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Juhani Knuuti
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2020 – today
- 2023
- [j6]Oona Rainio
, Chunlei Han, Jarmo Teuho
Carimas: An Extensive Medical Imaging Data Processing Tool for Research. J. Digit. Imaging 36(4): 1885-1893 (2023) - 2021
- [j5]Joaquin Rives Gambin
Learning to Denoise Gated Cardiac PET Images Using Convolutional Neural Networks. IEEE Access 9: 145886-145899 (2021)
2010 – 2019
- 2019
- [j4]Minna Husso
Quantification of porcine myocardial perfusion with modified dual bolus MRI - a prospective study with a PET reference. BMC Medical Imaging 19(1): 58:1-58:11 (2019) - 2010
- [j3]Margarita Magadán-Méndez, Anu Juslin
ICA based automatic segmentation of dynamic H215 O cardiac PET images. IEEE Trans. Inf. Technol. Biomed. 14(3): 795-802 (2010)
2000 – 2009
- 2009
- [j2]Matthias Goernig, Jens Haueisen
Comparison of current density viability imaging at rest with FDG-PET in patients after myocardial infarction. Comput. Medical Imaging Graph. 33(1): 1-6 (2009) - 2003
- [j1]Timo Mäkelä, Quoc Cuong Pham, Patrick Clarysse, Jukka Nenonen, Jyrki Lötjönen, Outi Sipilä, Helena Hänninen, Kirsi Lauerma, Juhani Knuuti
A 3-D model-based registration approach for the PET, MR and MCG cardiac data fusion. Medical Image Anal. 7(3): 377-389 (2003) - 2001
- [c2]Timo Mäkelä, Quoc Cuong Pham, Patrick Clarysse, Jyrki Lötjönen, Kirsi Lauerma, Helena Hänninen, Juhani Knuuti
A 3-D Model-Based Approach for the PET-Functional and MR-Anatomical Cardiac Imaging Data Fusion. FIMH 2001: 83-90 - [c1]Timo Mäkelä, Patrick Clarysse, Jyrki Lötjönen, Outi Sipilä, Kirsi Lauerma, Helena Hänninen, Esa-Pekka Pyökkimies, Jukka Nenonen, Juhani Knuuti
A New Method for the Registration of Cardiac PET and MR Images Using Deformable Model Based Segmentation of the Main Thorax Structures. MICCAI 2001: 557-564
Coauthor Index
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