Search Results - "Sonawane, Rajendra"

A novel and robust Bayesian approach for segmentation of psoriasis lesions and its risk stratification by Shrivastava, Vimal K., Londhe, Narendra D., Sonawane, Rajendra S., Suri, Jasjit S.

“…•Automatic segmentation of psoriatic lesion using Bayesian model.•Multiclass psoriasis risk assessment system (pRAS).•Implementation of nine pRAS systems which…”
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Objective scoring of psoriasis area and severity index in 2D RGB images using deep learning by Raj, Ritesh, Londhe, Narendra D., Sonawane, Rajendra S.

“…Psoriasis Severity and Area Index (PASI) is a gold standard scoring system for the assessment of Psoriasis skin disease. Generally, PASI scoring is done…”
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Computer-aided diagnosis of psoriasis skin images with HOS, texture and color features: A first comparative study of its kind by Shrivastava, Vimal K, Londhe, Narendra D, Sonawane, Rajendra S, Suri, Jasjit S

“…Highlights • Comparative analysis of systems with different feature sets. • HOS features extraction for psoriasis images. • Largest set of mathematical…”
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Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis by Dash, Manoranjan, Londhe, Narendra D., Ghosh, Subhojit, Shrivastava, Vimal K., Sonawane, Rajendra S.

“…[Display omitted] •Objective analysis of psoriasis disease over a larger dataset of 780 images.•Implementation of swarm intelligence algorithms to obtain…”
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Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigm by Shrivastava, Vimal K, Londhe, Narendra D, Sonawane, Rajendra S, Suri, Jasjit S

“…Abstract A large percentage of dermatologist׳s decision in psoriasis disease assessment is based on color. The current computer-aided diagnosis systems for…”
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First review on psoriasis severity risk stratification: An engineering perspective by Shrivastava, Vimal K, Londhe, Narendra D, Sonawane, Rajendra S, Suri, Jasjit S

“…Abstract Computer-aided diagnosis (CAD) systems have been used for characterization of several dermatologic diseases in the last few years. Psoriasis is a…”
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Understanding Tissue-Specific Gene Regulation by Sonawane, Abhijeet Rajendra, Platig, John, Fagny, Maud, Chen, Cho-Yi, Paulson, Joseph Nathaniel, Lopes-Ramos, Camila Miranda, DeMeo, Dawn Lisa, Quackenbush, John, Glass, Kimberly, Kuijjer, Marieke Lydia

“…Although all human tissues carry out common processes, tissues are distinguished by gene expression patterns, implying that distinct regulatory programs…”
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A prospective observational study of the impact of the quadratus lumborum block (QLl1B) on post operative pain after laparoscopic ventral hernia repair by Patkar, Amrita, Kalwadia, Neha, Potdar, Ojas, Sonawane, Rajendra, Wagh, Harshal

“…Aims & Objectives: To evaluate the outcome of addition of a pre operative quadratus lumborum type 1 nerve block (QL1B) in an elective laparoscopic ventral…”
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Psoriasis Lesion Detection Using Hybrid Seeker Optimization-based Image Clustering by Dash, Manoranjan, Londhe, Narendra Digambar, Ghosh, Subhojit, Raj, Ritesh, Sonawane, Rajendra

“…In recent years, there has been a massive increase in the number of people suffering from psoriasis. For proper psoriasis diagnosis, psoriasis lesion…”
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Reliability analysis of psoriasis decision support system in principal component analysis framework by Shrivastava, Vimal K., Londhe, Narendra D., Sonawane, Rajendra S., Suri, Jasjit S.

“…Reliability and accuracy are essential components in any decision support system. These become even more important with a rising number of features during the…”
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Using network science tools to identify novel diet patterns in prodromal dementia by Samieri, Cécilia, Sonawane, Abhijeet Rajendra, Lefèvre-Arbogast, Sophie, Helmer, Catherine, Grodstein, Francine, Glass, Kimberly

“…OBJECTIVETo use network science to model complex diet relationships a decade before onset of dementia in a large French cohort, the 3-City Bordeaux study…”
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Editorial: Single-cell OMICs analyses in cardiovascular diseases by Sonawane, Abhijeet Rajendra, Pucéat, Michel, Jo, Hanjoong

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Connections for Matters of the Heart: Network Medicine in Cardiovascular Diseases by Sonawane, Abhijeet Rajendra, Aikawa, Elena, Aikawa, Masanori

“…Cardiovascular diseases (CVD) are diverse disorders affecting the heart and vasculature in millions of people worldwide. Like other fields, CVD research has…”
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Constructing gene regulatory networks using epigenetic data by Sonawane, Abhijeet Rajendra, DeMeo, Dawn L., Quackenbush, John, Glass, Kimberly

“…The biological processes that drive cellular function can be represented by a complex network of interactions between regulators (transcription factors) and…”
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GRAND: a database of gene regulatory network models across human conditions by Ben Guebila, Marouen, Lopes-Ramos, Camila M, Weighill, Deborah, Sonawane, Abhijeet Rajendra, Burkholz, Rebekka, Shamsaei, Behrouz, Platig, John, Glass, Kimberly, Kuijjer, Marieke L, Quackenbush, John

“…Abstract Gene regulation plays a fundamental role in shaping tissue identity, function, and response to perturbation. Regulatory processes are controlled by…”
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TransUnet for psoriasis lesion segmentation by Soni, Samiksha, Londhe, Narendra D., Raj, Ritesh, Sonawane, Rajendra S.

“…Outstanding performance of the transformer-based model in the field of natural language processing has piqued the interest of researchers in investigating…”
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Deep Learning based Multi-Segmentation for Automatic Estimation of Psoriasis Area Score by Raj, Ritesh, Londhe, Narendra D., Sonawane, Rajendra S.

“…Psoriasis is an incurable and enduring skin disease. The standard metric used for the measurement of psoriasis severity and extent is known as Psoriasis Area…”
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Automatic Psoriasis Lesion Segmentation from Raw Color Images using Deep Learning by Raj, Ritesh, Londhe, Narendra D., Sonawane, Rajendra S.

“…Psoriasis is a chronic skin disease having raised, red, and scaly patches over the different regions of the human body. The segmentation of psoriasis lesions…”
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PsLSNetV2: End to end deep learning system for measurement of area score of psoriasis regions in color images by Raj, Ritesh, Londhe, Narendra D., Sonawane, Rajendra

“…•Proposed a deep learning-based fully automated and single-stage framework that helps in objective assessment of psoriasis area score from color images of…”
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Automated psoriasis lesion segmentation from unconstrained environment using residual U-Net with transfer learning by Raj, Ritesh, Londhe, Narendra D., Sonawane, Rajendra

“…•Proposed a fully automatic approach for psoriasis lesion segmentation from the digital images acquired in the unconstrained environment having non-uniform or…”
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