Search Results - "van Eede, Matthijs C"

Progressive neuroanatomical changes caused by Grin1 loss-of-function mutation by Intson, Katheron, van Eede, Matthijs C., Islam, Rehnuma, Milenkovic, Marija, Yan, Yuanye, Salahpour, Ali, Henkelman, R. Mark, Ramsey, Amy J.

“…NMDA receptor dysfunction is central to the encephalopathies caused by missense mutations in the NMDA receptor subunit genes. Missense variants of GRIN1,…”
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Preparation of fixed mouse brains for MRI by Cahill, Lindsay S., Laliberté, Christine L., Ellegood, Jacob, Spring, Shoshana, Gleave, Jacqueline A., van Eede, Matthijs C., Lerch, Jason P., Henkelman, R. Mark

“…In fixed mouse brain magnetic resonance images, a high prevalence of fixation artifacts have been observed. Of more than 1700 images of fixed brains acquired…”
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4D atlas of the mouse embryo for precise morphological staging by Wong, Michael D, van Eede, Matthijs C, Spring, Shoshana, Jevtic, Stefan, Boughner, Julia C, Lerch, Jason P, Henkelman, R Mark

“…After more than a century of research, the mouse remains the gold-standard model system, for it recapitulates human development and disease and is quickly and…”
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Pydpiper: a flexible toolkit for constructing novel registration pipelines by Friedel, Miriam, van Eede, Matthijs C, Pipitone, Jon, Chakravarty, M Mallar, Lerch, Jason P

“…Using neuroimaging technologies to elucidate the relationship between genotype and phenotype and brain and behavior will be a key contribution to biomedical…”
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Performing label-fusion-based segmentation using multiple automatically generated templates by Chakravarty, M. Mallar, Steadman, Patrick, van Eede, Matthijs C., Calcott, Rebecca D., Gu, Victoria, Shaw, Philip, Raznahan, Armin, Collins, D. Louis, Lerch, Jason P.

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P63 expression plays a role in developmental rate, embryo size, and local morphogenesis by Boughner, Julia C., Eede, Matthijs C., Spring, Shoshana, Yu, Lisa X., Rostampour, Nasim, Henkelman, R. Mark

“…Background: The p63 gene is integral to the development of many body parts including limb, palate, teeth, and urogenital tract. Loss of p63 expression may…”
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Mouse models of 17q21.31 microdeletion and microduplication syndromes highlight the importance of Kansl1 for cognition by Arbogast, Thomas, Iacono, Giovanni, Chevalier, Claire, Afinowi, Nurudeen O, Houbaert, Xander, van Eede, Matthijs C, Laliberte, Christine, Birling, Marie-Christine, Linda, Katrin, Meziane, Hamid, Selloum, Mohammed, Sorg, Tania, Nadif Kasri, Nael, Koolen, David A, Stunnenberg, Henk G, Henkelman, R Mark, Kopanitsa, Maksym, Humeau, Yann, De Vries, Bert B A, Herault, Yann

“…Koolen-de Vries syndrome (KdVS) is a multi-system disorder characterized by intellectual disability, friendly behavior, and congenital malformations. The…”
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A Simulation Toolkit for Testing the Sensitivity and Accuracy of Corticometry Pipelines by OmidYeganeh, Mona, Khalili-Mahani, Najmeh, Bermudez, Patrick, Ross, Alison, Lepage, Claude, Vincent, Robert D., Jeon, S., Lewis, Lindsay B., Das, S., Zijdenbos, Alex P., Rioux, Pierre, Adalat, Reza, Van Eede, Matthijs C., Evans, Alan C.

“…In recent years, the replicability of neuroimaging findings has become an important concern to the research community. Neuroimaging pipelines consist of myriad…”
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Performing label‐fusion‐based segmentation using multiple automatically generated templates by Chakravarty, M. Mallar, Steadman, Patrick, Eede, Matthijs C., Calcott, Rebecca D., Gu, Victoria, Shaw, Philip, Raznahan, Armin, Collins, D. Louis, Lerch, Jason P.

“…Classically, model‐based segmentation procedures match magnetic resonance imaging (MRI) volumes to an expertly labeled atlas using nonlinear registration. The…”
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Structural covariance of brain region volumes is associated with both structural connectivity and transcriptomic similarity by Yee, Yohan, Fernandes, Darren J., French, Leon, Ellegood, Jacob, Cahill, Lindsay S., Vousden, Dulcie A., Spencer Noakes, Leigh, Scholz, Jan, van Eede, Matthijs C., Nieman, Brian J., Sled, John G., Lerch, Jason P.

“…An organizational pattern seen in the brain, termed structural covariance, is the statistical association of pairs of brain regions in their anatomical…”
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LAMA: automated image analysis for the developmental phenotyping of mouse embryos by Horner, Neil R, Venkataraman, Shanmugasundaram, Armit, Chris, Casero, Ramón, Brown, James M, Wong, Michael D, van Eede, Matthijs C, Henkelman, R Mark, Johnson, Sara, Teboul, Lydia, Wells, Sara, Brown, Steve D, Westerberg, Henrik, Mallon, Ann-Marie

“…Advanced 3D imaging modalities, such as micro-computed tomography (micro-CT), have been incorporated into the high-throughput embryo pipeline of the…”
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Mapping registration sensitivity in MR mouse brain images by van Eede, Matthijs C., Scholz, Jan, Chakravarty, M. Mallar, Henkelman, R. Mark, Lerch, Jason P.

“…Nonlinear registration algorithms provide a way to estimate structural (brain) differences based on magnetic resonance images. Their ability to align images of…”
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Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation by Noothout, Julia M. H., Lessmann, Nikolas, van Eede, Matthijs C., van Harten, Louis D., Sogancioglu, Ecem, Heslinga, Friso G., Veta, Mitko, van Ginneken, Bram, Išgum, Ivana

“…Purpose: Ensembles of convolutional neural networks (CNNs) often outperform a single CNN in medical image segmentation tasks, but inference is computationally…”
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Performing label-fusion-based segmentation using multiple automatically generated templates: MAGeT Brain: Label Fusion Segmentation Using Automatically Generated Templates by Chakravarty, M. Mallar, Steadman, Patrick, van Eede, Matthijs C., Calcott, Rebecca D., Gu, Victoria, Shaw, Philip, Raznahan, Armin, Collins, D. Louis, Lerch, Jason P.

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