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Stroke is the second leading cause of mortality worldwide. Immediate attention and diagnosis play a crucial role regarding patient prognosis. The key to diagnosis consists in localizing and delineating brain lesions. Standard stroke…

Image and Video Processing · Electrical Eng. & Systems 2024-09-05 Santiago Gómez , Daniel Mantilla , Gustavo Garzón , Edgar Rangel , Andrés Ortiz , Franklin Sierra-Jerez , Fabio Martínez

Among the most impactful diabetic complications are diabetic retinopathy, the leading cause of blindness among working class adults, and cardiovascular disease, the leading cause of death worldwide. This study describes the development of…

Medical Physics · Physics 2020-11-17 Kasyap Chakravadhanula

Semantic segmentation in cataract surgery has a wide range of applications contributing to surgical outcome enhancement and clinical risk reduction. However, the varying issues in segmenting the different relevant instances make the…

Computer Vision and Pattern Recognition · Computer Science 2021-09-14 Negin Ghamsarian , Mario Taschwer , klaus Schoeffmann

Fundus photography is a routine examination in clinics to diagnose and monitor ocular diseases. However, for cataract patients, the fundus image always suffers quality degradation caused by the clouding lens. The degradation prevents…

Image and Video Processing · Electrical Eng. & Systems 2022-06-13 Heng Li , Haofeng Liu , Huazhu Fu , Hai Shu , Yitian Zhao , Xiaoling Luo , Yan Hu , Jiang Liu

Medical image analysis tasks often focus on regions or structures located in a particular location within the patient's body. Often large parts of the image may not be of interest for the image analysis task. When using deep-learning based…

Computer Vision and Pattern Recognition · Computer Science 2024-11-01 Thomas Buddenkotte , Roland Opfer , Julia Krüger , Alessa Hering , Mireia Crispin-Ortuzar

Computed Tomography (CT) reconstruction is a fundamental component to a wide variety of applications ranging from security, to healthcare. The classical techniques require measuring projections, called sinograms, from a full 180$^\circ$…

Computer Vision and Pattern Recognition · Computer Science 2018-07-12 Rushil Anirudh , Hyojin Kim , Jayaraman J. Thiagarajan , K. Aditya Mohan , Kyle Champley , Timo Bremer

Objective: To evaluate whether preoperative body composition metrics automatically extracted from CT scans can predict postoperative outcomes after colectomy, either alone or combined with clinical variables or existing risk predictors.…

Computer Vision and Pattern Recognition · Computer Science 2025-06-23 Hanxue Gu , Yaqian Chen , Jisoo Lee , Diego Schaps , Regina Woody , Roy Colglazier , Maciej A. Mazurowski , Christopher Mantyh

Hip fractures are a leading cause of death and disability among older adults. Hip fractures are also the most commonly missed diagnosis on pelvic radiographs. Computer-Aided Diagnosis (CAD) algorithms have shown promise for helping…

Glaucoma causes irreversible vision loss due to damage to the optic nerve, and there is no cure for glaucoma.OCT imaging modality is an essential technique for assessing glaucomatous damage since it aids in quantifying fundus structures. To…

Computer Vision and Pattern Recognition · Computer Science 2022-08-01 Huihui Fang , Fei Li , Huazhu Fu , Junde Wu , Xiulan Zhang , Yanwu Xu

Accurate prediction of postoperative complications can inform shared decisions regarding prognosis, preoperative risk-reduction, and postoperative resource use. We hypothesized that multi-task deep learning models would outperform random…

Generic visual tracking is difficult due to many challenge factors (e.g., occlusion, blur, etc.). Each of these factors may cause serious problems for a tracking algorithm, and when they work together can make things even more complicated.…

Computer Vision and Pattern Recognition · Computer Science 2019-11-27 Heng Fan , Fan Yang , Peng Chu , Lin Yuan , Haibin Ling

Coronary artery disease (CAD) remains the leading cause of death globally and invasive coronary angiography (ICA) is considered the gold standard of anatomical imaging evaluation when CAD is suspected. However, risk evaluation based on ICA…

Osteosarcoma is the most common primary bone cancer, mainly affecting the youngest and oldest populations. Its detection at early stages is crucial to reduce the probability of developing bone metastasis. In this context, accurate and fast…

Widespread clinical deployment of computer-aided diagnosis (CAD) systems is hindered by the challenge of integrating with existing hospital IT infrastructure. Here, we introduce VisionCAD, a vision-based radiological assistance framework…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Jiaming Li , Junlei Wu , Sheng Wang , Honglin Xiong , Jiangdong Cai , Zihao Zhao , Yitao Zhu , Yuan Yin , Dinggang Shen , Qian Wang

Disease complications can alter vascular network morphology and disrupt tissue functioning. Diabetic retinopathy, for example, is a complication of types 1 and 2 diabetes mellitus that can cause blindness. Microvascular diseases are…

Quantitative Methods · Quantitative Biology 2022-09-13 John T. Nardini , Charles W. J. Pugh , Helen M. Byrne

Surface cracks are a very common indicator of potential structural faults. Their early detection and monitoring is an important factor in structural health monitoring. Left untreated, they can grow in size over time and require expensive…

Computer Vision and Pattern Recognition · Computer Science 2022-02-09 Jacob König , Mark Jenkins , Mike Mannion , Peter Barrie , Gordon Morison

Methods for automatically flag poor performing-predictions are essential for safely implementing machine learning workflows into clinical practice and for identifying difficult cases during model training. We present a readily adoptable…

Image and Video Processing · Electrical Eng. & Systems 2023-05-17 Harrison C. Gottlich , Panagiotis Korfiatis , Adriana V. Gregory , Timothy L. Kline

Stroke is the second most frequent cause of death worldwide with a considerable economic burden on the health systems. In about 15% of strokes, atherosclerotic carotid plaques (ACPs) constitute the main etiological factor. Early detection…

Computer Vision and Pattern Recognition · Computer Science 2018-08-27 Lazar Kats , Marilena Vered , Ayelet Zlotogorski-Hurvitz , Itai Harpaz

Vertebral compression fractures (VCFs) are a common and potentially serious consequence of osteoporosis. Yet, they often remain undiagnosed. Opportunistic screening, which involves automated analysis of medical imaging data acquired…

Machine Learning · Computer Science 2024-12-24 Blanca Inigo , Yiqing Shen , Benjamin D. Killeen , Michelle Song , Axel Krieger , Christopher Bradley , Mathias Unberath

The ultra-wide optical coherence tomography angiography (OCTA) has become an important imaging modality in diabetic retinopathy (DR) diagnosis. However, there are few researches focusing on automatic DR analysis using ultra-wide OCTA. In…

Image and Video Processing · Electrical Eng. & Systems 2022-10-04 Junlin Hou , Fan Xiao , Jilan Xu , Yuejie Zhang , Haidong Zou , Rui Feng