EIR - Efficient computer aided diagnosis framework for gastrointestinal endoscopies. - Michael Riegler 001; Konstantin Pogorelov; Pål Halvorsen; Thomas de Lange; Carsten Griwodz; Peter Thelin Schmidt; Sigrun Losada Eskeland; Dag Johansen (CBMI, 2016)

Explorative hyperbolic-tree-based clustering tool for unsupervised knowledge discovery. - Michael Riegler 001; Konstantin Pogorelov; Mathias Lux; Pål Halvorsen; Carsten Griwodz; Thomas de Lange; Sigrun Losada Eskeland (CBMI, 2016)

GPU-Accelerated Real-Time Gastrointestinal Diseases Detection. - Konstantin Pogorelov; Michael Riegler 001; Pål Halvorsen; Peter Thelin Schmidt; Carsten Griwodz; Dag Johansen; Sigrun Losada Eskeland; Thomas de Lange (CBMS, 2016)

Multimedia and Medicine: Teammates for Better Disease Detection and Survival. - Michael Riegler 001; Mathias Lux; Carsten Griwodz; Concetto Spampinato; Thomas de Lange; Sigrun Losada Eskeland; Konstantin Pogorelov; Wallapak Tavanapong; Peter Thelin Schmidt; Cathal Gurrin; Dag Johansen; Håvard D. Johansen; et al. (ACM Multimedia, 2016)

Efficient processing of videos in a multi-auditory environment using device lending of GPUs. - Konstantin Pogorelov; Michael Riegler 001; Jonas Markussen; Håkon Kvale Stensland; Pål Halvorsen; Carsten Griwodz; Sigrun Losada Eskeland; Thomas de Lange (MMSys, 2016)

Computer aided disease detection system for gastrointestinal examinations. - Michael Riegler 001; Konstantin Pogorelov; Jonas Markussen; Mathias Lux; Håkon Kvale Stensland; Thomas de Lange; Carsten Griwodz; Pål Halvorsen; Dag Johansen; Peter Thelin Schmidt; Sigrun Losada Eskeland (MMSys, 2016)

A Comparison of Deep Learning with Global Features for Gastrointestinal Disease Detection. - Konstantin Pogorelov; Michael Riegler 001; Pål Halvorsen; Carsten Griwodz; Thomas de Lange; Kristin Ranheim Randel; Sigrun Losada Eskeland; Duc-Tien Dang-Nguyen; Olga Ostroukhova; Mathias Lux; Concetto Spampinato (MediaEval, 2017)

Multimedia for Medicine: The Medico Task at MediaEval 2017. - Michael Riegler 001; Konstantin Pogorelov; Pål Halvorsen; Kristin Ranheim Randel; Sigrun Losada Eskeland; Duc-Tien Dang-Nguyen; Mathias Lux; Carsten Griwodz; Concetto Spampinato; Thomas de Lange (MediaEval, 2017)

A Holistic Multimedia System for Gastrointestinal Tract Disease Detection. - Konstantin Pogorelov; Sigrun Losada Eskeland; Thomas de Lange; Carsten Griwodz; Kristin Ranheim Randel; Håkon Kvale Stensland; Duc-Tien Dang-Nguyen; Concetto Spampinato; Dag Johansen; Michael Riegler 001; Pål Halvorsen (MMSys, 2017)

KVASIR: A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection. - Konstantin Pogorelov; Kristin Ranheim Randel; Carsten Griwodz; Sigrun Losada Eskeland; Thomas de Lange; Dag Johansen; Concetto Spampinato; Duc-Tien Dang-Nguyen; Mathias Lux; Peter Thelin Schmidt; Michael Riegler 001; Pål Halvorsen (MMSys, 2017)

Nerthus: A Bowel Preparation Quality Video Dataset. - Konstantin Pogorelov; Kristin Ranheim Randel; Thomas de Lange; Sigrun Losada Eskeland; Carsten Griwodz; Dag Johansen; Concetto Spampinato; Mario Taschwer; Mathias Lux; Peter Thelin Schmidt; Michael Riegler 001; Pål Halvorsen (MMSys, 2017)

Efficient disease detection in gastrointestinal videos - global features versus neural networks. - Konstantin Pogorelov; Michael Riegler 001; Sigrun Losada Eskeland; Thomas de Lange; Dag Johansen; Carsten Griwodz; Peter Thelin Schmidt; Pål Halvorsen (Multim. Tools Appl., 2017)

From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System. - Michael Riegler 001; Konstantin Pogorelov; Sigrun Losada Eskeland; Peter Thelin Schmidt; Zeno Albisser; Dag Johansen; Carsten Griwodz; Pål Halvorsen; Thomas de Lange (ACM Trans. Multim. Comput. Commun. Appl., 2017)

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 001 (BHI, 2018)

Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding. - Steven Alexander Hicks; Michael Riegler 001; Konstantin Pogorelov; Kim V. Anonsen; Thomas de Lange; Dag Johansen; Mattis Jeppsson; Kristin Ranheim Randel; Sigrun Losada Eskeland; Pål Halvorsen (CBMS, 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 001; Pål Halvorsen (CBMS, 2018)

Tradeoffs Using Binary and Multiclass Neural Network Classification for Medical Multidisease Detection. - Tor Jan Derek Berstad; Michael Riegler 001; Håvard Espeland; Thomas de Lange; Pia Helen Smedsrud; Konstantin Pogorelov; Håkon Kvale Stensland; Pål Halvorsen (ISM, 2018)

Medico Multimedia Task at MediaEval 2018. - Konstantin Pogorelov; Michael Riegler 001; Pål Halvorsen; Steven Alexander Hicks; Kristin Ranheim Randel; Duc-Tien Dang-Nguyen; Mathias Lux; Olga Ostroukhova; Thomas de Lange (MediaEval, 2018)

Mimir: an automatic reporting and reasoning system for deep learning based analysis in the medical domain. - Steven Alexander Hicks; Sigrun Losada Eskeland; Mathias Lux; Thomas de Lange; Kristin Ranheim Randel; Mattis Jeppsson; Konstantin Pogorelov; Pål Halvorsen; Michael Riegler 001 (MMSys, 2018)

Comprehensible reasoning and automated reporting of medical examinations based on deep learning analysis. - Steven Alexander Hicks; Konstantin Pogorelov; Thomas de Lange; Mathias Lux; Mattis Jeppsson; Kristin Ranheim Randel; Sigrun Losada Eskeland; Pål Halvorsen; Michael Riegler 001 (MMSys, 2018)

ResUNet++: An Advanced Architecture for Medical Image Segmentation. - Debesh Jha; Pia H. Smedsrud; Michael A. Riegler; Dag Johansen; Thomas de Lange; Pål Halvorsen; Håvard D. Johansen (ISM, 2019)

ACM Multimedia BioMedia 2019 Grand Challenge Overview. - Steven Alexander Hicks; Michael Riegler 001; Pia H. Smedsrud; Trine B. Haugen; Kristin Ranheim Randel; Konstantin Pogorelov; Håkon Kvale Stensland; Duc-Tien Dang-Nguyen; Mathias Lux; Andreas Petlund; Thomas de Lange; Peter Thelin Schmidt; et al. (ACM Multimedia, 2019)

Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation. - Debesh Jha; Steven Hicks; Krister Emanuelsen; Håvard D. Johansen; Dag Johansen; Thomas de Lange; Michael A. Riegler; Pål Halvorsen (MediaEval, 2020)

Kvasir-SEG: A Segmented Polyp Dataset. - Debesh Jha; Pia H. Smedsrud; Michael A. Riegler; Pål Halvorsen; Thomas de Lange; Dag Johansen; Håvard D. Johansen (MMM (2), 2020)

NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. - Debesh Jha; Nikhil Kumar Tomar; Sharib Ali; Michael A. Riegler; Håvard D. Johansen; Dag Johansen; Thomas de Lange; Pål Halvorsen (CBMS, 2021)

Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation. - Steven Hicks; Debesh Jha; Vajira Thambawita; Hugo Hammer; Thomas de Lange; Sravanthi Parasa; Michael Riegler 001; Pål Halvorsen (MediaEval, 2021)

Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy. - Debesh Jha; Sharib Ali; Krister Emanuelsen; Steven Alexander Hicks; Vajira Thambawita; Enrique Garcia-Ceja; Michael A. Riegler; Thomas de Lange; Peter Thelin Schmidt; Håvard D. Johansen; Dag Johansen; Pål Halvorsen (MMM (2), 2021)

PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment. - Sharib Ali; Debesh Jha; Noha M. Ghatwary; Stefano Realdon; Renato Cannizzaro; Osama E. Salem; Dominique Lamarque; Christian Daul; Kim V. Anonsen; Michael A. Riegler; Pål Halvorsen; Jens Rittscher; et al. (CoRR, 2021)

SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation. - Vajira Thambawita; Pegah Salehi; Sajad Amouei Sheshkal; Steven Alexander Hicks; Hugo Lewi Hammer; Sravanthi Parasa; Thomas de Lange; Pål Halvorsen; Michael A. Riegler (CoRR, 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; et al. (Medical Image Anal., 2021)

A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation. - Debesh Jha; Pia H. Smedsrud; Dag Johansen; Thomas de Lange; Håvard D. Johansen; Pål Halvorsen; Michael A. Riegler (IEEE J. Biomed. Health Informatics, 2021)

PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps. - Jan Andre Fagereng; Vajira Thambawita; Andrea M. Storås; Sravanthi Parasa; Thomas de Lange; Pål Halvorsen; Michael A. Riegler (CBMS, 2022)

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. - Sharib Ali; Noha M. Ghatwary; Debesh Jha; Ece Isik-Polat; Gorkem Polat; Chen Yang 026; Wuyang Li; Adrian Galdran; Miguel Ángel González Ballester; Vajira Thambawita; Steven Hicks; Sahadev Poudel; et al. (CoRR, 2022)

Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations. - Steven Hicks; Andrea M. Storås; Michael Riegler 001; Cise Midoglu; Malek Hammou; Thomas de Lange; Sravanthi Parasa; Pål Halvorsen; Inga Strümke (CoRR, 2022)

Man vs. AI: An in silico study of polyp detection performance. - Pia Helen Smedsrud; Håvard Espeland; Tor Jan Derek Berstad; Andreas Petlund; Thomas de Lange; Michael A. Riegler; Pål Halvorsen (CBMS, 2023)

Overview of ImageCLEFmedical 2023 - Medical Visual Question Answering for Gastrointestinal Tract. - Steven Hicks; Andrea M. Storås; Pål Halvorsen; Thomas de Lange; Michael Riegler 001; Vajira Thambawita (CLEF (Working Notes), 2023)

ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. - Bogdan Ionescu; Henning Müller; Ana-Maria Claudia Dragulinescu; Adrian Popescu 001; Ahmad Idrissi-Yaghir; Alba García Seco de Herrera; Alexandra Andrei; Alexandru Stan; Andrea M. Storås; Asma Ben Abacha; Christoph M. Friedrich; George Ioannidis; et al. (ECIR (3), 2023)

Image Captioning for Automated Grading and Understanding of Ulcerative Colitis. - Flor Helena Valencia; Daniel Flores-Araiza; Obed Cerda; Venkataraman Subramanian; Thomas de Lange; Gilberto Ochoa-Ruiz; Sharib Ali (CaPTion@MICCAI, 2023)

GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. - Debesh Jha; Vanshali Sharma; Neethi Dasu; Nikhil Kumar Tomar; Steven Hicks; Manas Kamal Bhuyan; Pradip K. Das; Michael A. Riegler; Pål Halvorsen; Ulas Bagci; Thomas de Lange (ML4MHD, 2023)

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. - Debesh Jha; Vanshali Sharma; Debapriya Banik; Debayan Bhattacharya; Kaushiki Roy; Steven Alexander Hicks; Nikhil Kumar Tomar; Vajira Thambawita; Adrian Krenzer; Ge-Peng Ji; Sahadev Poudel; George Batchkala; et al. (CoRR, 2023)

Colour Channel Separation and Recombination of Images to Improve Object Detection of Diffuse Characters. - Mayank Roy; Anne Håkansson; Ann-Sofie Backman; Camilla Wijkström; Jonas Varkey; Naz Mohammed Salih; Nikolaos Papachrysos; Olle Mannheimer; Peter Thelin Schmidt; Stephan Brackmann; Thomas de Lange (KES, 2024)

PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy. - Debesh Jha; Nikhil Kumar Tomar; Vanshali Sharma; Quoc-Huy Trinh; Koushik Biswas; Hongyi Pan; Ritika Kumari Jha; Gorkem Durak; Alexander Hann; Jonas Varkey; Hang Viet Dao; Long Van Dao; et al. (CoRR, 2024)

ViTCA-Net: a framework for disease detection in video capsule endoscopy images using a vision transformer and convolutional neural network with a specific attention mechanism. - Yassine Oukdach; Zakaria Kerkaou; Mohamed El Ansari; Lahcen Koutti; Ahmed Fouad El Ouafdi; Thomas de Lange (Multim. Tools Appl., 2024)

POCACO: Polyp Videos for CADe Comparison. - Pia Helen Smedsrud; Nikolaos Papachrysos; Tor Jan Derek Berstad; Thomas de Lange; Kim V. Anonsen; Håvard Espeland; Andreas Petlund; Per Hedenström; Pål Halvorsen; Jonas Varkey; Hugo Lewi Hammer; Michael Riegler 001 (Zenodo, 2024)

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. - Debesh Jha; Vanshali Sharma; Debapriya Banik; Debayan Bhattacharya; Kaushiki Roy; Steven Alexander Hicks; Nikhil Kumar Tomar; Vajira Thambawita; Adrian Krenzer; Ge-Peng Ji; Sahadev Poudel; George Batchkala; et al. (Medical Image Anal., 2025)

FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention. - Jun Zeng 007; KC Santosh; Deepak Rajan Nayak; Thomas de Lange; Jonas Varkey; Tyler M. Berzin; Debesh Jha (CoRR, 2025)