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2020 – today
- 2024
[j24]Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi
, Hamid Alinejad-Rokny, Amin Beheshti, David López-García, Zhaolin Chen, U. Rajendra Acharya, Juan Manuel Górriz:
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023. Appl. Intell. 54(11-12): 35-79 (2024)- [j23]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) - [j22]Kangjia Qiao, Zhaolin Chen, Boyang Qu, Kunjie Yu, Caitong Yue, Ke Chen, Jing J. Liang:
A dual-population evolutionary algorithm based on dynamic constraint processing and resources allocation for constrained multi-objective optimization problems. Expert Syst. Appl. 238(Part A): 121707 (2024) - [j21]Fengyuan Zuo, Jinhai Liu, Zhaolin Chen, Mingrui Fu, Lei Wang:
TGADHead: An efficient and accurate task-guided attention-decoupled head for single-stage object detection. Knowl. Based Syst. 302: 112349 (2024) - [j20]Sanuwani Dayarathna, Kh Tohidul Islam, Sergio Uribe, Guang Yang, Munawar Hayat, Zhaolin Chen:
Deep learning based synthesis of MRI, CT and PET: Review and analysis. Medical Image Anal. 92: 103046 (2024) - [j19]Fengyuan Zuo, Jinhai Liu, Zhaolin Chen, Huaguang Zhang, Mingrui Fu, Lei Wang:
Multilevel Fine-Grained Features-Based General Framework for Object Detection. IEEE Trans. Cybern. 54(11): 6921-6933 (2024) - [j18]Jinhai Liu, He Zhao, Zhaolin Chen, Qiannan Wang, Xiangkai Shen, Huaguang Zhang:
A Dynamic Weights-Based Wavelet Attention Neural Network for Defect Detection. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16211-16221 (2024) - [c23]Sanuwani Dayarathna, Kh Tohidul Islam, Zhaolin Chen:
Ultra Low-Field to High-Field MRI Translation Using Adversarial Diffusion. ISBI 2024: 1-4 - [c22]Mevan Ekanayake, Zhifeng Chen, Mehrtash Harandi, Gary F. Egan, Zhaolin Chen:
Improving Deep Learning MRI Reconstruction with Contrastive Learning Pretraining. ISBI 2024: 1-4 - [c21]Cameron Dennis Pain, Gary F. Egan, Zhaolin Chen:
Low-Dose Pet Image Reconstruction Using Self-Supervised Deep Kernel Representations Learned from MR. ISBI 2024: 1-4 - [c20]Guoan Wang, Jin Ye, Junlong Cheng, Tianbin Li, Zhaolin Chen, Jianfei Cai, Junjun He, Bohan Zhuang:
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation. MICCAI (9) 2024: 552-561 - [i16]Benjamin Sinclair, Lucy Vivash, Jasmine Moses, Miranda Lynch, William Pham, Karina Dorfman, Cassandra Marotta, Shaun Koh, Jacob Bunyamin, Ella Rowsthorn, Alex Jarema, Himashi Peiris, Zhaolin Chen, Sandy R. Shultz, David K. Wright, Dexiao Kong, Sharon L. Naismith, Terence J. O'Brien, Meng Law:
Perivascular space Identification Nnunet for Generalised Usage (PINGU). CoRR abs/2405.08337 (2024) - [i15]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) - [i14]Guoan Wang, Jin Ye, Junlong Cheng, Tianbin Li, Zhaolin Chen, Jianfei Cai, Junjun He, Bohan Zhuang:
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation. CoRR abs/2407.04938 (2024) - [i13]Sanuwani Dayarathna, Kh Tohidul Islam, Bohan Zhuang, Guang Yang, Jianfei Cai, Meng Law, Zhaolin Chen:
McCaD: Multi-Contrast MRI Conditioned, Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis. CoRR abs/2409.00585 (2024) - [i12]Mevan Ekanayake, Zhifeng Chen, Gary F. Egan, Mehrtash Harandi, Zhaolin Chen:
SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution. CoRR abs/2409.01013 (2024) - [i11]Cameron Dennis Pain, Yasmeen George, Alex Fornito, Gary F. Egan, Zhaolin Chen:
Deep kernel representations of latent space features for low-dose PET-MR imaging robust to variable dose reduction. CoRR abs/2409.06198 (2024) - 2023
- [j17]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) - [j16]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) - [i8]Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, Hamid Alinejad-Rokny, Amin Beheshti, David López-García, Zhaolin Chen, U. Rajendra Acharya, Juan Manuel Górriz:
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023. CoRR abs/2309.12202 (2023) - 2022
- [j15]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) - [c19]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 - [c18]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 - [i7]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) - [i6]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) - [i5]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
- [j14]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) - [j13]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) - [j12]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) - [j11]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) - [c17]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 - [c16]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 - [c15]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 - [c14]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 - [i4]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) - [i3]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) - [i2]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
- [j10]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) - [j9]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) - [j8]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) - [j7]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) - [c13]Preetha Thulasiraman, Zhaolin Chen, Bruce Dale Allen, Brian Bingham:
Evaluation of the Robot Operating System 2 in Lossy Unmanned Networks. SysCon 2020: 1-8
2010 – 2019
- 2019
- [j6]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) - [j5]Xu Bai, Jiajia Yang, Qiong Dai, Zhaolin Chen:
A hybrid ARM-FPGA cluster for cryptographic algorithm acceleration. Concurr. Comput. Pract. Exp. 31(24) (2019) - [j4]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) - [c12]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 - [c11]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
- [j3]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) - [c10]Wang Zhang, Xu Bai, Chanjuan Chen, Zhaolin Chen:
Booter Blacklist Generation Based on Content Characteristics. CollaborateCom 2018: 529-542 - [c9]Viswanath P. Sudarshan, Zhaolin Chen, Suyash P. Awate:
Joint PET+MRI Patch-Based Dictionary for Bayesian Random Field PET Reconstruction. MICCAI (1) 2018: 338-346 - [i1]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
- [c8]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 - [c7]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 - 2012
- [c6]Zhaolin Chen, Jun Zhou, Yisong Chen, Guoping Wang:
3D Texture Mapping in Multi-view Reconstruction. ISVC (1) 2012: 359-371 - 2010
- [j2]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)
2000 – 2009
- 2008
- [c5]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 - [c4]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 - 2007
- [j1]Zhaolin Chen, Jingxin Zhang, Khee K. Pang:
Adaptive keyhole methods for dynamic magnetic resonance image reconstruction. Comput. Medical Imaging Graph. 31(6): 458-468 (2007) - [c3]Zhaolin Chen, Jingxin Zhang, Shenpeng Li, Li Chai:
FB Analysis of PMRI and its Application to Hinfinity Optimal Sense Reconstruction. ICIP (3) 2007: 129-132 - [c2]Zhaolin Chen, Jingxin Zhang, Li Chai:
Parallel Mr Image Reconstruction Using Iir Fb. ISBI 2007: 129-132 - 2005
- [c1]Zhaolin Chen, Jingxin Zhang, Khee K. Pang:
Adaptive keyhole SVD method for dynamic MRI reconstruction. ISSPA 2005: 211-214
Coauthor Index
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