Institution
National Institute of Technology, Tiruchirappalli
Education•Tiruchchirappalli, Tamil Nadu, India•
About: National Institute of Technology, Tiruchirappalli is a education organization based out in Tiruchchirappalli, Tamil Nadu, India. It is known for research contribution in the topics: Welding & Computer science. The organization has 5164 authors who have published 8026 publications receiving 111972 citations. The organization is also known as: Regional Engineering College & NIT Trichy.
Papers published on a yearly basis
Papers
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TL;DR: This study assesses the state-of-the-art machine learning methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018, and investigates the challenge of identifying the best ML algorithms for each of these tasks.
Abstract: Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumoris a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses thestate-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross tota lresection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset.
1,165 citations
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TL;DR: In this paper, the authors reviewed the fundamentals and recent developments in electro-fenton process and evaluated the effects of various operating parameters and their optimum ranges for maximum pollutant removal and mineralization.
804 citations
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TL;DR: In this article, Al2O3-Cu hybrid particles have been synthesized by hydrogen reduction technique from the powder mixture of Al 2O3 and CuO in 90:10 weight proportions obtained from a chemical route synthesis and the experimental results have shown that both thermal conductivity and viscosity of the prepared hybrid nanofluids increase with the nanoparticles volume concentration.
687 citations
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TL;DR: In this paper, experimental investigations and theoretical determination of effective thermal conductivity and viscosity of Al 2 O 3 /H 2 O nanofluid are reported and it is found that the viscoverage increase is substantially higher than the increase in thermal conductivities.
672 citations
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TL;DR: In this article, a laminar convective heat transfer and pressure drop characteristics through a uniformly heated circular tube using Al2O3-Cu/water hybrid nanofluid is presented.
667 citations
Authors
Showing all 5283 results
Name | H-index | Papers | Citations |
---|---|---|---|
Muthupandian Ashokkumar | 76 | 511 | 20771 |
Franz Grieser | 69 | 353 | 16128 |
Satya Prakash | 55 | 322 | 9896 |
Kunwar P. Singh | 45 | 144 | 11203 |
Sambandam Anandan | 44 | 318 | 8050 |
Ranjan Ganguli | 43 | 324 | 5900 |
S. Vinodh | 41 | 239 | 5610 |
Takuji Ishikawa | 41 | 276 | 6571 |
S. Suresh | 39 | 157 | 5905 |
J. Sivaraman | 39 | 174 | 4924 |
Narayana Prasad Padhy | 38 | 196 | 5824 |
R. Narayanasamy | 37 | 192 | 4620 |
Sundaram Suresh | 37 | 216 | 5583 |
Vinay Kumaran | 36 | 262 | 4473 |
A. Noorul Haq | 36 | 96 | 4062 |