Olga Ostroukhova

According to our database, Olga Ostroukhova authored at least 9 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging.

Debesh Jha, Sharib Ali, Steven Alexander Hicks, Vajira Thambawita, Hanna Borgli, Pia H. Smedsrud, Thomas de Lange, Konstantin Pogorelov, Xiaowei Wang, Philipp Harzig, Minh-Triet Tran, Wenhua Meng, Trung-Hieu Hoang, Danielle Dias, Tobey H. Ko, Taruna Agrawal, Olga Ostroukhova, Zeshan Khan, Muhammad Atif Tahir, Yang Liu, Yuan Chang, Mathias Kirkerød, Dag Johansen, Mathias Lux, Håvard D. Johansen, Michael A. Riegler, Pål Halvorsen

Medical Image Anal., 2021

2019

Automatic detection of passable roads after floods in remote sensed and social media data.

Kashif Ahmad, Konstantin Pogorelov, Michael Riegler, Olga Ostroukhova, Pål Halvorsen, Nicola Conci, Rozenn Dahyot

Signal Process. Image Commun., 2019

2018

Opensea: open search based classification tool.

Konstantin Pogorelov, Zeno Albisser, Olga Ostroukhova, Mathias Lux, Dag Johansen, Pål Halvorsen, Michael Riegler

Proceedings of the 9th ACM Multimedia Systems Conference, 2018

Deep Learning Approaches for Flood Classification and Flood Aftermath Detection.

Naina Said, Konstantin Pogorelov, Kashif Ahmad, Michael Riegler, Nasir Ahmad, Olga Ostroukhova, Pål Halvorsen, Nicola Conci

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Medico Multimedia Task at MediaEval 2018.

Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Steven Alexander Hicks, Kristin Ranheim Randel, Duc-Tien Dang-Nguyen, Mathias Lux, Olga Ostroukhova, Thomas de Lange

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Transfer Learning with Prioritized Classification and Training Dataset Equalization for Medical Objects Detection.

Olga Ostroukhova, Konstantin Pogorelov, Michael Riegler, Duc-Tien Dang-Nguyen, Pål Halvorsen

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Deep Learning and Hand-Crafted Feature Based Approaches for Polyp Detection in Medical Videos.

Konstantin Pogorelov, Olga Ostroukhova, Mattis Jeppsson, Håvard Espeland, Carsten Griwodz, Thomas de Lange, Dag Johansen, Michael Riegler, Pål Halvorsen

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Deep learning and handcrafted feature based approaches for automatic detection of angiectasia.

Konstantin Pogorelov, Olga Ostroukhova, Andreas Petlund, Pål Halvorsen, Thomas de Lange, Håvard Nygaard Espeland, Tomas Kupka, Carsten Griwodz, Michael Riegler

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017

A Comparison of Deep Learning with Global Features for Gastrointestinal Disease Detection.

Konstantin Pogorelov, Michael Riegler, Pål Halvorsen, Carsten Griwodz, Thomas de Lange, Kristin Ranheim Randel, Sigrun Losada Eskeland, Duc-Tien Dang-Nguyen, Olga Ostroukhova, Mathias Lux, Concetto Spampinato

Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017