What Is Included in Software Architecture? A Case Study in Three Software Organizations. - Kari Smolander; Kimmo Hoikka; Jari Isokallio; Mika Kataiokko; Teemu Mäkelä (ECBS, 2002)

A tool for evaluating social media enhanced learning environments. - Kirsi Silius; Anne-Maritta Tervakari; Olli Pirttila; Jukka Paukkeri; Teemu Mäkelä (EDUCON, 2014)

Integrating nTMS Data into a Radiology Picture Archiving System. - Teemu Mäkelä; Anne-Mari Vitikainen; Aki Laakso; Jyrki P. Mäkelä (J. Digit. Imaging, 2015)

An Automatic Image Processing Workflow for Daily Magnetic Resonance Imaging Quality Assurance. - Juha I. Peltonen; Teemu Mäkelä; Alexey Sofiev; Eero Salli (J. Digit. Imaging, 2017)

Enhancing the Readership of Teacher Students With Digital Book Subscription Services. - Juli-Anna Aerila; Johanna Lähteelä; Teemu Mäkelä; Merja Kauppinen (Int. J. Digit. Lit. Digit. Competence, 2020)

Influence of deep learning reconstruction on task-based model observer performance in CT: an anthropomorphic head phantom study. - Irene Hernández-Girón; Touko Kaasalainen; Teemu Mäkelä; Juha I. Peltonen; Mika Kortesniemi (Image Perception, Observer Performance, and Technology Assessment, 2022)

Marker-controlled watershed with deep edge emphasis and optimized H-minima transform for automatic segmentation of densely cultivated 3D cell nuclei. - Tuomas Kaseva; Bahareh Omidali; Eero Hippeläinen; Teemu Mäkelä; Ulla Wilppu; Alexey Sofiev; Arto Merivaara; Marjo Yliperttula; Sauli Savolainen; Eero Salli (BMC Bioinform., 2022)

Automatic CT Angiography Lesion Segmentation Compared to CT Perfusion in Ischemic Stroke Detection: a Feasibility Study. - Teemu Mäkelä; Olli Öman; Lasse Hokkinen; Ulla Wilppu; Eero Salli; Sauli Savolainen; Marko Kangasniemi (J. Digit. Imaging, 2022)

Detecting Distal Radius Fractures Using a Segmentation-Based Deep Learning Model. - Tuikku Anttila; Teemu V. Karjalainen; Teemu Mäkelä; Eero M. Waris; Nina C. Lindfors; Miika Leminen; Jorma O. Ryhänen (J. Digit. Imaging, 2023)