Johan Trygg
Orcid: 0000-0003-3799-6094
According to our database1,
Johan Trygg
authored at least 24 papers
between 2005 and 2025.
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Bibliography
2025
OPLS-Based Multiclass Classification and Data-Driven Interclass Relationship Discovery.
J. Chem. Inf. Model., 2025
Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025
2024
CellGenie: An End-to-End Pipeline for Synthetic Cellular Data Generation and Segmentation: A Use Case for Cell Segmentation in Microscopic Images.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024
Bounding Box Is All You Need: Learning to Segment Cells in 2D Microscopic Images via Box Annotations.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
2023
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023
PACE: Point Annotation-Based Cell Segmentation for Efficient Microscopic Image Analysis.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
2022
Toward Delicate Anomaly Detection of Energy Consumption for Buildings: Enhance the Performance From Two Levels.
IEEE Access, 2022
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
DeepMuCS: A Framework for Co-culture Microscopic Image Analysis: From Generation to Segmentation.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
Out-of-Distribution Example Detection in Deep Neural Networks using Distance to Modelled Embedding.
CoRR, 2021
Multiblock variable influence on orthogonal projections (MB-VIOP) for enhanced interpretation of total, global, local and unique variations in OnPLS models.
BMC Bioinform., 2021
IEEE Access, 2021
DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images.
Proceedings of the International Joint Conference on Neural Networks, 2021
L2S-MirLoc: A Lightweight Two Stage MiRNA Sub-Cellular Localization Prediction Framework.
Proceedings of the International Joint Conference on Neural Networks, 2021
DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2019
doepipeline: a systematic approach to optimizing multi-level and multi-step data processing workflows.
BMC Bioinform., 2019
2012
Dynamic ultrasound imaging - A multivariate approach for the analysis and comparison of time-dependent musculoskeletal movements.
BMC Medical Imaging, 2012
2010
BMC Medical Imaging, 2010
2008
BMC Bioinform., 2008
K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space.
BMC Bioinform., 2008
2007
Orthogonal projections to latent structures as a strategy for microarray data normalization.
BMC Bioinform., 2007
2006
Bioinform., 2006
2005