Thomas de Lange

S. Ali, D. Jha, N. Ghatwary, S. Realdon, R. Cannizzaro, O. E. Salem, D. Lamarque, C. Daul, K. Anonsen, M. Riegler, K. V. Ånonsen, A. Petlund, P. Halvorsen, J. Rittscher, T. de Lange and J. E. East

A multi-center polyp detection and segmentation dataset for generalisability assessment

Nature Scientific Data

J. A. Fageren, V. Thambawita, A. Storås, S. Parasa, T. de Lange, P. Halvorsen and M. Riegler

PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps

IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)

S. Hicks, A. Storås, M. Riegler, C. Midoglu, M. Hammou, T. de Lange, S. Parasa, P. Halvorsen and I. Strümke

Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations

D. Jha, P. H. Smedsrud, D. Johansen, T. de Lange, H. D. Johansen, P. Halvorsen and M. Riegler

A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation

IEEE Journal of Biomedical and Health Informatics

D. Jha, S. Ali, S. Hicks, V. Thambawita, H. Borgli, P. H. Smedsrud, T. de Lange, K. Pogorelov, X. Wang, P. Harzig, M. Tran, W. Meng, T. Hoang, D. Dias, T. H. Ko, T. Agrawal, O. Ostroukhova, Z. Khan, M. A. Tahir, Y. Liu, Y. Chang, M. Kirkerød, D. Johansen, M. Lux, H. D. Johansen, M. Riegler and P. Halvorsen

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging

Medical Image Analysis

V. Thambawita, S. Hicks, J. Isaksen, M. H. Stensen, T. B. Haugen, J. Kanters, S. Parasa, T. de Lange, H. D. Johansen, D. Johansen, H. L. Hammer, P. Halvorsen and M. Riegler

DeepSynthBody: the beginning of the end for data deficiency in medicine

The International Conference on Applied Artificial Intelligence (ICAPAI)

D. Jha, S. Ali, K. Emanuelsen, S. Hicks, V. Thambawita, E. Garcia-Ceja, M. Riegler, T. de Lange, P. T. Schmidt, H. D. Johansen, D. Johansen and P. Halvorsen

Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy

27th International Conference on Multimedia Modeling

S. Hicks, D. Jha, V. Thambawita, H. L. Hammer, T. de Lange, S. Parasa, M. Riegler and P. Halvorsen

Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation

Mediaeval Medico 2021

D. Jha, N. K. Tomar, S. Ali, M. Riegler, H. D. Johansen, D. Johansen, T. de Lange and P. Halvorsen

NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy

34th IEEE CBMS International Symposium on Computer-Based Medical Systems

D. Jha, P. H. Smedsrud, M. Riegler, P. Halvorsen, H. D. Johansen, T. de Lange and D. Johansen

Kvasir-SEG: A Segmented Polyp Dataset

International Conference on Multimedia Modeling

D. Jha, S. Ali, K. Emanuelsen, S. Hicks, V. Thambawita, E. Garcia-Ceja, M. Riegler, T. de Lange, P. T. Schmidt, H. D. Johansen, D. Johansen and P. Halvorsen

Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy

International Conference on Multimedia Modeling

D. Jha, S. Hicks, K. Emanuelsen, H. D. Johansen, D. Johansen, T. de Lange, M. Riegler and P. Halvorsen

Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation

Medico MediaEval 2020

S. Hicks, P. H. Smedsrud, M. Riegler, T. de Lange, A. Petlund, S. L. Eskeland, K. Pogorelov, P. T. Schmidt and P. Halvorsen

Deep Learning for Automatic Generation of Endoscopy Reports

Gastrointestinal Endoscopy

M. Riegler, P. H. Smedsrud, T. de Lange and P. Halvorsen

Maskinlæringssystemer for gastrointestinale endoskopier

Best Practice Nordic - Gastroenterologi

D. Jha, P. H. Smedsrud, M. Riegler, D. Johansen, T. de Lange, P. Halvorsen and H. D. Johansen

ResUNet++: An Advanced Architecture for Medical Image Segmentation

2019 IEEE International Symposium on Multimedia (ISM)

R. Borgli, H. Borgli, K. Pogorelov, M. Riegler, J. Markussen, H. K. Stensland, P. Halvorsen, C. Griwodz, S. L. Eskeland and T. de Lange

Efficient Processing of Medical Videos in a Multi-auditory Environment Using Gpu Lending

P. H. Smedsrud, M. Riegler, T. de Lange, A. Petlund, S. L. Eskeland and P. Halvorsen

Kunstig intelligens for endoskopi – Automatisk deteksjon av lesjoner i sanntid

T. de Lange, P. Halvorsen and M. Riegler

Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy

World Journal of Gastroenterology

S. Hicks, K. Pogorelov, M. Lux, M. Jeppsson, K. R. Randel, T. de Lange, S. L. Eskeland, P. Halvorsen and M. Riegler

Comprehensible Reasoning and Automated Reporting of Medical Examinations Based on Deep Learning Analysis

Proceedings of the 9th ACM Multimedia Systems Conference

K. Pogorelov, O. Ostroukhova, M. Jeppsson, H. Espeland, C. Griwodz, T. de Lange, D. Johansen, M. Riegler and P. Halvorsen

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

31st IEEE CBMS International Symposium on Computer-Based Medical Systems

K. Pogorelov, O. Ostroukhova, A. Petlund, P. Halvorsen, T. de Lange, H. Espeland, T. Kupka, C. Griwodz and M. Riegler

Deep Learning and Handcrafted Feature Based Approaches for Automatic Detection of Angiectasia

2018 IEEE Conference on Biomedical and Health Informatics (BHI)

S. Hicks, M. Riegler, K. Pogorelov, T. de Lange, K. R. Randel, K. V. Ånonsen, M. Jeppsson, P. Halvorsen and S. L. Eskeland

Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding

31st IEEE CBMS International Symposium on Computer-Based Medical Systems

K. Pogorelov, M. Riegler, P. Halvorsen, S. Hicks, K. R. Randel, D. Dang-Nguyen, M. Lux, O. Ostroukhova and T. de Lange

Medico Multimedia Task at MediaEval 2018

Working Notes Proceedings of the MediaEval 2018 Workshop

S. Hicks, M. Lux, T. de Lange, K. R. Randel, M. Jeppsson, K. Pogorelov, P. Halvorsen and M. Riegler

Mimir: An Automatic Reporting and Reasoning System for Deep Learning based Analysis in the Medical Domain

Proceedings of the 9th ACM Multimedia Systems Conference

T. J. D. Berstad, M. Riegler, H. Espeland, T. de Lange, P. H. Smedsrud, K. Pogorelov, H. K. Stensland and P. Halvorsen

Tradeoffs using Binary and Multiclass Neural Network Classification for Medical Multidisease Detection

2018 IEEE International Symposium on Multimedia (ISM)

K. Pogorelov, O. Ostroukhova, A. Petlund, P. Halvorsen, H. Espeland, T. Kupka, T. de Lange, C. Griwodz and M. Riegler

Automatic Detection of Angiectasia: Evaluation of Deep Learning and Handcrafted Approaches

IEEE Conference on Biomedical and Health Informatics (BHI) 2018

K. Pogorelov, M. Riegler, S. L. Eskeland, T. de Lange, D. Johansen, C. Griwodz, P. T. Schmidt and P. Halvorsen

Efficient disease detection in gastrointestinal videos – global features versus neural networks

Multimedia Tools and Applications

M. Riegler, K. Pogorelov, S. L. Eskeland, P. T. Schmidt, Z. Albisser, D. Johansen, C. Griwodz, P. Halvorsen and T. de Lange

From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System

ACM Transactions on Multimedia Computing, Communications, and Applications

K. Pogorelov, S. L. Eskeland, T. de Lange, C. Griwodz, K. R. Randel, H. K. Stensland, D. Dang-Nguyen, C. Spampinato, D. Johansen, M. Riegler and P. Halvorsen

A Holistic Multimedia System for Gastrointestinal Tract Disease Detection

8th annual ACM conference on Multimedia Systems (MMSys)

K. Pogorelov, M. Riegler, P. Halvorsen, C. Griwodz, T. de Lange, K. R. Randel, S. L. Eskeland, D. Dang-Nguyen, O. Olga, M. Lux and C. Spampinato

A comparison of deep learning with global features for gastrointestinal disease detection

MediaEval Benchmark 2017

S. L. Eskeland, L. Aabakken, M. Riegler, K. Pogorelov, P. T. Schmidt, D. Johansen and P. Halvorsen

EIR: changing the scene of automatic detection software for gastrointestinal endoscopy

World Congress of GI Endoscopy

K. Pogorelov, K. Ranheim, C. Griwodz, T. de Lange, S. L. Eskeland, D. Johansen, P. T. Schmidt, C. Spampinato, D. Dang-Nguyen, M. Lux, M. Riegler and P. Halvorsen

Kvasir: A Multi-Class Image-Dataset for Computer Aided Gastrointestinal Disease Detection

ACM Multimedia Systems

M. Riegler, K. Pogorelov, P. Halvorsen, C. Griwodz, T. de Lange, K. R. Randel, S. L. Eskeland, D. Dang-Nguyen, M. Lux and C. Spampinato

Multimedia for medicine: the medico Task at mediaEval 2017

MediaEval Benchmark 2017

K. Pogorelov, K. Ranheim, T. de Lange, S. L. Eskeland, D. Johansen, C. Griwodz, C. Spampinato, M. Taschwer, M. Lux, P. T. Schmidt, M. Riegler and P. Halvorsen

Nerthus: A Bowel Preparation Quality Video Dataset

ACM Multimedia Systems

M. Riegler, K. Pogorelov, J. Markussen, M. Lux, H. K. Stensland, T. de Lange, C. Griwodz, P. Halvorsen, D. Johansen, P. T. Schmidt and S. L. Eskeland

Computer Aided Disease Detection System for Gastrointestinal Examinations

Multimedia Systems Conference 2016

M. Riegler, K. Pogorelov, P. Halvorsen, T. de Lange, C. Griwodz, D. Johansen, P. T. Schmidt and S. L. Eskeland

EIR - Efficient Computer Aided Diagnosis Framework for Gastrointestinal Endoscopies

International Workshop on Content-based Multimedia Indexing

K. Pogorelov, M. Riegler, J. Markussen, H. K. Stensland, P. Halvorsen, C. Griwodz, S. L. Eskeland and T. de Lange

Efficient Processing of Videos in a Multi Auditory Environment Using Device Lending of GPUs

The 7th International Conference on Multimedia Systems (MMSys)

M. Riegler, K. Pogorelov, M. Lux, P. Halvorsen, C. Griwodz, S. L. Eskeland and T. de Lange

Explorative Hyperbolic-Tree-Based Clustering Tool for Unsupervised Knowledge Discovery

International Workshop on Content-based Multimedia Indexing

K. Pogorelov, M. Riegler, P. Halvorsen, T. de Lange, P. T. Schmidt, S. L. Eskeland, C. Griwodz and D. Johansen

GPU-accelerated Real-time Gastrointestinal Diseases Detection

CBMS 2016 : The 29th International Symposium on Computer-Based Medical Systems

M. Riegler, C. Griwodz, C. Spampinato, T. de Lange, S. L. Eskeland, K. Pogorelov, W. Tavanapong, P. T. Schmidt, C. Gurrin, D. Johansen, H. Johansen and P. Halvorsen

Multimedia and Medicine: Teammates for Better Disease Detection and Survival

ACM Multimedia