Search Results - "Govind, Kishan"

Atopic dermatitis is associated with increased prevalence of multiple ocular comorbidities by Govind, Kishan, Whang, Katherine, Khanna, Raveena, Scott, Adrienne W., Kwatra, Shawn G.

“…Atopic dermatitis (AD) is a chronic, pruritic inflammatory skin disease with a considerable burden of disease.1 In recent years, AD has been found to be…”
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Deep learning of crystalline defects from TEM images: a solution for the problem of ‘never enough training data’ by Govind, Kishan, Oliveros, Daniela, Dlouhy, Antonin, Legros, Marc, Sandfeld, Stefan

“…Abstract Crystalline defects, such as line-like dislocations, play an important role for the performance and reliability of many metallic devices. Their…”
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Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties by Nguyen, Binh Duong, Potapenko, Pavlo, Demirci, Aytekin, Govind, Kishan, Bompas, Sébastien, Sandfeld, Stefan

“…Determining, understanding, and predicting the so-called structure–property relation is an important task in many scientific disciplines, such as chemistry,…”
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Instance Segmentation of Dislocations in TEM Images by Ruzaeva, Karina, Govind, Kishan, Legros, Marc, Sandfeld, Stefan

“…Quantitative Transmission Electron Microscopy (TEM) during in-situ straining experiment is able to reveal the motion of dislocations - linear defects in the…”
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Instance Segmentation of Dislocations in TEM Images by Ruzaeva, Karina, Govind, Kishan, Legros, Marc, Sandfeld, Stefan

“…IEEE 23rd International Conference on Nanotechnology (2023) 1-6 Quantitative Transmission Electron Microscopy (TEM) during in-situ straining experiment is able…”
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Enabling quantitative analysis of in situ TEM experiments: A high-throughput, deep learning-based approach tailored to the dynamics of dislocations by Song, Hengxu, Nguyen, Binh Duong, Govind, Kishan, Berta, Dénes, Ispánovity, Péter Dusán, Legros, Marc, Sandfeld, Stefan

“…In situ TEM is by far the most commonly used microscopy method for imaging dislocations, i.e., line-like defects in crystalline materials. However,…”
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Micromechanical modelling of coupled crystal plasticity and hydrogen diffusion by Hassan, Hamad ul, Govind, Kishan, Hartmaier, Alexander

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Deep learning-based single-shot prediction of differential effects of anti-VEGF treatment in patients with diabetic macular edema by Rasti, Reza, Allingham, Michael J, Mettu, Priyatham S, Kavusi, Sam, Govind, Kishan, Cousins, Scott W, Farsiu, Sina

“…Anti-vascular endothelial growth factor (VEGF) agents are widely regarded as the first line of therapy for diabetic macular edema (DME) but are not universally…”
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Deep Learning of Crystalline Defects from TEM images: A Solution for the Problem of "Never Enough Training Data" by Govind, Kishan, Oliveros, Daniela, Dlouhy, Antonin, Legros, Marc, Sandfeld, Stefan

“…Crystalline defects, such as line-like dislocations, play an important role for the performance and reliability of many metallic devices. Their interaction and…”
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Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties by Nguyen, Binh Duong, Potapenko, Pavlo, Dermici, Aytekin, Govind, Kishan, Bompas, Sébastien, Sandfeld, Stefan

“…Determining, understanding, and predicting the so-called structure-property relation is an important task in many scientific disciplines, such as chemistry,…”
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Late migration of dexamethasone implant into anterior chamber by Cronin, Kevin M, Govind, Kishan, Kurup, Shree K

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