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Mahbub Ul Alam 0001
Person information
- affiliation: Stockholm University, Department of Computer and System Sciences, Sweden
Other persons with the same name
- Mahbub Ul Alam 0002 — Flora Telecom Ltd, Dhaka, Bangladesh
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2020 – today
- 2024
- [b1]Mahbub Ul Alam:
Advancing Clinical Decision Support Using Machine Learning & the Internet of Medical Things: Enhancing COVID-19 & Early Sepsis Detection. Stockholm University, Sweden, 2024 - 2023
- [j2]Mahbub Ul Alam
, Rahim Rahmani
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. Sensors 23(2): 970 (2023) - [c6]Mahbub Ul Alam
COVID-19 detection from thermal image and tabular medical data utilizing multi-modal machine learning. CBMS 2023: 646-653 - [i1]Mahbub Ul Alam
SHAMSUL: Simultaneous Heatmap-Analysis to investigate Medical Significance Utilizing Local interpretability methods. CoRR abs/2307.08003 (2023) - 2022
- [c5]Mahbub Ul Alam
Exploring LRP and Grad-CAM visualization to interpret multi-label-multi-class pathology prediction using chest radiography. CBMS 2022: 258-263 - 2021
- [j1]Mahbub Ul Alam
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. Sensors 21(15): 5025 (2021) - [c4]Mahbub Ul Alam, Aron Henriksson, Hideyuki Tanushi, Emil Thiman, Pontus Nauclér, Hercules Dalianis:
Terminology Expansion with Prototype Embeddings: Extracting Symptoms of Urinary Tract Infection from Clinical Text. HEALTHINF 2021: 47-57 - 2020
- [c3]Mahbub Ul Alam, Aron Henriksson, John Karlsson Valik, Logan Morgan Ward, Pontus Nauclér, Hercules Dalianis:
Deep Learning from Heterogeneous Sequences of Sparse Medical Data for Early Prediction of Sepsis. HEALTHINF 2020: 45-55 - [c2]Mahbub Ul Alam
Cognitive Internet of Medical Things Architecture for Decision Support Tool to Detect Early Sepsis Using Deep Learning. BIOSTEC (Selected Papers) 2020: 366-384 - [c1]Mahbub Ul Alam
Intelligent context-based healthcare metadata aggregator in internet of medical things platform. FNC/MobiSPC 2020: 411-418
Coauthor Index
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