Michael A. Jacobs
Orcid: 0000-0002-1125-1644Affiliations:
- Johns Hopkins University, Department of Radiology, Baltimore, MD; USA
According to our database1,
Michael A. Jacobs
authored at least 23 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Aerosp. Electron. Syst., February, 2024
2023
A framework for dynamically training and adapting deep reinforcement learning models to different, low-compute, and continuously changing radiology deployment environments.
CoRR, 2023
CoRR, 2023
Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging.
CoRR, 2023
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging.
Proceedings of the Medical Imaging with Deep Learning, 2023
2021
2020
Multitask radiological modality invariant landmark localization using deep reinforcement learning.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
2019
Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy: Preliminary Results.
CoRR, 2019
Multiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary Results.
CoRR, 2019
CoRR, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Advanced machine learning informatics modeling using clinical and radiological imaging metrics for characterizing breast tumor characteristics with the OncotypeDX gene array.
CoRR, 2018
DreamNLP: Novel NLP System for Clinical Report Metadata Extraction using Count Sketch Data Streaming Algorithm: Preliminary Results.
CoRR, 2018
Multiparametric Deep Learning Tissue Signatures for a Radiological Biomarker of Breast Cancer: Preliminary Results.
CoRR, 2018
2016
Unsupervised Non Linear Dimensionality Reduction Machine Learning methods applied to Multiparametric MRI in cerebral ischemia: Preliminary Results.
CoRR, 2016
A multidimensional data visualization and clustering method: Consensus similarity mapping.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2014
Unsupervised nonlinear dimensionality reduction machine learning methods applied to multiparametric MRI in cerebral ischemia: preliminary results.
Proceedings of the Medical Imaging 2014: Image Processing, 2014
2011
Finding the Optimal Compression Level for Strain-Encoded (SENC) Breast MRI; Simulations and Phantom Experiments.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2003
Volume-Preserving Non-Rigid Registration of MR Breast Images Using Free-Form Deformation with an Incompressibility Constraint.
IEEE Trans. Medical Imaging, 2003
An Alternating-Constraints Algorithm for Volume-Preserving Non-rigid Registration of Contrast-Enhanced MR Breast Images.
Proceedings of the Biomedical Image Registration, Second International Workshop, 2003
Volumenerhaltende elastische Registrierung. Evaluierung mit klinischen MR-Mammographien.
Proceedings of the Bildverarbeitung für die Medizin 2003, Algorithmen - Systeme, 2003
2000
Proceedings of the Medical Imaging 2000: Image Processing, 2000