Michael Alexander Riegler
← Back to OsloMet – Oslo Metropolitan University
OsloMet – Oslo Metropolitan University
Michael Alexander Riegler works in Colorectal Cancer Screening and Detection, AI in cancer detection, Advanced Neural Network Applications, Image Retrieval and Classification Techniques, Medical Image Segmentation Techniques. Recorded institutional associations include OsloMet – Oslo Metropolitan University, Georgetown University, Simula Research Laboratory.
Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.
Selected research works
Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.
Kvasir-SEG: A Segmented Polyp Dataset
2019 · 1,661 citationsResUNet++: An Advanced Architecture for Medical Image Segmentation
2019 · 1,330 citationsOn evaluation metrics for medical applications of artificial intelligence
2022 · 934 citationsKVASIR
2017 · 684 citationsHyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
2020 · 564 citationsMetrics reloaded: recommendations for image analysis validation
2024 · 470 citationsReal-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
2021 · 399 citationsMental health monitoring with multimodal sensing and machine learning: A survey
2018 · 355 citationsA Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation
2021 · 345 citationsKvasir-Capsule, a video capsule endoscopy dataset
2021 · 290 citationsFANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
2022 · 252 citationsUnderstanding metric-related pitfalls in image analysis validation
2024 · 212 citationsA multi-centre polyp detection and segmentation dataset for generalisability assessment
2023 · 167 citationsTransforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence
2025 · 164 citationsTiling in Interactive Panoramic Video: Approaches and Evaluation
2016 · 160 citationsDDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
2021 · 136 citationsSinGAN-Seg: Synthetic training data generation for medical image segmentation
2022 · 129 citationsImpact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images
2021 · 129 citationsDepresjon
2018 · 111 citationsDeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine
2021 · 108 citationsMachine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction
2019 · 95 citationsKvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy
2021 · 94 citationsArtificial intelligence in the fertility clinic: status, pitfalls and possibilities
2021 · 90 citationsComparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge
2020 · 88 citations[Invited papers] Comparing Approaches to Interactive Lifelog Search at the Lifelog Search Challenge (LSC2018)
2019 · 86 citations