Deep Learning from Heterogeneous Sequences of Sparse Medical Data for Early Prediction of Sepsis. - Mahbub Ul Alam 001; Aron Henriksson; John Karlsson Valik; Logan Morgan Ward; Pontus Nauclér; Hercules Dalianis (HEALTHINF, 2020)

Cognitive Internet of Medical Things Architecture for Decision Support Tool to Detect Early Sepsis Using Deep Learning. - Mahbub Ul Alam 001; Rahim Rahmani (BIOSTEC (Selected Papers), 2020)

Intelligent context-based healthcare metadata aggregator in internet of medical things platform. - Mahbub Ul Alam 001; Rahim Rahmani (FNC/MobiSPC, 2020)

Terminology Expansion with Prototype Embeddings: Extracting Symptoms of Urinary Tract Infection from Clinical Text. - Mahbub Ul Alam 001; Aron Henriksson; Hideyuki Tanushi; Emil Thiman; Pontus Nauclér; Hercules Dalianis (HEALTHINF, 2021)

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. - Mahbub Ul Alam 001; Rahim Rahmani (Sensors, 2021)

Exploring LRP and Grad-CAM visualization to interpret multi-label-multi-class pathology prediction using chest radiography. - Mahbub Ul Alam 001; Jón Rúnar Baldvinsson; Yuxia Wang (CBMS, 2022)

COVID-19 detection from thermal image and tabular medical data utilizing multi-modal machine learning. - Mahbub Ul Alam 001; Jaakko Hollmén; Rahim Rahmani (CBMS, 2023)

SHAMSUL: Simultaneous Heatmap-Analysis to investigate Medical Significance Utilizing Local interpretability methods. - Mahbub Ul Alam 001; Jaakko Hollmén; Jón Rúnar Baldvinsson; Rahim Rahmani (CoRR, 2023)

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. - Mahbub Ul Alam 001; Rahim Rahmani (Sensors, 2023)

Advancing Clinical Decision Support Using Machine Learning & the Internet of Medical Things: Enhancing COVID-19 & Early Sepsis Detection. - Mahbub Ul Alam 001 (2024)