Adaptive keyhole SVD method for dynamic MRI reconstruction. - Zhaolin Chen; Jingxin Zhang 001; Khee K. Pang (ISSPA, 2005)

FB Analysis of PMRI and its Application to Hinfinity Optimal Sense Reconstruction. - Zhaolin Chen; Jingxin Zhang 001; Shenpeng Li; Li Chai 001 (ICIP (3), 2007)

Parallel Mr Image Reconstruction Using Iir Fb. - Zhaolin Chen; Jingxin Zhang 001; Li Chai 001 (ISBI, 2007)

Adaptive keyhole methods for dynamic magnetic resonance image reconstruction. - Zhaolin Chen; Jingxin Zhang 001; Khee K. Pang (Comput. Medical Imaging Graph., 2007)

A Multistage Parallel Magnetic Resonance Image Reconstruction Method. - Zhaolin Chen; Leigh A. Johnston; Nathan Faggian; Mike Kean; Jingxin Zhang 001; Gary F. Egan (DICTA, 2008)

A Method for Shape Analysis and Segmentation in MRI. - Nathan Faggian; Zhaolin Chen; Leigh A. Johnston; Se-Hong Oh; Zang-Hee Cho; Gary F. Egan (DICTA, 2008)

An optimised framework for reconstructing and processing MR phase images. - Zhaolin Chen; Leigh A. Johnston; Dae Hyuk Kwon; Se Hong Oh; Zang-Hee Cho; Gary F. Egan (NeuroImage, 2010)

3D Texture Mapping in Multi-view Reconstruction. - Zhaolin Chen; Jun Zhou; Yisong Chen; Guoping Wang (ISVC (1), 2012)

MR-based attenuation map re-alignment and motion correction in simultaneous brain MR-PET imaging. - Francesco Sforazzini; Zhaolin Chen; Jakub Baran; Jason Bradley; Alexandra Carey; N. Jon Shah; Gary F. Egan (ISBI, 2017)

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

Booter Blacklist Generation Based on Content Characteristics. - Wang Zhang; Xu Bai; Chanjuan Chen; Zhaolin Chen (CollaborateCom, 2018)

Joint PET+MRI Patch-Based Dictionary for Bayesian Random Field PET Reconstruction. - Viswanath P. Sudarshan; Zhaolin Chen; Suyash P. Awate (MICCAI (1), 2018)

Accurate hybrid template-based and MR-based attenuation correction using UTE images for simultaneous PET/MR brain imaging applications. - Jakub Baran; Zhaolin Chen; Francesco Sforazzini; Nicholas J. Ferris; Sharna D. Jamadar; Ben Schmitt; David Faul; Nadim Joni Shah; Marian Cholewa; Gary F. Egan (BMC Medical Imaging, 2018)

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)

Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework. - Viswanath P. Sudarshan; Kratika Gupta; Gary F. Egan; Zhaolin Chen; Suyash P. Awate (MICCAI (3), 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)

A hybrid ARM-FPGA cluster for cryptographic algorithm acceleration. - Xu Bai; Jiajia Yang; Qiong Dai; Zhaolin Chen (Concurr. Comput. Pract. Exp., 2019)

Simultaneous task-based BOLD-fMRI and [18-F] FDG functional PET for measurement of neuronal metabolism in the human visual cortex. - Sharna D. Jamadar; Phillip G. D. Ward; Shenpeng Li; Francesco Sforazzini; Jakub Baran; Zhaolin Chen; Gary F. Egan (NeuroImage, 2019)

Evaluation of the Robot Operating System 2 in Lossy Unmanned Networks. - Preetha Thulasiraman; Zhaolin Chen; Bruce Dale Allen; Brian Bingham (SysCon, 2020)

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)

Joint PET-MRI image reconstruction using a patch-based joint-dictionary prior. - Viswanath P. Sudarshan; Gary F. Egan; Zhaolin Chen; Suyash P. Awate (Medical Image Anal., 2020)

Analysis of continuous infusion functional PET (fPET) in the human brain. - Shenpeng Li; Sharna D. Jamadar; Phillip G. D. Ward; Malin Premaratne; Gary F. Egan; Zhaolin Chen (NeuroImage, 2020)

A Comprehensive Framework to Capture the Arcana of Neuroimaging Analysis. - Thomas G. Close; Phillip G. D. Ward; Francesco Sforazzini; Wojtek Goscinski; Zhaolin Chen; Gary F. Egan (Neuroinformatics, 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)

Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task. - Himashi Peiris; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (BrainLes@MICCAI (1), 2021)

Duo-SegNet: Adversarial Dual-Views for Semi-supervised Medical Image Segmentation. - Himashi Peiris; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (MICCAI (2), 2021)

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

A Volumetric Transformer for Accurate 3D Tumor Segmentation. - Himashi Peiris; Munawar Hayat; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (CoRR, 2021)

Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data. - Viswanath P. Sudarshan; Uddeshya Upadhyay; Gary F. Egan; Zhaolin Chen; Suyash P. Awate (Medical Image Anal., 2021)

Estimation of simultaneous BOLD and dynamic FDG metabolic brain activations using a multimodality concatenated ICA (mcICA) method. - Shenpeng Li; Sharna D. Jamadar; Phillip G. D. Ward; Gary F. Egan; Zhaolin Chen (NeuroImage, 2021)

Incorporation of anatomical MRI knowledge for enhanced mapping of brain metabolism using functional PET. - Viswanath P. Sudarshan; Shenpeng Li; Sharna D. Jamadar; Gary F. Egan; Suyash P. Awate; Zhaolin Chen (NeuroImage, 2021)

Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation. - Himashi Peiris; Munawar Hayat; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (BrainLes@MICCAI (2), 2022)

A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation. - Himashi Peiris; Munawar Hayat; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (MICCAI (5), 2022)

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)

Auto-encoded Latent Representations of White Matter Streamlines for Quantitative Distance Analysis. - Shenjun Zhong; Zhaolin Chen; Gary F. Egan (Neuroinformatics, 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)

Contrastive Learning MRI Reconstruction. - Mevan Ekanayake; Zhifeng Chen; Gary F. Egan; Mehrtash Harandi; 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)

Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation. - Himashi Peiris; Munawar Hayat; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (Nat. Mac. Intell., 2023)

Ultra Low-Field to High-Field MRI Translation Using Adversarial Diffusion. - Sanuwani Dayarathna; Kh Tohidul Islam; Zhaolin Chen (ISBI, 2024)

Improving Deep Learning MRI Reconstruction with Contrastive Learning Pretraining. - Mevan Ekanayake; Zhifeng Chen; Mehrtash Harandi; Gary F. Egan; Zhaolin Chen (ISBI, 2024)

Low-Dose Pet Image Reconstruction Using Self-Supervised Deep Kernel Representations Learned from MR. - Cameron Dennis Pain; Gary F. Egan; Zhaolin Chen (ISBI, 2024)

Bilateral Hippocampi Segmentation in Low Field MRIs Using Mutual Feature Learning via Dual-Views. - Himashi Peiris; Zhaolin Chen (LISA@MICCAI, 2024)

SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation. - Guoan Wang; Jin Ye 002; Junlong Cheng; Tianbin Li; Zhaolin Chen; Jianfei Cai 001; Junjun He; Bohan Zhuang (MICCAI (9), 2024)

Perivascular space Identification Nnunet for Generalised Usage (PINGU). - Benjamin Sinclair; Lucy Vivash; Jasmine Moses; Miranda Lynch; William Pham; Karina Dorfman; Cassandra Marotta; Shaun Koh; Jacob Bunyamin; Ella Rowsthorn; Alex Jarema; Himashi Peiris; et al. (CoRR, 2024)

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)

Deep kernel representations of latent space features for low-dose PET-MR imaging robust to variable dose reduction. - Cameron Dennis Pain; Yasmeen George; Alex Fornito; Gary F. Egan; Zhaolin Chen (CoRR, 2024)

TGADHead: An efficient and accurate task-guided attention-decoupled head for single-stage object detection. - Fengyuan Zuo; Jinhai Liu; Zhaolin Chen; Mingrui Fu; Lei Wang 190 (Knowl. Based Syst., 2024)

Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023. - Mahboobeh Jafari; Delaram Sadeghi; Afshin Shoeibi; Hamid Alinejad-Rokny; Amin Beheshti; David López-García; Zhaolin Chen; U. Rajendra Acharya; Juan Manuel Górriz (Appl. Intell., 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)

Deep learning based synthesis of MRI, CT and PET: Review and analysis. - Sanuwani Dayarathna; Kh Tohidul Islam; Sergio Uribe; Guang Yang 006; Munawar Hayat; Zhaolin Chen (Medical Image Anal., 2024)

A dual-population evolutionary algorithm based on dynamic constraint processing and resources allocation for constrained multi-objective optimization problems. - Kangjia Qiao; Zhaolin Chen; Boyang Qu; Kunjie Yu; Caitong Yue; Ke Chen; Jing J. Liang (Expert Syst. Appl., 2024)

Multilevel Fine-Grained Features-Based General Framework for Object Detection. - Fengyuan Zuo; Jinhai Liu; Zhaolin Chen; Huaguang Zhang; Mingrui Fu; Lei Wang 190 (IEEE Trans. Cybern., 2024)

A Dynamic Weights-Based Wavelet Attention Neural Network for Defect Detection. - Jinhai Liu; He Zhao 013; Zhaolin Chen; Qiannan Wang; Xiangkai Shen; Huaguang Zhang (IEEE Trans. Neural Networks Learn. Syst., 2024)

McCaD: Multi-Contrast MRI Conditioned, Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis. - Sanuwani Dayarathna; Kh Tohidul Islam; Bohan Zhuang; Guang Yang 006; Jianfei Cai 001; Meng Law; Zhaolin Chen (WACV, 2025)

SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution. - Mevan Ekanayake; Zhifeng Chen; Gary F. Egan; Mehrtash Harandi; Zhaolin Chen (WACV, 2025)

CL-MRI: Self-Supervised contrastive learning to improve the accuracy of undersampled MRI reconstruction. - Mevan Ekanayake; Zhifeng Chen; Mehrtash Harandi; Gary F. Egan; Zhaolin Chen (Biomed. Signal Process. Control., 2025)

Dynamic analysis of electrically prestressed highly aligned graphene-reinforced dielectric porous arches under large deformation. - Zhicheng Yang; Siu-Kai Lai; Zhaolin Chen; Jie Yang; Airong Liu; Jiyang Fu (Commun. Nonlinear Sci. Numer. Simul., 2025)

Co-Manifold learning for semi-supervised medical image segmentation. - Himashi Peiris; Zhaolin Chen; Gary F. Egan; Mehrtash Harandi (Neurocomputing, 2025)

Accelerating multi-directional diffusion MRI through patch-based joint reconstruction. - Zhongbiao Xu; Rongli Zhang; Wei Huang; Guanhua Deng; Xiaoyun Liang 007; Li Guo; Junying Cheng; Yaohui Wang 002; Feng Liu 005; Zhaolin Chen; Zhifeng Chen (NeuroImage, 2025)

A Complex Welding Defect Detection Method Based on Active Learning in Pipeline Transportation System. - Fengyuan Zuo; Jinhai Liu; Huanqun Zhang; Zhaolin Chen; Bingchuan Yan; Lei Wang 190 (IEEE Trans. Instrum. Meas., 2025)

CodeBrain: Impute Any Brain MRI via Instance-specific Scalar-quantized Codes. - Yicheng Wu 001; Tao Song 002; Zhonghua Wu; Zongyuan Ge; Zhaolin Chen; Jianfei Cai 001 (CoRR, 2025)

Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation. - Zhiqiang Shen; Peng Cao 001; Jinzhu Yang; Osmar R. Zaïane; Zhaolin Chen (CoRR, 2025)