Kamlesh Pawar

Orcid: 0000-0001-6199-2312

According to our database1, Kamlesh Pawar authored at least 15 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
McSTRA: A multi-branch cascaded swin transformer for point spread function-guided robust MRI reconstruction.
Comput. Biol. Medicine, January, 2024

2023
Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging - State-of-the-Art and Challenges.
J. Digit. Imaging, February, 2023

PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification.
CoRR, 2023

2022
Multi-head Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction.
CoRR, 2022

2021
Domain knowledge augmentation of parallel MR image reconstruction using deep learning.
Comput. Medical Imaging Graph., 2021

Brain MRI motion artifact reduction using 3D conditional generative adversarial networks on simulated motion.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Orthogonal-Nets: A Large Ensemble of 2D Neural Networks for 3D Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Brain Tumor Segmentation Using Two-Stage Convolutional Neural Network for Federated Evaluation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Application of compressed sensing using chirp encoded 3D GRE and MPRAGE sequences.
Int. J. Imaging Syst. Technol., 2020

2019
A Deep Learning Framework for Transforming Image Reconstruction Into Pixel Classification.
IEEE Access, 2019

An Ensemble of 2D Convolutional Neural Network for 3D Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
MoCoNet: Motion Correction in 3D MPRAGE images using a Convolutional Neural Network approach.
CoRR, 2018

2017
Residual Encoder and Convolutional Decoder Neural Network for Glioma Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

2014
Multichannel Compressive Sensing MRI Using Noiselet Encoding.
CoRR, 2014

2013
Accelerating k-t sparse using k-space aliasing for dynamic MRI imaging.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013


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