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Kamlesh Pawar
Kamlesh Pawar
Senior Scientist - Machine Learning, Seeing Machines
Verified email at monash.edu
Title
Cited by
Cited by
Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
21652018
Deep learning for image enhancement and correction in magnetic resonance imaging—state-of-the-art and challenges
Z Chen, K Pawar, M Ekanayake, C Pain, S Zhong, GF Egan
Journal of Digital Imaging 36 (1), 204-230, 2023
1042023
Suppressing motion artefacts in MRI using an Inception‐ResNet network with motion simulation augmentation
K Pawar, Z Chen, NJ Shah, GF Egan
NMR in Biomedicine 35 (4), e4225, 2022
652022
Motion correction in MRI using deep convolutional neural network
K Pawar, Z Chen, NJ Shah, GF Egan
Proceedings of the ISMRM Scientific Meeting & Exhibition, Paris 1174, 2018
512018
Augmented deep learning model for improved quantitative accuracy of MR-based PET attenuation correction in PSMA PET-MRI prostate imaging
A Pozaruk, K Pawar, S Li, A Carey, J Cheng, VP Sudarshan, M Cholewa, ...
European Journal of Nuclear Medicine and Molecular Imaging 48, 9-20, 2021
372021
Multichannel compressive sensing MRI using noiselet encoding
K Pawar, G Egan, J Zhang
PloS one 10 (5), e0126386, 2015
362015
Biomedical image analysis competitions: The state of current participation practice
M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ...
arXiv preprint arXiv:2212.08568, 2022
342022
MoCoNet: motion correction in 3D MPRAGE images using a convolutional neural network approach
K Pawar, Z Chen, NJ Shah, GF Egan
arXiv preprint arXiv:1807.10831, 2018
272018
Residual encoder and convolutional decoder neural network for glioma segmentation
K Pawar, Z Chen, NJ Shah, G Egan
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
262018
A deep learning framework for transforming image reconstruction into pixel classification
K Pawar, Z Chen, NJ Shah, GF Egan
IEEE access 7, 177690-177702, 2019
252019
McSTRA: A multi-branch cascaded swin transformer for point spread function-guided robust MRI reconstruction
M Ekanayake, K Pawar, M Harandi, G Egan, Z Chen
Computers in Biology and Medicine 168, 107775, 2024
18*2024
Clinical utility of deep learning motion correction for T1 weighted MPRAGE MR images
K Pawar, Z Chen, J Seah, M Law, T Close, G Egan
European Journal of Radiology 133, 109384, 2020
172020
Domain knowledge augmentation of parallel MR image reconstruction using deep learning
K Pawar, GF Egan, Z Chen
Computerized Medical Imaging and Graphics 92, 101968, 2021
162021
An ensemble of 2D convolutional neural network for 3D brain tumor segmentation
K Pawar, Z Chen, N Jon Shah, GF Egan
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
92020
Application of compressed sensing using chirp encoded 3D GRE and MPRAGE sequences
K Pawar, Z Chen, J Zhang, NJ Shah, GF Egan
International journal of imaging systems and technology 30 (3), 592-604, 2020
82020
Brain MRI motion artifact reduction using 3D conditional generative adversarial networks on simulated motion
M Ghaffari, K Pawar, R Oliver
2021 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2021
72021
Orthogonal-Nets: A Large Ensemble of 2D Neural Networks for 3D Brain Tumor Segmentation
K Pawar, S Zhong, DS Goonatillake, G Egan, Z Chen
International MICCAI Brainlesion Workshop, 54-67, 2021
62021
ReconNet: a deep learning framework for transforming image reconstruction into pixel classification
K Pawar, Z Chen, N Shah, G Egan
Proceedings of the 26th Annual Meeting of ISMRM, Paris, France, 0574, 2018
4*2018
Method and system of image reconstruction for magnetic resonance imaging
K Pawar, Z Chen, NJ Shah, GF Egan
US Patent 11,954,823, 2024
32024
Enforcing structural similarity in deep learning MR image reconstruction
K Pawar, Z Chen, J Shah, G Egan
Enforcing Structural Similarity in Deep Learning MR Image …, 2019
32019
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