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1. Full Text BEaST: Brain extraction based on nonlocal segmentation technique
by Eskildsen, Simon F and Coupé, Pierrick and Fonov, Vladimir and Manjón, José V and Leung, Kelvin K and Guizard, Nicolas and Wassef, Shafik N and Østergaard, Lasse Riis and Collins, D. Louis and Alzheimer's Dis Neuroimaging and Alzheimer's Disease Neuroimaging Initiative
NeuroImage, ISSN 1053-8119, 02/2012, Volume 59, Issue 3, pp. 2362 - 2373
Brain extraction is an important step in the analysis of brain images. The variability in brain morphology and the difference in intensity characteristics due... 
BET | Patch-based segmentation | Multi-resolution | Skull stripping | MRI | Brain extraction | ALGORITHM | VOLUME | VALIDATION | NEUROSCIENCES | NEUROIMAGING | IMAGE SEGMENTATION | ATLAS | HIPPOCAMPUS | AUTOMATIC SEGMENTATION | MORPHOMETRY | MR-IMAGES | REGISTRATION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Computers | Image Processing, Computer-Assisted - statistics & numerical data | Reproducibility of Results | Brain - anatomy & histology | Humans | False Negative Reactions | Magnetic Resonance Imaging - methods | Male | Brain Mapping - methods | Image Processing, Computer-Assisted - methods | False Positive Reactions | Young Adult | Reference Standards | Algorithms | Magnetic Resonance Imaging - statistics & numerical data | Adolescent | Adult | Female | Software | Databases, Factual | Quality Control | Methods | Studies | Medical research | Medical imaging | Registration | Pharmaceutical industry | Alzheimers disease | Academic libraries | Index Medicus | Bioengineering | Brain | Neurons and Cognition | Medical Imaging | Machine Learning | Life Sciences | Computer Science | Applications | Statistics | Magnetic Resonance Imaging | Signal and Image Processing | Image Processing, Computer-Assisted | Brain Mapping | Engineering Sciences
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2. Full Text Size of the ovulatory follicle dictates spatial differences in the oviductal transcriptome in cattle
by Gonella-Diaza, Angela María and Da Silva Andrade, Sónia Cristina and Sponchiado, Mariana and Pugliesi, Guilherme and Mesquita, Fernando Silveira and Van Hoeck, Veerle and De Francisco Strefezzi, Ricardo and Gasparin, Gustavo R and Coutinho, Luiz L and Binelli, Mario
PLoS ONE, ISSN 1932-6203, 12/2015, Volume 10, Issue 12, pp. e0145321 - e0145321
In cattle, molecular control of oviduct receptivity to the embryo is poorly understood. Here, we used a bovine model for receptivity based on size of the... 
BOVINE OVIDUCT | EARLY DIESTRUS | EMBRYO DEVELOPMENT | EXPRESSION ANALYSIS | MULTIDISCIPLINARY SCIENCES | GENE-EXPRESSION | EXTRACELLULAR-MATRIX COMPONENTS | RETINOL-BINDING-PROTEIN | PROGESTERONE-RECEPTOR | ESTROUS-CYCLE | MORPHOLOGICAL-CHANGES | Biomarkers - metabolism | Estrous Cycle - physiology | Oviducts - metabolism | RNA, Messenger - genetics | Transcriptome | Oviducts - cytology | Reverse Transcriptase Polymerase Chain Reaction | Immunoenzyme Techniques | Animals | Cattle | Female | High-Throughput Nucleotide Sequencing - methods | Ovarian Follicle - cytology | Ovarian Follicle - metabolism | Real-Time Polymerase Chain Reaction | Physiological aspects | Genetic aspects | Ovaries | Immunohistochemistry | Oxidative stress | Transcription | Sperm | Genes | Zoology | Sex | Spatial discrimination | Insulin-like growth factors | Estrus cycle | Animal lactation | Proteins | Receptors | Cell growth | Rodents | Era protein | Extracellular matrix | Oviduct | Growth factors | Estrus | Secretion | Regional analysis | Animal sciences | Abundance | Gene expression | Ribonucleic acid--RNA | Ovulation | Insulin | Embryos | Pregnancy | Signaling | Corpus luteum | Gonadotropin-releasing hormone | Steroid hormones | Steroids | Apoptosis | Index Medicus | RNA | Ribonucleic acid
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3. Full Text Novel loci for adiponectin levels and their influence on type 2 diabetes and metabolic traits: a multi-ethnic meta-analysis of 45,891 individuals
by Dastani, Zari and Hivert, Marie-France and Timpson, Nicholas and Perry, John R. B and Yuan, Xin and Scott, Robert A and Henneman, Peter and Heid, Iris M and Kizer, Jorge R and Lyytikäinen, Leo-Pekka and Fuchsberger, Christian and Tanaka, Toshiko and Morris, Anew P and Small, Kerrin and Isaacs, Aaron and Beekman, Marian and Coassin, Stefan and Lohman, Kurt and Qi, Lu and Kanoni, Stavroula and Pankow, James S and Uh, Hae-Won and Wu, Ying and Bidulescu, Aurelian and Rasmussen-Torvik, Laura J and Greenwood, Celia M. T and Ladouceur, Martin and Grimsby, Jonna and Manning, Alisa K and Liu, Ching-Ti and Kooner, Jaspal and Mooser, Vincent E and Vollenweider, Peter and Kapur, Karen A and Chambers, John and Wareham, Nicholas J and Langenberg, Claudia and Frants, Rune and Willems-Vandijk, Ko and Oostra, Ben A and Willems, Sara M and Lamina, Claudia and Winkler, Thomas W and Psaty, Bruce M and Tracy, Russell P and Brody, Jennifer and Chen, Ida and Viikari, Jorma and Kähönen, Mika and Pramstaller, Peter P and Evans, David M and St Pourcain, Beate and Sattar, Naveed and Wood, Anew R and Bandinelli, Stefania and Carlson, Olga D and Egan, Josephine M and Böhringer, Stefan and van Heemst, Diana and Kedenko, Lyudmyla and Kristiansson, Kati and Nuotio, Marja-Liisa and Loo, Britt-Marie and Harris, Tamara and Garcia, Melissa and Kanaya, Alka and Haun, Margot and Klopp, Norman and Wichmann, H.-Erich and Deloukas, Panos and Katsareli, Efi and Couper, David J and Duncan, Bruce B and Kloppenburg, Margreet and Adair, Linda S and Borja, Judith B and Wilson, James G and Musani, Solomon and Guo, Xiuqing and Johnson, Toby and Semple, Robert and Teslovich, Tanya M and Allison, Matthew A and Redline, Susan and Buxbaum, Sarah G and Mohlke, Karen L and Meulenbelt, Ingrid and Ballantyne, Christie M and Dedoussis, George V and Hu, Frank B and Liu, Yongmei and Paulweber, Bernhard and Spector, Timothy D and Slagboom, P. Eline and Ferrucci, Luigi and Jula, Antti and Perola, Markus and Raitakari, Olli and Florez, Jose C and Salomaa, Veikko and ... and GLGC Investigators and DIAGRAM Consortium and MAGIC Consortium and MuTHER Consortium and Global B Pgen Consortium and MAGIC investigators and Procardis Consortium and DIAGRAM+ Consortium and GLGC Consortium and GIANT Consortium
PLoS genetics, ISSN 1553-7390, 2012, Volume 8, Issue 3, pp. e1002607 - e1002607
Circulating levels of adiponectin, a hormone produced predominantly by adipocytes, are highly heritable and are inversely associated with type 2 diabetes... 
POPULATION | GENETIC-BASIS | VARIANTS | INSULIN-RESISTANCE | LIPID CONCENTRATIONS | GENETICS & HEREDITY | RISK | RECEPTOR | CORONARY-ARTERY-DISEASE | GENOME-WIDE ASSOCIATION | ADIPOSE-TISSUE | Gene Expression | Genetic Predisposition to Disease | Genome-Wide Association Study | Glucose Tolerance Test | Diabetes Mellitus, Type 2 - genetics | Humans | African Americans | European Continental Ancestry Group | Male | Cholesterol, HDL - genetics | Adiponectin - blood | Asian Continental Ancestry Group | Metabolic Networks and Pathways | Adiponectin - genetics | Insulin Resistance - genetics | Female | Polymorphism, Single Nucleotide | Waist-Hip Ratio | Type 2 diabetes | Physiological aspects | Development and progression | Genetic aspects | Research | Metabolism | Health aspects | Blood proteins | Meta-analysis | Medical research | Cardiovascular disease | Drug therapy | Insulin | Metabolic disorders | Index Medicus | Medical and Health Sciences | Medicin och hälsovetenskap
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4. Full Text Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility
by Wessel, Jennifer and Chu, Auey Y and Willems, Sara and Wang, Shuai and Yaghootkar, Hanieh and Brody, Jennifer and Dauriz, Marco and Hivert, Marie-France and Raghavan, Sridharan and Lipovich, Leonard and Hidalgo, Bertha and Fox, Keolu and Huffman, Jennifer and An, Ping and Lu, Yingchang and Rasmussen-Torvik, Laura and Grarup, Niels and Ehm, Margaret G and Li, Li and Balidge, Abigail S and Stancáková, Alena and Abrol, Ravinder and Besse, Céline and Boland, Anne and Bork-Jensen, Jette and Fornage, Myriam and Freitag, Christine and Garcia, Melissa and Guo, Xiuqing and Hara, Kazuo and Isaacs, Aaron and Jakobsdottir, Margret and Lange, Leslie and Layton, Jill C and Li, Man and Zhao, Jing Hua and Meidtner, Karina and Morrison, Alanna and Nalls, Michael and Peters, Marjolein and Sabater-Lleal, Maria and Schurmann, Claudia and Silveira, Angela and Smith, G.D and Southam, Lorraine and Stoiber, Marcus H and Strawbridge, Rona and Taylor, Kent and Varga, Tibor V and Allin, Kristine H and Amin, Najaf and Aponte, Jennifer L and Aung, Tin and Barbieri, Caterina and Bihlmeyer, Nathan A and Boehnke, Michael and Bombieri, Cristina and Bowden, Donald and Burns, Sean M and Chen, Yuning and Chen, Yii-Deri and Cheng, Ching-Yu and Correa, D.D and Czajkowski, Jacek and Dehghan, Abbas and Ehret, Georg and Eiriksdottir, Gudny and Escher, Stefan A and Farmaki, Aliki-Eleni and Frånberg, Mattias and Gambaro, Giovanni and Giulianini, Franco and Goddard, William A and Goel, Anuj and Gottesman, Rebecca and Grove, Megan and Gustafsson, Stefan and Hai, Yang and Hallmans, Göran and Heo, Jiyoung and Hoffmann, Per and Ikram, Kamran and Jensen, Richard and Jørgensen, Marit and Jorgensen, Torben and Karaleftheri, Maria and Khor, C.C and Kirkpatrick, Anea and Kraja, Aldi and Kuusisto, Johanna and Lange, Ethan and Lee, I.T and Lee, Wen-Jane and Leong, Aaron and Liao, Jie and Liu, Chunyu and Liu, Yongmei and Lindgren, Cecilia and Linneberg, Allan and Malerba, Giovanni and ... and The EPIC-InterAct Consortium and EPIC-InterAct Consortium and Numerisk analys och datalogi (NADA) and Naturvetenskapliga fakulteten and Stockholms universitet and Science for Life Laboratory (SciLifeLab)
Nature Communications, ISSN 2041-1723, 01/2015, Volume 6, Issue 1, pp. 5897 - 5897
Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants... 
TRIGLYCERIDE LEVELS | GLUCAGON-LIKE PEPTIDE-1 | INSULIN-RESISTANCE | CODING VARIATION | MULTIDISCIPLINARY SCIENCES | GERMLINE MUTATIONS | GLYCEMIC TRAITS | PLASMA-GLUCOSE | RECEPTOR GENE | SEQUENCING DATA | GENOME-WIDE ASSOCIATION | Glucose-6-Phosphatase - genetics | European Continental Ancestry Group - genetics | Genetic Predisposition to Disease | Genetic Association Studies | Oligonucleotide Array Sequence Analysis | Diabetes Mellitus, Type 2 - genetics | Humans | Mutation Rate | Genetic Loci | Insulin - blood | Genetic Variation | Glucagon-Like Peptide-1 Receptor - genetics | Diabetes Mellitus, Type 2 - blood | Exome - genetics | Fasting - blood | Polymorphism, Single Nucleotide - genetics | African Continental Ancestry Group - genetics | Blood Glucose - metabolism | Index Medicus | Biological Sciences | Medical Biotechnology | Naturvetenskap | Medical and Health Sciences | Medicin och hälsovetenskap | Biologiska vetenskaper | Medicinsk bioteknologi | Natural Sciences
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5. Full Text Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data
by Cho, Youngsang and Seong, Joon-Kyung and Jeong, Yong and Shin, Sung Yong and Alzheimers Dis Neuroimaging and Alzheimer's Disease Neuroimaging Initiative
NeuroImage, ISSN 1053-8119, 02/2012, Volume 59, Issue 3, pp. 2217 - 2230
Patterns of brain atrophy measured by magnetic resonance structural imaging have been utilized as significant biomarkers for diagnosis of Alzheimer's disease... 
Frequency representation | Individual subject classification | Incremental learning | Cortical thickness | Alzheimer's disease | AUTOMATED SEGMENTATION | DEMENTIA | GRAY-MATTER LOSS | MRI | FACE RECOGNITION | MILD COGNITIVE IMPAIRMENT | DEFORMATION | NEUROSCIENCES | NEUROIMAGING | VOXEL-BASED MORPHOMETRY | DISCRIMINANT-ANALYSIS | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | BRAIN | Humans | Middle Aged | Cerebral Cortex - pathology | Male | Positron-Emission Tomography | False Positive Reactions | Alzheimer Disease - pathology | Atrophy | Aged, 80 and over | Female | Databases, Factual | Reproducibility of Results | Alzheimer Disease - classification | Artificial Intelligence | False Negative Reactions | Cognitive Dysfunction - pathology | Image Processing, Computer-Assisted - methods | Disease Progression | Neuropsychological Tests | Magnetic Resonance Imaging | Algorithms | Brain - pathology | Aged | Entorhinal Cortex - pathology | Longitudinal Studies | Memory - physiology | Diagnostic imaging | Amyloid beta-protein | Brain research | Noise | Data compression | Colleges & universities | Classification | Principal components analysis | Alzheimers disease | Pharmaceutical industry | Methods | Index Medicus
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