S M Krishnan
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Explore the profile of S M Krishnan including associated specialties, affiliations and a list of published articles.
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20
Citations
344
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Recent Articles
1.
Schindler E, Krishnan S, Mathijssen R, Ruggiero A, Schiavon G, Friberg L
CPT Pharmacometrics Syst Pharmacol
. 2017 Apr;
6(7):449-457.
PMID: 28379635
Three-dimensional and density-based tumor metrics have been suggested to better discriminate tumor response to treatment than unidimensional metrics, particularly for tumors exhibiting nonuniform size changes. In the developed pharmacometric modeling...
2.
Krishnan S, Dowling J, Ling Y, Diep H, Chan C, Ferens D, et al.
Br J Pharmacol
. 2015 Jun;
173(4):752-65.
PMID: 26103560
Background And Purpose: Inflammasomes are multimeric complexes that facilitate caspase-1-mediated processing of the pro-inflammatory cytokines IL-1β and IL-18. Clinical hypertension is associated with renal inflammation and elevated circulating levels of...
3.
Krishnan S, Sobey C, Latz E, Mansell A, Drummond G
Br J Pharmacol
. 2014 Aug;
171(24):5589-602.
PMID: 25117218
Chronic inflammation in the kidneys and vascular wall is a major contributor to hypertension. However, the stimuli and cellular mechanisms responsible for such inflammatory responses remain poorly defined. Inflammasomes are...
4.
Tuttle-Newhall J, Krishnan S, Levy M, McBride V, Orlowski J, Sung R
Am J Transplant
. 2009 Apr;
9(4 Pt 2):879-93.
PMID: 19341413
Organ transplantation remains the only life-saving therapy for many patients with organ failure. Despite the work of the Organ Donation and Transplant Collaboratives, and the marked increases in deceased donors...
5.
Magee J, Krishnan S, Benfield M, Hsu D, Shneider B
Am J Transplant
. 2008 Mar;
8(4 Pt 2):935-45.
PMID: 18336697
This article represents the sixth annual review of the current state of pediatric transplantation in the United States from the Scientific Registry of Transplant Recipients (SRTR). It presents updated trends,...
6.
Zhou J, Chan K, Chong V, Krishnan S
Conf Proc IEEE Eng Med Biol Soc
. 2007 Feb;
2005:6411-4.
PMID: 17281735
A novel image segmentation approach by exploring one-class support vector machine (SVM) has been developed for the extraction of brain tumor from magnetic resonance (MR) images. Based on one-class SVM,...
7.
Dandapat S, Xu J, Chutatape O, Krishnan S
Conf Proc IEEE Eng Med Biol Soc
. 2007 Feb;
2004:1541-4.
PMID: 17271991
In this work, we propose a wavelet-based technique for embedding medical data in a medical image. In the spectral domain, the patient data are embedded into the wavelet coefficients of...
8.
Kannathal N, Rajendra Acharya U, Ng E, Krishnan S, Min L, Laxminarayan S
Comput Methods Programs Biomed
. 2006 Apr;
82(2):87-96.
PMID: 16621125
The electrocardiogram (ECG) is a representative signal containing useful information about the condition of the heart. The shape and size of the P-QRS-T wave, the r-r interval, etc., may help...
9.
Kwek L, Fu S, Chia T, Diong C, Tang C, Krishnan S
Appl Opt
. 2005 Jul;
44(19):4004-8.
PMID: 16004047
An artificial neural network (ANN) has been used in various clinical research for the prediction and classification of data in cancer disease. Previous research in this direction focused on the...
10.
Zheng M, Krishnan S, Tjoa M
Comput Biol Med
. 2004 Dec;
35(3):259-74.
PMID: 15582632
This paper presents an intelligent decision support system designed on a decision fusion framework coupled with a priori knowledge base for abnormality detection from endoscopic images. Sub-decisions are made based...