Rickard Sjögren
Orcid: 0000-0001-7881-0968
According to our database1,
Rickard Sjögren
authored at least 9 papers
between 2019 and 2023.
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Bibliography
2023
Numerical simulation of the general rate model of chromatography using orthogonal collocation.
Comput. Chem. Eng., February, 2023
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
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