Zobrazeno 1 - 10
of 665
pro vyhledávání: '"Sudeep D"'
Autor:
Smita Khairnar, Shilpa Gite, Kashish Mahajan, Biswajeet Pradhan, Abdullah Alamri, Sudeep D. Thepade
Publikováno v:
IEEE Access, Vol 12, Pp 153580-153595 (2024)
Liveness face detection is essential for modern biometric systems, ensuring that input data is genuine and not derived from a false image or video. Liveness face detection in today’s biometric systems will ensure that input comes from a real, live
Externí odkaz:
https://doaj.org/article/a11d670f7a2149b49c1f15f06f078e60
Publikováno v:
Journal of Genetic Engineering and Biotechnology, Vol 21, Iss 1, Pp 1-14 (2023)
Abstract Purpose It is important to comprehend how the molecular mechanisms shift when gastric cancer in its early stages (GC). We employed integrative bioinformatics approaches to locate various biological signalling pathways and molecular fingerpri
Externí odkaz:
https://doaj.org/article/e4a6f1681a564c0982c7e0bc2aa0238b
Autor:
Sudeep D. Sunthankar, Kristen George-Durrett, Kimberly Crum, James C. Slaughter, Jennifer Kasten, Frank J. Raucci, Larry W. Markham, Jonathan H. Soslow
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 25, Iss 1, Pp 1-14 (2023)
Abstract Background Cardiomyopathy is the leading cause of death in Duchenne muscular dystrophy (DMD). Cardiac magnetic resonance (CMR) parametric mapping sequences offer insights into disease pathophysiology. We propose a novel approach by leveragin
Externí odkaz:
https://doaj.org/article/f4c58aad1c17402a9aa553dad6e076ec
Autor:
Sandra D. Kikano, Angela Weingarten, Sudeep D. Sunthankar, William McEachern, Kristen George-Durett, David A. Parra, Jonathan H. Soslow, Joshua D. Chew
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 25, Iss 1, Pp 1-12 (2023)
Abstract Background Patients with repaired Tetralogy of Fallot (rTOF) experience a high burden of long-term morbidity, particularly arrhythmias. Cardiovascular magnetic resonance (CMR) is routinely used to assess ventricular characteristics but the r
Externí odkaz:
https://doaj.org/article/cd2bf2cc8c134f22bd2a49bc1cd1c5e7
Autor:
Sudeep D. Sunthankar, Prince J. Kannankeril, Andrea Gaedigk, Andrew E. Radbill, Frank A. Fish, Sara L. Van Driest
Publikováno v:
Clinical and Translational Science, Vol 15, Iss 7, Pp 1787-1795 (2022)
Abstract Propafenone is an antiarrhythmic drug metabolized primarily by cytochrome P450 2D6 (CYP2D6). In adults, propafenone adverse events (AEs) are associated with CYP2D6 poor metabolizer status; however, pediatric data are lacking. Subjects were t
Externí odkaz:
https://doaj.org/article/6026c7e303044f3babf4a37c9394b561
Autor:
Sudeep D Thepade, Abhijeet Bhushari
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 22, Iss 1 (2023)
Histopathology is the study of disease-affected tissues, and it is particularly helpful in diagnosis and figuring out how severe and rapidly a disease is spreading. It also demonstrates how to recognize a variety of human tissues and analyze the alte
Externí odkaz:
https://doaj.org/article/d7a8f431a8c84685b0856ffb67ec8656
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 22, Iss 1 (2023)
Color Visual Secret Sharing (VSS) is an essential form of VSS. It is so because nowadays, most people like to share visual data as a color image. There are color VSS schemes capable of dealing with halftone color images or color images with selected
Externí odkaz:
https://doaj.org/article/c28aed8c4986492093c40f7fdbd5fc99
Autor:
Sudeep D. Thepade, Jovian A. Jaison
Publikováno v:
Intelligent Systems with Applications, Vol 16, Iss , Pp 200108- (2022)
In today's age, massive image data is generated rapidly. This influx has made labeling images tedious and, in turn, made it harder to retrieve images through searching algorithms that rely only on labels, keywords, or other meta-data in the images. M
Externí odkaz:
https://doaj.org/article/83f870e5a2a647fa94cf82a9848c64c4
Publikováno v:
Intelligent Systems with Applications, Vol 16, Iss , Pp 200107- (2022)
Advancement in deep learning is mapping to every field of life and applying it to almost all research problems. Numerous Deep Convolutional Neural Network (DCNN) architectures are being proposed, giving different results based on the depth and value
Externí odkaz:
https://doaj.org/article/687778d442754d218e449013646ee850
Autor:
Yu-Pei Chen, Chia-Fang Tsai, P. D. Rekha, Sudeep D. Ghate, Hsi-Yuan Huang, Yi-Han Hsu, Li-Ling Liaw, Chiu-Chung Young
Publikováno v:
Botanical Studies, Vol 62, Iss 1, Pp 1-13 (2021)
Abstract Background The soil quality and health of the tea plantations are dependent on agriculture management practices, and long-term chemical fertilizer use is implicated in soil decline. Hence, several sustainable practices are used to improve an
Externí odkaz:
https://doaj.org/article/aa9495ca4621483c93d2caac240f4565