Local Preserving Class Separation Framework to Identify Gestational Diabetes Mellitus Mother Using Ultrasound Fetal Cardiac Image

Autor: Anjan Gudigar, Jyothi Samanth, U. Raghavendra, Chinmay Dharmik, Akhila Vasudeva, R. Padmakumar, Ru-San Tan, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya

Publikováno v: IEEE Access, Vol 8, Pp 229043-229051 (2020)

In the presence of gestational diabetes mellitus (GDM), the fetus is exposed to a hyperinsulinemia environment. This environment can cause a wide range of metabolic and fetal cardiac structural alterations. Fetal myocardial hypertrophy predominantly

Externí odkaz: https://doaj.org/article/17f6107579da4d12813c447e08b4a22d

Role of Artificial Intelligence in COVID-19 Detection

Autor: Anjan Gudigar, U Raghavendra, Sneha Nayak, Chui Ping Ooi, Wai Yee Chan, Mokshagna Rohit Gangavarapu, Chinmay Dharmik, Jyothi Samanth, Nahrizul Adib Kadri, Khairunnisa Hasikin, Prabal Datta Barua, Subrata Chakraborty, Edward J. Ciaccio, U. Rajendra Acharya

Publikováno v: Sensors, Vol 21, Iss 23, p 8045 (2021)

The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and affected the livelihood of many more people. Early and rapid detection of COVID-19 is a challenging task for the medical community, but it is also crucial in stop

Externí odkaz: https://doaj.org/article/75449be147a549a881ddc315da0f9d48

Role of Artificial Intelligence in COVID-19 Detection

Autor: Khairunnisa Hasikin, Anjan Gudigar, U. Rajendra Acharya, Chui Ping Ooi, Prabal Datta Barua, Chinmay Dharmik, Edward J. Ciaccio, U. Raghavendra, Sneha Nayak, Jyothi Samanth, Mokshagna Rohit Gangavarapu, Nahrizul Adib Kadri, Wai Yee Chan, Subrata Chakraborty

Publikováno v: Sensors, Vol 21, Iss 8045, p 8045 (2021)
Sensors (Basel, Switzerland)

The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and affected the livelihood of many more people. Early and rapid detection of COVID-19 is a challenging task for the medical community, but it is also crucial in stop

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edd37f32aeff42184234bede577f12d8
https://doi.org/10.3390/s21238045

Role of Artificial Intelligence in COVID-19 Detection.

Autor: Gudigar, Anjan¹ (AUTHOR) anjan.gudigar@manipal.edu, Raghavendra, U¹ (AUTHOR) raghavendra.u@manipal.edu, Nayak, Sneha¹ (AUTHOR) rohit4gm@gmail.com, Ooi, Chui Ping² (AUTHOR) cpooi@suss.edu.sg, Chan, Wai Yee³ (AUTHOR) waiyeec@ummc.edu.my, Gangavarapu, Mokshagna Rohit¹ (AUTHOR) chinmaydharmik@gmail.com, Dharmik, Chinmay¹ (AUTHOR), Samanth, Jyothi⁴ (AUTHOR) samanth.jyothi@manipal.edu, Kadri, Nahrizul Adib⁵ (AUTHOR) nahrizuladib@um.edu.my, Hasikin, Khairunnisa⁵ (AUTHOR) khairunnisa@um.edu.my, Barua, Prabal Datta^6,7,8 (AUTHOR) Prabal.Barua@usq.edu.au, Chakraborty, Subrata^8,9 (AUTHOR), Ciaccio, Edward J.¹⁰ (AUTHOR) ciaccio@columbia.edu, Acharya, U. Rajendra^11,12,13 (AUTHOR) Rajendra_Udyavara_ACHARYA@np.edu.sg

Publikováno v: Sensors (14248220). Dec2021, Vol. 21 Issue 23, p8045. 1p.