Accelerating k-t sparse using k-space aliasing for dynamic MRI imaging. - Kamlesh Pawar; Gary F. Egan; Jingxin Zhang 001 (EMBC, 2013)

Multichannel Compressive Sensing MRI Using Noiselet Encoding. - Kamlesh Pawar; Gary F. Egan; Jingxin Zhang 001 (CoRR, 2014)

Residual Encoder and Convolutional Decoder Neural Network for Glioma Segmentation. - Kamlesh Pawar; Zhaolin Chen; N. Jon Shah; Gary F. Egan (BrainLes@MICCAI, 2017)

MoCoNet: Motion Correction in 3D MPRAGE images using a Convolutional Neural Network approach. - Kamlesh Pawar; Zhaolin Chen; N. Jon Shah; Gary F. Egan (CoRR, 2018)

An Ensemble of 2D Convolutional Neural Network for 3D Brain Tumor Segmentation. - Kamlesh Pawar; Zhaolin Chen; N. Jon Shah; Gary F. Egan (BrainLes@MICCAI (1), 2019)

A Deep Learning Framework for Transforming Image Reconstruction Into Pixel Classification. - Kamlesh Pawar; Zhaolin Chen; N. Jon Shah; Gary F. Egan (IEEE Access, 2019)

Application of compressed sensing using chirp encoded 3D GRE and MPRAGE sequences. - Kamlesh Pawar; Zhaolin Chen; Jingxin Zhang 001; N. Jon Shah; Gary F. Egan (Int. J. Imaging Syst. Technol., 2020)

Brain Tumor Segmentation Using Two-Stage Convolutional Neural Network for Federated Evaluation. - Kamlesh Pawar; Shenjun Zhong; Zhaolin Chen; Gary F. Egan (BrainLes@MICCAI (2), 2021)

Orthogonal-Nets: A Large Ensemble of 2D Neural Networks for 3D Brain Tumor Segmentation. - Kamlesh Pawar; Shenjun Zhong; Dilshan Sasanka Goonatillake; Gary F. Egan; Zhaolin Chen (BrainLes@MICCAI (2), 2021)

Brain MRI motion artifact reduction using 3D conditional generative adversarial networks on simulated motion. - Mina Ghaffari; Kamlesh Pawar; Ruth Oliver (DICTA, 2021)

Domain knowledge augmentation of parallel MR image reconstruction using deep learning. - Kamlesh Pawar; Gary F. Egan; Zhaolin Chen (Comput. Medical Imaging Graph., 2021)

Multi-head Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction. - Mevan Ekanayake; Kamlesh Pawar; Mehrtash Harandi; Gary F. Egan; Zhaolin Chen (CoRR, 2022)

PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification. - Mevan Ekanayake; Kamlesh Pawar; Gary F. Egan; Zhaolin Chen (CoRR, 2023)

Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging - State-of-the-Art and Challenges. - Zhaolin Chen; Kamlesh Pawar; Mevan Ekanayake; Cameron Dennis Pain; Shenjun Zhong; Gary F. Egan (J. Digit. Imaging, 2023)

Motion-Informed Deep Learning for Brain MR Image Reconstruction Framework. - Zhifeng Chen; Kamlesh Pawar; Kh Tohidul Islam; Himashi Peiris; Gary F. Egan; Zhaolin Chen (CoRR, 2024)

McSTRA: A multi-branch cascaded swin transformer for point spread function-guided robust MRI reconstruction. - Mevan Ekanayake; Kamlesh Pawar; Mehrtash Harandi; Gary F. Egan; Zhaolin Chen (Comput. Biol. Medicine, 2024)