Zhaolin Chen

Expert Syst. Appl., March, 2024

Deep learning based synthesis of MRI, CT and PET: Review and analysis.

[BibT_eX]

[DOI]

Medical Image Anal., February, 2024

McSTRA: A multi-branch cascaded swin transformer for point spread function-guided robust MRI reconstruction.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, January, 2024

Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023.

[BibT_eX]

[DOI]

Appl. Intell., January, 2024

TGADHead: An efficient and accurate task-guided attention-decoupled head for single-stage object detection.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Bilateral Hippocampi Segmentation in Low Field MRIs Using Mutual Feature Learning via Dual-Views.

[BibT_eX]

[DOI]

Himashi Peiris

CoRR, 2024

Deep kernel representations of latent space features for low-dose PET-MR imaging robust to variable dose reduction.

[BibT_eX]

[DOI]

CoRR, 2024

SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2024

McCaD: Multi-Contrast MRI Conditioned, Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis.

[BibT_eX]

[DOI]

CoRR, 2024

Motion-Informed Deep Learning for Brain MR Image Reconstruction Framework.

[BibT_eX]

[DOI]

CoRR, 2024

Perivascular space Identification Nnunet for Generalised Usage (PINGU).

[BibT_eX]

[DOI]

CoRR, 2024

SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Low-Dose Pet Image Reconstruction Using Self-Supervised Deep Kernel Representations Learned from MR.

[BibT_eX]

[DOI]

Cameron Dennis Pain

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Improving Deep Learning MRI Reconstruction with Contrastive Learning Pretraining.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Ultra Low-Field to High-Field MRI Translation Using Adversarial Diffusion.

[BibT_eX]

[DOI]

Sanuwani Dayarathna

Kh Tohidul Islam

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation.

[BibT_eX]

[DOI]

Nat. Mac. Intell., July, 2023

Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging - State-of-the-Art and Challenges.

[BibT_eX]

[DOI]

J. Digit. Imaging, February, 2023

Contrastive Learning MRI Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2023

PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Auto-encoded Latent Representations of White Matter Streamlines for Quantitative Distance Analysis.

[BibT_eX]

[DOI]

Shenjun Zhong

Neuroinformatics, 2022

Multi-head Cascaded Swin Transformers with Attention to k-space Sampling Pattern for Accelerated MRI Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2022

A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

Incorporation of anatomical MRI knowledge for enhanced mapping of brain metabolism using functional PET.

[BibT_eX]

[DOI]

NeuroImage, 2021

Estimation of simultaneous BOLD and dynamic FDG metabolic brain activations using a multimodality concatenated ICA (mcICA) method.

[BibT_eX]

[DOI]

NeuroImage, 2021

Towards lower-dose PET using physics-based uncertainty-aware multimodal learning with robustness to out-of-distribution data.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

A Volumetric Transformer for Accurate 3D Tumor Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Domain knowledge augmentation of parallel MR image reconstruction using deep learning.

[BibT_eX]

[DOI]

Kamlesh Pawar

Dilshan Sasanka Goonatillake

Comput. Medical Imaging Graph., 2021

Duo-SegNet: Adversarial Dual-Views for Semi-supervised Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Orthogonal-Nets: A Large Ensemble of 2D Neural Networks for 3D Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Kamlesh Pawar

Shenjun Zhong

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Brain Tumor Segmentation Using Two-Stage Convolutional Neural Network for Federated Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

A Comprehensive Framework to Capture the Arcana of Neuroimaging Analysis.

[BibT_eX]

[DOI]

Neuroinformatics, 2020

Analysis of continuous infusion functional PET (fPET) in the human brain.

[BibT_eX]

[DOI]

NeuroImage, 2020

Joint PET-MRI image reconstruction using a patch-based joint-dictionary prior.

[BibT_eX]

[DOI]

Suyash P. Awate

Medical Image Anal., 2020

Application of compressed sensing using chirp encoded 3D GRE and MPRAGE sequences.

[BibT_eX]

[DOI]

Int. J. Imaging Syst. Technol., 2020

Evaluation of the Robot Operating System 2 in Lossy Unmanned Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Systems Conference, 2020

2019

Simultaneous task-based BOLD-fMRI and [18-F] FDG functional PET for measurement of neuronal metabolism in the human visual cortex.

[BibT_eX]

[DOI]

NeuroImage, 2019

A hybrid ARM-FPGA cluster for cryptographic algorithm acceleration.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2019

A Deep Learning Framework for Transforming Image Reconstruction Into Pixel Classification.

[BibT_eX]

[DOI]

IEEE Access, 2019

Joint Reconstruction of PET + Parallel-MRI in a Bayesian Coupled-Dictionary MRF Framework.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

An Ensemble of 2D Convolutional Neural Network for 3D Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

MoCoNet: Motion Correction in 3D MPRAGE images using a Convolutional Neural Network approach.

[BibT_eX]

[DOI]

CoRR, 2018

Accurate hybrid template-based and MR-based attenuation correction using UTE images for simultaneous PET/MR brain imaging applications.

[BibT_eX]

[DOI]

BMC Medical Imaging, 2018

Joint PET+MRI Patch-Based Dictionary for Bayesian Random Field PET Reconstruction.

[BibT_eX]

[DOI]

Suyash P. Awate

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Booter Blacklist Generation Based on Content Characteristics.

[BibT_eX]

[DOI]

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2018

2017

Residual Encoder and Convolutional Decoder Neural Network for Glioma Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

MR-based attenuation map re-alignment and motion correction in simultaneous brain MR-PET imaging.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2012

3D Texture Mapping in Multi-view Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012

2010

An optimised framework for reconstructing and processing MR phase images.

[BibT_eX]

[DOI]

NeuroImage, 2010

2008

A Method for Shape Analysis and Segmentation in MRI.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

A Multistage Parallel Magnetic Resonance Image Reconstruction Method.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

2007

Adaptive keyhole methods for dynamic magnetic resonance image reconstruction.

[BibT_eX]

[DOI]

Jingxin Zhang

Khee K. Pang

Comput. Medical Imaging Graph., 2007

Parallel Mr Image Reconstruction Using Iir Fb.

[BibT_eX]

[DOI]

Jingxin Zhang

Li Chai

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

FB Analysis of PMRI and its Application to H<sub>infinity</sub> Optimal Sense Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2007

2005

Adaptive keyhole SVD method for dynamic MRI reconstruction.

[BibT_eX]

[DOI]