Dr. Basavaprasad B

Author & Researcher: Dr. Basavaprasad Benchamardimath

Primary Research Areas: Graph Theory, Digital Image Processing, E-Governance, and Algorithm Design.

I. Books & Academic Texts

Basavaprasad, B. (2023). DSC 3D Design and Analysis of Algorithms. ABS Books. ISBN: 978-9394461550.

A foundational text for undergraduate Computer Science, focusing on complexity analysis and practical algorithmic structures.

II. Key Journal Publications (Chronological Selection)

Dr. Basavaprasad's research is heavily cited in the field of Graph Cuts and Medical Imaging.

2021 – 2025: Recent Innovations

Basavaprasad, B., & Ravindra, S. (2022). "Technology in Indian Agriculture - A Indonesian Journal of Electrical Engineering and Computer Science.

Basavaprasad, B. (2021). "Analysis of Rice Ageing Process Using Fuzzy and Graph Journal of Computational and Theoretical Nanoscience.

Basavaprasad, B. (2020). "Image Segmentation using MSNCut International Journal of Computer Appli

EDUCATION

Ph.D. in Computer Science (2019)

M.Phil. in Computer Science

Master of Science (M.Sc.) in Computer Science

Bachelor of Science (B.Sc.)

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence, Computer Vision and Pattern Recognition, Multidisciplinary

FUTURE PROJECTS

Scopus Publications

Microbial dysbiosis in systemic lupus erythematosus: a scientometric study
Miaomiao Zhao, Xiaoting Wen, Ruiling Liu, Ke Xu
Frontiers in Microbiology, 2024
IntroductionSystemic lupus erythematosus (SLE) is a chronic autoimmune disease. Mounting evidence suggests microbiota dysbiosis augment autoimmune response. This study aims to provide a systematic overview of this research field in SLE through a bibliometric analysis.MethodsWe conducted a comprehensive search and retrieval of literature related to microbial researches in SLE from the Web of Science Core Collection (WOSCC) database. The retrieved articles were subjected to bibliometric analysis using VOSviewer and Bibliometricx to explore annual publication output, collaborative patterns, research hotspots, current research status, and emerging trends.ResultsIn this study, we conducted a comprehensive analysis of 218 research articles and 118 review articles. The quantity of publications rises annually, notably surging in 2015 and 2018. The United States and China emerged as the leading contributors in microbial research of SLE. Mashhad University of Medical Sciences had the highest publication outputs among the institutions. Frontiers in Immunology published the most papers. Luo XM and Margolles A were the most prolific and highly cited contributors among individual authors. Microbial research in SLE primarily focused on changes in microbial composition, particularly gut microbiota, as well as the mechanisms and practical applications in SLE. Recent trends emphasize “metabolites,” “metabolomics,” “fatty acids,” “T cells,” “lactobacillus,” and “dietary supplementation,” indicating a growing emphasis on microbial metabolism and interventions in SLE.ConclusionThis study provides a thorough analysis of the research landscape concerning microbiota in SLE. The microbial research in SLE mainly focused on three aspects: microbial dysbiosis, mechanism studies and translational studies (microbiota-based therapeutics). It identifies current research trends and focal points, offering valuable guidance for scholars in the field.
Immune podocytes in the immune microenvironment of lupus nephritis (Review)
Ruiling Liu, Xiaoting Wen, Xinyue Peng, Miaomiao Zhao, Liangyu Mi, Jiamin Lei, Ke Xu
Molecular Medicine Reports, 2023
Systemic lupus erythematosus (SLE) is a systemic autoimmune disorder caused by the loss of tolerance to endogenous nuclear antigens such as double‑stranded DNA, leading to the proliferation of T cells and subsequent activation of B cells, which results in serious organ damage and life‑threatening complications such as lupus nephritis. Lupus nephritis (LN) develops as a frequent complication of SLE, accounting for >60% of SLE cases, and is characterized by proteinuria and heterogeneous histopathological findings. Glomerular injury serves a role in proteinuria as podocyte damage is the leading contributor. Numerous studies have reported that podocytes are involved in the immune response that promotes LN progression. In LN, immune complex deposition stimulates dendritic cells to secrete inflammatory cytokines that activate T cells and B cells. B cells secrete autoantibodies that attack and damage the renal podocytes, leading to renal podocyte injury. The injured podocytes trigger inflammatory cells through the expression of toll‑like receptors and trigger T cells through major histocompatibility complexes and CD86, thereby participating in the local immune response and the exacerbation of podocyte injury. Based on the existing literature, the present review summarizes the research progress of podocytes in LN under the local immune microenvironment of the kidney, explores the mechanism of podocyte injury under the immune microenvironment, and evaluates podocytes as a potential therapeutic target for LN.
Identification of Anti-SNRPA as a Novel Serological Biomarker for Systemic Sclerosis Diagnosis
Chenxi Liu, Guang Song, Songxin Yan, Yangzhige He, Chaojun Hu, Yong Hou, Xiaoting Wen, Liubing Li, Fengchun Zhang, Heng Zhu, Yongzhe Li
Journal of Proteome Research, 2023
Systemic sclerosis (SSc) is a systemic autoimmune disorder that leads to vasculopathy and tissue fibrosis. A lack of reliable biomarkers has been a challenge for clinical diagnosis of the disease. We employed a protein array-based approach to identify and validate SSc-specific autoantibodies. Phase I involved profiled autoimmunity using human proteome microarray (HuProt arrays) with 90 serum samples: 40 patients with SSc, 30 patients diagnosed with autoimmune diseases, and 20 healthy subjects. In Phase II, we constructed a focused array with candidates identified antigens and used this to profile a much larger cohort comprised of serum samples. Finally, we used a western blot analysis to validate the serum of validated proteins with high signal values. Bioinformatics analysis allowed us to identify 113 candidate autoantigens that were significantly associated with SSc. This two-phase strategy allowed us to identify and validate anti-small nuclear ribonucleoprotein polypeptide A (SNRPA) as a novel SSc-specific serological biomarker. The observed positive rate of anti-SNRPA antibody in patients with SSc was 11.25%, which was significantly higher than that of any disease control group (3.33%) or healthy controls (1%). In conclusion, anti-SNRPA autoantibody serves as a novel biomarker for SSc diagnosis and may be promising for clinical applications.
Using secukinumab in a patient with endplate inflammation complicated by hepatitis B virus infection
Rui-Hong Hou, Xiao-Ting Wen, Qian Wang, Li Wang
Chinese Medical Journal, 2021
To the Editor: While being one of the common causes of low back pain (LBP), the pathogenesis, as well as definitive diagnostic criteria and expert treatment recommendations for endplate inflammation remain largely unclear. Clinically, vertebroplasty and local injection of corticosteroids are often used for relieving the pain instead of targeting the cause. Secukinumab is a humanized monoclonal antibody used against interleukin (IL)-17A, which is mainly prescribed to treat patients with psoriatic arthritis or ankylosing spondylitis. We report a patient with severe endplate inflammation complicated by hepatitis B virus (HBV) infection who achieved complete remission using secukinumab. A 36-year-old woman who carried HBV suffered from continuous LBP at rest and in daily activities for 5 years. She had no obvious morning stiffness, rashes, pain in her joints and heels, or a family history of similar diseases. In the past year, the LBP had become worse, and she was unable to bend over due to worse LBP, which affected basic activities such as getting up and turning over. Her visual analog scale (VAS; range: 0–10) score was seven, and her Oswestry Disability Index (ODI; range: 0–50 points) score was 38 points. Physical examination revealed straightening of the lumbar spine curvature, as well as movement restriction. The distance between her fingers and the ground was >40 cm after bending downward. Routine blood, hepatic and renal function tests were normal. Her erythrocyte sedimentation rate (ESR) was 37 mm/1h, and her C-reactive protein level was 3.62 mg/L. She tested positive for hepatitis B surface antibody, as well as antigen, hepatitis B core antibody, and hepatitis B e antibody. The quantitative HBV-DNA level was 48.4 IU/mL. Tuberculosis T cell spot detection (T-SPOT.TB) and HLA-B27 tests were negative. Magnetic resonance imaging (MRI) of the sacroiliac joint showed no obvious abnormity [Figure 1A]. Lumbar imaging results revealed poor vertebral sequence and L3–4 vertebral displacement, hyperostosis, significant bone destruction, and bone marrow edema in the lumbar spine [Figure 1B–F].Figure 1: X-ray, CT, MRI scan, ESR (0–20 mm/h), VAS (range: 0–10) score, and ODI (0–50 points) score. (A) MRI of the sacroiliac joint was normal. (B) Lumbar spine CT shows vertebral edge destruction. (C) Lumbar spine X-ray shows straightening of the lumbar spine curvature, poor alignment, bone hyperplasia in the vertebral body, and L4–5 vertebral space stenosis. (D–F) Lumbar spine MRI shows T12–L5 VESB signal changes, with T1 hypointensity (upper) and T2 hyperintensity (lower). (E) Lumbar spine MRI after 3 months of treatment; (F) Lumbar spine MRI after 6 months of treatment; (E, F) Additional MR examination shows L1–5 VESB changes, with T1 hyperintensity (left) and T2 hypointensity (right). (G) The chart shows the changes in ESR, VAS, and ODI scores before and after treatment. CT: Computed tomography; ESR: Erythrocyte sedimentation rate; MRI: Magnetic resonance imaging; ODI: Oswestry Disability Index; VESB: Vertebral endplate subchondral bone; VAS: Visual analog scale.She was eventually diagnosed with endplate inflammation and prescribed secukinumab 150 mg by subcutaneous injection once a week for 5 weeks. The dosing frequency was subsequently changed to once a month. At the 3- and 6-month follow-up, the LBP symptoms of the patient were relieved, whereas her ESR, VAS, and ODI scores had dropped sharply [Figure 1G]. An additional lumbar MRI showed the disappearance of bone marrow edema from the affected vertebral bodies [Figure 1E and 1F]. HBV-DNA level after 6 months of treatment was 113 IU/mL, which was slightly higher than that at presentation. The doctor of the infectious diseases department suggested that antiviral treatment was not needed for the time being, and HBV-DNA monitoring was continued. Both endplate inflammation and spondyloarthritis (SpA) can cause the symptom of LBP. The onset of most patients with endplate inflammation is related to injury, chondral degeneration, infection, and so on., whereas SpA is a group of genetically related diseases with specific clinical manifestations. Clinically, vertebral MR changes in SpA and signal changes in other causes of vertebral endplate inflammation are not easily distinguished. The patient in our report had LBP but no morning stiffness; HLA-B27 was negative, and MRI of the sacroiliac joint was normal. Despite the vertebral lesion, there was insufficient evidence for the diagnosis of axial spinal arthropathy (axSpA) for the time being. Of course, the possibility of her condition developing into typical axSpA in the future cannot be excluded. The poor alignment of the lumbar spine and instability of the vertebral bodies in this patient may be related to the endplate inflammation. According to present studies, the activation of T helper 17 (Th17) lymphocytes and dendritic cells and the release of cytokines, such as IL-17 and tumor necrosis factor (TNF)-α, play important roles in the pathogenesis of both diseases.[1,2] The increased levels of inflammatory cytokines, such as IL-6, IL-1, IL-17, and TNF-α, in the intervertebral discs of patients with endplate inflammation suggest the significance of the inflammatory response in disease pathogenesis.[2] Among these key cytokines, IL-17 can mediate the migration and activation of immune cells and aggravate the inflammatory response.[3] IL-17 is also known to activate mesenchymal stem cells in the vertebral bodies, promoting new subperiosteal bone formation and the production of bone spurs.[3] IL-17 also promotes the expression of RANKL by osteocytes, which enhances the differentiation of osteoclasts, which are involved in bone destruction.[4] IL-17A is a primary member of the IL-17 family. Secukinumab, a human monoclonal antibody, selectively binds IL-17A and inhibits inflammation, bone destruction, and formation of new bone. However, it remains unclear whether endplate inflammation can be treated by inhibiting the IL-17/Th17 axis. A recent study[2] reported higher IL-17 levels in the peripheral blood and intervertebral discs and significant upregulation of Th17 lymphocytes of patients with endplate inflammation compared with those in healthy controls. These studies provided a theoretical basis for treating endplate inflammation using secukinumab. In this case, the patient's clinical symptoms, laboratory tests, and imaging results improved significantly after 6 months of treatment with secukinumab, and she had achieved nearly complete remission. These results are consistent with previous predictions that IL-17A may play a vital role in endplate inflammation. In addition, IL-17A can activate Kupffer cells and stellate cells in the liver and participate in the development of hepatitis B.[5] Therefore, although the patient's HBV-DNA copy number did not increase significantly during secukinumab treatment, regular long-term testing is still required. The efficacy of secukinumab in the treatment of endplate inflammation and its side effects need to be studied in a larger sample. Declaration of patient consent The authors certify that they have obtained all appropriate patient consent forms. In the form, the patient has given her consent for her images and other clinical information to be reported in the article. The patient understands that her name and initials will not be published and due efforts will be made to conceal the identity of the patient, although anonymity cannot be guaranteed. Acknowledgements Author thanks all the doctors for providing care to this patient. We thank the patient for her cooperation and consent to the publication of this article. Conflicts of interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Hydroxychloroquine prophylaxis for preeclampsia, hypertension and prematurity in pregnant patients with systemic lupus erythematosus: A meta-analysis
Jiaoniu Duan, Dan Ma, Xiaoting Wen, Qianyu Guo, Jinfang Gao, Gailian Zhang, Ke Xu, Liyun Zhang
Lupus, 2021
Objectives This meta-analysis aimed to evaluate the effectiveness of HCQ in improving the maternal and fetal outcomes in pregnancies with SLE. Methods A literature search was conducted using PubMed, MEDLINE, EMBASE, and the Cochrane database for relevant English language articles, and Wanfang, CNKI and VIP for Chinese articles, from the databases’ inception to April 30, 2020. These studies compared the maternal and/or fetal outcomes between pregnant patients with SLE who were administered HCQ during pregnancy (HCQ+ group) and those who were not administered HCQ (HCQ− group). Two investigators extracted the data and assessed the quality using the Newcastle-Ottawa Scale (NOS) and GRADE criteria independently. Odds ratio (OR) and 95% confidence intervals (CIs) were calculated. All statistical analyses were conducted using the Stata 12.0 software. Results Nine studies involving 1132 pregnancies were included in the study (3 case controls, 2 prospective cohorts, 4 retrospective cohorts). Preeclampsia, gestational hypertension, and prematurity were significantly lower in the HCQ+ group than in the HCQ− group (OR 0.35, 95% CI 0.21–0.59), (OR 0.41, 95% CI 0.19–0.89) and (OR 0.55, 95% CI 0.36–0.86), respectively. There were no significant differences in the rates of HELLP Syndrome (OR 0.88, 95% CI 0.19–3.96), gestational diabetes (OR 2.3, 95% CI 0.44–12.12), thrombotic events (OR 0.26, 95% CI 0.05–1.51), spontaneous abortion (OR 1.77, 95% CI 0.96–3.26), premature rupture of membranes (OR 0.58, 95% CI 0.24–1.39), oligohydramnios (OR 0.90, 95% CI 0.38–2.14), live birth (OR 1.22, 95% CI 0.60–2.47), stillbirth (OR 1.00, 95% CI 0.50–2.00), congenital malformation (OR 0.53, 95% CI 0.14–2.04), low birth weight (OR 0.77, 95% CI 0.43–1.39), intrauterine distress (OR 1.07, 95% CI 0.41–2.76,), intrauterine growth restriction (OR 0.57, 95% CI 0.06–5.43), or five-minute APGAR score <7 (OR 0.72, 95% CI 0.20–2.58) between the two groups. Conclusions HCQ treatment during pregnancy could reduce the risk of preeclampsia, pregnancy hypertension and prematurity in SLE patients. The certainty of evidence is high but majority of the studies included are retrospective studies and not randomized controlled trials. Therefore, the multidisciplinary management of pregnant patients with SLE should promote HCQ use, irrespective of disease activity or severity.
Pentraxin 3 is more accurate than C-reactive protein for Takayasu arteritis activity assessment: A systematic review and meta-analysis
Xiaoting Wen, Ruihong Hou, Ke Xu, Yunxia Han, Junping Hu, Yan Zhang, Yazhen Su, Jinfang Gao, Gailian Zhang, Liyun Zhang
Plos One, 2021
Aims Whether the circulating levels of pentraxin 3 (PTX3), an acute phase reactant (APR), are higher in active Takayasu arteritis (TAK), and if so, whether PTX3 is more accurate than C-reactive protein (CRP) in TAK activity assessment has been investigated in this study. Study design Research works such as PubMed, Embase, ScienceDirect, Cochrane Library, and two Chinese literature databases (CNKI and WanFang) were searched for studies conducted till August 30th, 2019. Two investigators searched the studies independently, who evaluated the quality of the study using the Newcastle–Ottawa scale (NOS) and extracted data. Pooled standard mean difference (SMD) and diagnostic indexes, with a 95% confidence interval (CI), were calculated using a random-effect model. Results Totally, 8 studies involving 473 TAK (208 active and 265 inactive TAK) patients and 252 healthy controls were eventually included in the meta-analysis. PTX3 level in the blood in active TAK patients were found to be higher than that in dormant TAK with pooled SMD of 0.761 (95% CI = 0.38–1.14, p<0.0001; I2 = 68%, p of Q test = 0.003). And there was no publication bias. Among the 8 studies, 5 studies identified active TAK with both PTX3 and CRP. The pooled sensitivity, specificity, and AUC values of PTX3 in active TAK diagnosis were higher than those of CRP (0.78 [95% CI = 0.65–0.87] vs. 0.66 [95% CI = 0.53–0.77], p = 0.012; 0.85 [95% CI = 0.77–0.90] vs. 0.77 [95% CI = 0.56–0.90], p = 0.033; 0.88 [95% CI = 0.85–0.90] vs. 0.75 [95% CI = 0.71–0.79], p < 0.0001). It showed potential publication bias using Egger’s test (p of PTX3 = 0.031 and p of CRP = 0.047). Conclusions PTX3 might be better than CRP in the assessment of TAK activity. Yet, it should be cautious before clinical use for moderate heterogeneity and potential publication bias of the meta-analysis.
Identification of novel serological autoantibodies in takayasu arteritis patients using huprot arrays
Xiaoting Wen, Guang Song, Chaojun Hu, Jianbo Pan, Ziyan Wu, Liubing Li, Chenxi Liu, Xinping Tian, Fengchun Zhang, Jiang Qian, Heng Zhu, Yongzhe Li
Molecular and Cellular Proteomics, 2021
To identify novel autoantibodies of Takayasu arteritis (TAK) using HuProt array-based approach, a two-phase approach was adopted. In Phase I, serum samples collected from 40 TAK patients, 15 autoimmune disease patients, and 20 healthy subjects were screened to identify TAK-specific autoantibodies using human protein (HuProt) arrays. In phase II, the identified candidate autoantibodies were validated with TAK-focused arrays using an additional cohort comprised of 109 TAK patients, 110 autoimmune disease patients, and 96 healthy subjects. Subsequently, the TAK-specific autoantibodies validated in phase II were further confirmed using western blot analysis. We identified and validated eight autoantibodies as potential TAK-specific diagnostic biomarkers, including anti-SPATA7, -QDPR, -SLC25A2, -PRH2, -DIXDC1, -IL17RB, -ZFAND4, and -NOLC1 antibodies, with AUC of 0.803, 0.801, 0.780, 0.696, 0.695, 0.678, 0.635, and 0.613, respectively. SPATA7 could distinguish TAK from healthy and disease controls with 73.4% sensitivity at 85.4% specificity, while QDPR showed 71.6% sensitivity at 86.4% specificity. SLC25A22 showed the highest sensitivity of 80.7%, but at lower specificity of 67.0%. In addition, PRH2, IL17RB, and NOLC1 showed good specificities of 88.3%, 85.9%, and 86.9%, respectively, but at lower sensitivities (<50%). Finally, DIXDC1 and ZFAND4 showed moderate performance as compared with the other autoantibodies. Using a decision tree model, we could reach a specificity of 94.2% with AUC of 0.843, a significantly improved performance as compared with that by each individual biomarker. The performances of three autoantibodies, namely anti-SPATA7, -QDPR, and -PRH2, were successfully confirmed with western blot analysis. Using this two-phase strategy, we identified and validated eight novel autoantibodies as TAK-specific biomarker candidates, three of which could be readily adopted in a clinical setting.
Analysis of myositis autoantibodies in Chinese patients with cancer-associated myositis
Liubing Li, Chenxi Liu, Qian Wang, Chanyuan Wu, Yanfang Zhang, Linlin Cheng, Xiaoting Wen, Xiaofeng Zeng, Fengchun Zhang, Yongzhe Li
Journal of Clinical Laboratory Analysis, 2020
Background Cancer‐associated myositis (CAM) has poor prognosis and causes higher mortality. In general, myositis‐specific autoantibodies (MSAs) and myositis‐associated autoantibodies (MAAs) have been shown to be useful biomarkers for its diagnosis. Methods In the present study, focus was given in assessing the presence, prevalence, and diagnostic values of myositis autoantibodies in Chinese patients diagnosed with CAM. The sera collected from 49 CAM patients, 108 dermatomyositis/polymyositis (DM/PM) patients without cancer, 105 disease controls, and 60 healthy controls were detected for the presence of 16 autoantigens (Jo‐1, OJ, EJ, PL‐7, PL‐12, MDA5, TIF1γ, Mi‐2α, Mi‐2β, SAE1, NXP2, SRP, Ku, PM‐Scl75, PM‐Scl100, and Ro‐52) using a commercial Euroline assay. Results The frequency of anti‐TIF1γ was significantly higher in CAM patients than in DM/PM patients without cancer (46.9% vs 14.8%, P < .001). Importantly, the sensitivity and specificity for this MSA were 46.9% and 85.2%, respectively. These helped to differentiate CAM patients from DM/PM patients without cancer. However, there was no difference in other MSAs and MAAs between CAM and DM/PM patients without cancer. Conclusion The present study indicates that anti‐TIF1γ levels can serve as important biomarkers for CAM diagnosis and help in distinguishing between CAM and DM/PM patients without cancer.
NAF1 rs4691896 is significantly associated with coal workers' pneumoconiosis in a chinese han population: A case-control study
Baojun Yuan, Xiaoting Wen, Liubing Li, Yongzhe Li, Chao Li, Baolin Li, Wei Yuan, Liufu Cui
Medical Science Monitor, 2020
BACKGROUND Previous studies have demonstrated the important role of genetic predisposition in coal workers' pneumoconiosis (CWP) in addition to environmental factors. The pathogenesis of pulmonary fibrosis disease is related to telomere activity. We performed this study to assess the association between genetic variants of telomere-related genes and the risk of CWP. MATERIAL AND METHODS We enrolled 652 CWP Chinese Han patients and 648 dust-exposed controls in this case-control design study, genotyping 8 single-nucleotide polymorphisms (SNPs) including TERT (rs2736100), TERC (rs10936599 and rs12696304), and NAF1 (rs7675998, rs3822304, rs12331717, rs936562 and rs4691896) using the Sequenom MassARRAY system. RESULTS We identified a significant allele association between NAF1 rs4691896 and CWP by comparing patients with controls (22.0% vs. 13.0%, odds ratio [OR]: 1.89, 95% confidence interval [CI]: 1.54-2.33, Pc=1.14×10⁻⁸). The genotype frequency of rs4691896 differed significantly between the patients and controls (Pc=1.49×10⁻⁸). In addition, rs4691896 was correlated with CWP in an additive genetic model (OR: 1.96, 95% CI: 1.58-2.44, Pc=8.96×10⁻⁹) and a dominant model (OR: 2.15, 95% CI: 1.70-2.73, Pc=2.39×10⁻⁹). CONCLUSIONS Our study for the first time demonstrates an association between a telomere-related gene (NAF1) and CWP in a Chinese Han population, and provides valuable insight to further understand the possible pathogenetic mechanism of fibrosis in CWP.
Evaluation of a commercial immunoassay for autoantibodies in Chinese Han systemic sclerosis population
Chenxi Liu, Yong Hou, Yajun Yang, Dong Xu, Liubing Li, Jing Li, Xiaoting Wen, Xiaofeng Zeng, Fengchun Zhang, Yongzhe Li
Clinica Chimica Acta, 2019
Association between the BANK1 rs3733197 polymorphism and polymyositis/dermatomyositis in a Chinese Han population
Si Chen, Xiaoting Wen, Qian Wang, Jing Li, Yuan Li, Liubing Li, Hui Yuan, Fengchun Zhang, Yongzhe Li
Clinical Rheumatology, 2019
Association of single nucleotide polymorphisms in the CYBA gene with coal workers’ pneumoconiosis in the Han Chinese population
Baojun Yuan, Wei Yuan, Xiaoting Wen, Chao Li, Lichang Gao, Baolin Li, Dongmei Wang, Liufu Cui, Yongzhe Li
Inhalation Toxicology, 2018
Association between genetic variants in the human leukocyte antigen-B/MICA and Takayasu arteritis in Chinese Han population
Xiaoting Wen, Si Chen, Jing Li, Yuan Li, Liubing Li, Ziyan Wu, Hui Yuan, Xinping Tian, Fengchun Zhang, Yongzhe Li
International Journal of Rheumatic Diseases, 2018
Single nucleotide polymorphisms in the ETS1 gene are associated with idiopathic inflammatory myopathies in a northern Chinese Han population
Si Chen, Xiaoting Wen, Liubing Li, Jing Li, Yuan Li, Qian Wang, Hui Yuan, Fengchun Zhang, Yongzhe Li
Scientific Reports, 2017
Adult reference intervals for IgG subclasses with Siemens immunonephelometric assays in Chinese population
Ping Li, Zhongjuan Liu, Ziyan Wu, Xiaoting Wen, Liubing Li, Shulan Zhang, Yingchun Xu, Yongzhe Li
Allergy Asthma and Clinical Immunology, 2017
Upregulation of CD16− monocyte subsets in systemic lupus erythematous patients
Ziyan Wu, Shulan Zhang, Lidan Zhao, Yunyun Fei, Li Wang, Jing Li, Xiaoting Wen, Xiaofeng Zeng, Fengchun Zhang, Yongzhe Li
Clinical Rheumatology, 2017
Risk alleles for IgA nephropathy-associated SNPs conferred completely opposite effects to idiopathic membranous nephropathy in Chinese Han
Xiaosong Qin, Chen Wang, Guanting Lu, Mengle Peng, Guixue Cheng, Hongquan Zhu, Yun Cao, Jianhua Liu, Yuzhong Li, Hong Cai, Funing Yang, Yanhong Liu, Xiaoyu Chen, Liubing Li, Nan Wan, Xiaoting Wen, Shijun Li, Ruili Nie, Dongchun Qin, Yongzhe Li, Yong Liu
Immunologic Research, 2017
GLIS3 and TYK2 Single Nucleotide Polymorphisms Are Not Associated with Dermatomyositis/Polymyositis in Chinese Han Population
Liubing Li, Si Chen, Qian Wang, Chanyuan Wu, Xiaoting Wen, Funing Yang, Chenxi Liu, Fengchun Zhang, Yongzhe Li
Genetic Testing and Molecular Biomarkers, 2017
Peripheral differentials by Cytodiff flow cytometric system predict disease activity in Chinese patients with inflammatory bowel disease
Shulan Zhang, Ziyan Wu, Ji Li, Xiaoting Wen, Liubing Li, Chenxi Liu, Fengchun Zhang, Jiaming Qian, Yongzhe Li
Clinica Chimica Acta, 2017
Single nucleotide polymorphisms of IL12B are associated with Takayasu arteritis in Chinese Han population
Xiaoting Wen, Si Chen, Ping Li, Jing Li, Ziyan Wu, Yuan Li, Liubing Li, Hui Yuan, Xinping Tian, Fengchun Zhang, Yongzhe Li
Rheumatology International, 2017
Clinical performance of antibodies to prothrombin and thrombin in Chinese patients with antiphospholipid syndrome: potential interest in discriminating patients with thrombotic events and non-thrombotic events
Shulan Zhang, Ziyan Wu, Jing Li, Ping Li, Si Chen, Xiaoting Wen, Liubing Li, Wen Zhang, Jiuliang Zhao, Fengchun Zhang, Yongzhe Li
Rheumatology International, 2017
Evaluation of the clinical relevance of anti-annexin-A5 antibodies in Chinese patients with antiphospholipid syndrome
Shulan Zhang, Ziyan Wu, Jing Li, Xiaoting Wen, Liubing Li, Wen Zhang, Jiuliang Zhao, Fengchun Zhang, Yongzhe Li
Clinical Rheumatology, 2017
Identification of novel biomarkers for behcet disease diagnosis using human proteome microarray approach
Chao-Jun Hu, Jian-Bo Pan, Guang Song, Xiao-Ting Wen, Zi-Yan Wu, Si Chen, Wen-Xiu Mo, Feng-Chun Zhang, Jiang Qian, Heng Zhu, Yong-Zhe Li
Molecular and Cellular Proteomics, 2017
Anti-MDA5 antibody as a potential diagnostic and prognostic biomarker in patients with dermatomyositis
Liubing Li, Qian Wang, Funing Yang, Chanyuan Wu, Si Chen, Xiaoting Wen, Chenxi Liu, Yongzhe Li
Oncotarget, 2017
Assessment of anti-MDA5 antibody as a diagnostic biomarker in patients with dermatomyositis-associated interstitial lung disease or rapidly progressive interstitial lung disease
Liubing Li, Qian Wang, Xiaoting Wen, Chenxi Liu, Chanyuan Wu, Funing Yang, Xiaofeng Zeng, Yongzhe Li
Oncotarget, 2017
Positive association between ankrd55 polymorphism 7731626 and dermatomyositis/polymyositis with interstitial lung disease in Chinese han population
Liubing Li, Si Chen, Xiaoting Wen, Qian Wang, Guanting Lv, Jing Li, Funing Yang, Fengchun Zhang, Yongzhe Li
Biomed Research International, 2017
Association of FCGR2A/FCGR3A variant rs2099684 with Takayasu arteritis in the Han Chinese population
Si Chen, Xiaoting Wen, Jing Li, Yuan Li, Liubing Li, Xinping Tian, Hui Yuan, Fengchun Zhang, Yongzhe Li
Oncotarget, 2017
Association study of a proliferation-inducing ligand, spermatogenesis associated 8, platelet-derived growth factor receptor-alpha, and POLB polymorphisms with systemic lupus erythematosus in Chinese han population
Ping Li, Yuan Li, Ai-Hong Zhou, Si Chen, Jing Li, Xiao-Ting Wen, Zi-Yan Wu, Liu-Bing Li, Feng-Chun Zhang, Yong-Zhe Li
Chinese Medical Journal, 2016
Association of MCP-1-2518A/G polymorphism with susceptibility to autoimmune diseases: a meta-analysis
Si Chen, Chuiwen Deng, Chaojun Hu, Jing Li, Xiaoting Wen, Ziyan Wu, Yuan Li, Fengchun Zhang, Yongzhe Li
Clinical Rheumatology, 2016
Evaluation of the diagnostic potential of antibodies to beta2-glycoprotein 1 domain 1 in Chinese patients with antiphospholipid syndrome
Shulan Zhang, Ziyan Wu, Si Chen, Jing Li, Xiaoting Wen, Liubing Li, Wen Zhang, Jiuliang Zhao, Fengchun Zhang, Yongzhe Li
Scientific Reports, 2016
A rare nonsynonymous variant in the lipid metabolic gene HELZ2 related to primary biliary cirrhosis in Chinese Han
Ping Li, Guanting Lu, Li Wang, Ying Cui, Ziyan Wu, Si Chen, Jing Li, Xiaoting Wen, Haoze Zhang, Shijie Mu, Fengchun Zhang, Yongzhe Li
Allergy Asthma and Clinical Immunology, 2016
Single-nucleotide polymorphisms in the PLA2R1 gene are associated with systemic lupus erythematosus and lupus nephritis in a Chinese Han population
Yuan Li, Aihong Zhou, Guanting Lv, Ping Li, Si Chen, Jing Li, Xiaoting Wen, Ziyan Wu, Shulan Zhang, Jibo Wang, Fengchun Zhang, Yongzhe Li
Immunologic Research, 2016
Association of IL12A expression quantitative trait loci (eQTL) with primary biliary cirrhosis in a Chinese Han population
Ping Li, Guanting Lu, Ying Cui, Ziyan Wu, Si Chen, Jing Li, Xiaoting Wen, Haoze Zhang, Shijie Mu, Fengchun Zhang, Yongzhe Li
Medicine United States, 2016
The associations between PD-1, CTLA-4 gene polymorphisms and susceptibility to ankylosing spondylitis: a meta-analysis and systemic review
Si Chen, Yuan Li, Chuiwen Deng, Jing Li, Xiaoting Wen, Ziyan Wu, Chaojun Hu, Shulan Zhang, Ping Li, Xuan Zhang, Fengchun Zhang, Yongzhe Li
Rheumatology International, 2016
Association between MEFV mutations M694V and M680I and Behçet's disease: A meta-analysis
Ziyan Wu, Shulan Zhang, Jing Li, Si Chen, Ping Li, Fei Sun, Xiaoting Wen, Wenjie Zheng, Fengchun Zhang, Yongzhe Li
Plos One, 2015
Histopathological diagnostic value of the IgG4 +/IgG + ratio of plasmacytic infiltration for IgG4-related diseases
Chuiwen Deng, Wenli Li, Si Chen, Wen Zhang, Jing Li, Chaojun Hu, Xiaoting Wen, Fengchun Zhang, Yongzhe Li
Medicine United States, 2015
Meta-analysis of anti-muscarinic receptor type 3 antibodies for the diagnosis of Sjögren syndrome
Chuiwen Deng, Chaojun Hu, Si Chen, Jing Li, Xiaoting Wen, Ziyan Wu, Yuan Li, Fengchun Zhang, Yongzhe Li
Plos One, 2015

RECENT SCHOLAR PUBLICATIONS

Analysis of Rice Ageing Process Using Fuzzy and Graph Cut
B Nigam, A Sharma, B Basavaprasad, M Niranjanamurthy
Journal of Computational and Theoretical Nanoscience 17 (9-10), 4394-4397 , 2020
2020
Technology in Indian Agriculture - A Review
BB R S Upendra, I M Umesh, R B Ravi Varma
Indonesian Journal of Electrical Engineering and Computer Science 20 (3) , 2020
2020
Citations: 37
Integrated College Management System (ICMS): A Friendly and Easy Approach
B B
International Journal of Research and Analytical Reviews (IJRAR) , 2020
2020
NAAC MADE EASY: A Simple and Easy Preparation
B B
International Journal of Emerging Technologies and Innovative Research , 2020
2020
Technology in Indian Agriculture – A Review
B B
Indonesian Journal of Electrical engineering and Computer Science , 2020
2020
A Hybrid Technique of Image Segmentation using Enhanced Graph Based Mechanism
B B
Science, Technology and Development Journal , 2020
2020
Improved Bat Algorithm using Super-Region Volume Segmentation for Medical Images
BB Bhawna Nigam, Ramakrishnan M R
International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
2019
Enhanced bat algorithm with super-region volume segmentation workbench for Markov random field images
B Basavaprasad, RS Hegadi
Journal of Computational and Theoretical Nanoscience 15 (5), 1434-1440 , 2018
2018
Citations: 1
Graph theory and its application to image segmentation
B Basavaprasad, RS Hegadi
2017 International Conference on Energy, Communication, Data Analytics and … , 2017
2017
Citations: 7
A Comparative Analysis of Graph Based Techniques with Hybrid Method for Image Segementation
RSH Basavaprasad B
Journal of Advanced Research in Dynamical & Control Systems, 135-142 , 2017
2017
Image Segmentation using MSNCut Algorithm
B Basavaprasad
International Journal of Computer Applications 162 (3), 27-30 , 2017
2017
Citations: 2
Year of Publication: 2017
B Basavaprasad, RS Hegadi
2017
A comparative study on segmentation methods for medical imaging
M Ravi, B Basavaprasad
Proceeding of NCRIET & Indian J. Sci. Res 12 (1), 302-306 , 2015
2015
Citations: 2
Recognition of printed Kannada numerals by nearest neighbor method
S Shettar, B Basavaprasad, HK Bhagya
Proceedings of the International Conference on Computational Systems for … , 2015
2015
Citations: 3
Color image segmentation using adaptive Growcut method
B Basavaprasad, RS Hegadi
Procedia Computer Science 45, 328-335 , 2015
2015
Citations: 15
Enhanced Color Image Segmentation by Graph Cut Method in General and Medical Images
B Basavaprasad, M Ravi
Advancements of Medical Electronics, 75-84 , 2015
2015
Citations: 3
A study on the importance of image processing and its applications
B Basavaprasad, M Ravi
IJRET: International Journal of Research in Engineering and Technology 3 (1) , 2014
2014
Citations: 82
A comparative study on classification of image segmentation methods with a focus on graph based techniques
B Basavaprasad, M Ravi
IJRET: International Journal of Research in Engineering and Technology 3 , 2014
2014
Citations: 36
A graph theoretical network model on human heart
B Basavaprasad, RS Hegadi
International Journal of Applied Engineering Research 9 (20), 4549-4553 , 2014
2014
Citations: 4
An Improved GrabCut Technique for segmentation of Color Images
B Basavaprasad, RS Hegadi
Recent Advances in Information Technology, an International Journal of … , 2014
2014
Citations: 9

MOST CITED SCHOLAR PUBLICATIONS

A study on the importance of image processing and its applications
B Basavaprasad, M Ravi
IJRET: International Journal of Research in Engineering and Technology 3 (1) , 2014
2014
Citations: 82
A Survey on Traditional and Graph Theoretical Techniques for Image Segmentation‖
B Basavaprasad, SH Ravindra
Recent Advances in Information Technology, International Journal of Computer … , 2014
2014
Citations: 44
Technology in Indian Agriculture - A Review
BB R S Upendra, I M Umesh, R B Ravi Varma
Indonesian Journal of Electrical Engineering and Computer Science 20 (3) , 2020
2020
Citations: 37
A comparative study on classification of image segmentation methods with a focus on graph based techniques
B Basavaprasad, M Ravi
IJRET: International Journal of Research in Engineering and Technology 3 , 2014
2014
Citations: 36
Graph theoretical approaches for image segmentation
B Basavaprasad, RS Hegadi
Avishkar-Solapur University Research Journal 2, 7-13 , 2012
2012
Citations: 20
Color image segmentation using adaptive Growcut method
B Basavaprasad, RS Hegadi
Procedia Computer Science 45, 328-335 , 2015
2015
Citations: 15
An Improved GrabCut Technique for segmentation of Color Images
B Basavaprasad, RS Hegadi
Recent Advances in Information Technology, an International Journal of … , 2014
2014
Citations: 9
Graph theory and its application to image segmentation
B Basavaprasad, RS Hegadi
2017 International Conference on Energy, Communication, Data Analytics and … , 2017
2017
Citations: 7
A graph theoretical network model on human heart
B Basavaprasad, RS Hegadi
International Journal of Applied Engineering Research 9 (20), 4549-4553 , 2014
2014
Citations: 4
Recognition of printed Kannada numerals by nearest neighbor method
S Shettar, B Basavaprasad, HK Bhagya
Proceedings of the International Conference on Computational Systems for … , 2015
2015
Citations: 3
Enhanced Color Image Segmentation by Graph Cut Method in General and Medical Images
B Basavaprasad, M Ravi
Advancements of Medical Electronics, 75-84 , 2015
2015
Citations: 3
Image Segmentation using MSNCut Algorithm
B Basavaprasad
International Journal of Computer Applications 162 (3), 27-30 , 2017
2017
Citations: 2
A comparative study on segmentation methods for medical imaging
M Ravi, B Basavaprasad
Proceeding of NCRIET & Indian J. Sci. Res 12 (1), 302-306 , 2015
2015
Citations: 2
Enhanced bat algorithm with super-region volume segmentation workbench for Markov random field images
B Basavaprasad, RS Hegadi
Journal of Computational and Theoretical Nanoscience 15 (5), 1434-1440 , 2018
2018
Citations: 1
Analysis of Rice Ageing Process Using Fuzzy and Graph Cut
B Nigam, A Sharma, B Basavaprasad, M Niranjanamurthy
Journal of Computational and Theoretical Nanoscience 17 (9-10), 4394-4397 , 2020
2020
Integrated College Management System (ICMS): A Friendly and Easy Approach
B B
International Journal of Research and Analytical Reviews (IJRAR) , 2020
2020
NAAC MADE EASY: A Simple and Easy Preparation
B B
International Journal of Emerging Technologies and Innovative Research , 2020
2020
Technology in Indian Agriculture – A Review
B B
Indonesian Journal of Electrical engineering and Computer Science , 2020
2020
A Hybrid Technique of Image Segmentation using Enhanced Graph Based Mechanism
B B
Science, Technology and Development Journal , 2020
2020
Improved Bat Algorithm using Super-Region Volume Segmentation for Medical Images
BB Bhawna Nigam, Ramakrishnan M R
International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
2019

Publications

I. Quantitative Metrics (Overview)

Total National/International Publications: ~40+

Scopus Indexed Publications: 8+

Total Citations: 250+ (Google Scholar)

h-index: 7 (Google Scholar) | 3 (Scopus)

i10-index: 6

Books Published: 1 (DSC 3D Design and Analysis of Algorithms)

II. Key Journal & Conference Publications

Dr. Basavaprasad’s research primarily investigates Graph-Theoretical Approaches for complex image segmentation and network modeling.

Major Research Areas & Selected Papers

Digital Image Processing & Graph Theory

“A Survey on Traditional and Graph Theoretical Techniques for Image Segmentation” – International Journal of Computer Applications.

“Color image segmentation using adaptive GrowCut method” – Procedia Computer Science (Elsevier).

“Image Segmentation using MSNCut Algorithm” – International Journal of Computer Applications.

Bio-Medical Image Analysis

... (Previous entries maintained) ...

Agriculture & Emerging Tech

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

One software for government, two patents ,one product under development

CONSULTANCY

He provides expert consultancy in Technical Advisory (E-Governance), Digital Transformation (NEP 2020), and Agri-Tech Strategy for local farming cooperatives.

Industry, Institute, or Organisation Collaboration

Dr. Basavaprasad B bridges academia, government, and global sustainability organizations through several high-impact leadership roles:

Government & Academic Coordination: RUSA Coordinator and EBSB District Coordinator.

Global Sustainability: Green Earth Indian Ambassador for Sustainable Cosmos (UN-affiliated).

Institutional Partnerships: UAS Raichur & RTPS collaboration for industrial exposure.

Digital Governance Architect: Designer of the RichRaichur and JaNoNi platforms.

INDUSTRY EXPERIENCE

collaborative experience of 5 years

STARTUP

Social: Empowering citizens through the JaNoNi platform for transparent grievance redressal and promoting environmental conservation via Green Earth paperless workflows. His startup initiative ensures that digital services reach the last mile, reducing rural-urban inequality.

Economic: Driving regional prosperity by linking local IT Hubs with industry and improving agricultural yields through tech-driven crop analysis. The startup framework creates local employment and reduces "brain drain" from the Raichur district.

Academic: Facilitating the transition to NEP 2020 frameworks and providing a theoretical foundation in Graph Theory for future medical and computational researchers. It provides a real-world "Living Lab" for students to practice software development and data science.

SOCIAL, ECONOMIC, or ACADEMIC BENEFITS

Social: Empowering citizens through the JaNoNi platform for transparent grievance redressal and promoting environmental conservation via Green Earth paperless workflows. His startup initiative ensures that digital services reach the last mile, reducing rural-urban inequality.

Economic: Driving regional prosperity by linking local IT Hubs with industry and improving agricultural yields through tech-driven crop analysis. The startup framework creates local employment and reduces "brain drain" from the Raichur district.

Academic: Facilitating the transition to NEP 2020 frameworks and providing a theoretical foundation in Graph Theory for future medical and computational researchers. It provides a real-world "Living Lab" for students to practice software development and data science.