Y. Gal

发表

The need for improved brain lesion segmentation techniques for children with cerebral palsy: A review

J. Fripp, N. Dowson, R. Boyd, 2015, International Journal of Developmental Neuroscience.

Correlation of MRI-Derived Apparent Diffusion Coefficients in Newly Diagnosed Gliomas with [18F]-Fluoro-L-Dopa PET: What Are We Really Measuring with Minimum ADC?

S. Crozier, A. Coulthard, N. Dowson, 2013, American Journal of Neuroradiology.

Using the apparent diffusion coefficient to identifying MGMT promoter methylation status early in glioblastoma: importance of analytical method

Stuart Crozier, Olivier Salvado, Yaniv Gal, 2015, Journal of medical radiation sciences.

Dual acquisition of 18F-FMISO and 18F-FDOPA

Paul Thomas, Yaniv Gal, Christopher Bell, 2014, Physics in medicine and biology.

Hypoxia imaging in gliomas with 18F-fluoromisonidazole PET: toward clinical translation.

N. Dowson, S. Rose, Y. Gal, 2015, Seminars in nuclear medicine.

Early prediction of treatment response in advanced gliomas with (18)F-dopa positron-emission tomography.

Stuart Crozier, Olivier Salvado, Yaniv Gal, 2013, Current oncology.

Correlation ofMRI-Derived Apparent Diffusion Coefficients in Newly Diagnosed Gliomas with [ 18 F ]-Fluoro-L-Dopa PET : What AreWe Really Measuring withMinimumADC ?

S. Crozier, Olivier Salvado, A. Coulthard, 2012 .

2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Noosa, QLD, Australia, December 6-8, 2011

Yaniv Gal, Andrew P. Bradley, Paul Jackway, 2011, DICTA.

Central nervous system involvement in systemic lupus erythematosus: an imaging challenge.

Y. Shoenfeld, G. Twig, G. Greenberg, 2013, The Israel Medical Association journal : IMAJ.

Distance informed Track-Weighted Imaging (diTWI): A framework for sensitising streamline information to neuropathology

Stuart Crozier, Olivier Salvado, Paul Thomas, 2014, NeuroImage.

Automatic classification of high grade brain tumour MRI for improved resection and therapy planning

Z. Taylor, S. Crozier, Olivier Salvado, 2012 .

Computer Aided Analysis of Dynamic Contrast Enhanced MRI of Breast Cancer

Yaniv Gal, Y. Gal, 2010 .

Increasing feasibility and utility of (18)F-FDOPA PET for the management of glioma.

N. Dowson, S. Rose, Y. Gal, 2015, Nuclear medicine and biology.

Long-Term Automated Monitoring of Nearshore Wave Height From Digital Video

Yaniv Gal, Matthew Browne, Christopher Lane, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Automatic Estimation of Nearshore Wave Height from Video Timestacks

Yaniv Gal, Matthew Browne, Christopher Lane, 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.

Performance Analysis of Three Microscope Slide Scanning Techniques

Yaniv Gal, Andrew P. Bradley, Yilun Fan, 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings

Toan N. Nguyen, S. Chandra, Y. Gal, 2022, MICCAI.

Denoising of Dynamic Contrast-Enhanced MR Images Using Dynamic Nonlocal Means

Stuart Crozier, Andrew Mehnert, Dominic Kennedy, 2010, IEEE Transactions on Medical Imaging.

Automated Classification of Bone and Air Volumes for Hybrid PET-MRI Brain Imaging

Stuart Crozier, Paul Thomas, Yaniv Gal, 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Optimization of MRI-based scoring scales of brain injury severity in children with unilateral cerebral palsy

S. Rose, A. Guzzetta, N. Dowson, 2016, Pediatric Radiology.

Temporal embedding and spatiotemporal feature selection boost multi-voxel pattern analysis decoding accuracy

Yaniv Gal, Pamela K. Douglas, Jeiran Choupan, 2020, Journal of Neuroscience Methods.

Spatiotemporal Feature Selection Improves Prediction Accuracy of Multi-Voxel Pattern Classification

Yaniv Gal, Mark S. Cohen, David C. Reutens, 2019, bioRxiv.

Automatic Detection of Arterial Voxels in Dynamic Contrast-Enhanced MR Images of the Brain

Yaniv Gal, Sze Liang Stanley Chan, Y. Gal, 2012, 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA).

Validity and reliability of computerized measurement of lumbar intervertebral disc height and volume from magnetic resonance images.

Stuart Crozier, Jurgen Fripp, Yaniv Gal, 2014, The spine journal : official journal of the North American Spine Society.

Wisdom of Crowds: An Empirical Study of Ensemble-Based Feature Selection Strategies

Napoleon H. Reyes, Yaniv Gal, Teo Susnjak, 2015, Australasian Conference on Artificial Intelligence.

Assessing local outcomes in heterogeneous gliomas

Stuart Crozier, Olivier Salvado, Yaniv Gal, 2014 .

Feature and Classifier Selection for Automatic Classification of Lesions in Dynamic Contrast-Enhanced MRI of the Breast

Stuart Crozier, Andrew Mehnert, Dominic Kennedy, 2009, 2009 Digital Image Computing: Techniques and Applications.

Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images

ZongYuan Ge, Y. Gal, Paul Bonnington, 2022, MICCAI.

The effect of temporal observation selection on the prediction of visual stimulus from block design functional MRI

Yaniv Gal, Zhengyi Yang, David C. Reutens, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

A new system for breakzone location and the measurement of breaking wave heights and periods.

Yaniv Gal, Michael Blumenstein, Clarence Tan, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.