This research paper describes the design of a room temperature and humidity controller
using fuzzy logic. The proposed model consists of two fuzzy logic controllers to control …

Background Hypoxic-ischemic encephalopathy (HIE) is a leading cause of morbidity and
mortality in neonates, but quantitative methods to predict outcomes early in their course of …

Background Neonatal hypoxic ischemic encephalopathy (HIE) is difficult to classify within the
narrow therapeutic window of hypothermia. Neurophysiological biomarkers are needed for …

Background The dynamic nature of neonatal hypoxic-ischemic encephalopathy (HIE) after
birth necessitates reliable biomarkers to identify infants with evolving brain injury. This …

There is a critical need for development of real time physiological biomarkers for birth asphyxia
that constitutes a major global public health burden. Our recent study (Scientific Reports, …

This work focuses on training a deep learning network in a federated learning framework. The
Federated Tumor Segmentation Challenge has 2 separate tasks. Task-1 was to design an …

Multi-class brain tumor segmentation is important for predicting the aggressiveness and
treatment response of gliomas. It has various applications including diagnosis, monitoring, and …

Birth asphyxia constitutes a major global public health burden for millions of infants with a
critical need for real time physiological biomarkers. This proof of concept study targets the …

Background Neuromonitoring at the bedside is the key to understand the pathophysiological
mechanisms of brain injury associated with neonatal encephalopathy. The current practice …

Birth asphyxia is a global burden in clinical neonatal care. It results from deprivation of oxygen
to a newborn infant that lasts too long during the birth causing physical harm to the brain. …