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Amitava Majumdar

Researcher at University of California, San Diego

Publications -  17
Citations -  1318

Amitava Majumdar is an academic researcher from University of California, San Diego. The author has contributed to research in topics: CUDA & Monte Carlo method. The author has an hindex of 12, co-authored 16 publications receiving 1201 citations.

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Implementation and evaluation of various demons deformable image registration algorithms on a GPU

TL;DR: In this article, a gray-scale-based deformable image registration (DIR) algorithm called demons and five of its variants were implemented on GPUs using the compute unified device architecture (CUDA) programming environment.
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Implementation and evaluation of various demons deformable image registration algorithms on GPU

TL;DR: It is interesting to find out that the original passive force demons algorithms outperform subsequently proposed variants based on the combination of accuracy, efficiency and ease of implementation.
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Development of a GPU-based Monte Carlo dose calculation code for coupled electron-photon transport

TL;DR: This paper has implemented the dose planning method (DPM) Monte Carlo dose calculation package on the GPU architecture under the CUDA platform and demonstrated adequate accuracy of the GPU implementation for both electron and photon beams in the radiotherapy energy range.
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GPU-based ultrafast IMRT plan optimization

TL;DR: This work presents the implementation of an intensity-modulated radiation therapy (IMRT) optimization algorithm on graphics processing units (GPUs) using a penalty-based quadratic optimization model, which is solved by using a gradient projection method with Armijo's line search rule.
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Quantity and distribution of levator ani stretch during simulated vaginal childbirth

TL;DR: This work may help explain epidemiologic data regarding the pelvic floor impact of a first delivery and the models and simulation technique need refinement, but they may help study the effect of labor parameters on the pelvicfloor.