Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning

Autor: Mahati Munikoti Srikantamurthy, V. P. Subramanyam Rallabandi, Dawood Babu Dudekula, Sathishkumar Natarajan, Junhyung Park

Publikováno v: BMC Medical Imaging, Vol 23, Iss 1, Pp 1-15 (2023)

Abstract Background Grading of cancer histopathology slides requires more pathologists and expert clinicians as well as it is time consuming to look manually into whole-slide images. Hence, an automated classification of histopathological breast canc

Externí odkaz: https://doaj.org/article/65f199c9b10a4e5b9f73dfc2958a618b

Identification of Potential Cytochrome P450 3A5 Inhibitors: An Extensive Virtual Screening through Molecular Docking, Negative Image-Based Screening, Machine Learning and Molecular Dynamics Simulation Studies

Autor: Md Ataul Islam, Dawood Babu Dudekula, V. P. Subramanyam Rallabandi, Sridhar Srinivasan, Sathishkumar Natarajan, Hoyong Chung, Junhyung Park

Publikováno v: International Journal of Molecular Sciences, Vol 23, Iss 16, p 9374 (2022)

Cytochrome P450 3A5 (CYP3A5) is one of the crucial CYP family members and has already proven to be an important drug target for cardiovascular diseases. In the current study, the PubChem database was screened through molecular docking and high-affini

Externí odkaz: https://doaj.org/article/3a1064edbfb44774803e8ab376c2c948

Screening of β1- and β2-Adrenergic Receptor Modulators through Advanced Pharmacoinformatics and Machine Learning Approaches

Autor: Ataul Islam, V. P. Subramanyam Rallabandi, Sathishkumar Natarajan, Sameer Mohammed, Sridhar Srinivasan, Junhyung Park, Dawood Babu Dudekula

Publikováno v: International Journal of Molecular Sciences
Volume 22
Issue 20
International Journal of Molecular Sciences, Vol 22, Iss 11191, p 11191 (2021)

Cardiovascular diseases (CDs) are a major concern in the human race and one of the leading causes of death worldwide. β-Adrenergic receptors (β1-AR and β2-AR) play a crucial role in the overall regulation of cardiac function. In the present study,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6feda9a88f4fc49f8e193a4ddbfb7325

Class Imbalance ML Methods for Classification of Dementia Stage: Kurtosis Fractional Anisotropy: ML-based classification of dementia stage (paper subtitle)

Autor: V. P. Subramanyam Rallabandi, Krishnamoorthy Seetharaman

Publikováno v: 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS).

The aim of this work is to classify the dementia stage using microstructural white matter (WM) diffusion kurtosis indices. We develop various class imbalance machine learning methods in classifying the cognitive normals (CN), Alzheimer's disease (AD)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::25788fe84f7c237b33b8f82bbbebdd47
https://doi.org/10.1109/iciccs51141.2021.9432112

Age-Related Differences in White Matter Integrity in Healthy Human Brain: Evidence from Structural MRI and Diffusion Tensor Imaging

Autor: Prasun Kumar Roy, Rishu Rathee, V. P. Subramanyam Rallabandi

Publikováno v: Magnetic Resonance Insights, Vol 2016, Iss 9, Pp 9-20 (2016)
Magnetic Resonance Insights, Vol 9 (2016)
Magnetic Resonance Insights

The aim is to investigate the relationship between microstructural white matter (WM) diffusivity indices and macrostructural WM volume (WMV) among healthy individuals (20–85 years). Whole-brain diffusion measures were calculated from diffusion tens

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72f7554a2e1a2b6fec681002c575be9a
http://www.la-press.com/age-related-differences-in-white-matter-integrity-in-healthy-human-bra-article-a5677