Accuracy of magnetic resonance imaging in predicting absence of fixation of head and neck cancer to the prevertebral space
…, T Ahmed, A Mong, ML Battineni… - Head & Neck …, 2005 - Wiley Online Library
Background. The purpose of this study was to determine the preoperative accuracy of
preservation of the retropharyngeal fat plane on magnetic resonance (MR) images in predicting …
preservation of the retropharyngeal fat plane on magnetic resonance (MR) images in predicting …
Amino acid sequence environment modulates the disruption by osteogenesis imperfecta glycine substitutions in collagen-like peptides
W Yang, ML Battineni, B Brodsky - Biochemistry, 1997 - ACS Publications
Ostoegenesis imperfecta (OI) or “brittle bone” disease is associated with mutations in the
genes for type I collagen chains and produces variable phenotypes, ranging from lethal cases …
genes for type I collagen chains and produces variable phenotypes, ranging from lethal cases …
Idiopathic hypereosinophilic syndrome with skull base involvement
ML Battineni, SL Galetta, J Oh… - American journal …, 2007 - Am Soc Neuroradiology
Idiopathic hypereosinophilic syndrome (HES) is a heterogeneous disorder characterized by
prolonged eosinophilia without an identifiable cause, ultimately resulting in organ …
prolonged eosinophilia without an identifiable cause, ultimately resulting in organ …
[HTML][HTML] A review of prolonged post-COVID-19 symptoms and their implications on dental management
The available data regarding the short and long-term consequences of COVID-19 is still
insufficient. This narrative review aims to provide information on the prolonged COVID-19 …
insufficient. This narrative review aims to provide information on the prolonged COVID-19 …
[HTML][HTML] Imaging of the salivary glands
LA Loevner, ML Battineni - W Witt RL [red.]. Salivary gland …, 2006 - pocketdentistry.com
The imaging algorithm for assessing the salivary glands depends on the clinical scenario
with which the patient presents to his or her physician. There is a spectrum of imaging studies …
with which the patient presents to his or her physician. There is a spectrum of imaging studies …
[HTML][HTML] Generative adversarial network: An overview of theory and applications
In recent times, image segmentation has been involving everywhere including disease
diagnosis to autonomous vehicle driving. In computer vision, this image segmentation is one of …
diagnosis to autonomous vehicle driving. In computer vision, this image segmentation is one of …
[HTML][HTML] Sentimental analysis of COVID-19 tweets using deep learning models
N Chintalapudi, G Battineni, F Amenta - Infectious disease reports, 2021 - mdpi.com
The novel coronavirus disease (COVID-19) is an ongoing pandemic with large global
attention. However, spreading false news on social media sites like Twitter is creating …
attention. However, spreading false news on social media sites like Twitter is creating …
[HTML][HTML] Text mining with sentiment analysis on seafarers' medical documents
N Chintalapudi, G Battineni, M Di Canio… - International Journal of …, 2021 - Elsevier
Digital health systems contain large amounts of patient records, doctor notes, and prescriptions
in text format. This information summarized over the electronic clinical information will …
in text format. This information summarized over the electronic clinical information will …
[HTML][HTML] Estimating the prevalence of stress among Indian students during the COVID-19 pandemic: A cross-sectional study from India
Objective Since December 2019, the COVID-19 pandemic has posed a substantial threat
with its associated high mortality, infection, and risk of psychological stress. A large number of …
with its associated high mortality, infection, and risk of psychological stress. A large number of …
[HTML][HTML] Self-reported modifiable risk factors of cardiovascular disease among seafarers: A cross-sectional study of prevalence and clustering
GG Sagaro, G Battineni, M Di Canio… - Journal of Personalized …, 2021 - mdpi.com
… ) divided by height in meter (m) squared (Weight (kg)/height (m) 2 ). BMI was also … m 2 ),
normal body weight (18.5–24.99 kg/m 2 ), overweight (25–29.99 kg/m 2 ) and obesity (≥30 kg/m …
normal body weight (18.5–24.99 kg/m 2 ), overweight (25–29.99 kg/m 2 ) and obesity (≥30 kg/m …