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2020 – today
- 2024
[j5]Mevan Ekanayake
, Kamlesh Pawar, Mehrtash Harandi, Gary F. Egan, Zhaolin Chen:
McSTRA: A multi-branch cascaded swin transformer for point spread function-guided robust MRI reconstruction. Comput. Biol. Medicine 168: 107775 (2024)- [i5]Zhifeng Chen, Kamlesh Pawar, Kh Tohidul Islam, Himashi Peiris, Gary F. Egan, Zhaolin Chen:
Motion-Informed Deep Learning for Brain MR Image Reconstruction Framework. CoRR abs/2405.17756 (2024) - 2023
- [j4]Zhaolin Chen, Kamlesh Pawar, Mevan Ekanayake, Cameron Dennis Pain, Shenjun Zhong, Gary F. Egan:
Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging - State-of-the-Art and Challenges. J. Digit. Imaging 36(1): 204-230 (2023) - [i4]Mevan Ekanayake, Kamlesh Pawar, Gary F. Egan, Zhaolin Chen:
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification. CoRR abs/2303.00111 (2023) - 2022
- [i3]Mevan Ekanayake, Kamlesh Pawar, Mehrtash Harandi, Gary F. Egan, Zhaolin Chen:
Multi-head Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction. CoRR abs/2207.08412 (2022) - 2021
- [j3]Kamlesh Pawar, Gary F. Egan, Zhaolin Chen:
Domain knowledge augmentation of parallel MR image reconstruction using deep learning. Comput. Medical Imaging Graph. 92: 101968 (2021) - [c6]Kamlesh Pawar, Shenjun Zhong, Dilshan Sasanka Goonatillake, Gary F. Egan, Zhaolin Chen:
Orthogonal-Nets: A Large Ensemble of 2D Neural Networks for 3D Brain Tumor Segmentation. BrainLes@MICCAI (2) 2021: 54-67 - [c5]Kamlesh Pawar, Shenjun Zhong, Zhaolin Chen, Gary F. Egan:
Brain Tumor Segmentation Using Two-Stage Convolutional Neural Network for Federated Evaluation. BrainLes@MICCAI (2) 2021: 494-505 - [c4]Mina Ghaffari, Kamlesh Pawar, Ruth Oliver:
Brain MRI motion artifact reduction using 3D conditional generative adversarial networks on simulated motion. DICTA 2021: 1-7 - 2020
- [j2]Kamlesh Pawar, Zhaolin Chen, Jingxin Zhang, N. Jon Shah, Gary F. Egan:
Application of compressed sensing using chirp encoded 3D GRE and MPRAGE sequences. Int. J. Imaging Syst. Technol. 30(3): 592-604 (2020)
2010 – 2019
- 2019
- [j1]Kamlesh Pawar, Zhaolin Chen, N. Jon Shah, Gary F. Egan:
A Deep Learning Framework for Transforming Image Reconstruction Into Pixel Classification. IEEE Access 7: 177690-177702 (2019) - [c3]Kamlesh Pawar, Zhaolin Chen, N. Jon Shah, Gary F. Egan:
An Ensemble of 2D Convolutional Neural Network for 3D Brain Tumor Segmentation. BrainLes@MICCAI (1) 2019: 359-367 - 2018
- [i2]Kamlesh Pawar, Zhaolin Chen, N. Jon Shah, Gary F. Egan:
MoCoNet: Motion Correction in 3D MPRAGE images using a Convolutional Neural Network approach. CoRR abs/1807.10831 (2018) - 2017
- [c2]Kamlesh Pawar, Zhaolin Chen, N. Jon Shah, Gary F. Egan:
Residual Encoder and Convolutional Decoder Neural Network for Glioma Segmentation. BrainLes@MICCAI 2017: 263-273 - 2014
- [i1]Kamlesh Pawar, Gary F. Egan, Jingxin Zhang:
Multichannel Compressive Sensing MRI Using Noiselet Encoding. CoRR abs/1407.5536 (2014) - 2013
- [c1]Kamlesh Pawar, Gary F. Egan, Jingxin Zhang:
Accelerating k-t sparse using k-space aliasing for dynamic MRI imaging. EMBC 2013: 2619-2623
Coauthor Index
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