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Umair Javaid

Senior Researcher

Umair Javaid graduated with PhD in Engineering Sciences and Technology from UCLouvain in 2021. He is currently working on Blockchain application for trust enhancement and efficient communication in business processes.

Projects

B-TEEC

MED

Publications

2021

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Barragan Montero, Ana Maria ; Javaid, Umair ; Valdés, Gilmer ; Nguyen, Dan ; Desbordes, Paul ; Macq, Benoît ; Willems, Siri ; Vandewinckele, Liesbeth ; Holmström, Mats ; Löfman, Fredrik ; et al. Artificial intelligence and machine learning for medical imaging: A technology review in Physica Medica

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Javaid, Umair. Automated image segmentation and accelerated dose calculation for proton therapy using deep convolutional neural networks - Thèse (Dissertation)

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Javaid, Umair ; Souris, Kevin ; Huang, Sheng ; Lee, John Aldo. Denoising proton therapy Monte Carlo dose distributions in multiple tumor sites: A comparative neural networks architecture study. in Physica medica

2020

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Javaid, Uzair ; Jameel, Furqan ; Javaid, Umair ; Raza Khan, Muhammad Toaha ; Jäntti, Riku ; Li, Zengpeng. Rogue Device Mitigation in the Internet of Things: A Blockchain-Based Access Control Approach in Mobile Information Systems

2019

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Javaid, Umair ; Souris, Kevin ; Dasnoy-Sumell, Damien ; Huang, Sheng ; Lee, John Aldo. Mitigating inherent noise in Monte Carlo dose distributions using dilated U‐Net in Medical Physics

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Javaid, Umair ; Dasnoy-Sumell, Damien ; Lee, John Aldo. Semantic segmentation of computed tomography for radiotherapy with deep learning: compensating insufficient annotation quality using contour augmentation in Image Processing, San Diego, United States, du 16/2/2019 au 21/2/2019

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Brion, Eliott ; Léger, Jean ; Javaid, Umair ; Lee, John Aldo ; De Vleeschouwer, Christophe ; Macq, Benoît. Using planning CTs to enhance CNN-based bladder segmentation on Cone Beam CT in Proceedings of SPIE Medical Imaging 2019SPIE Medical Imaging 2019, San Diego, California, United States, du 16/02/2019 au 21/02/2019

2018

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Javaid, Umair ; Lee, John Aldo. Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks in European Symposium on Artificial Neural Networks - ESANN'18, Bruges, Belgium, du 25/04/2018 au 27/04/2018

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Léger, Jean ; Brion, Eliott ; Javaid, Umair ; Lee, John Aldo ; De Vleeschouwer, Christophe ; Macq, Benoît. Contour Propagation in CT Scans with Convolutional Neural Networks in Advanced Concepts for Intelligent Vision Systems, France, du 24/09/2018 au 27/09/2018

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Javaid, Umair ; Dasnoy-Sumell, Damien ; Lee, John Aldo. Multi-organ Segmentation of Chest CT Images in Radiation Oncology: Comparison of Standard and Dilated UNet in Advanced Concepts for Intelligent Vision Systems - ACIVS'18, Poitiers, France, du 24/09/2018 au 27/09/2018