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Osteochondrodysplasia, affecting 2-3% of newborns globally, is a group of bone and cartilage disorders that often result in head malformations, contributing to childhood morbidity and reduced quality of life. Current research on this…

Paranasal anomalies are commonly discovered during routine radiological screenings and can present with a wide range of morphological features. This diversity can make it difficult for convolutional neural networks (CNNs) to accurately…

The majority of current research in deep learning based image registration addresses inter-patient brain registration with moderate deformation magnitudes. The recent Learn2Reg medical registration benchmark has demonstrated that…

Computer Vision and Pattern Recognition · Computer Science 2022-03-02 Mattias P. Heinrich , Lasse Hansen

Retinoblastoma is the most prominent childhood primary intraocular malignancy that impacts the vision of children and adults worldwide. In contrasting and comparing with adults it is uveal melanoma. It is an aggressive tumor that can fill…

Image and Video Processing · Electrical Eng. & Systems 2021-03-16 C. Anand Deva Durai , T Jemima Jebaseeli , Salem Alelyani , Azath Mubharakali

Introduction: Photogrammetric surface scans provide a radiation-free option to assess and classify craniosynostosis. Due to the low prevalence of craniosynostosis and high patient restrictions, clinical data is rare. Synthetic data could…

Artificial intelligence (AI) has increasingly transformed medical prognostics by enabling rapid and accurate analysis across imaging and pathology. However, the investigation of machine learning predictions applied to prospectively…

The scoliosis progression in adolescents requires close monitoring to timely take treatment measures. Ultrasound imaging is a radiation-free and low-cost alternative in scoliosis assessment to X-rays, which are typically used in clinical…

Image and Video Processing · Electrical Eng. & Systems 2021-09-14 Maria Victorova , Michael Ka-Shing Lee , David Navarro-Alarcon , Yongping Zheng

Accurate intraoperative image guidance is critical for achieving maximal safe resection in brain tumor surgery, yet neuronavigation systems based on preoperative MRI lose accuracy during the procedure due to brain shift. Aligning…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Reuben Dorent , Laura Rigolo , Colin P. Galvin , Junyu Chen , Mattias P. Heinrich , Aaron Carass , Olivier Colliot , Demian Wassermann , Alexandra Golby , Tina Kapur , William Wells

Computer Tomography (CT) images have become quite important to diagnose diseases. CT scan slice contains a vast amount of data that may not be properly examined with the requisite precision and speed using normal visual inspection. A…

Computer Vision and Pattern Recognition · Computer Science 2022-08-18 Md Moniruzzaman Emon , Tareque Rahman Ornob , Moqsadur Rahman

High resolution transcranial ultrasound imaging in humans has been a persistent challenge for ultrasound due to the imaging degradation effects from aberration and reverberation. These mechanisms depend strongly on skull morphology and they…

Medical Physics · Physics 2018-11-28 Danai E. Soulioti , David Espíndola , Paul A. Dayton , Gianmarco Pinton

Coronary angioplasty with stent implantation is the most frequently used interventional treatment for coronary artery disease. However, reocclusion within the stent, referred to as in-stent restenosis, occurs in up to 10% of lesions. It is…

Computational Engineering, Finance, and Science · Computer Science 2025-02-19 Janina C. Datz , Ivo Steinbrecher , Christoph Meier , Nora Hagmeyer , Leif-Christopher Engel , Alexander Popp , Martin R. Pfaller , Heribert Schunkert , Wolfgang A. Wall

Brain metastases are a complication of primary cancer, representing the most common type of brain tumor in adults. The management of multiple brain metastases represents a clinical challenge worldwide in finding the optimal treatment for…

Image and Video Processing · Electrical Eng. & Systems 2024-03-28 Ana Sofia Santos , Matheus Silva , Crystian Saraiva , José Soares , Victor Alves

We aim to optimize the binary detection of Chronic Obstructive Pulmonary Disease (COPD) based on emphysema presence in the lung with convolutional neural networks (CNN) by exploring manually adjusted versus automated window-setting…

BACKGROUND: Proptosis is characterized by a protrusion of the eyeball due to an increase of the orbital tissue volume. To recover a normal eyeball positioning, the most frequent surgical technique consists in the osteotomy of orbital walls…

Medical Physics · Physics 2007-05-23 Vincent Luboz , Dominique Ambard , Pascal Swider , Franck Boutault , Yohan Payan

Craniofacial Superimposition involves the superimposition of an image of a skull with a number of ante-mortem face images of an individual and the analysis of their morphological correspondence. Despite being used for one century, it is not…

Computer Vision and Pattern Recognition · Computer Science 2023-01-25 Óscar Ibáñez , Enrique Bermejo , Andrea Valsecchi

The fetal cortical plate undergoes drastic morphological changes throughout early in utero development that can be observed using magnetic resonance (MR) imaging. An accurate MR image segmentation, and more importantly a topologically…

Image and Video Processing · Electrical Eng. & Systems 2024-10-30 Priscille de Dumast , Hamza Kebiri , Chirine Atat , Vincent Dunet , Mériam Koob , Meritxell Bach Cuadra

Patient-specific cranial implants are important and necessary in the surgery of cranial defect restoration. However, traditional methods of manual design of cranial implants are complicated and time-consuming. Our purpose is to develop a…

Computer Vision and Pattern Recognition · Computer Science 2017-06-26 Xiaojun Chen , Lu Xu , Xing Li , Jan Egger

A tomographic technique called full-waveform inversion has recently shown promise as a fast, affordable, and safe modality to image the brain using ultrasound. However, its high computational cost and memory footprint currently limit its…

Medical Physics · Physics 2021-11-09 Letizia Protopapa , Carlos Cueto

This paper studies chance-constrained stochastic optimization problems with finite support. It presents an iterative method that solves reduced-size chance-constrained models obtained by partitioning the scenario set. Each reduced problem…

Optimization and Control · Mathematics 2024-11-26 Marius Roland , Alexandre Forel , Thibaut Vidal

Scoliosis is a sideways curvature of the spine that most often is diagnosed among young teenagers. It dramatically affects the quality of life, which can cause complications from heart and lung injuries in severe cases. The current gold…

Image and Video Processing · Electrical Eng. & Systems 2022-11-01 Yen Hoang Nguyen