Relevant bibliographies by topics / Aneurysm detection

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Aneurysm detection'

Author: Grafiati
Published: 8 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Aneurysm detection"

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Franjić, Darjan, and Josip Mašković. "Value of 3D-DSA in the detection of intracranial aneurysms." Medicina Fluminensis 57, no. 3 (2021): 260–68. http://dx.doi.org/10.21860/medflum2021_261187.

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Aim: To determine the value of three-dimensional (3D) digital subtraction angiography (DSA) in the detection of intracranial aneurysms and to compare 3D technique with DSA. Materials and Methods: A retrospective analysis of 50 patients with 60 intracranial aneurysms who underwent both conventional DSA and 3D-DSA for the evaluation of intracranial aneurysms was conducted. The presence of aneurysms, detection of aneurysmal neck, size, location, presence of additional and small aneurysms analyzed from the two protocols were compared. Results: Three-dimensional technique detected 54 aneurysms whil
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Nakagawa, Daichi, Yasunori Nagahama, Bruno A. Policeni, et al. "Accuracy of detecting enlargement of aneurysms using different MRI modalities and measurement protocols." Journal of Neurosurgery 130, no. 2 (2019): 559–65. http://dx.doi.org/10.3171/2017.9.jns171811.

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OBJECTIVEAneurysm growth is considered predictive of future rupture of intracranial aneurysms. However, how accurately neuroradiologists can reliably detect incremental aneurysm growth using clinical MRI is still unknown. The purpose of this study was to assess the agreement rate of detecting aneurysm enlargement employing generally used MRI modalities.METHODSThree silicone flow phantom models, each with 8 aneurysms of various sizes at different sites, were used in this study. The aneurysm models were identical except for an incremental increase in the sizes of the 8 aneurysms, which ranged fr
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Gunia, D. J., E. T. Ekvtimishvili, and G. Z. Basiladze. "Necessity of follow-up cerebral digital subtraction angiography after endovascular coiling or microsurgical cliping of ruptured intracranial aneurysms to exclude de novo or aneurysmal regrow and avoid its rupture: report of 2 cases." Endovascular Neuroradiology 27, no. 1 (2019): 12–20. http://dx.doi.org/10.26683/2304-9359-2019-1(27)-12-20.

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Objective – to improve treatment results of patients with ruptured brain aneurysms using follow-up cerebral digital subtraction angiography to avoid de novo or aneurismal regrow.Materials and methods. Analysis of follow-up cerebral digital subtraction angiography and treatment results of two patient (60 and 64-year-old females) with brain anterior communicated artery de novo aneurysm and regrowed aneurysm of an anterior communicated artery after microsurgical clipping.Results. Two patient underwent endovascular treatment of ruptured brain aneurysms after non follow-up cerebral digital subtract
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Huston, J., V. E. Torres, P. P. Sulivan, K. P. Offord, and D. O. Wiebers. "Value of magnetic resonance angiography for the detection of intracranial aneurysms in autosomal dominant polycystic kidney disease." Journal of the American Society of Nephrology 3, no. 12 (1993): 1871–77. http://dx.doi.org/10.1681/asn.v3121871.

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The association of intracranial aneurysms with autosomal dominant polycystic kidney disease (ADPKD), the 30-day mortality rate exceeding 50% for aneurysmal rupture, the effectiveness of surgical repair of unruptured aneurysms with a low surgical risk, and the development of noninvasive imaging techniques for their detection have led physicians to consider the value of screening patients with ADPKD for unruptured intracranial aneurysms. The sensitivity and specificity of high-resolution computed tomography and magnetic resonance imaging for the diagnosis of small intracranial aneurysms have bee
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Lee, Aleum. "High-Resolution Time-of-Flight Magnetic Resonance Angiography with a Volume Rendering Algorithm for Detection of Unruptured Aneurysms: Correlations with Digital Subtraction Angiography." Soonchunhyang Medical Science 30, no. 1 (2024): 23–31. http://dx.doi.org/10.15746/sms.24.004.

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Objective: We investigated the diagnostic accuracy of high-resolution magnetic resonance angiography (HR-MRA) with volume rendering (VR) post-processing techniques for the detection of cerebral aneurysms compared with conventional MRA (C-MRA) using digital subtraction angiography (DSA) as the gold standard.Methods: HR-MRA was performed for 51 possible aneurysms of 38 patients on C-MRA. For each possible aneurysm, readers recorded their level of confidence on a 5-point scale. All patients underwent DSA, which was used as the standard of reference. Receiver-operating characteristic (ROC) analysi
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Dupont, Stefan A., Giuseppe Lanzino, Eelco F. M. Wijdicks, and Alejandro A. Rabinstein. "The use of clinical and routine imaging data to differentiate between aneurysmal and nonaneurysmal subarachnoid hemorrhage prior to angiography." Journal of Neurosurgery 113, no. 4 (2010): 790–94. http://dx.doi.org/10.3171/2010.4.jns091932.

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Object In this study, the authors' goal was to minimize false-negative results in the detection of ruptured cerebral aneurysms. Methods The authors retrospectively reviewed the clinical and radiological information in consecutive adult patients admitted with acute subarachnoid hemorrhage (SAH) to their hospital between January 1, 2002, and January 1, 2008. Patients were grouped based on the presence or absence of a ruptured aneurysm, which was detected by catheter angiography. Multivariate logistic regression analysis was used to identify factors predicting detection of aneurysmal rupture by a
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Paralic, Martin, Kamil Zelenak, Patrik Kamencay, and Robert Hudec. "Automatic Approach for Brain Aneurysm Detection Using Convolutional Neural Networks." Applied Sciences 13, no. 24 (2023): 13313. http://dx.doi.org/10.3390/app132413313.

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The paper introduces an approach for detecting brain aneurysms, a critical medical condition, by utilizing a combination of 3D convolutional neural networks (3DCNNs) and Convolutional Long Short-Term Memory (ConvLSTM). Brain aneurysms pose a significant health risk, and early detection is vital for effective treatment. Traditional methods for aneurysm detection often rely on complex and time-consuming procedures. A radiologist specialist annotates each aneurysm and supports our work with true-ground annotations. From the annotated data, we extract images to train proposed neural networks. The
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Ajiboye, Norman, Nohra Chalouhi, Robert M. Starke, Mario Zanaty, and Rodney Bell. "Unruptured Cerebral Aneurysms: Evaluation and Management." Scientific World Journal 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/954954.

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The evolution of imaging techniques and their increased use in clinical practice have led to a higher detection rate of unruptured intracranial aneurysms. The diagnosis of an unruptured intracranial aneurysm is a source of significant stress to the patient because of the concerns for aneurysmal rupture, which is associated with substantial rates of morbidity and mortality. Therefore, it is important that decisions regarding optimum management are made based on the comparison of the risk of aneurysmal rupture with the risk associated with intervention. This review provides a comprehensive overv
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Al Kasab, Sami, Daichi Nakagawa, Mario Zanaty, et al. "In vitro accuracy and inter-observer reliability of CT angiography in detecting intracranial aneurysm enlargement." Journal of NeuroInterventional Surgery 11, no. 10 (2019): 1015–18. http://dx.doi.org/10.1136/neurintsurg-2019-014737.

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Background and purposeTo evaluate the accuracy and inter-observer variability when CT angiography is used to identify unruptured intracranial aneurysm growth.MethodsTwo silicone phantom models were used in this study. Each phantom had eight aneurysms of variable size. The size and location of aneurysms in phantom 1 were representative of real patient aneurysms who presented to our institution. Phantom 2 contained aneurysms in the same locations, but with enlargement in various directions. Three blinded board-certified neuroradiologists were asked to identify the size of each aneurysm in three
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Imaizumi, Yohichi, Tohru Mizutani, Katsuyoshi Shimizu, Yosuke Sato, and Junichi Taguchi. "Detection rates and sites of unruptured intracranial aneurysms according to sex and age: an analysis of MR angiography–based brain examinations of 4070 healthy Japanese adults." Journal of Neurosurgery 130, no. 2 (2019): 573–78. http://dx.doi.org/10.3171/2017.9.jns171191.

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OBJECTIVEThe purpose of this study was to evaluate the detection rate and occurrence site according to patient sex and age of unruptured intracranial aneurysms detected through MRI and MR angiography (MRA).METHODSA total of 4070 healthy adults 22 years or older (mean age [± SD] 50.6 ± 11.0 years; 41.9% women) who underwent a brain examination known as “Brain Dock” in the central Tokyo area between April 2014 and March 2015 were checked for unruptured saccular aneurysm using 3-T MRI/MRA. The following types of cases were excluded: 1) protrusions with a maximum diameter < 2 mm at locations ot
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Dissertations / Theses on the topic "Aneurysm detection"

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Wells, Catherine E. "Abdominal Aortic Aneurysm detection by common femoral artery Doppler ultrasound waveform analysis." Thesis, Cardiff University, 2007. http://orca.cf.ac.uk/54725/.

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Abdominal Aortic Aneurysm (AAA) is a serious, life threatening condition. AAAs are often asymptomatic and many remain silent until rupture. If detected early, the condition can be monitored and electively repaired relatively safely. Arterial disease is readily and routinely assessed using Doppler ultrasound. The effect of occlusive arterial disease on Doppler waveforms is well documented and the disease state of the aorto-iliac segment can be estimated by examination of the common femoral artery (CFA) waveform. Theoretically, aneurysmal disease should alter the blood flow pattern due to the lo
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Yuk, Jongtae. "Hemorrhage and aortic aneurysm detection in the abdomen using 3D ultrasound imaging /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/5882.

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Maroney, Roy Thomas. "Missed opportunities for the detection of abdominal aortic aneurysms : a retrospective study of eighteen patients presenting with a ruptured or acute symptomatic abdominal aortic aneurysm." Master's thesis, University of Cape Town, 1997. http://hdl.handle.net/11427/25566.

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A ruptured abdominal aortic aneurysm (AAA) has a mortality of 80 percent. The majority of these cases present as medical emergencies, with 50 percent dying before they reach hospital. Twenty percent are not operated on because of an incorrect diagnosis and of the surviving 30 percent, there will be a peri-operative mortality of 40 percent. Thus only 20 percent of patients survive this condition. It is important to state that the long-term survival reported for patients undergoing AAA surgery approximates that of age-matched populations. This is in contrast to patients undergoing a coronary byp
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BHADRI, PRASHANT R. "DEVELOPMENT OF AN INTEGRATED SOFTWARE/HARDWARE PLATFORM FOR THE DETECTION OF CEREBRAL ANEURYSM BY QUANTIFYING BILIRUBIN IN CEREBRAL SPINAL FLUID." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1126815429.

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López-Linares, Karen. "Image analysis and deep learning to support endovascular repair of abdominal aortic aneurysms." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/667102.

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An abdominal aortic aneurysm (AAA) is a focal dilation of the aorta that may lead to its rupture. The most common treatment for AAAs is endovascular aneurysm repair (EVAR). EVAR implies lifelong postoperative surveillance using Computed Tomography Angiography (CTA), due to the potential appearance of complications. This thesis sets the basis for intelligent CTA image analysis to support post-operative follow-up of AAAs, providing clinicians with valuable information to prognose the behavior of the aneurysm. First, novel pre-operative and post-operative AAA segmentation approaches are develope
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Wang, Yan. "Etude de la méthode de Boltzmann sur réseau pour la segmentation d'anévrismes cérébraux." Thesis, Lyon, INSA, 2014. http://www.theses.fr/2014ISAL0078/document.

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L'anévrisme cérébral est une région fragile de la paroi d'un vaisseau sanguin dans le cerveau, qui peut se rompre et provoquer des saignements importants et des accidents vasculaires cérébraux. La segmentation de l'anévrisme cérébral est une étape primordiale pour l'aide au diagnostic, le traitement et la planification chirurgicale. Malheureusement, la segmentation manuelle prend encore une part importante dans l'angiographie clinique et elle est devenue couteuse en temps de traitement étant donné la gigantesque quantité de données générées par les systèmes d'imagerie médicale. Les méthodes de
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White, P. M. "The detection of intracranial aneurysms by non-invasive imaging methods and the epidemiology of aneurysmal subarachnoid haemorrhage within the Scottish population." Thesis, University of Edinburgh, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.663704.

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The aims of the research project, which led to the writing of this thesis were to: Examine whether non-invasive imaging methods could replace intra-arterial angiography (IADSA) in the detection of intracranial aneurysms by: a) systematically reviewing the literature; b) prospectively determining the accuracy of non-invasive imaging methods currently available to Scotland, including the effect of observer experience on diagnostic performance and the patient acceptability of the alternative imaging modalities. To establish the incidence of aneurysmal subarachnoid haemorrhage (SAH) in families by
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Assis, Youssef. "Détection des anévrismes intracrâniens par apprentissage profond." Electronic Thesis or Diss., Université de Lorraine, 2024. http://www.theses.fr/2024LORR0012.

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Les anévrismes intracrâniens sont des dilatations locales des vaisseaux sanguins cérébraux, présentant un risque significatif de rupture, susceptible d'entraîner des conséquences graves. La détection précoce des anévrismes non rompus revêt donc une importance cruciale pour prévenir des complications potentiellement mortelles. Cependant, l'analyse des images médicales pour localiser ces anévrismes est une tâche complexe et chronophage, demandant du temps et d'expertise, et malgré cela reste susceptible d'erreurs d'interprétation. Face à ces défis, cette thèse explore des méthodes automatisées p
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Yang, Guang. "Detection of micro-aneurysms in low-resolution color retinal images." Mémoire, [S.l. : s.n.], 2001. http://savoirs.usherbrooke.ca/handle/11143/4546.

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Ma, Qixiang. "Deep learning based segmentation and detection of aorta structures in CT images involving fully and weakly supervised learning." Electronic Thesis or Diss., Université de Rennes (2023-....), 2024. http://www.theses.fr/2024URENS029.

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La réparation endovasculaire des anévrismes aortiques abdominaux (EVAR) et l’implantation valvulaire aortique transcathéter (TAVI) sont des interventions endovasculaires pour lesquelles l’analyse des images CT préopératoires est une étape préalable au planning et au guidage de navigation. Dans le cas de la procédure EVAR, les travaux se concentrent spécifiquement sur la question difficile de la segmentation de l’aorte dans l’imagerie CT acquise sans produit de contraste (NCCT), non encore résolue. Dans le cas de la procédure TAVI, ils abordent la détection des repères anatomiques permettant de
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Books on the topic "Aneurysm detection"

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Hennemuth, Anja, Leonid Goubergrits, Matthias Ivantsits, and Jan-Martin Kuhnigk, eds. Cerebral Aneurysm Detection. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72862-5.

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Conan, Doyle A. Complete Sherlock Holmes & other detective stories. HarperCollins Publishers, 1994.

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Conan, Doyle Arthur. A study in scarlet: The hound of the Baskervilles. Reader's Digest, 1991.

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Conan, Doyle Arthur. A Study in Scarlet / The Hound of the Baskervilles. Reader's Digest Association Limited, 1991.

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Conan, Doyle Arthur. A Study In Scarlet / The Hound Of The Baskervilles. Readers Digest, 1990.

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Conan, Doyle Arthur. A study in scarlet: The hound of the Baskervilles. Reader's Digest Association, 1991.

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Conan, Doyle Arthur. A study in scarlet: The hound of the Baskervilles. Reader's Digest Association, 1993.

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Conan, Doyle A. A Study in Scarlet | The Hound of the Baskervilles. Reader's Digest Association, 1986.

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Conan, Doyle Arthur. Sherlock Holmes: The Complete Illustrated Novels. Chancellor Press, 1989.

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Conan, Doyle Arthur. The Sherlock Holmes Novels. Quality Paperback Book Club, 2006.

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Book chapters on the topic "Aneurysm detection"

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Jain, Kartik. "CADA Challenge: Rupture Risk Assessment Using Computational Fluid Dynamics." In Cerebral Aneurysm Detection. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72862-5_8.

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Jia, Yizhuan, Weibin Liao, Yi Lv, et al. "Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet." In Cerebral Aneurysm Detection. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72862-5_4.

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Ivantsits, Matthias, Jan-Martin Kuhnigk, Markus Huellebrand, Titus Kuehne, and Anja Hennemuth. "Deep Learning-Based 3D U-Net Cerebral Aneurysm Detection." In Cerebral Aneurysm Detection. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72862-5_3.

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Ma, Jun, and Ziwei Nie. "Exploring Large Context for Cerebral Aneurysm Segmentation." In Cerebral Aneurysm Detection. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72862-5_7.

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Ivantsits, Matthias, Leonid Goubergrits, Jan-Martin Kuhnigk, et al. "Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA)." In Cerebral Aneurysm Detection. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72862-5_1.

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Ivantsits, Matthias, Leonid Goubergrits, Jan Brüning, Andreas Spuler, and Anja Hennemuth. "Intracranial Aneurysm Rupture Prediction with Computational Fluid Dynamics Point Clouds." In Cerebral Aneurysm Detection. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72862-5_11.

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Spuler, Andreas, and Leonid Goubergrits. "CADA: Clinical Background and Motivation." In Cerebral Aneurysm Detection. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72862-5_2.

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Shit, Suprosanna, Ivan Ezhov, Johannes C. Paetzold, and Bjoern Menze. "A$$\nu $$-Net: Automatic Detection and Segmentation of Aneurysm." In Cerebral Aneurysm Detection. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72862-5_5.

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Su, Ziyu, Yizhuan Jia, Weibin Liao, et al. "3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation Challenge." In Cerebral Aneurysm Detection. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72862-5_6.

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Ivantsits, Matthias, Markus Huellebrand, Sebastian Kelle, Titus Kuehne, and Anja Hennemuth. "Intracranial Aneurysm Rupture Risk Estimation Utilizing Vessel-Graphs and Machine Learning." In Cerebral Aneurysm Detection. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72862-5_10.

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Conference papers on the topic "Aneurysm detection"

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Wang, Simin, and Miao Song. "Multimodal aneurysm rupture prediction analysis." In Third International Conference on Machine Vision, Automatic Identification and Detection, edited by Renchao Jin. SPIE, 2024. http://dx.doi.org/10.1117/12.3035454.

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Chen, Zan, Zheng Gong, Shanchao Wen, Yue Sun, Shaolong Shi, and Yifan Chen. "Nanoparticle Tomography for Vascular Aneurysm Detection." In 2024 IEEE 24th International Conference on Nanotechnology (NANO). IEEE, 2024. http://dx.doi.org/10.1109/nano61778.2024.10628757.

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Sykora, Peter, Roberta Hlavata, Patrik Kamencay, and Robert Hudec. "A New Approach for Detection Intracranial Aneurysm." In 2025 35th International Conference Radioelektronika (RADIOELEKTRONIKA). IEEE, 2025. https://doi.org/10.1109/radioelektronika65656.2025.11008423.

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Anuja, R., M. M. Gowthul Alam, K. Hariharan, P. Mukilan, M. Thanga Shalini, and D. Karthikeyan. "Efficient Abdominal Aortic Aneurysm Detection Using Optimized PNN Approach." In 2024 International Conference on Advancement in Renewable Energy and Intelligent Systems (AREIS). IEEE, 2024. https://doi.org/10.1109/areis62559.2024.10893600.

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Tjuatja, Felix Gustino, Alexander Immanuel Samosir, Henry Lucky, and Meiliana. "Evaluating Deep Learning Algorithms for Aneurysm Detection Using CNN and VGG-16 with Random Forest Integration." In 2024 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS). IEEE, 2024. https://doi.org/10.1109/icimcis63449.2024.10957532.

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White, R. E., M. Mattei Di Eugenio, R. White, and V. K. Chivukula. "3D Reconstruction of Cerebral Aneurysm Geometry from 2D Angiographic Imaging using Deep Learning." In 2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD). IEEE, 2024. http://dx.doi.org/10.1109/nss/mic/rtsd57108.2024.10656094.

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Xu, Yuanyuan, Jiliu Zhou, and Yan Liu. "Multiple angle key points detection guided screening of unruptured intracranial aneurysms." In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2024. https://doi.org/10.1109/embc53108.2024.10782775.

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Vigneshwaran, P., and S. P. Velmurugan. "Detection of Intracranial Aneurysms by using 3-Dimensional Multiscale Vessel Enhanced Filtering." In 2024 Intelligent Systems and Machine Learning Conference (ISML). IEEE, 2024. https://doi.org/10.1109/isml60050.2024.11007417.

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B, Aruna Kumara, Raveendra Gudodagi, Madan H T, Kavitha D. D, and Manjunatha H. M. "Enhancing Early Detection of Brain Aneurysms: A CNN-Driven, Real-Time Approach with Angiography Imaging." In 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS). IEEE, 2024. https://doi.org/10.1109/icicnis64247.2024.10823359.

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Byrne, Greg, Fernando Mut, and Juan R. Cebral. "Using Vortex Coreline Detection to Characterize Aneurysmal Flow Activity." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80209.

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Assessing the risk of rupture of cerebral aneurysms is important for planning elective interventions. Since hemodynamics is thought to play a fundamental role in the mechanisms governing aneurysm progression and rupture, numerous investigations have tried to connect aneurysm hemodynamic conditions and rupture. In our previous work aneurysm flow patterns were qualitatively classified into simple / complex and stable / unstable categories by looking at the number of vortices within the aneurysm and their persistence during the cardiac cycle [1, 2]. The purpose of this work is to propose objectiv
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Reports on the topic "Aneurysm detection"

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Wang, Ting-Wei, Yun-Hsuan Tzeng, Jia-Sheng Hong, et al. The Role of Deep Learning in Aortic Aneurysm Segmentation and Detection from CT Scans: A Systematic Review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2024. http://dx.doi.org/10.37766/inplasy2024.3.0126.

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