karen S. Johnson, Joseph Y. Lo, Maciej A. Mazurowski
2016	J	`jnl`	Predicting false negative errors in digital breast tomosynthesis among radiology trainees using a computer vision-based approach. Expert Syst. Appl. Mengyu Wang, Jing Zhang, Lars J. Grimm, Sujata V. Ghate, Ruth Walsh, Karen S. Johnson, Joseph Y. Lo, Maciej A. Mazurowski
2016	—	`conf`	Predicting outcomes in glioblastoma patients using computerized analysis of tumor shape: preliminary data. Computer-Aided Diagnosis Maciej A. Mazurowski, Nicholas M. Czarnek, Leslie M. Collins, Katherine B. Peters, Kal Clark
2016	—	`conf`	Radiogenomics of glioblastoma: a pilot multi-institutional study to investigate a relationship between tumor shape features and tumor molecular subtype. Computer-Aided Diagnosis Nicholas M. Czarnek, Kal Clark, Katherine B. Peters, Leslie M. Collins, Maciej A. Mazurowski
2015	J	`jnl`	Modeling false positive error making patterns in radiology trainees for improved mammography education. J. Biomed. Informatics Jing Zhang, James I. Silber, Maciej A. Mazurowski
2013	J	`jnl`	Estimating confidence of individual rating predictions in collaborative filtering recommender systems. Expert Syst. Appl. Maciej A. Mazurowski
2012	J	`jnl`	The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support. Neural Networks Jordan M. Malof, Maciej A. Mazurowski, Georgia D. Tourassi
2011	J	`jnl`	Mutual information-based template matching scheme for detection of breast masses: From mammography to digital breast tomosynthesis. J. Biomed. Informatics Maciej A. Mazurowski, Joseph Y. Lo, Brian P. Harrawood, Georgia D. Tourassi
2010	—	`conf`	Perception-driven IT-CADe analysis for the detection of masses in screening mammography: initial investigation. Computer-Aided Diagnosis Georgia D. Tourassi, Maciej A. Mazurowski, Elizabeth A. Krupinski
2009	—	`conf`	A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results. Computer-Aided Diagnosis Maciej A. Mazurowski, Jordan M. Malof, Jacek M. Zurada, Georgia D. Tourassi
2009	J	`jnl`	Building virtual community in computational intelligence and machine learning [Research Frontier]. IEEE Comput. Intell. Mag. Jacek M. Zurada, Maciej A. Mazurowski, Rommohan Ragade, Artur Abdullin, Janusz Wojtusiak, James E. Gentle
2009	B	`conf`	Evaluating classifiers: Relation between area under the receiver operator characteristic curve and overall accuracy. IJCNN Maciej A. Mazurowski, Georgia D. Tourassi
2009	—	`conf`	Relational representation for improved decisions with an information-theoretic CADe system: initial experience. Computer-Aided Diagnosis Maciej A. Mazurowski, Georgia D. Tourassi
2009	B	`conf`	The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems. IJCNN Jordan M. Malof, Maciej A. Mazurowski, Georgia D. Tourassi
2008	B	`conf`	Computational intelligence virtual community: Framework and implementation issues. IJCNN Jacek M. Zurada, Janusz Wojtusiak, Fahmida Chowdhury, James E. Gentle, Cedric J. Jeannot, Maciej A. Mazurowski
2008	—	`conf`	Database decomposition of a knowledge-based CAD system in mammography: an ensemble approach to improve detection. Computer-Aided Diagnosis Maciej A. Mazurowski, Jacek M. Zurada, Georgia D. Tourassi
2008	—	`conf`	Reliability Assessment of Ensemble Classifiers: Application in Mammography. Digital Mammography / IWDM Maciej A. Mazurowski, Jacek M. Zurada, Georgia D. Tourassi
2008	J	`jnl`	Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance. Neural Networks Maciej A. Mazurowski, Piotr A. Habas, Jacek M. Zurada, Joseph Y. Lo, Jay A. Baker, Georgia D. Tourassi
2007	B	`conf`	Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms. IEEE Congress on Evolutionary Computation Maciej A. Mazurowski, Piotr A. Habas, Georgia D. Tourassi, Jacek M. Zurada
2007	B	`conf`	Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis. IJCNN Maciej A. Mazurowski, Piotr A. Habas, Georgia D. Tourassi, Jacek M. Zurada
2007	—	`conf`	Solving Multi-agent Control Problems Using Particle Swarm Optimization. SIS Maciej A. Mazurowski, Jacek M. Zurada
2007	B	`conf`	Solving decentralized multi-agent control problems with genetic algorithms. IEEE Congress on Evolutionary Computation Maciej A. Mazurowski, Jacek M. Zurada
2007	B	`conf`	Stacked Generalization in Computer-Assisted Decision Systems: Empirical Comparison of Data Handling Schemes. IJCNN Georgia D. Tourassi, Jonathan L. Jesneck, Maciej A. Mazurowski, Piotr A. Habas
2005	—	`conf`	Neural Network Sensitivity Analysis Applied for the Reduction of the Sensor Matrix. EUROCAST Przemyslaw Szecówka, Andrzej Szczurek, Maciej A. Mazurowski, Benedykt Licznerski, Franz Pichler