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The early detection of Alzheimer's Disease is imperative to ensure early treatment and improve patient outcomes. There has consequently been extenstive research into detecting AD and its intermediate phase, mild cognitive impairment (MCI).…

Image and Video Processing · Electrical Eng. & Systems 2024-01-17 Jamie Vo , Naeha Sharif , Ghulam Mubashar Hassan

Traumatic brain injury (TBI) presents a significant public health challenge, often resulting in mortality or lasting disability. Predicting outcomes such as mortality and Functional Status Scale (FSS) scores can enhance treatment strategies…

Machine Learning · Computer Science 2024-10-29 Lucas Steinmetz , Shivam Maheshwari , Garik Kazanjian , Abigail Loyson , Tyler Alexander , Venkat Margapuri , C. Nataraj

Whole-body CT is used for multi-trauma patients in the search of any and all injuries. Since an initial assessment needs to be rapid and the search for lesions is done for the whole body, very little time can be allocated for the inspection…

Computer Vision and Pattern Recognition · Computer Science 2024-08-21 Antoine P. Sanner , Nils F. Grauhan , Marc A. Brockmann , Ahmed E. Othman , Anirban Mukhopadhyay

Treatment decisions for brain metastatic disease rely on knowledge of the primary organ site, and currently made with biopsy and histology. Here we develop a novel deep learning approach for accurate non-invasive digital histology with…

Eye diseases are common in older Americans and can lead to decreased vision and blindness. Recent advancements in imaging technologies allow clinicians to capture high-quality images of the retinal blood vessels via Optical Coherence…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Jacob Thrasher , Annahita Amireskandari , Prashnna Gyawali

Quantitative estimation of the acute ischemic infarct is crucial to improve neurological outcomes of the patients with stroke symptoms. Since the density of lesions is subtle and can be confounded by normal physiologic changes, anatomical…

Image and Video Processing · Electrical Eng. & Systems 2021-10-12 Kongming Liang , Kai Han , Xiuli Li , Xiaoqing Cheng , Yiming Li , Yizhou Wang , Yizhou Yu

Magnetic Resonance Imaging (MRI) is a non-invasive diagnostic and radiotherapy (RT) planning tool, offering detailed insights into the anatomy of the human body. The extensive scan time is stressful for patients, who must remain motionless…

Image and Video Processing · Electrical Eng. & Systems 2023-11-23 Shahinur Alam , Jinsoo Uh , Alexander Dresner , Chia-ho Hua , Khaled Khairy

Bladder cancer claims one life every 3 minutes worldwide. Most patients are diagnosed with non-muscle-invasive bladder cancer (NMIBC), yet up to 70% recur after treatment, triggering a relentless cycle of surgeries, monitoring, and risk of…

Machine Learning · Computer Science 2025-07-29 Saram Abbas , Naeem Soomro , Rishad Shafik , Rakesh Heer , Kabita Adhikari

Focal deficits in ischaemic stroke result from impaired perfusion downstream of a critical vascular occlusion. While parenchymal lesions are traditionally used to predict clinical deficits, the underlying pattern of disrupted perfusion…

Intracerebral hemorrhage (ICH) is the most fatal subtype of stroke and is characterized by a high incidence of disability. Accurate segmentation of the ICH region and prognosis prediction are critically important for developing and refining…

Computer Vision and Pattern Recognition · Computer Science 2024-11-08 Xinlei Yu , Ahmed Elazab , Ruiquan Ge , Hui Jin , Xinchen Jiang , Gangyong Jia , Qing Wu , Qinglei Shi , Changmiao Wang

When the blood supply to the brain is obstructed by a clot, oxygen delivery to brain tissues becomes insufficient, leading to cellular necrosis. In healthcare settings, accurately identifying and delineating ischemic lesion boundaries is…

Image and Video Processing · Electrical Eng. & Systems 2026-05-22 Sayed Amir Mousavi Mobarakeh

Accurate segmentation of ischemic stroke lesions from diffusion magnetic resonance imaging (MRI) is essential for clinical decision-making and outcome assessment. Diffusion-Weighted Imaging (DWI) and Apparent Diffusion Coefficient (ADC)…

Image and Video Processing · Electrical Eng. & Systems 2025-12-24 Muhammad Usman , Azka Rehman , Muhammad Mutti Ur Rehman , Abd Ur Rehman , Muhammad Umar Farooq

Trauma is a significant cause of mortality and disability, particularly among individuals under forty. Traditional diagnostic methods for traumatic injuries, such as X-rays, CT scans, and MRI, are often time-consuming and dependent on…

Image and Video Processing · Electrical Eng. & Systems 2024-07-24 Liheng Jiang , Xuechun yang , Chang Yu , Zhizhong Wu , Yuting Wang

Pulmonary embolism (PE) is a life-threatening condition where rapid and accurate diagnosis is imperative yet difficult due to predominantly atypical symptomatology. Computed tomography pulmonary angiography (CTPA) is acknowledged as the…

Image and Video Processing · Electrical Eng. & Systems 2024-07-17 Bizhe Bai , Yan-Jie Zhou , Yujian Hu , Tony C. W. Mok , Yilang Xiang , Le Lu , Hongkun Zhang , Minfeng Xu

Background: MRI is the modality of choice for cartilage imaging; however, its diagnostic performance is variable and significantly lower than the gold standard diagnostic knee arthroscopy. In recent years, deep learning has been used to…

Computer Vision and Pattern Recognition · Computer Science 2021-06-24 Gergo Merkely , Alireza Borjali , Molly Zgoda , Evan M. Farina , Simon Gortz , Orhun Muratoglu , Christian Lattermann , Kartik M. Varadarajan

Efficient brain tumor diagnosis is crucial for early treatment; however, it is challenging because of lesion variability and image complexity. We evaluated convolutional neural networks (CNNs) in a federated learning (FL) setting, comparing…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Thamara Leandra de Deus Melo , Rodrigo Moreira , Larissa Ferreira Rodrigues Moreira , André Ricardo Backes

Brain tumors represent one of the most critical neurological conditions, where early and accurate diagnosis is directly correlated with patient survival rates. Manual interpretation of Magnetic Resonance Imaging (MRI) scans is…

Computer Vision and Pattern Recognition · Computer Science 2026-04-24 Chinedu Emmanuel Mbonu , Tochukwu Sunday Belonwu , Okwuchukwu Ejike Chukwuogo , Kenechukwu Sylvanus Anigbogu

Primary Immune thrombocytopenia (ITP) is a rare autoimmune disease characterised by immune-mediated destruction of peripheral blood platelets in patients leading to low platelet counts and bleeding. The diagnosis and effective management of…

Machine Learning · Computer Science 2024-06-03 Haroon Miah , Dimitrios Kollias , Giacinto Luca Pedone , Drew Provan , Frederick Chen

Knee Osteoarthritis (OA) is a common musculoskeletal disorder in the United States. When diagnosed at early stages, lifestyle interventions such as exercise and weight loss can slow OA progression, but at later stages, only an invasive…

Image and Video Processing · Electrical Eng. & Systems 2020-02-26 Aniket A. Tolpadi , Jinhee J. Lee , Valentina Pedoia , Sharmila Majumdar

Coronary angiography remains the gold standard for diagnosing Acute Coronary Syndrome (ACS). However, its resource-intensive and invasive nature can expose patients to procedural risks and diagnostic delays, leading to postponed treatment…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Diane Kim , Minh Nguyen Nhat To , Sherif Abdalla , Teresa S. M. Tsang , Purang Abolmaesumi , and Christina Luong