Zhaolin Chen
Zhaolin Chen
Associate Professor in Medical Imaging, Monash University
Verified email at - Homepage
Cited by
Cited by
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
S Bakas, M Reyes, A Jakab, S Bauer, ..., 2018
A robust volumetric transformer for accurate 3D tumor segmentation
H Peiris, M Hayat, Z Chen, G Egan, M Harandi
International Conference on Medical Image Computing and Computer-Assisted …, 2022
From simultaneous to synergistic MR‐PET brain imaging: A review of hybrid MR‐PET imaging methodologies
Z Chen, SD Jamadar, S Li, F Sforazzini, J Baran, N Ferris, NJ Shah, ...
Human brain mapping 39 (12), 5126-5144, 2018
Deep learning for image enhancement and correction in magnetic resonance imaging—state-of-the-art and challenges
Z Chen, K Pawar, M Ekanayake, C Pain, S Zhong, GF Egan
Journal of Digital Imaging 36 (1), 204-230, 2023
Simultaneous task-based BOLD-fMRI and [18-F] FDG functional PET for measurement of neuronal metabolism in the human visual cortex
SD Jamadar, PGD Ward, S Li, F Sforazzini, J Baran, Z Chen, GF Egan
Neuroimage 189, 258-266, 2019
Suppressing motion artefacts in MRI using an Inception‐ResNet network with motion simulation augmentation
K Pawar, Z Chen, NJ Shah, GF Egan
NMR in Biomedicine 35 (4), e4225, 2022
Metabolic and hemodynamic resting-state connectivity of the human brain: a high-temporal resolution simultaneous BOLD-fMRI and FDG-fPET multimodality study
SD Jamadar, PGD Ward, EX Liang, ER Orchard, Z Chen, GF Egan
Cerebral Cortex 31 (6), 2855-2867, 2021
Motion correction in MRI using deep convolutional neural network
K Pawar, Z Chen, NJ Shah, GF Egan
Proceedings of the ISMRM Scientific Meeting & Exhibition, Paris 1174, 2018
Deep learning-based image reconstruction and post-processing methods in positron emission tomography for low-dose imaging and resolution enhancement
CD Pain, GF Egan, Z Chen
European Journal of Nuclear Medicine and Molecular Imaging 49 (9), 3098-3118, 2022
Duo-SegNet: adversarial dual-views for semi-supervised medical image segmentation
H Peiris, Z Chen, G Egan, M Harandi
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Simultaneous BOLD-fMRI and constant infusion FDG-PET data of the resting human brain
SD Jamadar, PGD Ward, TG Close, A Fornito, M Premaratne, K O’Brien, ...
Scientific data 7 (1), 363, 2020
IIR GRAPPA for parallel MR image reconstruction
Z Chen, J Zhang, R Yang, P Kellman, LA Johnston, GF Egan
Magnetic Resonance in Medicine: An Official Journal of the International …, 2010
3D texture mapping in multi-view reconstruction
Z Chen, J Zhou, Y Chen, G Wang
Advances in Visual Computing: 8th International Symposium, ISVC 2012 …, 2012
Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data
VP Sudarshan, U Upadhyay, GF Egan, Z Chen, SP Awate
Medical Image Analysis 73, 102187, 2021
Augmented deep learning model for improved quantitative accuracy of MR-based PET attenuation correction in PSMA PET-MRI prostate imaging
A Pozaruk, K Pawar, S Li, A Carey, J Cheng, VP Sudarshan, M Cholewa, ...
European journal of nuclear medicine and molecular imaging 48, 9-20, 2021
An optimised framework for reconstructing and processing MR phase images
Z Chen, LA Johnston, DH Kwon, SH Oh, ZH Cho, GF Egan
Neuroimage 49 (2), 1289-1300, 2010
Adaptive keyhole methods for dynamic magnetic resonance image reconstruction
Z Chen, J Zhang, KK Pang
Computerized Medical Imaging and Graphics 31 (6), 458-468, 2007
Reciprocal adversarial learning for brain tumor segmentation: a solution to BraTS challenge 2021 segmentation task
H Peiris, Z Chen, G Egan, M Harandi
International MICCAI Brainlesion Workshop, 171-181, 2021
Joint PET-MRI image reconstruction using a patch-based joint-dictionary prior
VP Sudarshan, GF Egan, Z Chen, SP Awate
Medical image analysis 62, 101669, 2020
FB analysis of PMRI and its application to H optimal sense reconstruction
Z Chen, J Zhang, S Li, L Chai
2007 IEEE International Conference on Image Processing 3, III-129-III-132, 2007
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