1,724,308 research outputs found
deepali: Image, point set, and surface registration in PyTorch
No full textAn open source research library for image, point set, and surface registration in PyTorch, which is developed and maintained by the HeartFlow-Imperial College London research lab at the Biomedical Image Analysis Group.
Deepali is a Hindu/Sanskrit Indian given name, which means "joy" as in the gratification one may feel working with code built on a modern tensor library with support for automatic differentiation, and "chain of lamps" alluding to the application of the chain rule by torch.autograd, the concatenation of spatial coordinate transformations, and furthermore the (sequential) composition of PyTorch modules. In addition, the English words "deep" and "ali(-gnment)" partially contained in this name should highlight that this project is not only suitable for traditional non-learning based registration, but in particular facilitates deep learning based approaches to image alignment.If you use this software, please cite it using these metadata
deepali: Image, point set, and surface registration in PyTorch
No full textAn open source research library for image, point set, and surface registration in PyTorch, which is developed and maintained by the HeartFlow-Imperial College London research lab at the Biomedical Image Analysis Group.
Deepali is a Hindu/Sanskrit Indian given name, which means "joy" as in the gratification one may feel working with code built on a modern tensor library with support for automatic differentiation, and "chain of lamps" alluding to the application of the chain rule by torch.autograd, the concatenation of spatial coordinate transformations, and furthermore the (sequential) composition of PyTorch modules. In addition, the English words "deep" and "ali(-gnment)" partially contained in this name should highlight that this project is not only suitable for traditional non-learning based registration, but in particular facilitates deep learning based approaches to image alignment.If you use this software, please cite it using these metadata
deepali: Image, point set, and surface registration in PyTorch
No full textAn open source research library for image, point set, and surface registration in PyTorch, which is developed and maintained by the HeartFlow-Imperial College London research lab at the Biomedical Image Analysis Group.
Deepali is a Hindu/Sanskrit Indian given name, which means "joy" as in the gratification one may feel working with code built on a modern tensor library with support for automatic differentiation, and "chain of lamps" alluding to the application of the chain rule by torch.autograd, the concatenation of spatial coordinate transformations, and furthermore the (sequential) composition of PyTorch modules. In addition, the English words "deep" and "ali(-gnment)" partially contained in this name should highlight that this project is not only suitable for traditional non-learning based registration, but in particular facilitates deep learning based approaches to image alignment.If you use this software, please cite it using these metadata
Peer observation: a collaborative and mutually rewarding activity
Get PDFPeer observation is an effective tool for improving teaching instructions and career development, says Deepali Dharmaraj
Impact of ghrelin on islet size in non-pregnant and pregnant female mice
No full textReducing ghrelin by ghrelin gene knockout (GKO), ghrelin-cell ablation, or high-fat diet feeding increases islet size and β-cell mass in male mice. Here, we determined if reducing ghrelin also enlarges islets in females, and if pregnancy-associated changes in islet size are related to reduced ghrelin. Among the most notable findings, islet, β-cell cross-sectional area, and β-cell mass were larger (P=0.057 for β-cell mass) in female GKO mice than WT littermates. Pregnancy was associated with reduced plasma ghrelin and increased plasma LEAP2 [a potent ghrelin receptor (GHSR) antagonist] in WT mice. Ghrelin deletion and pregnancy each increased islet cross-sectional area (by ~19.9-30.2% and ~34.9-46.4%, respectively), percentage of large islets (>25 µm2 x 103, by ~21.8-42% and ~21.2-41.2%, respectively), β-cell cross-sectional area (by ~19.7-30.3% and ~43.3-56.1%, respectively) and β-cell mass (by ~15.7-23.8% and ~65.2-76.8%, respectively). Neither islet cross-sectional area, β-cell cross-sectional area, nor β-cell mass correlated with plasma ghrelin, although all positively correlated with plasma LEAP2 (P=0.081 for islet cross-sectional area). In ad lib-fed mice, there was an effect of pregnancy, but not ghrelin deletion, to change (raise) plasma insulin without impacting blood glucose. Similarly, there was an effect of pregnancy, but not ghrelin deletion, to change (lower) blood glucose area under the curve during a glucose tolerance test. Thus, genetic deletion of ghrelin increases islet size and β-cell cross-sectional area in female mice, similar to reports in males. Yet, despite pregnancy-associated reductions in ghrelin, other factors appear to govern islet enlargement and changes to insulin sensitivity and glucose tolerance in the setting of pregnancy. In the case of islet size and β-cell mass, one of those factors may be the pregnancy-associated increase in LEAP2
The Passage
No full textI am interrogating a fluid positionality that is continuously shifting, leading me to contextualize the research stance in the between and betwixt of Passage. I am examining the experience of passing from one place, condition, or stage to another and highlight the in-between space made visible through artwork produced with various methods and processes. Throughout, absence is indicated via aesthetics, materiality, and immateriality pointing to subtle boundaries between play and seriousness, the real and imaginary, the ephemeral and permanent.- Deepali Raiththa https://gradshow.ecuad.ca/project/your-project-5
Peer observation: Enhancing the experience of giving and receiving feedback
Get PDFIn this article, Deepali Dharmaraj explores the role of feedback in the context of peer observation and identifies key principles and practices that enable the experience to be mutually beneficial for both the observer and observed
COVID-19 is exacerbating South Asia’s impending food and malnutrition crisis
No full textCountries across South Asia not only face an unprecedented public health challenge in responding to the spread of COVID-19, but also an impending food and nutrition crisis. Here Deepali Sharma (University of Delhi, India) analyses health data from across the region to explain why the public health crisis is impacting the pre-existing food and malnutrition crisis across the region
Data for water activity for Terra Sirenum salt combinations
No full text<p>Water activity values for various salt combinations based on Terra Sirenum mineralogy.</p>
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