Maciej A Mazurowski (M A Mazurowski, Maciej Mazurowski)

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 12

Top Topics

Cognitive Impairment

Electron Transfer

Top Venues

Radiology. Artificial intelligence

Journal of digital imaging

Abdominal radiology (New York)

This page only lists publications with an associated author ORCID identifier.

Publications

Jacob A Macdonald, Zhe Zhu, Brandon Konkel, Maciej A Mazurowski, Walter F Wiggins, Mustafa R Bashir
Duke Liver Dataset: A Publicly Available Liver MRI Dataset with Liver Segmentation Masks and Series Labels. Radiology. Artificial intelligence 5 (5) (2023)
Christopher O Lew, Longfei Zhou, Maciej A Mazurowski, P Murali Doraiswamy, Jeffrey R Petrella, null null
MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum. Radiology 309 (1) (2023)
Rui Hou, Lars J Grimm, Maciej A Mazurowski, Jeffrey R Marks, Lorraine M King, Carlo C Maley, Thomas Lynch, Marja van Oirsouw, Keith Rogers, Nicholas Stone, Matthew G Wallis, Jonas Teuwen, Jelle Wesseling, E Shelley Hwang, Joseph Y Lo
Prediction of Upstaging in Ductal Carcinoma in Situ Based on Mammographic Radiomic Features. Radiology 303 (1) (2022)
Shixing Cao, Nicholas Konz, James S Duncan, Maciej A Mazurowski
Deep Learning for Breast MRI Style Transfer with Limited Training Data. Journal of digital imaging (2022)
Shixing Cao, Nicholas Konz, James S Duncan, Maciej A Mazurowski
Deep Learning for Breast MRI Style Transfer with Limited Training Data. Journal of digital imaging 36 (2) (2022)
Fakrul Islam Tushar, Vincent M D'Anniballe, Rui Hou, Maciej A Mazurowski, Wanyi Fu, Ehsan Samei, Geoffrey D Rubin, Joseph Y Lo
Classification of Multiple Diseases on Body CT Scans Using Weakly Supervised Deep Learning. Radiology. Artificial intelligence 4 (1) (2021)
Maciej A Mazurowski
Do We Expect More from Radiology AI than from Radiologists? Radiology. Artificial intelligence 3 (4) (2021)
Mateusz Buda, Ehab A AlBadawy, Ashirbani Saha, Maciej A Mazurowski
Deep Radiogenomics of Lower-Grade Gliomas: Convolutional Neural Networks Predict Tumor Genomic Subtypes Using MR Images. Radiology. Artificial intelligence 2 (1) (2020)
Mateusz Buda, Benjamin Wildman-Tobriner, Jenny K Hoang, David Thayer, Franklin N Tessler, William D Middleton, Maciej A Mazurowski
Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists. Radiology 292 (3) (2019)
Benjamin Wildman-Tobriner, Mateusz Buda, Jenny K Hoang, William D Middleton, David Thayer, Ryan G Short, Franklin N Tessler, Maciej A Mazurowski
Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility. Radiology 292 (1) (2019)
Michael S Enslow, Stephen R Preece, Benjamin Wildman-Tobriner, Ryan A Enslow, Maciej A Mazurowski, Rendon C Nelson
Splenic contraction: a new member of the hypovolemic shock complex. Abdominal radiology (New York) 43 (9) (2019)
T P Tanpitukpongse, Maciej A Mazurowski, J Ikhena, Jeffrey R Petrella, null null
Predictive Utility of Marketed Volumetric Software Tools in Subjects at Risk for Alzheimer Disease: Do Regions Outside the Hippocampus Matter? AJNR. American journal of neuroradiology 38 (3) (2017)