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ORCIDGary F. Egan
- > Home > Persons > Gary F. Egan
Publications
- 2024
[j60]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)- [c25]Mevan Ekanayake, Zhifeng Chen, Mehrtash Harandi, Gary F. Egan, Zhaolin Chen:
Improving Deep Learning MRI Reconstruction with Contrastive Learning Pretraining. ISBI 2024: 1-4 - [c24]Cameron Pain, Gary F. Egan, Zhaolin Chen:
Low-Dose Pet Image Reconstruction Using Self-Supervised Deep Kernel Representations Learned from MR. ISBI 2024: 1-4 - [i11]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
- [j59]Zhaolin Chen, Kamlesh Pawar, Mevan Ekanayake, Cameron 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) - [j58]Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation. Nat. Mac. Intell. 5(7): 724-738 (2023) - [i10]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) - [i9]Mevan Ekanayake, Zhifeng Chen, Gary F. Egan, Mehrtash Harandi, Zhaolin Chen:
Contrastive Learning MRI Reconstruction. CoRR abs/2306.00530 (2023) - 2022
- [j54]Shenjun Zhong, Zhaolin Chen, Gary F. Egan:
Auto-encoded Latent Representations of White Matter Streamlines for Quantitative Distance Analysis. Neuroinformatics 20(4): 1105-1120 (2022) - [c23]Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2022: 173-182 - [c22]Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation. MICCAI (5) 2022: 162-172 - [i8]Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task. CoRR abs/2201.03777 (2022) - [i7]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) - [i6]Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation. CoRR abs/2209.07704 (2022) - 2021
- [j53]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) - [j52]Viswanath P. Sudarshan, Uddeshya Upadhyay, Gary F. Egan, Zhaolin Chen, Suyash P. Awate:
Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data. Medical Image Anal. 73: 102187 (2021) - [j51]Shenpeng Li, Sharna D. Jamadar, Phillip G. D. Ward, Gary F. Egan, Zhaolin Chen:
Estimation of simultaneous BOLD and dynamic FDG metabolic brain activations using a multimodality concatenated ICA (mcICA) method. NeuroImage 226: 117603 (2021) - [j49]Viswanath P. Sudarshan, Shenpeng Li, Sharna D. Jamadar, Gary F. Egan, Suyash P. Awate, Zhaolin Chen:
Incorporation of anatomical MRI knowledge for enhanced mapping of brain metabolism using functional PET. NeuroImage 233: 117928 (2021) - [c21]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 - [c20]Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task. BrainLes@MICCAI (1) 2021: 171-181 - [c19]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 - [c18]Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Duo-SegNet: Adversarial Dual-Views for Semi-supervised Medical Image Segmentation. MICCAI (2) 2021: 428-438 - [i5]Viswanath P. Sudarshan, Uddeshya Upadhyay, Gary F. Egan, Zhaolin Chen, Suyash P. Awate:
Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data. CoRR abs/2107.09892 (2021) - [i4]Himashi Peiris, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation. CoRR abs/2108.11154 (2021) - [i3]Himashi Peiris, Munawar Hayat, Zhaolin Chen, Gary F. Egan, Mehrtash Harandi:
A Volumetric Transformer for Accurate 3D Tumor Segmentation. CoRR abs/2111.13300 (2021) - 2020
- [j47]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) - [j46]Viswanath P. Sudarshan, Gary F. Egan, Zhaolin Chen, Suyash P. Awate:
Joint PET-MRI image reconstruction using a patch-based joint-dictionary prior. Medical Image Anal. 62: 101669 (2020) - [j45]Shenpeng Li, Sharna D. Jamadar, Phillip G. D. Ward, Malin Premaratne, Gary F. Egan, Zhaolin Chen:
Analysis of continuous infusion functional PET (fPET) in the human brain. NeuroImage 213: 116720 (2020) - [j43]Thomas G. Close, Phillip G. D. Ward, Francesco Sforazzini, Wojtek Goscinski, Zhaolin Chen, Gary F. Egan:
A Comprehensive Framework to Capture the Arcana of Neuroimaging Analysis. Neuroinformatics 18(1): 109-129 (2020) - 2019
- [j42]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) - [j41]Sharna D. Jamadar, Phillip G. D. Ward, Shenpeng Li, Francesco Sforazzini, Jakub Baran, Zhaolin Chen, Gary F. Egan:
Simultaneous task-based BOLD-fMRI and [18-F] FDG functional PET for measurement of neuronal metabolism in the human visual cortex. NeuroImage 189: 258-266 (2019) - [c17]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 - [c16]Viswanath P. Sudarshan, Kratika Gupta, Gary F. Egan, Zhaolin Chen, Suyash P. Awate:
Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework. MICCAI (3) 2019: 39-47 - 2018
- [j40]Jakub Baran, Zhaolin Chen, Francesco Sforazzini, Nicholas J. Ferris, Sharna D. Jamadar, Ben Schmitt, David Faul, Nadim Joni Shah, Marian Cholewa, Gary F. Egan:
Accurate hybrid template-based and MR-based attenuation correction using UTE images for simultaneous PET/MR brain imaging applications. BMC Medical Imaging 18(1): 41:1-41:16 (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
- [c15]Francesco Sforazzini, Zhaolin Chen, Jakub Baran, Jason Bradley, Alexandra Carey, N. Jon Shah, Gary F. Egan:
MR-based attenuation map re-alignment and motion correction in simultaneous brain MR-PET imaging. ISBI 2017: 231-234 - [c13]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 - 2010
- [j22]Zhaolin Chen, Leigh A. Johnston, Dae Hyuk Kwon, Se Hong Oh, Zang-Hee Cho, Gary F. Egan:
An optimised framework for reconstructing and processing MR phase images. NeuroImage 49(2): 1289-1300 (2010) - 2008
- [c6]Zhaolin Chen, Leigh A. Johnston, Nathan Faggian, Mike Kean, Jingxin Zhang, Gary F. Egan:
A Multistage Parallel Magnetic Resonance Image Reconstruction Method. DICTA 2008: 327-334 - [c5]Nathan Faggian, Zhaolin Chen, Leigh A. Johnston, Se-Hong Oh, Zang-Hee Cho, Gary F. Egan:
A Method for Shape Analysis and Segmentation in MRI. DICTA 2008: 335-342
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