My Research Projects
Research Projects (Arcot Sowmya)
Current Projects
-
Automatic detection of dustmites in images using machine learning
- DeepLOOP: Secondary Fracture Prevention using deep learning to screen for osteoporosis
- Segmentation and Functional Evaluation of the feal heart in ultrasound images
- Multimodal learning from Alzheimer datasets for early detection
- Learning to detect hidden messages in Steganography images
- Localisation and Recognition of disaster zones in remotely sensed images using deep learning
- Data mining in political conflict datasets
- Recognition and quantification of Prostate cancer in multi-parametric MR images
- Automated analysis of multi-modal retinal images
- Machine learning technqiues for recognition of MCI in brain MR images
- Deep learning for prostate segmentation in MR images
Completed Projects
- GPU algorithms for high resolution image processing and visualisation
- Automatic recognition of crystallisation process in X-ray crystallography image sequences
- Automatic Change detection in remotely sensed images using machine learning
- Action recognition and obejct detection in images using machine learning
- Biomedical image segmentation and interaction
- Automatic 3D extraction of Asbestos-related Pleural Disease in HRCT Lung images
- System level modelling and verification of NoC components using model checking
- Mathematical Optimization Techniques in Computer Vision and Machine learning
- Detecting human victims in an urban search and rescue scenario
- Vision- based Natural Assistive Technologies with gesture recognition using Kinect
- Automatic 2.5D Cartoon Modelling
- Motion Tracking in Phase-Contrast Microscopic Images
- Visual Matching and Tracking of humans in multiple cameras
- Face tracking using boosted dynamic active shape model and filtering
- Hierarchical Feature Extraction for lung HRCT images
- Modelling and Verification of NoC protocol
stack
- Segmentation in image matching and retrieval
- Motion Tracking and recognition in immersive environments
- Incremental software/Knowledge Engineering development environment for medical image applications
- Provably Correct On-chip Communication-based Design
- Modelling and Programming Embedded Controllers with Timed Automata and Synchronous Languages
- Tracking and audio feedback for navigation
- Formal Model of Web Services Protocols
- Segmentation and Classification of lung HRC
T images
- Learning dynamic statistical shape model for object extraction
- Investigation of blood flow impediment in major limb vessels due to limb bending
- Prototype CAD and Interactive Radiologists' Forum for HRCT images of the lung
- Topological Mapping with Vision-based Localization and Mapping
- 3-D Imaging of arterio-venous malformations (AVMs)
- Learning Medical Image Knowledge
- Information Fusion and Machine Learning
in Linear Features Extraction in High Resolution Images
- Composite Learning of Linear Features in
High Resolution Images
- Component Reuse Framework for Embedded S
ystem Design
- Symbolic Component Reuse for embedded s
ystems
- FSIM: component reuse methods for embedded systems
- State-based Specification and Logic-based Verification of embedded systems
- Automatic Feature Extraction and Recognition on high resolution remotely sensed images
- Semi-automatic and automatic tools for data acquisition from remotely sensed data
- Real-time Tracking for a Visual Robot
- Building Object Models Automatically