📜 = Patent 📝 = Paper 💻 = Code 🔗 = Link
AI4Health
Applications of artificial intelligence in healthcare and medical diagnostics. For example: smartphone-based applications for automated interpretation of rapid diagnostic tests for HIV, syphilis, and COVID-19.
📜 Adaptable Automated Interpretation of Rapid Diagnostic Tests Using Self-Supervised Learning and Few-Shot Learning📝 SMARTtest: A Smartphone App to Facilitate HIV and Syphilis Self- and Partner-Testing, Interpretation of Results, and Linkage to Care📝 Rapidly Adaptable Automated Interpretation of Point-of-Care COVID-19 Diagnostics💻 Public repository for the machine learning pipelines of SMARTtest🔗 Example production machine learning pipeline for the INSTI test kitSTEM Education
Intelligent tutoring systems and informal learning methods to teach artificial intelligence to K-12.
📝 LogicLearner: A Tool for the Guided Practice of Propositional Logic Proofs📝 Hierarchical Multi-Armed Bandits for the Concurrent Intelligent Tutoring of Concepts and Problems of Varying Difficulty Levels📝 Teenagers and Artificial Intelligence: Bootcamp Experience and Lessons LearnedMedical Imaging with Deep Learning
Deep learning techniques for medical imaging. For example: longitudinal multiple sclerosis (MS) lesion segmentation and contrast-agnostic spinal cord segmentation.
📝 Contrast-agnostic Segmentation of the Spinal Cord Using Deep Learning📝 Team Neuropoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge📝 A Soft Segmentation Approach for New Multiple Sclerosis Lesion Detection (Poster)💻 Public repository for our submission to the MICCAI 2021 MS New Lesions Segmentation ChallengeComputational Neuroscience and Brain-Machine Interfaces
Formulation of computational models for understanding the brain and the development of brain-machine interfaces. For example: autonomous optimization of neuroprosthetic stimulation parameters for motor cortex and spinal cord outputs.
📝 Autonomous Optimization of Neuroprosthetic Stimulation Parameters That Drive the Motor Cortex and Spinal Cord Outputs in Rats and MonkeysRepresentation Learning
Investigating representation learning techniques for various application domains. For example: natural language processing and computer vision.
💻 Implementations for a family of attention mechanisms for applications in NLP💻 Comparatively finetuning BERT for various downstream NLP tasks💻 Implementations of several self-supervised pretext tasks for language and vision modalities💻 Simple, straight-forward extraction of acoustic and prosodic features from sound waves