doepipeline: a systematic approach to optimizing multi-level and multi-step data processing workflows. - Daniel Svensson; Rickard Sjögren; David Sundell; Andreas Sjödin; Johan Trygg (BMC Bioinform., 2019)

DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images. - Nabeel Khalid; Mohsin Munir; Christoffer Edlund; Timothy R. Jackson; Johan Trygg; Rickard Sjögren; Andreas Dengel 001; Sheraz Ahmed (BHI, 2021)

L2S-MirLoc: A Lightweight Two Stage MiRNA Sub-Cellular Localization Prediction Framework. - Muhammad Nabeel Asim; Muhammad Ali Ibrahim; Christoph Zehe; Olivier Cloarec; Rickard Sjögren; Johan Trygg; Andreas Dengel 001; Sheraz Ahmed (IJCNN, 2021)

DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images. - Nabeel Khalid; Mohsin Munir; Christoffer Edlund; Timothy R. Jackson; Johan Trygg; Rickard Sjögren; Andreas Dengel 001; Sheraz Ahmed (IJCNN, 2021)

Out-of-Distribution Example Detection in Deep Neural Networks using Distance to Modelled Embedding. - Rickard Sjögren; Johan Trygg (CoRR, 2021)

Synergies between Chemometrics and Machine Learning. - Rickard Sjögren (2021)

DeepMuCS: A Framework for Co-culture Microscopic Image Analysis: From Generation to Segmentation. - Nabeel Khalid; Mohammadmahdi Koochali; Vikas Rajashekar; Mohsin Munir; Christoffer Edlund; Timothy R. Jackson; Johan Trygg; Rickard Sjögren; Andreas Dengel 001; Sheraz Ahmed (BHI, 2022)

Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation. - Nabeel Khalid; Fabian Schmeisser; Mohammadmahdi Koochali; Mohsin Munir; Christoffer Edlund; Timothy R. Jackson; Johan Trygg; Rickard Sjögren; Andreas Dengel 001; Sheraz Ahmed (MIUA, 2022)

Numerical simulation of the general rate model of chromatography using orthogonal collocation. - David Andersson; Rickard Sjögren; Brandon Corbett (Comput. Chem. Eng., 2023)