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Studying porous rock materials with X-Ray Computed Tomography (XRCT) has been established as a standard procedure for the non-destructive visualization of flow and transport in opaque porous media. Despite the recent advances in the field…

Machine Learning · Computer Science 2022-05-19 Dongwon Lee , Nikolaos Karadimitriou , Matthias Ruf , Holger Steeb

To this date the safety assessment of materials, used for example in the nuclear power sector, commonly relies on a fracture mechanical analysis utilizing macroscopic concepts, where a global load quantity K or J is compared to the…

Machine Learning · Computer Science 2024-03-28 Johannes Rosenberger , Johannes Tlatlik , Sebastian Münstermann

Hip fracture risk assessment is an important but challenging task. Quantitative CT-based patient specific finite element analysis (FEA) computes the force (fracture load) to break the proximal femur in a particular loading condition. It…

Magnetic resonance imaging (MRI) is an important medical imaging modality, but its acquisition speed is quite slow due to the physiological limitations. Recently, super-resolution methods have shown excellent performance in accelerating…

Image and Video Processing · Electrical Eng. & Systems 2021-07-22 Guangyuan Li , Jun Lv , Xiangrong Tong , Chengyan Wang , Guang Yang

Classical radiomic features are designed to quantify image appearance and intensity patterns. Compared with end-to-end deep learning (DL) models trained for disease classification, radiomics pipelines with low-dimensional parametric…

Computer Vision and Pattern Recognition · Computer Science 2026-03-04 Yaxi Chen , Simin Ni , Jingjing Zhang , Shaheer U. Saeed , Yipei Wang , Aleksandra Ivanova , Rikin Hargunani , Chaozong Liu , Jie Huang , Yipeng Hu

Purpose: Accurate 3D MRI-ultrasound (US) deformable registration is critical for real-time guidance in high-dose-rate (HDR) prostate brachytherapy. We present a weakly supervised spatial implicit neural representation (SINR) method to…

Medical Physics · Physics 2025-03-19 Jing Wang , Ruirui Liu , Yu Lei , Michael J. Baine , Tian Liu , Yang Lei

Deep learning (DL) has proven highly effective for ultrasound-based computer-aided diagnosis (CAD) of breast cancers. In an automaticCAD system, lesion detection is critical for the following diagnosis. However, existing DL-based methods…

Image and Video Processing · Electrical Eng. & Systems 2023-06-13 Jian Wang , Liang Qiao , Shichong Zhou , Jin Zhou , Jun Wang , Juncheng Li , Shihui Ying , Cai Chang , Jun Shi

Osteoporosis is a common bone disease that occurs when the creation of new bone does not keep up with the loss of old bone, resulting in increased fracture risk. Adults over the age of 50 are especially at risk and see their quality of life…

Image and Video Processing · Electrical Eng. & Systems 2021-02-16 P. A. Bjornsson , B. Helgason , H. Palsson , S. Sigurdsson , V. Gudnason , L. M. Ellingsen

Wrist fractures are highly prevalent among children and can significantly impact their daily activities, such as attending school, participating in sports, and performing basic self-care tasks. If not treated properly, these fractures can…

Image and Video Processing · Electrical Eng. & Systems 2024-08-01 Ammar Ahmed , Abdul Manaf

Osteoporotic vertebral fractures have a severe impact on patients' overall well-being but are severely under-diagnosed. These fractures present themselves at various levels of severity measured using the Genant's grading scale. Insufficient…

Image and Video Processing · Electrical Eng. & Systems 2020-08-19 Malek Husseini , Anjany Sekuboyina , Maximilian Loeffler , Fernando Navarro , Bjoern H. Menze , Jan S. Kirschke

Knee osteoporosis weakens the bone tissue in the knee joint, increasing fracture risk. Early detection through X-ray images enables timely intervention and improved patient outcomes. While some researchers have focused on diagnosing knee…

Image and Video Processing · Electrical Eng. & Systems 2024-12-13 Ayesha Siddiqua , Rakibul Hasan , Anichur Rahman , Abu Saleh Musa Miah

Early identification of individuals at risk of stroke remains a major clinical challenge, as prodromal motor im- pairments are often subtle and transient. In this pilot study, a wearable sensor-based framework is proposed for early pre-…

Neurons and Cognition · Quantitative Biology 2026-03-18 Chanakan Chaipan , Aueaphum Aueawatthanaphisut

The exploration of automated wrist fracture recognition has gained considerable research attention in recent years. In practical medical scenarios, physicians and surgeons may lack the specialized expertise required for accurate X-ray…

Computer Vision and Pattern Recognition · Computer Science 2024-12-19 Ammar Ahmed , Ali Shariq Imran , Mohib Ullah , Zenun Kastrati , Sher Muhammad Daudpota

The health and safety hazards posed by worn crane lifting ropes mandate periodic inspection for damage. This task is time-consuming, prone to human error, halts operation, and may result in the premature disposal of ropes. Therefore, we…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Tuomas Jalonen , Mohammad Al-Sa'd , Roope Mellanen , Serkan Kiranyaz , Moncef Gabbouj

Automatic CT segmentation of proximal femur is crucial for the diagnosis and risk stratification of orthopedic diseases; however, current methods for the femur CT segmentation mainly rely on manual interactive segmentation, which is…

Computer Vision and Pattern Recognition · Computer Science 2021-02-09 Yu Deng , Ling Wang , Chen Zhao , Shaojie Tang , Xiaoguang Cheng , Hong-Wen Deng , Weihua Zhou

Monitoring surface cracks in infrastructure is crucial for structural health monitoring. Automatic visual inspection offers an effective solution, especially in hard-to-reach areas. Machine learning approaches have proven their…

Computer Vision and Pattern Recognition · Computer Science 2024-06-12 Florent Forest , Hugo Porta , Devis Tuia , Olga Fink

High energy impacts at joint locations often generate highly fragmented, or comminuted, bone fractures. Current approaches for treatment require physicians to decide how to classify the fracture within a hierarchy fracture severity…

Computer Vision and Pattern Recognition · Computer Science 2021-02-24 Pengcheng Liu , Nathan Hewitt , Waseem Shadid , Andrew Willis

Early detection of dysplasia of the cervix is critical for cervical cancer treatment. However, automatic cervical dysplasia diagnosis via visual inspection, which is more appropriate in low-resource settings, remains a challenging problem.…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Yichen Zhang , Yifang Yin , Ying Zhang , Zhenguang Liu , Zheng Wang , Roger Zimmermann

Osteoporosis is a common disease that increases fracture risk. Hip fractures, especially in elderly people, lead to increased morbidity, decreased quality of life and increased mortality. Being a silent disease before fracture, osteoporosis…

Computer Vision and Pattern Recognition · Computer Science 2022-10-07 Lars Schmarje , Stefan Reinhold , Timo Damm , Eric Orwoll , Claus-C. Glüer , Reinhard Koch

Pelvic bone tumor resections remain significantly challenging due to complex three-dimensional anatomy and limited surgical visualization. Current navigation systems and patient-specific instruments, while accurate, present limitations…

Image and Video Processing · Electrical Eng. & Systems 2025-06-02 Vahid Danesh , Paul Arauz , Maede Boroji , Andrew Zhu , Mia Cottone , Elaine Gould , Fazel A. Khan , Imin Kao