Thomas de Lange
External collaborator
Publications
Simula-affiliated publications listed
2023
Journal Articles
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
2022
Proceedings, refereed
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)
Miscellaneous
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
2021
Journal Articles
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
Proceedings, refereed
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
2020
Proceedings, refereed
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
2019
Journal Articles
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
Proceedings, refereed
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)
Posters
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
Miscellaneous
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
2018
Journal Articles
T. de Lange, P. Halvorsen and M. Riegler
Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy
World Journal of Gastroenterology
Proceedings, refereed
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)
Talks, keynote
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
2017
Journal Articles
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
Proceedings, refereed
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
2016
Proceedings, refereed
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