Mariano Cabezas
University of Sydney(AU)Macquarie University(AU)
Publications by Year
Research Areas
Multiple Sclerosis Research Studies, Medical Image Segmentation Techniques, AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Brain Tumor Detection and Classification
Most-Cited Works
- → A review of atlas-based segmentation for magnetic resonance brain images(2011)416 cited
- → Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach(2017)385 cited
- → Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure(2018)275 cited
- → Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches(2011)243 cited
- → One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks(2019)154 cited
- → Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review(2021)141 cited
- → Improving the detection of autism spectrum disorder by combining structural and functional MRI information(2020)134 cited
- → Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features(2018)119 cited
- → A toolbox for multiple sclerosis lesion segmentation(2015)99 cited
- → Comparison of 10 brain tissue segmentation methods using revisited IBSR annotations(2014)88 cited