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The COVID-19 pandemic presented numerous challenges to healthcare systems worldwide. Given that lung infections are prevalent among COVID-19 patients, chest Computer Tomography (CT) scans have frequently been utilized as an alternative…

Image and Video Processing · Electrical Eng. & Systems 2023-08-04 Noemi Maritza L. Romero , Ricco Vasconcellos , Mariana R. Mendoza , João L. D. Comba

In recent years, besides the medical treatment methods in medical field, Computer Aided Diagnosis (CAD) systems which can facilitate the decision making phase of the physician and can detect the disease at an early stage have started to be…

Computer Vision and Pattern Recognition · Computer Science 2019-02-12 Emre Eğriboz , Furkan Kaynar , Songül Varlı Albayrak , Benan Müsellim , Tuba Selçuk

Stroke is a major global health problem that causes mortality and morbidity. Predicting the outcomes of stroke intervention can facilitate clinical decision-making and improve patient care. Engaging and developing deep learning techniques…

Image and Video Processing · Electrical Eng. & Systems 2024-12-09 Zeynel A. Samak , Philip Clatworthy , Majid Mirmehdi

Continuous diagnosis and prognosis are essential for intensive care patients. It can provide more opportunities for timely treatment and rational resource allocation, especially for sepsis, a main cause of death in ICU, and COVID-19, a new…

Machine Learning · Computer Science 2022-10-07 Chenxi Sun , Hongyan Li , Moxian Song , Derun Cai , Baofeng Zhang , Shenda Hong

The infection of respiratory coronavirus disease 2019 (COVID-19) starts with the upper respiratory tract and as the virus grows, the infection can progress to lungs and develop pneumonia. The conventional way of COVID-19 diagnosis is…

Image and Video Processing · Electrical Eng. & Systems 2021-06-08 Sanjay Kumar Sonbhadra , Sonali Agarwal , P. Nagabhushan

Colloidoscope is a deep learning pipeline employing a 3D residual Unet architecture, designed to enhance the tracking of dense colloidal suspensions through confocal microscopy. This methodology uses a simulated training dataset that…

COVID-19 is a severe and acute viral disease that can cause symptoms consistent with pneumonia in which inflammation is caused in the alveolous regions of the lungs leading to a build-up of fluid and breathing difficulties. Thus, the…

Image and Video Processing · Electrical Eng. & Systems 2025-07-08 Yinuo Wang , Juhyun Bae , Ka Ho Chow , Shenyang Chen , Shreyash Gupta

Early identification of patients at risk for clinical deterioration in the intensive care unit (ICU) remains a critical challenge. Delayed recognition of impending adverse events, including mortality, vasopressor initiation, and mechanical…

Machine Learning · Computer Science 2026-03-17 Binesh Sadanandan

Right heart failure (RHF) is a disease characterized by abnormalities in the structure or function of the right ventricle (RV), which is associated with high morbidity and mortality. Lung disease often causes increased right ventricular…

Machine Learning · Computer Science 2025-11-18 Bin Liu , Qinghao Zhao , Yuxi Zhou , Zhejun Sun , Kaijie Lei , Deyun Zhang , Shijia Geng , Shenda Hong

Cardiovascular diseases (CVDs) are responsible for a large proportion of premature deaths in low- and middle-income countries. Early CVD detection and intervention is critical in these populations, yet many existing CVD risk scores require…

SARS-CoV2, which causes coronavirus disease (COVID-19) is continuing to spread globally and has become a pandemic. People have lost their lives due to the virus and the lack of counter measures in place. Given the increasing caseload and…

Sepsis is a potentially life threatening inflammatory response to infection or severe tissue damage. It has a highly variable clinical course, requiring constant monitoring of the patient's state to guide the management of intravenous…

Machine Learning · Computer Science 2022-02-21 Thesath Nanayakkara , Gilles Clermont , Christopher James Langmead , David Swigon

The purpose of this study is to provide means to physicians for automated and fast recognition of airways diseases. In this work, we mainly focus on measures that can be easily recorded using a spirometer. The signals used in this framework…

Machine Learning · Computer Science 2021-11-09 Riccardo Dio , André Galligo , Angelos Mantzaflaris , Benjamin Mauroy

The COVID-19 pandemic is one of the most challenging healthcare crises during the 21st century. As the virus continues to spread on a global scale, the majority of efforts have been on the development of vaccines and the mass immunization…

Machine Learning · Computer Science 2021-09-07 Meysam Effati , Yu-Chen Sun , Hani E. Naguib , Goldie Nejat

The progression of Idiopathic Pulmonary Fibrosis (IPF) significantly correlates with higher patient mortality rates. Early detection of IPF progression is critical for initiating timely treatment, which can effectively slow down the…

Image and Video Processing · Electrical Eng. & Systems 2024-08-06 Caiwen Jiang , Xiaodan Xing , Zaixin Ou , Mianxin Liu , Walsh Simon , Guang Yang , Dinggang Shen

The United States is experiencing an opioid epidemic, and there were more than 10 million opioid misusers aged 12 or older each year. Identifying patients at high risk of Opioid Use Disorder (OUD) can help to make early clinical…

Collateral circulation results from specialized anastomotic channels which are capable of providing oxygenated blood to regions with compromised blood flow caused by ischemic injuries. The quality of collateral circulation has been…

Computer Vision and Pattern Recognition · Computer Science 2021-10-26 Giles Tetteh , Fernando Navarro , Johannes Paetzold , Jan Kirschke , Claus Zimmer , Bjoern H. Menze

Epilepsy is a neurological disorder and for its detection, encephalography (EEG) is a commonly used clinical approach. Manual inspection of EEG brain signals is a time-consuming and laborious process, which puts heavy burden on neurologists…

Computer Vision and Pattern Recognition · Computer Science 2018-01-17 Ihsan Ullah , Muhammad Hussain , Emad-ul-Haq Qazi , Hatim Aboalsamh

Peripheral Arterial Disease (PAD) is a common form of arterial occlusive disease that is challenging to evaluate at the point-of-care. Hand-held dopplers are the most ubiquitous device used to evaluate circulation and allows providers to…

Sound · Computer Science 2021-06-17 Adrit Rao , Kevin Battenfield , Oliver Aalami

The current COVID-19 pandemic is a serious threat to humanity that directly affects the lungs. Automatic identification of COVID-19 is a challenge for health care officials. The standard gold method for diagnosing COVID-19 is Reverse…

Image and Video Processing · Electrical Eng. & Systems 2022-08-09 Briskline Kiruba S , Petchiammal A , D. Murugan