Search Results - "Avants, Brian"

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) by Menze, Bjoern H., Jakab, Andras, Bauer, Stefan, Kalpathy-Cramer, Jayashree, Farahani, Keyvan, Kirby, Justin, Burren, Yuliya, Porz, Nicole, Slotboom, Johannes, Wiest, Roland, Lanczi, Levente, Gerstner, Elizabeth, Weber, Marc-Andre, Arbel, Tal, Avants, Brian B., Ayache, Nicholas, Buendia, Patricia, Collins, D. Louis, Cordier, Nicolas, Corso, Jason J., Criminisi, Antonio, Das, Tilak, Delingette, Herve, Demiralp, Cagatay, Durst, Christopher R., Dojat, Michel, Doyle, Senan, Festa, Joana, Forbes, Florence, Geremia, Ezequiel, Glocker, Ben, Golland, Polina, Xiaotao Guo, Hamamci, Andac, Iftekharuddin, Khan M., Jena, Raj, John, Nigel M., Konukoglu, Ender, Lashkari, Danial, Mariz, Jose Antonio, Meier, Raphael, Pereira, Sergio, Precup, Doina, Price, Stephen J., Riklin Raviv, Tammy, Reza, Syed M. S., Ryan, Michael, Sarikaya, Duygu, Schwartz, Lawrence, Hoo-Chang Shin, Shotton, Jamie, Silva, Carlos A., Sousa, Nuno, Subbanna, Nagesh K., Szekely, Gabor, Taylor, Thomas J., Thomas, Owen M., Tustison, Nicholas J., Unal, Gozde, Vasseur, Flor, Wintermark, Max, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Zikic, Darko, Prastawa, Marcel, Reyes, Mauricio, Van Leemput, Koen

“…In this paper we report the set-up and results of the Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012…”
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Age-Related Effects and Sex Differences in Gray Matter Density, Volume, Mass, and Cortical Thickness from Childhood to Young Adulthood by Gennatas, Efstathios D, Avants, Brian B, Wolf, Daniel H, Satterthwaite, Theodore D, Ruparel, Kosha, Ciric, Rastko, Hakonarson, Hakon, Gur, Raquel E, Gur, Ruben C

“…Developmental structural neuroimaging studies in humans have long described decreases in gray matter volume (GMV) and cortical thickness (CT) during…”
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Explicit B-spline regularization in diffeomorphic image registration by Tustison, Nicholas J, Avants, Brian B

“…Diffeomorphic mappings are central to image registration due largely to their topological properties and success in providing biologically plausible solutions…”
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A reproducible evaluation of ANTs similarity metric performance in brain image registration by Avants, Brian B., Tustison, Nicholas J., Song, Gang, Cook, Philip A., Klein, Arno, Gee, James C.

“…The United States National Institutes of Health (NIH) commit significant support to open-source data and software resources in order to foment reproducibility…”
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Histology-derived volumetric annotation of the human hippocampal subfields in postmortem MRI by Adler, Daniel H., Pluta, John, Kadivar, Salmon, Craige, Caryne, Gee, James C., Avants, Brian B., Yushkevich, Paul A.

“…Recently, there has been a growing effort to analyze the morphometry of hippocampal subfields using both in vivo and postmortem magnetic resonance imaging…”
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Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements by Tustison, Nicholas J., Cook, Philip A., Klein, Arno, Song, Gang, Das, Sandhitsu R., Duda, Jeffrey T., Kandel, Benjamin M., van Strien, Niels, Stone, James R., Gee, James C., Avants, Brian B.

“…Many studies of the human brain have explored the relationship between cortical thickness and cognition, phenotype, or disease. Due to the subjectivity and…”
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High-density three-dimensional localization microscopy across large volumes by Legant, Wesley R, Shao, Lin, Grimm, Jonathan B, Brown, Timothy A, Milkie, Daniel E, Avants, Brian B, Lavis, Luke D, Betzig, Eric

“…Lattice light-sheet and PAINT microscopy are combined to achieve low-background detection of dense molecular labels, yielding super-resolution localization…”
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N4ITK: Improved N3 Bias Correction by Tustison, Nicholas J, Avants, Brian B, Cook, Philip A, Yuanjie Zheng, Egan, Alexander, Yushkevich, Paul A, Gee, James C

“…A variant of the popular nonparametric nonuniform intensity normalization (N3) algorithm is proposed for bias field correction. Given the superb performance of…”
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Associations between children's socioeconomic status and prefrontal cortical thickness by Lawson, Gwendolyn M., Duda, Jeffrey T., Avants, Brian B., Wu, Jue, Farah, Martha J.

“…Childhood socioeconomic status (SES) predicts executive function performance and measures of prefrontal cortical function, but little is known about its…”
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The ANTsX ecosystem for quantitative biological and medical imaging by Tustison, Nicholas J., Cook, Philip A., Holbrook, Andrew J., Johnson, Hans J., Muschelli, John, Devenyi, Gabriel A., Duda, Jeffrey T., Das, Sandhitsu R., Cullen, Nicholas C., Gillen, Daniel L., Yassa, Michael A., Stone, James R., Gee, James C., Avants, Brian B.

“…The Advanced Normalizations Tools ecosystem, known as ANTsX, consists of multiple open-source software libraries which house top-performing algorithms used…”
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The Insight ToolKit image registration framework by Avants, Brian B, Tustison, Nicholas J, Stauffer, Michael, Song, Gang, Wu, Baohua, Gee, James C

“…Publicly available scientific resources help establish evaluation standards, provide a platform for teaching and improve reproducibility. Version 4 of the…”
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The optimal template effect in hippocampus studies of diseased populations by Avants, Brian B., Yushkevich, Paul, Pluta, John, Minkoff, David, Korczykowski, Marc, Detre, John, Gee, James C.

“…We evaluate the impact of template choice on template-based segmentation of the hippocampus in epilepsy. Four dataset-specific strategies are quantitatively…”
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An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data by Avants, Brian B., Tustison, Nicholas J., Wu, Jue, Cook, Philip A., Gee, James C.

“…We introduce Atropos , an ITK-based multivariate n -class open source segmentation algorithm distributed with ANTs ( http://www.picsl.upenn.edu/ANTs ). The…”
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Learning image-based spatial transformations via convolutional neural networks: A review by Tustison, Nicholas J., Avants, Brian B., Gee, James C.

“…Recent methodological innovations in deep learning and associated advancements in computational hardware have significantly impacted the various core subfields…”
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Nearly automatic segmentation of hippocampal subfields in in vivo focal T2-weighted MRI by Yushkevich, Paul A., Wang, Hongzhi, Pluta, John, Das, Sandhitsu R., Craige, Caryne, Avants, Brian B., Weiner, Michael W., Mueller, Susanne

“…We present and evaluate a new method for automatically labeling the subfields of the hippocampal formation in focal 0.4×0.5×2.0mm3 resolution T2-weighted…”
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Registration based cortical thickness measurement by Das, Sandhitsu R., Avants, Brian B., Grossman, Murray, Gee, James C.

“…Cortical thickness is an important biomarker for image-based studies of the brain. A diffeomorphic registration based cortical thickness (DiReCT) measure is…”
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Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration by Klein, Arno, Andersson, Jesper, Ardekani, Babak A., Ashburner, John, Avants, Brian, Chiang, Ming-Chang, Christensen, Gary E., Collins, D. Louis, Gee, James, Hellier, Pierre, Song, Joo Hyun, Jenkinson, Mark, Lepage, Claude, Rueckert, Daniel, Thompson, Paul, Vercauteren, Tom, Woods, Roger P., Mann, J. John, Parsey, Ramin V.

“…All fields of neuroscience that employ brain imaging need to communicate their results with reference to anatomical regions. In particular, comparative…”
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A digital atlas of the dog brain by Datta, Ritobrato, Lee, Jongho, Duda, Jeffrey, Avants, Brian B, Vite, Charles H, Tseng, Ben, Gee, James C, Aguirre, Gustavo D, Aguirre, Geoffrey K

“…There is a long history and a growing interest in the canine as a subject of study in neuroscience research and in translational neurology. In the last few…”
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Relation of Childhood Home Environment to Cortical Thickness in Late Adolescence: Specificity of Experience and Timing by Avants, Brian B, Hackman, Daniel A, Betancourt, Laura M, Lawson, Gwendolyn M, Hurt, Hallam, Farah, Martha J

“…What are the long-term effects of childhood experience on brain development? Research with animals shows that the quality of environmental stimulation and…”
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Optimal Symmetric Multimodal Templates and Concatenated Random Forests for Supervised Brain Tumor Segmentation (Simplified) with ANTsR by Tustison, Nicholas J., Shrinidhi, K. L., Wintermark, Max, Durst, Christopher R., Kandel, Benjamin M., Gee, James C., Grossman, Murray C., Avants, Brian B.

“…Segmenting and quantifying gliomas from MRI is an important task for diagnosis, planning intervention, and for tracking tumor changes over time. However, this…”
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