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Rickard Sjögren
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Books and Theses
- 2021
- [b1]Rickard Sjögren:
Synergies between Chemometrics and Machine Learning. Umea University, Sweden, 2021
Journal Articles
- 2023
- [j2]David Andersson, Rickard Sjögren, Brandon Corbett:
Numerical simulation of the general rate model of chromatography using orthogonal collocation. Comput. Chem. Eng. 170: 108068 (2023) - 2019
- [j1]Daniel Svensson, Rickard Sjögren, David Sundell, Andreas Sjödin, Johan Trygg:
doepipeline: a systematic approach to optimizing multi-level and multi-step data processing workflows. BMC Bioinform. 20(1): 498:1-498:13 (2019)
Conference and Workshop Papers
- 2022
- [c5]Nabeel Khalid, Mohammadmahdi Koochali, Vikas Rajashekar, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed:
DeepMuCS: A Framework for Co-culture Microscopic Image Analysis: From Generation to Segmentation. BHI 2022: 1-4 - [c4]Nabeel Khalid, Fabian Schmeisser, Mohammadmahdi Koochali, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed:
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation. MIUA 2022: 139-153 - 2021
- [c3]Nabeel Khalid, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed:
DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images. BHI 2021: 1-4 - [c2]Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Christoph Zehe, Olivier Cloarec, Rickard Sjögren, Johan Trygg, Andreas Dengel, Sheraz Ahmed:
L2S-MirLoc: A Lightweight Two Stage MiRNA Sub-Cellular Localization Prediction Framework. IJCNN 2021: 1-8 - [c1]Nabeel Khalid, Mohsin Munir, Christoffer Edlund, Timothy R. Jackson, Johan Trygg, Rickard Sjögren, Andreas Dengel, Sheraz Ahmed:
DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images. IJCNN 2021: 1-8
Informal and Other Publications
- 2021
- [i1]Rickard Sjögren, Johan Trygg:
Out-of-Distribution Example Detection in Deep Neural Networks using Distance to Modelled Embedding. CoRR abs/2108.10673 (2021)
Coauthor Index
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