Search Results - "LÖTJÖNEN, J"

Lysophosphatidic acid and sphingosine-1-phosphate promote morphogenesis and block invasion of prostate cancer cells in three-dimensional organotypic models by Härmä, V, Knuuttila, M, Virtanen, J, Mirtti, T, Kohonen, P, Kovanen, P, Happonen, A, Kaewphan, S, Ahonen, I, Kallioniemi, O, Grafström, R, Lötjönen, J, Nees, M

“…Normal prostate and some malignant prostate cancer (PrCa) cell lines undergo acinar differentiation and form spheroids in three-dimensional (3-D) organotypic…”
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Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images by Lötjönen, J., Kivistö, S., Koikkalainen, J., Smutek, D., Lauerma, K.

“…We describe a new 3-D statistical shape model of the heart consisting of atria, ventricles and epicardium. The model was constructed by combining information…”
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Decreased Gray—White Matter Contrast of [11C]-PiB Uptake in Cognitively Unimpaired Subjects with Severe Obstructive Sleep Apnea by Ylä-Herttuala, S., Hakulinen, M., Poutiainen, P., Lötjönen, J., Könönen, M., Gröhn, H., Vanninen, R., Mussalo, H., Laitinen, T., Mervaala, Esa

“…Background Very recently, cognitively normal, middle-aged adults with severe obstructive sleep apnea (OSA) were shown to have regional cortical amyloid-β…”
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EEG spectral entropy, heart rate, photoplethysmography and motor responses to skin incision during sevoflurane anaesthesia by Seitsonen, E. R. J., Korhonen, I. K. J., Van Gils, M. J., Huiku, M., Lötjönen, J. M. P., Korttila, K. T., Yli-Hankala, A. M.

“…Background:  Analgesia is a part of balanced anaesthesia, but direct indicators of nociception do not exist. We examined the relationship between motor…”
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Application of the PredictAD decision support tool to a Danish cohort of patients with Alzheimer's disease and other dementias by Simonsen, A H, Mattila, J, Hejl, A M, Garde, E, van Gils, M, Thomsen, C, Lötjönen, J, Soininen, H, Waldemar, G

“…The diagnosis of Alzheimer's disease (AD) is based on an ever-increasing body of data and knowledge making it a complex task. The PredictAD tool integrates…”
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Follow-up of [11C]PIB uptake and brain volume in patients with Alzheimer disease and controls by SCHEININ, N. M, AALTO, S, RINNE, J. O, KOIKKALAINEN, J, LÖTJÖNEN, J, KARRASCH, M, KEMPPAINEN, N, VIITANEN, M, NAGREN, K, HELIN, S, SCHEININ, M

“…In Alzheimer disease (AD), the accumulation pattern of beta-amyloid over time and its relationship with dementia severity are unclear. We investigated the…”
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75 Predict Alzheimer's disease tools for early diagnosis by Liu, Y, Mattila, J, Paajanen, T, Koikkalainen, J, vanGils, M, Herukka, S.-K, Waldemar, G, Lötjönen, J, Soininen, Hilkka

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Optimising disease state fingerprint for diagnosing frontotemporal lobar degeneration by Ruiz, M.Á. Munoz, Hall, A, Mattila, J, Koikkalainen, J, Herukka, S.-K, Husso, M, Hänninen, T, Vanninen, R, Liu, Y, Hallikainen, M, Lötjönen, J, Soininen, H, Hartikainen, P

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Global Burden of Small Vessel Disease–Related Brain Changes on MRI Predicts Cognitive and Functional Decline by Jokinen, Hanna, Koikkalainen, Juha, Laakso, Hanna M., Melkas, Susanna, Nieminen, Tuomas, Brander, Antti, Korvenoja, Antti, Rueckert, Daniel, Barkhof, Frederik, Scheltens, Philip, Schmidt, Reinhold, Fazekas, Franz, Madureira, Sofia, Verdelho, Ana, Wallin, Anders, Wahlund, Lars-Olof, Waldemar, Gunhild, Chabriat, Hugues, Hennerici, Michael, O’Brien, John, Inzitari, Domenico, Lötjönen, Jyrki, Pantoni, Leonardo, Erkinjuntti, Timo

“…BACKGROUND AND PURPOSE—Cerebral small vessel disease is characterized by a wide range of focal and global brain changes. We used a magnetic resonance imaging…”
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Metabolome in progression to Alzheimer's disease by Orešič, M, Hyötyläinen, T, Herukka, S-K, Sysi-Aho, M, Mattila, I, Seppänan-Laakso, T, Julkunen, V, Gopalacharyulu, P V, Hallikainen, M, Koikkalainen, J, Kivipelto, M, Helisalmi, S, Lötjönen, J, Soininen, H

“…Mild cognitive impairment (MCI) is considered as a transition phase between normal aging and Alzheimer's disease (AD). MCI confers an increased risk of…”
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Multi-class brain segmentation using atlas propagation and EM-based refinement by Ledig, C., Wolz, R., Aljabar, P., Lotjonen, J., Heckemann, R. A., Hammers, A., Rueckert, D.

“…In recent years, multi-atlas segmentation has emerged as one of the most accurate techniques for the segmentation of brain magnetic resonance (MR) images,…”
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Chronic exertional compartment syndrome: MR imaging at 0.1 T compared with tissue pressure measurement by Eskelin, M K, Lötjönen, J M, Mäntysaari, M J

“…To compare low-field-strength magnetic resonance (MR) imaging with intracompartmental tissue pressure measurement for the diagnosis of chronic exertional…”
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Bioelectromagnetic localization of a pacing catheter in the heart by Pesola, K, Nenonen, J, Fenici, R, Lötjönen, J, Mäkijärvi, M, Fenici, P, Korhonen, P, Lauerma, K, Valkonen, M, Toivonen, L, Katila, T

“…The accuracy of localizing source currents within the human heart by non-invasive magneto- and electrocardiographic methods was investigated in 10 patients. A…”
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A triangulation method of an arbitrary point set for biomagnetic problems by Lotjonen, J., Reissman, P.-J., Magnin, I.E., Nenonen, J., Katila, T.

“…A new triangulation method has been developed for extracting isosurface from volume data. The nodes for triangulation can be selected arbitrarily from the…”
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Methods of Artificial Enlargement of the Training Set for Statistical Shape Models by Koikkalainen, J., Tolli, T., Lauerma, K., Antila, K., Mattila, E., Lilja, M., Lotjonen, J.

“…Due to the small size of training sets, statistical shape models often over-constrain the deformation in medical image segmentation. Hence, artificial…”
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Reconstruction of 3-D head geometry from digitized point sets: an evaluation study by Koikkalainen, J., Lotjonen, J.

“…In this paper, we evaluate different methods to estimate patient-specific scalp, skull, and brain surfaces from a set of digitized points from the target's…”
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cCOG: A web‐based cognitive test tool for detecting neurodegenerative disorders by Rhodius‐Meester, Hanneke F.M., Paajanen, Teemu, Koikkalainen, Juha, Mahdiani, Shadi, Bruun, Marie, Baroni, Marta, Lemstra, Afina W., Scheltens, Philip, Herukka, Sanna‐Kaisa, Pikkarainen, Maria, Hall, Anette, Hänninen, Tuomo, Ngandu, Tiia, Kivipelto, Miia, Gils, Mark, Hasselbalch, Steen Gregers, Mecocci, Patrizia, Remes, Anne, Soininen, Hilkka, der Flier, Wiesje M., Lötjönen, Jyrki

“…Introduction Web‐based cognitive tests have potential for standardized screening in neurodegenerative disorders. We examined accuracy and consistency of cCOG,…”
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Reconstruction of 3-D geometry using 2-D profiles and a geometric prior model by Lotjonen, J., Magnin, I.E., Nenonen, J., Katila, T.

“…A method has been developed to reconstruct three-dimensional (3-D) surfaces from two-dimensional (2-D) projection data. It is used to produce individualized…”
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A dynamic 3-D cardiac surface model from MR images by Delhay, B., Lotjonen, J., Clarysse, P., Katila, T., Magnin, I.E.

“…Cardiac 3D+time segmentation and motion estimation are recognized as difficult prerequisite tasks for any quantitative analysis of cardiac images. Some recent…”
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Robust whole-brain segmentation: Application to traumatic brain injury by Ledig, Christian, Heckemann, Rolf A., Hammers, Alexander, Lopez, Juan Carlos, Newcombe, Virginia F.J., Makropoulos, Antonios, Lötjönen, Jyrki, Menon, David K., Rueckert, Daniel

“…[Display omitted] •A robust and fully-automatic segmentation framework for MR brain scans is proposed.•A heterogeneous cohort of 125 scans of patients who had…”
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