Michael A. Riegler

Research interests

Publications

• Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence

  Advanced Materials · 2025 · https://doi.org/10.1002/adma.202500412

• Metrics reloaded: recommendations for image analysis validation

  Nature Methods · 2024 · https://doi.org/10.1038/s41592-023-02151-z

• Understanding metric-related pitfalls in image analysis validation

  Nature Methods · 2024 · https://doi.org/10.1038/s41592-023-02150-0

• A multi-centre polyp detection and segmentation dataset for generalisability assessment

  Scientific Data · 2023 · https://doi.org/10.1038/s41597-023-01981-y

• On evaluation metrics for medical applications of artificial intelligence

  Scientific Reports · 2022 · https://doi.org/10.1038/s41598-022-09954-8

• FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

  IEEE Transactions on Neural Networks and Learning Systems · 2022 · https://doi.org/10.1109/tnnls.2022.3159394

• SinGAN-Seg: Synthetic training data generation for medical image segmentation

  PLoS ONE · 2022 · https://doi.org/10.1371/journal.pone.0267976

• Kvasir-Capsule, a video capsule endoscopy dataset

  Scientific Data · 2021 · https://doi.org/10.1038/s41597-021-00920-z

• Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning

  IEEE Access · 2021 · https://doi.org/10.1109/access.2021.3063716

• DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation

  Lecture notes in computer science · 2021 · https://doi.org/10.1007/978-3-030-68793-9_23

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

  IEEE Journal of Biomedical and Health Informatics · 2021 · https://doi.org/10.1109/jbhi.2021.3049304

• Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images

  Diagnostics · 2021 · https://doi.org/10.3390/diagnostics11122183

• HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

  Scientific Data · 2020 · https://doi.org/10.1038/s41597-020-00622-y

• Kvasir-SEG: A Segmented Polyp Dataset

  Lecture notes in computer science · 2019 · https://doi.org/10.1007/978-3-030-37734-2_37

• ResUNet++: An Advanced Architecture for Medical Image Segmentation

  IEEE International Symposium on Multimedia (ISM) · 2019 · https://doi.org/10.1109/ism46123.2019.00049

• Depresjon

  ACM Multimedia Systems Conference (MMSys) · 2018 · https://doi.org/10.1145/3204949.3208125

• Mental health monitoring with multimodal sensing and machine learning: A survey

  Pervasive and Mobile Computing · 2018 · https://doi.org/10.1016/j.pmcj.2018.09.003

• KVASIR

  Journal · 2017 · https://doi.org/10.1145/3083187.3083212

• Tiling in Interactive Panoramic Video: Approaches and Evaluation

  IEEE Transactions on Multimedia · 2016 · https://doi.org/10.1109/tmm.2016.2586304

Current projects

No projects listed.