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Obsessive-compulsive disorder (OCD) is a common psychiatric disorder with a lifetime prevalence of 2-3 percent. Recently, brain activity in the resting state is gathering attention as a new means of exploring altered functional connectivity…

Understanding the neurobiology of opioid use disorder (OUD) using resting-state functional magnetic resonance imaging (rs-fMRI) may help inform treatment strategies to improve patient outcomes. Recent literature suggests time-frequency…

Neurons and Cognition · Quantitative Biology 2025-03-12 Ahmed Temtam , Megan A. Witherow , Liangsuo Ma , M. Shibly Sadique , F. Gerard Moeller , Khan M. Iftekharuddin

This study evaluates the performance of various supervised machine learning models in analyzing highly correlated neural signaling data from the Adolescent Brain Cognitive Development (ABCD) Study, with a focus on predicting…

Neurons and Cognition · Quantitative Biology 2024-07-02 Xinyu Shen , Qimin Zhang , Huili Zheng , Weiwei Qi

Focal cortical dysplasia (FCD) type II is a major cause of drug-resistant epilepsy, often curable only by surgery. Despite its clinical importance, the diagnosis of FCD is very difficult in MRI because of subtle abnormalities, leading to…

Image and Video Processing · Electrical Eng. & Systems 2025-04-11 Lorenzo Lasagni , Antonio Ciccarone , Renzo Guerrini , Matteo Lenge , Ludovico D'incerti

There is a need for automatic diagnosis of certain diseases from medical images that could help medical practitioners for further assessment towards treating the illness. Alzheimers disease is a good example of a disease that is often…

Image and Video Processing · Electrical Eng. & Systems 2019-01-30 GuruRaj Awate

Training Neural Networks (NNs) to behave as Model Predictive Control (MPC) algorithms is an effective way to implement them in constrained embedded devices. By collecting large amounts of input-output data, where inputs represent system…

Systems and Control · Electrical Eng. & Systems 2025-04-16 Alberto Castillo , Elliot Pryor , Anas El Fathi , Boris Kovatchev , Marc Breton

Alzheimer's Disease (AD) is one of the most concerned neurodegenerative diseases. In the last decade, studies on AD diagnosis attached great significance to artificial intelligence (AI)-based diagnostic algorithms. Among the diverse…

Computer Vision and Pattern Recognition · Computer Science 2019-08-20 Yechong Huang , Jiahang Xu , Yuncheng Zhou , Tong Tong , Xiahai Zhuang , the Alzheimer's Disease Neuroimaging Initiative

In recent years the importance of Smart Healthcare cannot be overstated. The current work proposed to expand the state-of-art of smart healthcare in integrating solutions for Obsessive Compulsive Disorder (OCD). Identification of OCD from…

Opioid use disorder (OUD) is a chronic and relapsing condition that involves the continued and compulsive use of opioids despite harmful consequences. The development of medications with improved efficacy and safety profiles for OUD…

Biomolecules · Quantitative Biology 2023-03-02 Hongsong Feng , Jian Jiang , Guo-Wei Wei

Brain disorders are a major challenge to global health, causing millions of deaths each year. Accurate diagnosis of these diseases relies heavily on advanced medical imaging techniques such as Magnetic Resonance Imaging (MRI) and Computed…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Xuran Zhu

Major depressive disorder (MDD) is a prevalent mental disorder associated with complex neurobiological changes that cannot be fully captured using a single imaging modality. The use of multimodal magnetic resonance imaging (MRI) provides a…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Nojod M. Alotaibi , Areej M. Alhothali

Aims Late diagnosis of Oral Squamous Cell Carcinoma (OSCC) contributes significantly to its high global mortality rate, with over 50\% of cases detected at advanced stages and a 5-year survival rate below 50\% according to WHO statistics.…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Ajo Babu George , Sreehari J R Ajo Babu George , Sreehari J R Ajo Babu George , Sreehari J R

Nowadays, due to tremendous improvements in high performance computing, it has become easier to train Neural Networks. We intend to take advantage of this situation and apply this technology in solving real world problems. There was a need…

Computer Vision and Pattern Recognition · Computer Science 2019-10-15 Gururaj Awate , Sunil Bangare , G Pradeepini , S Patil

The Blood-Oxygen-Level-Dependent (BOLD) signal of resting-state fMRI (rs-fMRI) records the temporal dynamics of intrinsic functional networks in the brain. However, existing deep learning methods applied to rs-fMRI either neglect the…

Machine Learning · Computer Science 2021-06-30 Soham Gadgil , Qingyu Zhao , Adolf Pfefferbaum , Edith V. Sullivan , Ehsan Adeli , Kilian M. Pohl

Mild Traumatic Brain Injury (mTBI) is a significant public health challenge due to its high prevalence and potential for long-term health effects. Despite Computed Tomography (CT) being the standard diagnostic tool for mTBI, it often yields…

Image and Video Processing · Electrical Eng. & Systems 2024-04-09 Hanem Ellethy , Viktor Vegh , Shekhar S. Chandra

Alzheimer's Disease (AD) is a progressive neurodegenerative disease. Amnestic mild cognitive impairment (MCI) is a common first symptom before the conversion to clinical impairment where the individual becomes unable to perform activities…

Computer Vision and Pattern Recognition · Computer Science 2017-10-16 Donghuan Lu , Karteek Popuri , Weiguang Ding , Rakesh Balachandar , Mirza Faisal Beg

Major depressive disorder (MDD) is a heterogeneous condition; multiple underlying neurobiological substrates could be associated with treatment response variability. Understanding the sources of this variability and predicting outcomes has…

Opioid Use Disorder (OUD) has emerged as a significant global public health issue, with complex multifaceted conditions. Due to the lack of effective treatment options for various conditions, there is a pressing need for the discovery of…

Machine Learning · Computer Science 2023-06-14 Hongsong Feng , Rui Wang , Chang-Guo Zhan , Guo-Wei Wei

Major depressive disorder (MDD) is one of the most common mental disorders, with significant impacts on many daily activities and quality of life. It stands as one of the most common mental disorders globally and ranks as the second leading…

Computer Vision and Pattern Recognition · Computer Science 2024-12-31 Nojod M. Alotaibi , Areej M. Alhothali , Manar S. Ali

Oral Cavity Squamous Cell Carcinoma (OCSCC) is the most common type of head and neck cancer. Due to the subtle nature of its early stages, deep and hidden areas of development, and slow growth, OCSCC often goes undetected, leading to…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Vishal Manikanden , Aniketh Bandlamudi , Daniel Haehn
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