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EIR: changing the scene of automatic detection software for gastrointestinal endoscopy In World Congress of GI Endoscopy, Edited by T. de Lange. Hyderabad, India: World Endoscopic Organisation, 2017.
From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System." ACM Transactions on Multimedia Computing, Communications, and Applications 13, no. 3 (2017).
from_annotation_to_computer-aided_diagnosis_detailed_evaluation_of_a_medical_multimedia_system.pdf (697.97 KB)
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Kvasir: A Multi-Class Image-Dataset for Computer Aided Gastrointestinal Disease Detection In ACM Multimedia Systems. Taiwan: ACM, 2017.
Nerthus: A Bowel Preparation Quality Video Dataset In ACM Multimedia Systems. Taipei: ACM, 2017.
Computer Aided Disease Detection System for Gastrointestinal Examinations In Multimedia Systems Conference 2016. New York: ACM, 2016.
Efficient Processing of Videos in a Multi Auditory Environment Using Device Lending of GPUs In The 7th International Conference on Multimedia Systems (MMSys). ACM, 2016.
a36-pogorelov.pdf (2.56 MB)

EIR - Efficient Computer Aided Diagnosis Framework for Gastrointestinal Endoscopies In International Workshop on Content-based Multimedia Indexing. IEEE / ACM, 2016.
Explorative Hyperbolic-Tree-Based Clustering Tool for Unsupervised Knowledge Discovery In International Workshop on Content-based Multimedia Indexing. IEEE / ACM, 2016.
GPU-accelerated Real-time Gastrointestinal Diseases Detection In CBMS 2016 : The 29th International Symposium on Computer-Based Medical Systems. IEEE, 2016.
Multimedia and Medicine: Teammates for Better Disease Detection and Survival In ACM Multimedia. Amsterdam, The Netherlands, The Netherlands: ACM, 2016.