Mathews Jacob
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Explore the profile of Mathews Jacob including associated specialties, affiliations and a list of published articles.
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129
Citations
1368
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Recent Articles
1.
Ghorbani R, Chand J, Lee C, Jacob M, Mani M
ArXiv
. 2025 Feb;
PMID: 39975424
Three-dimensional (3D) multi-slab acquisition is a technique frequently employed in high-resolution diffusion-weighted MRI in order to achieve the best signal-to-noise ratio (SNR) efficiency. However, this technique is limited by slab...
2.
Dogra S, Misra P, Bedi T, Jacob M
Med J Armed Forces India
. 2024 Dec;
80(Suppl 1):S288-S291.
PMID: 39734879
Taenia solium is a parasite and is endemic in the developing countries due to various unhygienic faecal practices. The disseminated form is commoner with the brain being the most common...
3.
Malhotra R, Singh S, Dua A, Jacob M
Neurol India
. 2024 Aug;
72(4):903-904.
PMID: 39216062
No abstract available.
4.
Heckel R, Jacob M, Chaudhari A, Perlman O, Shimron E
MAGMA
. 2024 Jul;
37(3):335-368.
PMID: 39042206
Deep learning (DL) has recently emerged as a pivotal technology for enhancing magnetic resonance imaging (MRI), a critical tool in diagnostic radiology. This review paper provides a comprehensive overview of...
5.
Chen Y, Holmes J, Corum C, Magnotta V, Jacob M
Proc IEEE Int Symp Biomed Imaging
. 2024 May;
2023.
PMID: 38738186
Recent quantitative parameter mapping methods including MR fingerprinting (MRF) collect a time series of images that capture the evolution of magnetization. The focus of this work is to introduce a...
6.
Pramanik A, Jacob M
Proc IEEE Int Symp Biomed Imaging
. 2024 May;
2023.
PMID: 38738185
Model-based deep learning methods that combine imaging physics with learned regularization priors have been emerging as powerful tools for parallel MRI acceleration. The main focus of this paper is to...
7.
Kettelkamp J, Romanin L, Piccini D, Priya S, Jacob M
Med Image Comput Comput Assist Interv
. 2024 May;
14229:419-427.
PMID: 38737212
We propose an unsupervised deep learning algorithm for the motion-compensated reconstruction of 5D cardiac MRI data from 3D radial acquisitions. Ungated free-breathing 5D MRI simplifies the scan planning, improves patient...
8.
Rusho R, Ahmed A, Kruger S, Alam W, Meyer D, Howard D, et al.
NMR Biomed
. 2024 Mar;
37(8):e5135.
PMID: 38440911
This work develops and evaluates a self-navigated variable density spiral (VDS)-based manifold regularization scheme to prospectively improve dynamic speech magnetic resonance imaging (MRI) at 3 T. Short readout duration spirals...
9.
ComBat Harmonization of Myocardial Radiomic Features Sensitive to Cardiac MRI Acquisition Parameters
Priya S, Dhruba D, Sorensen E, Aher P, Narayanasamy S, Nagpal P, et al.
Radiol Cardiothorac Imaging
. 2023 Sep;
5(4):e220312.
PMID: 37693205
Purpose: To investigate the effect of ComBat harmonization methods on the robustness of cardiac MRI-derived radiomic features to variations in imaging parameters. Materials And Methods: This Health Insurance Portability and...
10.
Priya S, Dhruba D, Perry S, Aher P, Gupta A, Nagpal P, et al.
Acad Radiol
. 2023 Aug;
31(2):503-513.
PMID: 37541826
Rationale And Objectives: Cardiac magnetic resonance imaging is crucial for diagnosing cardiovascular diseases, but lengthy postprocessing and manual segmentation can lead to observer bias. Deep learning (DL) has been proposed...