Effect of combination and number of b values in IVIM analysis with post-processing methodology: simulation and clinical studyArchana Malagi, Amit Mehndiratta, Chandan J. Das et al.|Magnetic Resonance Materials in Physics Biology and Medicine|2019Cited by 29
IVIM–DKI for differentiation between prostate cancer and benign prostatic hyperplasia: comparison of 1.5 T vs. 3 T MRIArchana Malagi, Amit Mehndiratta, Arjunlokesh Netaji et al.|Magnetic Resonance Materials in Physics Biology and Medicine|2021Cited by 28
Pancreatic Mass Characterization Using IVIM-DKI MRI and Machine Learning-Based Multi-Parametric Texture AnalysisArchana Malagi, Amit Mehndiratta, Sivachander Shivaji et al.|Bioengineering|2023Cited by 14
Intravoxel incoherent motion and diffusion kurtosis imaging and their machine‐learning‐based texture analysis for detection and assessment of prostate cancer severity at 3 TChandan J. Das, Arun Kumar Gupta, Amit Mehndiratta et al.|NMR in Biomedicine|2024Cited by 8
IVIM-DKI with parametric reconstruction method for lymph node evaluation and characterization in lymphoma: A preliminary study comparison with FDG-PET/CTArchana Malagi, Amit Mehndiratta, Devasenathipathy Kandasamy et al.|Results in Engineering|2023Cited by 5