Research in: Video Communication and Medical Imaging
Computer Vision and Machine Learning
- Image Segmentation Using Sparse Decomposition and Total Variation Minimization
- Witness Video Summarization: A Collective Journalistic Experience
- Multi-Camera Pedestrian Tracking Based on Graph Matching
Video Communication
- Screen Content Coding and Transcoding
- Perceptual Quality Maximization for Video Calls with Packet Losses by Optimizing FEC, Frame Rate and Quantization
- Real-time Bandwidth Estimation and Rate Adaptation for Video Calls over Cellular Networks
- Dealing with User Heterogeneity in P2P Multi-party Video Conferencing: Layered Distribution vs. Partitioned Simulcast
- Video Adaptation for Live Streaming Using Perceptual Quality and Rate Models
- Perceptual quality modeling of scalable video
- Scalable video adaptation considering bit rate and power constraints to optimize perceptual quality
- Layered Wireless Video Multicast Using Relays
- Randomized Cooperative Video Multicast
- Cooperative Source and Channel Coding for Wireless Multimedia Communication
- Two-way Communication System using Network Coding and User Relays
- Wireless Layered Video Transmission Using Diversity Embedded Space-Time Coding
- Dynamic Rate and FEC Adaptation for Wireless Video Multicast over Multi-rate Networks
Medical Imaging
- Automatic Analysis of High-Frequency Ultrasound Images of Mouse Embryos
- Kinect-enhanced Lymphedema Intervention Training System
- Machine Learning Based MTBI Classification Using Diffusion MRI
- High Resolution EEG Signal Analysis for Seizure Detection and Treatment
- B-lines Detection and Evaluation in Thorax Ultrasound Video
- Using Brain fMRI features for Prediction of Performance of People on Neuropsychology Tests
- Automatic Segmentation of the Breast and Heart for Radiotherapy in CT Volumes
- Enhancing Magnetic Resonance Imaging by Combining Parallel Imaging and Compressive Sensing
- Automatic Beam Placement for Breast Radiotherapy