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Ilangko Balasingham
Researcher at Norwegian University of Science and Technology
Publications - 301
Citations - 5332
Ilangko Balasingham is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Wireless sensor network & Wireless. The author has an hindex of 34, co-authored 277 publications receiving 4189 citations. Previous affiliations of Ilangko Balasingham include University of Oslo & Rikshospitalet–Radiumhospitalet.
Papers
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Journal ArticleDOI
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge
Jorge Bernal,Nima Tajkbaksh,Francisco Javier Sánchez,Bogdan J. Matuszewski,Hao Chen,Lequan Yu,Quentin Angermann,Olivier Romain,Bjorn Rustad,Ilangko Balasingham,Konstantin Pogorelov,Sungbin Choi,Quentin Debard,Lena Maier-Hein,Stefanie Speidel,Danail Stoyanov,Patrick Brandao,Henry Córdova,Cristina Sánchez-Montes,Suryakanth R. Gurudu,Gloria Fernández-Esparrach,Xavier Dray,Jianming Liang,Aymeric Histace +23 more
TL;DR: Results show that convolutional neural networks are the state of the art in polyp detection and it is also demonstrated that combining different methodologies can lead to an improved overall performance.
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On the Opportunities and Challenges in Microwave Medical Sensing and Imaging
TL;DR: This paper presents a comprehensive overview of the active MSI for various medical applications, for which the motivation, challenges, possible solutions, and future directions are discussed.
Journal ArticleDOI
Automatic Colon Polyp Detection Using Region Based Deep CNN and Post Learning Approaches
TL;DR: A recent region-based convolutional neural network (CNN) approach is applied for the automatic detection of polyps in the images and videos obtained from colonoscopy examinations using a deep-CNN model (Inception Resnet) as a transfer learning scheme in the detection system.
Proceedings ArticleDOI
Risk-based adaptive security for smart IoT in eHealth
Habtamu Abie,Ilangko Balasingham +1 more
TL;DR: A risk-based adaptive security framework for IoTs in eHealth that will estimate and predict risk damages and future benefits using game theory and context-awareness techniques is described.
Journal ArticleDOI
Propagation models for IEEE 802.15.6 standardization of implant communication in body area networks
Raul Chavez-Santiago,K. Sayrafian-Pour,Ali Khaleghi,Kenichi Takizawa,Jianqing Wang,Ilangko Balasingham,Huan-Bang Li +6 more
TL;DR: This article outlines some of the research that has been done to obtain accurate propagation models supporting the standardization of implant communication in BANs and current research to enhance the channel models of IEEE Std 802.15.6.