About Me

I am a researcher at Monash University in Australia and Head of Imaging Analysis at Monash Biomedical Imaging. [Monash Profile] [ORCID] [RG] [Google]

My main research areas are the development of novel MR and MR-PET methods including data acquisition, image reconstruction and multimodality data analysis, and application of machine learning in the medical imaging domain. I am also active in translating fundamental medical imaging development and scientific discoveries into real-world applications.

I am affiliated with the following organisations:

  • I am an ISMRM annual meeting committee member (2018-2021).

  • I am a member of the following societies: (i) IEEE EMBC, (ii) Society for Neuroscience, (iii) SNMMI, (iv) MICCAI.

  • Review Editor for Frontiers of Neuroscience.

  • Academic Editor for PLoS One

I review for a broad range of journals in biomedical imaging and image processing, and review for competitive grant schemes.

News

  • Two new PhD scholarship opportunity !! [link]

  • Congratulations Viswanath on a successful PhD defence seminar - excellent work fully recognised by exanimars!!

  • My webinar on Machine learning for biomedical image reconstruction. [link]

  • Succesful ARC DP project on Biophysics-informed deep learning framework for magnetic resonance imaging (# DP210101863) !!

  • Great to be part of this successful grant - ARDC, Australian Cancer Data Network: distributed learning from clinical data.

  • Congratulations on Viswanath's 2020 ISMRM Magna award!

Publications and Patents

A list of my publications are HERE.

MoCoNET:deep learning motion correction

Pawar K. et al. (2020) Suppressing Motion Artefacts in MRI using an Inception-Resnet Network with Motion Simulation Augmentation, NMR in Biomed. https://doi.org/10.1002/nbm.4225.

Pawar K. et al. (2020) Clinical Utility of Deep Learning Motion Correction for T1 weighted MPRAGE MR Images. European Journal of Radiology. 10.1016/j.ejrad.2020.109384

Pixel Classification for image reconstruction

Pawar K. et al. (2019) A Deep Learning Framework for Transforming Image Reconstruction into Pixel Classification. IEEE Access. https://ieeexplore.ieee.org/document/8931762

Low Dose PET imaging

Sudarshan, Upadhyay, et al (2021), Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data, Medical Image Analysis.



Multimodal functional MRI and functional PET Analysis models

Li, S et al (2020) Analysis of continuous infusion functional PET (fPET) in the human brain, NeuroImage. https://doi.org/10.1016/j.neuroimage.2020.116720

Li, S et al (2021), Estimation of simultaneous BOLD and dynamic FDG metabolic brain activations using a multimodality concatenated ICA (mcICA) method, NeuroImage, https://doi.org/10.1016/j.neuroimage.2020.117603

Sudarshan, P.S. et al (2021) Incorporation of anatomical MRI knowledge for enhanced mapping of brain metabolism using functional PET. NeuroImage.

Joint MRI and PET image reconstruction methods

Sudarshan, P.S. et al (2020) Joint MRI-PET image reconstruction using a joint dictionary, Medical Imaging Analysis. https://doi.org/10.1016/j.media.2020.101669

Sudarshan, P.S. et al (2018) Joint PET+MRI Patch-based Dictionary for Bayesian Random Field PET Reconstruction, 2018 International conference on medical image computing and Computer Assisted Intervention (MICCAI), Granada, September 16-20, 2018.

Deep learning MR-PET attenuation correction

Pozaruk, A. et al (2020) augmented deep learning model for improved quantitative accuracy of MR based PET attenuation correction in prostate cancer, European Journal of Nuclear Medicine and Molecular Imaging (EJNMMI). https://doi.org/10.1007/s00259-020-04816-9.

Application in ALS

Bhattarai, A. et al. MRI Iron Imaging in Amyotrophic Lateral Sclerosis, Journal of Magnetic Resonance Imaging, Nov 2020. https://doi.org/10.1002/jmri.27530

Bhattarai, A. et al. (2020) Serial assessment of iron in the motor cortex in limb-onset Amyotrophic Lateral Sclerosis using Quantitative Susceptibility Mapping, accepted Quant. Imaging Med. Surg (QIMS).

Review papers

Chen, Z et al (2018) From simultaneous to synergistic MR-PET brain imaging: a review of hybrid MR-PET imaging methodologies, Human Brain Mapping, 39(12):5126-5144, Dec 2018. https://doi.org/10.1002/hbm.24314


Bhattarai, A. et al. MRI Iron Imaging in Amyotrophic Lateral Sclerosis, Journal of Magnetic Resonance Imaging, Nov 2020. https://doi.org/10.1002/jmri.27530