Shaihan Malik

Shaihan Malik

King's College

H-index: 27

North America-United States

About Shaihan Malik

Shaihan Malik, With an exceptional h-index of 27 and a recent h-index of 22 (since 2020), a distinguished researcher at King's College, specializes in the field of Magnetic Resonance Imaging, Parallel Transmission, quantitative MRI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Non-idealized system (NIS) optimization of EPI sequences at ultra-high field

In vivo T2 measurements of the fetal brain using single‐shot fast spin echo sequences

MR sequence design using digital twins of non-idealized hardware

High resolution and contrast 7 tesla MR brain imaging of the neonate

Rapid and accurate navigators for motion and B0 tracking using QUEEN: Quantitatively enhanced parameter estimation from navigators

Estimating variations in SAR calculations due to within-scan patient motion using cGANs for parallel RF transmission at ultrahigh field MRI

Reliability and feasibility of low-field-strength fetal MRI at 0.55 T during pregnancy

Quantitative T2 Relaxometry in Fetal Brain: Validation Using Modified FaBiaN Fetal Brain MRI Simulator

Shaihan Malik Information

University

Position

___

Citations(all)

2448

Citations(since 2020)

1722

Cited By

1279

hIndex(all)

27

hIndex(since 2020)

22

i10Index(all)

49

i10Index(since 2020)

42

Email

University Profile Page

Google Scholar

Shaihan Malik Skills & Research Interests

Magnetic Resonance Imaging

Parallel Transmission

quantitative MRI

Top articles of Shaihan Malik

Non-idealized system (NIS) optimization of EPI sequences at ultra-high field

2024/5

In vivo T2 measurements of the fetal brain using single‐shot fast spin echo sequences

Magnetic resonance in medicine

2024/4/16

MR sequence design using digital twins of non-idealized hardware

arXiv preprint arXiv:2403.17575

2024/3/26

High resolution and contrast 7 tesla MR brain imaging of the neonate

Frontiers in Radiology

2024/1/18

Rapid and accurate navigators for motion and B0 tracking using QUEEN: Quantitatively enhanced parameter estimation from navigators

Magnetic Resonance in Medicine

2024/1/3

Estimating variations in SAR calculations due to within-scan patient motion using cGANs for parallel RF transmission at ultrahigh field MRI

2024

Shaihan Malik
Shaihan Malik

H-Index: 18

Emre Kopanoglu
Emre Kopanoglu

H-Index: 6

Reliability and feasibility of low-field-strength fetal MRI at 0.55 T during pregnancy

Radiology

2023/10/17

Quantitative T2 Relaxometry in Fetal Brain: Validation Using Modified FaBiaN Fetal Brain MRI Simulator

2023/10/12

618 Widespread, depth-dependent microstructural alterations in the cortex of children with drug-resistant focal epilepsy: a quantitative T1 and T2 mapping study

2023/7/1

Tobias C Wood
Tobias C Wood

H-Index: 12

Shaihan Malik
Shaihan Malik

H-Index: 18

823 Ultra-high field 7 Tesla Magnetic Resonance Brain Imaging in Neonates: feasibility studies

2023/7/1

Towards applying deep learning to predict rigid motion-induced changes in Q-matrices from UHF-MRI pTx simulations

2023/6/6

Shaihan Malik
Shaihan Malik

H-Index: 18

Emre Kopanoglu
Emre Kopanoglu

H-Index: 6

Reliability and safety of anaesthetic equipment around an high-field 7-Tesla MRI scanner

British Journal of Anaesthesia

2023/6/1

Overcoming system imperfections using end-to-end MR sequence design

2023/5

Method of operating a magnetic resonance scanner

2023/3/30

Simultaneous Optimization of MP2RAGE T1‐weighted (UNI) and FLuid And White matter Suppression (FLAWS) brain images at 7T using Extended Phase Graph …

Magnetic Resonance in Medicine

2023/3

In vivo T1 mapping of neonatal brain tissue at 64 mT

Magnetic resonance in medicine

2023/3

Exploration of the potential of high resolution and contrast 7 Tesla MR brain imaging in neonates

medRxiv

2023

High-resolution T1-, T2-, and T2*-weighted anatomical imaging

2023/1/1

Universal pulses for homogeneous excitation using single channel coils

Magnetic resonance imaging

2022/10/1

Towards an integrated neonatal brain and cardiac examination capability at 7 T: electromagnetic field simulations and early phantom experiments using an 8-channel dipole array

Magnetic Resonance Materials in Physics, Biology and Medicine

2022/10/1

See List of Professors in Shaihan Malik University(King's College)

Co-Authors

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