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ORCIDJyrki Lötjönen
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2010 – 2019
- 2019
[j17]Adil Umer
, Jussi Mattila, Hilkka Liedes, Juha Koikkalainen, Jyrki Lötjönen, Ari Katila, Janek Frantzen, Virginia F. J. Newcombe, Olli Tenovuo, David K. Menon, Mark J. van Gils:
A Decision Support System for Diagnostics and Treatment Planning in Traumatic Brain Injury. IEEE J. Biomed. Health Informatics 23(3): 1261-1268 (2019)- 2016
- [c36]Christian Ledig, Sebastian Kaltwang, Antti Tolonen, Juha Koikkalainen, Philip Scheltens, Frederik Barkhof, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Jyrki Lötjönen, Daniel Rueckert:
Differential Dementia Diagnosis on Incomplete Data with Latent Trees. MICCAI (2) 2016: 44-52 - [c35]Hilkka Liedes, Jussi Mattila, Hester F. Lingsma, Jyrki Lötjönen, David K. Menon, Olli Tenovuo, Mark J. van Gils:
Prediction of Outcome after Traumatic Brain Injury: Comparison of Disease State Index and IMPACT Calculator. pHealth 2016: 175-180 - 2015
- [j16]Christian Ledig, Rolf A. Heckemann, Alexander Hammers, Juan Carlos López, Virginia F. J. Newcombe, Antonios Makropoulos, Jyrki Lötjönen, David K. Menon, Daniel Rueckert:
Robust whole-brain segmentation: Application to traumatic brain injury. Medical Image Anal. 21(1): 40-58 (2015) - 2014
- [c34]Juha Koikkalainen, Jyrki Lötjönen, Christian Ledig, Daniel Rueckert, Olli Tenovuo, David K. Menon:
Automatic quantification of CT images for traumatic brain injury. ISBI 2014: 125-128 - [c33]Christian Ledig, Wenzhe Shi, Antonios Makropoulos, Juha Koikkalainen, Rolf A. Heckemann, Alexander Hammers, Jyrki Lötjönen, Olli Tenovuo, Daniel Rueckert:
Consistent and robust 4D whole-brain segmentation: Application to traumatic brain injury. ISBI 2014: 673-676 - [c32]Jyrki Lötjönen, Christian Ledig, Juha Koikkalainen, Robin Wolz, Lennart Thurfjell, Hilkka Soininen, Sébastien Ourselin, Daniel Rueckert:
Extended boundary shift integral. ISBI 2014: 854-857 - 2012
- [j15]Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Jyrki Lötjönen, Daniel Rueckert:
Nonlinear dimensionality reduction combining MR imaging with non-imaging information. Medical Image Anal. 16(4): 819-830 (2012) - [j14]Juha Koikkalainen, Arho Virkki, Mark J. van Gils, Jyrki Lötjönen, Jussi Mattila:
Design and Application of a Generic Clinical Decision Support System for Multiscale Data. IEEE Trans. Biomed. Eng. 59(1): 234-240 (2012) - [c31]Christian Ledig, Robin Wolz, Paul Aljabar, Jyrki Lötjönen, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert:
Multi-class brain segmentation using atlas propagation and EM-based refinement. ISBI 2012: 896-899 - [c30]Jyrki Lötjönen, Robin Wolz, Juha Koikkalainen, Valeria Manna, Christian Ledig, Lennart Thurfjell, Roger Lundqvist, Gunhild Waldemar, Hilkka Soininen, Daniel Rueckert:
Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior. ISBI 2012: 1164-1167 - 2011
- [j13]Jyrki Lötjönen, Robin Wolz, Juha Koikkalainen, Valtteri Julkunen, Lennart Thurfjell, Roger Lundqvist, Gunhild Waldemar, Hilkka Soininen, Daniel Rueckert:
Fast and robust extraction of hippocampus from MR images for diagnostics of Alzheimer's disease. NeuroImage 56(1): 185-196 (2011) - [j12]Juha Koikkalainen, Jyrki Lötjönen, Lennart Thurfjell, Daniel Rueckert, Gunhild Waldemar, Hilkka Soininen:
Multi-template tensor-based morphometry: Application to analysis of Alzheimer's disease. NeuroImage 56(3): 1134-1144 (2011) - [c29]Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Jyrki Lötjönen, Daniel Rueckert:
Manifold learning combining imaging with non-imaging information. ISBI 2011: 1637-1640 - [c28]Jyrki Lötjönen, Robin Wolz, Juha Koikkalainen, Lennart Thurfjell, Roger Lundqvist, Gunhild Waldemar, Hilkka Soininen, Daniel Rueckert:
Improved generation of probabilistic atlases for the expectation maximization classification. ISBI 2011: 1839-1842 - [c27]Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Jyrki Lötjönen, Daniel Rueckert:
Manifold-based classification incorporating subject metadata. MIUA 2011: 357-362 - 2010
- [j11]Jyrki Lötjönen, Robin Wolz, Juha Koikkalainen, Lennart Thurfjell, Gunhild Waldemar, Hilkka Soininen, Daniel Rueckert:
Fast and robust multi-atlas segmentation of brain magnetic resonance images. NeuroImage 49(3): 2352-2365 (2010) - [j10]Robin Wolz, Rolf A. Heckemann, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers, Jyrki Lötjönen, Daniel Rueckert:
Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI. NeuroImage 52(1): 109-118 (2010) - [c26]Marko Sysi-Aho, Juha Koikkalainen, Jyrki Lötjönen, Tuulikki Seppänen-Laakso, Hans Söderlund, Tiina Heliö, Matej Oresic:
Searching for Linear Dependencies between Heart Magnetic Resonance Images and Lipid Profiles. Algorithms and Applications 2010: 232-243 - [c25]Dimitrios Ververidis, Mark J. van Gils, Juha Koikkalainen, Jyrki Lötjönen:
Feature selection and time regression software: Application on predicting Alzheimer's disease progress. EUSIPCO 2010: 1179-1183 - [c24]Robin Wolz, Rolf A. Heckemann, Paul Aljabar, Joseph V. Hajnal, Alexander Hammers, Jyrki Lötjönen, Daniel Rueckert:
Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts. ISBI 2010: 960-963
2000 – 2009
- 2009
- [c23]Jyrki Lötjönen, Juha Koikkalainen, Daniel Rueckert:
Atlas-Based Registration Parameters in Segmenting Sub-Cortical Regions from Brain MRI-Images. ISBI 2009: 21-24 - 2008
- [j9]Juha Koikkalainen, Tuomas Tölli, Kirsi Lauerma, Kari Antila, Elina M. Mattila, Mikko Lilja, Jyrki Lötjönen:
Methods of Artificial Enlargement of the Training Set for Statistical Shape Models. IEEE Trans. Medical Imaging 27(11): 1643-1654 (2008) - [c22]Juha Koikkalainen, Mervi Könönen, Jari Karhu, Jarmo Ruohonen, Eini Niskanen, Jyrki Lötjönen:
Dynamic Probabilistic Atlas of Functional Brain Regions for Transcranial Magnetic Stimulation. MICCAI (1) 2008: 543-550 - 2007
- [j8]Juha Koikkalainen, Jussi Hirvonen, Mikko Nyman, Jyrki Lötjönen, Jarmo Hietala, Ulla Ruotsalainen:
Shape variability of the human striatum - Effects of age and gender. NeuroImage 34(1): 85-93 (2007) - [c21]Mika Pollari, Tuomas Neuvonen, Mikko Lilja, Jyrki Lötjönen:
Comparative Evaluation of Voxel Similarity Measures for Affine Registration of Diffusion Tensor Mr Images. ISBI 2007: 768-771 - [i1]Matej Oresic, Jyrki Lötjönen, Catherine Bounsaythip:
megNet®: Visualization and Modelling Environment for Translational Medicine. ERCIM News 2007(69) (2007) - 2006
- [c20]Kari Antila, Mikko Lilja, Martti Kalke, Jyrki Lötjönen:
Model-Based Segmentation of Reconstructed Dental X-Ray Volumes. ICIP 2006: 1933-1936 - [c19]Tuomas Tölli, Juha Koikkalainen, Kirsi Lauerma, Jyrki Lötjönen:
Artificially Enlarged Training Set in Image Segmentation. MICCAI (1) 2006: 75-82 - [c18]Mika Pollari, Tuomas Neuvonen, Jyrki Lötjönen:
Affine Registration of Diffusion Tensor MR Images. MICCAI (2) 2006: 629-636 - 2005
- [c17]Jyrki Lötjönen, Kari Antila, E. Lamminmäki, Juha Koikkalainen, Mikko Lilja, Timothy F. Cootes:
Artificial Enlargement of a Training Set for Statistical Shape Models: Application to Cardiac Images. FIMH 2005: 92-101 - [c16]Bertrand Delhay, Patrick Clarysse, Jyrki Lötjönen, Toivo Katila, Isabelle E. Magnin:
Evaluation of Two Free Form Deformation Based Motion Estimators in Cardiac and Chest Imaging. FIMH 2005: 467-476 - 2004
- [j7]Jyrki Lötjönen, Sari Kivistö, Juha Koikkalainen, Daniel Smutek, Kirsi Lauerma:
Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images. Medical Image Anal. 8(3): 371-386 (2004) - [j6]Juha Koikkalainen, Jyrki Lötjönen:
Reconstruction of 3-D head geometry from digitized point sets: an evaluation study. IEEE Trans. Inf. Technol. Biomed. 8(3): 377-386 (2004) - [c15]Juha Koikkalainen, Jyrki Lötjönen:
Image Segmentation with the Combination of the PCA- and ICA-Based Modes of Shape Variation. ISBI 2004: 149-152 - [c14]Mika Pollari, Timo Mäkelä, Jyrki Lötjönen, Nicoleta Pauna, Patrick Clarysse, Anthonin Reilhac:
Evaluation of Cardiac PET-MRI Registration Methods Using a Numerical Breathing Phantom. ISBI 2004: 1447-1450 - [c13]Jyrki Lötjönen, Mika Pollari, Sari Kivistö, Kirsi Lauerma:
Correction of Movement Artifacts from 4-D Cardiac Short and Long-Axis MR Data. MICCAI (2) 2004: 405-412 - [c12]Juha Koikkalainen, Mika Pollari, Jyrki Lötjönen, Sari Kivistö, Kirsi Lauerma:
Segmentation of Cardiac Structures Simultaneously from Short- and Long-Axis MR Images. MICCAI (1) 2004: 427-434 - 2003
- [j5]Jyrki Lötjönen:
Construction of patient-specific surface models from MR images: application to bioelectromagnetism. Comput. Methods Programs Biomed. 72(2): 167-178 (2003) - [j4]Timo Mäkelä, Quoc Cuong Pham, Patrick Clarysse, Jukka Nenonen, Jyrki Lötjönen, Outi Sipilä, Helena Hänninen, Kirsi Lauerma, Juhani Knuuti, Toivo Katila, Isabelle E. Magnin:
A 3-D model-based registration approach for the PET, MR and MCG cardiac data fusion. Medical Image Anal. 7(3): 377-389 (2003) - [c11]Timo Mäkelä, Mika Pollari, Jyrki Lötjönen, Nicoleta Pauna, Anthonin Reilhac, Patrick Clarysse, Isabelle E. Magnin, Toivo Katila:
Evaluation and Comparison of Surface and Intensity Based Rigid Registration Methods for Thorax and Cardiac MR and PET Images. FIMH 2003: 224-233 - [c10]Juha Koikkalainen, Jyrki Lötjönen:
Individualized Geometric Model from Unorganized 3-D Points: An Application to Thorax Modeling. MICCAI (1) 2003: 91-98 - [c9]Jyrki Lötjönen, Juha Koikkalainen, Daniel Smutek, Sari Kivistö, Kirsi Lauerma:
Four-Chamber 3-D Statistical Shape Model from Cardiac Short-Axis and Long-Axis MR Images. MICCAI (1) 2003: 459-466 - [c8]Jyrki Lötjönen, Daniel Smutek, Sari Kivistö, Kirsi Lauerma:
Tracking Atria and Ventricles Simultaneously from Cardiac Short- and Long-Axis MR Images. MICCAI (1) 2003: 467-474 - 2002
- [c7]Juha Koikkalainen, Jyrki Lötjönen:
Model Library for Deformable Model-Based Segmentation of 3-D Brain MR-Images. MICCAI (1) 2002: 540-547 - 2001
- [c6]Henri Veisterä, Jyrki Lötjönen:
Reconstructing 3D Boundary Element Heart Models from 2D Biplane Fluoroscopy. FIMH 2001: 17-23 - [c5]Timo Mäkelä, Quoc Cuong Pham, Patrick Clarysse, Jyrki Lötjönen, Kirsi Lauerma, Helena Hänninen, Juhani Knuuti, Toivo Katila, Isabelle E. Magnin:
A 3-D Model-Based Approach for the PET-Functional and MR-Anatomical Cardiac Imaging Data Fusion. FIMH 2001: 83-90 - [c4]Jyrki Lötjönen, Timo Mäkelä:
Elastic Matching Using a Deformation Sphere. MICCAI 2001: 541-548 - [c3]Timo Mäkelä, Patrick Clarysse, Jyrki Lötjönen, Outi Sipilä, Kirsi Lauerma, Helena Hänninen, Esa-Pekka Pyökkimies, Jukka Nenonen, Juhani Knuuti, Toivo Katila, Isabelle E. Magnin:
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 - 2000
- [b1]Jyrki Lötjönen:
Construction of boundary element models in bioelectromagnetism. Aalto University, Espoo, Helsinki, Finland, 2000 - [j3]Katja Pesola, Jyrki Lötjönen, Jukka Nenonen, Isabelle E. Magnin, Kirsi Lauerma, Riccardo Fenici, Toivo Katila:
The effect of geometric and topologic differences in boundary element models on magnetocardiographic localization accuracy. IEEE Trans. Biomed. Eng. 47(9): 1237-1247 (2000)
1990 – 1999
- 1999
- [j2]Jyrki Lötjönen, Pierre-Jean Reissman, Isabelle E. Magnin, Toivo Katila:
Model extraction from magnetic resonance volume data using the deformable pyramid. Medical Image Anal. 3(4): 387-406 (1999) - [j1]Jyrki Lötjönen, Isabelle E. Magnin, Jukka Nenonen, Toivo Katila:
Reconstruction of 3D Geometry Using 2D Profiles and a Geometric Prior Model. IEEE Trans. Medical Imaging 18(10): 992-1002 (1999) - [c2]Jyrki Lötjönen, Isabelle E. Magnin, Lutz Reinhardt, Jukka Nenonen, Toivo Katila:
Automatic Reconstruction of 3D Geometry Using Projections and a Geometric Prior Model. MICCAI 1999: 192-201 - 1998
- [c1]Jyrki Lötjönen, Isabelle E. Magnin, Pierre-Jean Reissman, Jukka Nenonen, Toivo Katila:
Segmentation of Magnetic Resonance Images Using 3D Deformable Models. MICCAI 1998: 1213-1221
Coauthor Index
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