A5072969054- Medical Image Segmentation Techniques
- Water Quality Monitoring Technologies
- Brain Tumor Detection and Classification
- Acute Ischemic Stroke Management
- Advanced MRI Techniques and Applications
- Speech Recognition and Synthesis
- Fish Ecology and Management Studies
- Medical Imaging Techniques and Applications
- Speech and Audio Processing
- Astronomical Observations and Instrumentation
- Advanced Neuroimaging Techniques and Applications
- Stellar, planetary, and galactic studies
- Advanced Neural Network Applications
- Astronomy and Astrophysical Research
- Hydrological Forecasting Using AI
Dalhousie University
2024
Vector Institute
2024
University of Minho
2019-2021
Universidade de Brasília
2009
Fully Convolutional Networks have been achieving remarkable results in image semantic segmentation, while being efficient. Such efficiency from the capability of segmenting several voxels a single forward pass. So, there is direct spatial correspondence between unit feature map and voxel same location. In convolutional layer, kernel spans over all channels extracts information them. We observe that linear recombination maps by increasing number followed compression may enhance their...
Stroke is the second most common cause of death in developed countries. Rapid clinical assessment and intervention have a major impact on preventing infarct growth consequently patients' quality life. Clinical interventions aim to restore perfusion deficits via pharmaceutical or mechanical intervention. Regardless which reperfusion procedure used, clinicians need consider risks benefits based multi-modal neuroimaging studies, such as MRI scans, well their own experience. This intricate...
Introduction Hypoxia is defined as a critically low-oxygen condition of water, which, if prolonged, can be harmful to fish and many other aquatic species. In the context ocean salmon farming, early detection hypoxia events critical for farm managers mitigate these reduce stress, however in complex natural systems accurate forecasting tools are limited. The goal this research use machine learning approach forecast oxygen concentration predict marine net-pen farms. Methods developed model...
In this work, an algorithm for the detection of left ventricular border in two-dimensional long axis echocardiographic images is presented. its preprocessing stage, fusion was applied to a sequence composed three cardiac cycles. This method exploits similarity corresponding frames from different cycles and produces contrast enhancement boundary. result improves performance segmentation stage which based on watershed transformation. The obtained ventricle quantitatively qualitatively compared...
Multi-modal Magnetic Resonance Imaging sequences along with 4D Perfusion Weighted scans provide important information for stroke lesion outcome prediction. However, the proposed methodologies until now were not able to discriminate correctly most informative features from less useful ones. In this work, we propose an enhanced version of a data fusion method tissue prediction by employing attention models. We compare our proposal two other recent mechanisms image segmentation, showing that...