1. Presentation Slides Paper: COVID-19 detection from thermal image and tabular medical data utilizing multi-modal machine learning, Codes & Results Slides Download Link 2. Presentation Slides Paper: FedSepsis: A Federated Multi-Modal Deep Learning-Based Internet of Medical Things Application for Early Detection of Sepsis from Electronic Health Records Using Raspberry Pi and Jetson Nano Devices, Codes Slides Download Link 3. Presentation Video Paper: Exploring LRP and Grad-CAM visualization to interpret multi-label-multi-class pathology prediction using chest radiography, Best Student Paper Award, Codes & Results Presentation Video Download Link 4. Poster Presentation Paper: Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application Poster Download Link 5. Presentation Slides Paper: Terminology Expansion with Prototype Embeddings: Extracting Symptoms of Urinary Tract Infection from Clinical Text. Slides Download Link 6. Presentation Video Paper: Intelligent context-based healthcare metadata aggregator in internet of medical things platform Presentation Video Download Link 7. Presentation Video Paper: Deep Learning from Heterogeneous Sequences of Sparse Medical Data for Early Prediction of Sepsis, Best Paper Award Presentation Video Download Link 8. Presentation Slides Paper: From speech to image; a novel approach to understand the hidden layer mechanisms of deep neural networks in automatic speech recognition. Slides Download Link, Codes