Kamlesh Pawar - Concepedia

Author

Kamlesh Pawar

Monash University ORCID

Also Known As

Kamlesh Pawar, Pawar, Kamlesh

Publications

638

Citations

H-Index

Concepts

All Affiliations

Monash University ARC Centre of Excellence for Integrative Brain Function Indian Institute of Technology Bombay Monash Health

About

Kamlesh Pawar is an author at Monash University specializing in engineering, medical imaging, and medical image computing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	133
2	Health Sciences	4	4	94
3	Medicine	1	1	17
4	Public Health	1	1	17
5	Biomedical Engineering	1	1	24

Kamlesh Pawar

Publications

413

Citations

H-Index

Page 1

	Year	Citations
Multichannel Compressive Sensing MRI Using Noiselet Encoding Kamlesh Pawar, Gary F. Egan, Jingxin Zhang PLoS ONE	2015	212
Suppressing motion artefacts in MRI using an Inception‐ResNet network with motion simulation augmentation Kamlesh Pawar, Zhaolin Chen, N. Jon Shah, NMR in Biomedicine	2019	68
Augmented deep learning model for improved quantitative accuracy of MR-based PET attenuation correction in PSMA PET-MRI prostate imaging Andrii Pozaruk, Kamlesh Pawar, Shenpeng Li, European Journal of Nuclear Medicine and Molecular Imaging UrologyEngineeringMedical ImagingDeep LearningPet-mri	2020	39
McSTRA: A multi-branch cascaded swin transformer for point spread function-guided robust MRI reconstruction M.M. Ekanayake, Kamlesh Pawar, Mehrtash Harandi, Computers in Biology and Medicine Image ReconstructionConvolutional Neural NetworkEngineeringAutoencodersAdvanced Imaging	2023	24
A Deep Learning Framework for Transforming Image Reconstruction Into Pixel Classification Kamlesh Pawar, Zhaolin Chen, N. Jon Shah, IEEE Access Convolutional Neural NetworkEngineeringMachine LearningAutoencodersImage Classification	2019	22
Clinical utility of deep learning motion correction for T1 weighted MPRAGE MR images Kamlesh Pawar, Zhaolin Chen, Jarrel Seah, European Journal of Radiology EngineeringMedical ImagingDeep LearningClinical UtilityMprage Mr Images	2020	17
Biomedical image analysis competitions: The state of current participation practice Matthias Eisenmann, Annika Reinke, Vivienn Weru, arXiv (Cornell University) Artificial IntelligenceInternational Benchmarking CompetitionsEngineeringMachine LearningMachine Learning Tool	2022	17
Domain knowledge augmentation of parallel MR image reconstruction using deep learning Kamlesh Pawar, Gary F. Egan, Zhaolin Chen Computerized Medical Imaging and Graphics Data AugmentationImage ReconstructionImage AnalysisMachine LearningMedical Imaging	2021	14

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