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Shenjun Zhong, PhD
Shenjun Zhong, PhD
Research Scientist, Monash University, Research Fellow, National Imaging Facility, Australia
Dirección de correo verificada de monash.edu
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Citado por
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Año
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
442023
Beating the bookies with their own numbers-and how the online sports betting market is rigged
L Kaunitz, S Zhong, J Kreiner
arXiv preprint arXiv:1710.02824, 2017
282017
Self-supervised vision-language pretraining for medial visual question answering
P Li, G Liu, L Tan, J Liao, S Zhong
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
202023
Masked vision and language pre-training with unimodal and multimodal contrastive losses for medical visual question answering
P Li, G Liu, J He, Z Zhao, S Zhong
International Conference on Medical Image Computing and Computer-Assisted …, 2023
102023
Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET
SD Jamadar, EX Liang, S Zhong, PGD Ward, A Carey, R McIntyre, Z Chen, ...
Gigascience 11, giac031, 2022
72022
Monash vis-fPET-fMRI
S Jamadar, S Zhong, PGD Ward, A Carey, R McIntyre, A Fornito, ...
72021
A comprehensive solution to retrieval-based chatbot construction
K Moore, S Zhong, Z He, T Rudolf, N Fisher, B Victor, N Jindal
Computer Speech & Language 83, 101522, 2023
42023
Auto-encoded latent representations of white matter streamlines for quantitative distance analysis
S Zhong, Z Chen, G Egan
Neuroinformatics 20 (4), 1105-1120, 2022
42022
Auto-encoded Latent Representations of White Matter Streamlines
S Zhong, Z Chen, G Egan
International Society for Magnetic Resonance in Medicine 2020, 2020
42020
Unified Transformer with Cross-Modal Mixture Experts for Remote-Sensing Visual Question Answering
G Liu, J He, P Li, S Zhong, H Li, G He
Remote Sensing 15 (19), 4682, 2023
22023
Orthogonal-Nets: A Large Ensemble of 2D Neural Networks for 3D Brain Tumor Segmentation
K Pawar, S Zhong, DS Goonatillake, G Egan, Z Chen
International MICCAI Brainlesion Workshop, 54-67, 2021
22021
Monash DaCRA-fPET-fMRI
S Jamadar, E Liang, PGD Ward, A Carey, R McIntyre, Z Chen, S Zhong, ...
22021
PeFoMed: Parameter Efficient Fine-tuning on Multimodal Large Language Models for Medical Visual Question Answering
J He, P Li, G Liu, Z Zhao, S Zhong
arXiv preprint arXiv:2401.02797, 2024
12024
Improving portable low-field MRI image quality through image-to-image translation using paired low-and high-field images
KT Islam, S Zhong, P Zakavi, Z Chen, H Kavnoudias, S Farquharson, ...
Scientific Reports 13 (1), 21183, 2023
12023
Task-evoked simultaneous FDG-PET and fMRI data for measurement of neural metabolism in the human visual cortex
SD Jamadar, S Zhong, A Carey, R McIntyre, PGD Ward, A Fornito, ...
Scientific Data 8 (1), 267, 2021
12021
Brain tumor segmentation using two-stage convolutional neural network for federated evaluation
K Pawar, S Zhong, Z Chen, G Egan
International MICCAI Brainlesion Workshop, 494-505, 2021
12021
Deep learning based motion estimation from highly under-sampled EPI volumetric navigators
M Hasiuk, K Pawar, S Zhong, R McIntyre, Z Chen, G Egan
International Society for Magnetic Resonance in Medicine 2019, 2019
12019
PECR: Parameter-Efficient Transfer Learning with Cross-Modal Representation Learning for Remote Sensing Visual Question Answering
P Li, J He, G Liu, S Zhong
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
Enhancing Generalization in Medical Visual Question Answering Tasks Via Gradient-Guided Model Perturbation
G Liu, H Li, Z He, S Zhong
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
Cross-Modal Self-Supervised Vision Language Pre-training with Multiple Objectives for Medical Visual Question Answering
G Liu, P Li, Z Zhao, J He, G He, S Zhong
Authorea Preprints, 2023
2023
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