Search Results - "European radiology experimental"

Radiomics: the facts and the challenges of image analysis by Rizzo, Stefania, Botta, Francesca, Raimondi, Sara, Origgi, Daniela, Fanciullo, Cristiana, Morganti, Alessio Giuseppe, Bellomi, Massimo

“…Radiomics is an emerging translational field of research aiming to extract mineable high-dimensional data from clinical images. The radiomic process can be…”
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Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem by Hofmanninger, Johannes, Prayer, Forian, Pan, Jeanny, Röhrich, Sebastian, Prosch, Helmut, Langs, Georg

“…Background Automated segmentation of anatomical structures is a crucial step in image analysis. For lung segmentation in computed tomography, a variety of…”
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Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine by Pesapane, Filippo, Codari, Marina, Sardanelli, Francesco

“…One of the most promising areas of health innovation is the application of artificial intelligence (AI), primarily in medical imaging. This article provides…”
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Statistical significance: p value, 0.05 threshold, and applications to radiomics—reasons for a conservative approach by Di Leo, Giovanni, Sardanelli, Francesco

“…Here, we summarise the unresolved debate about p value and its dichotomisation. We present the statement of the American Statistical Association against the…”
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Through the HoloLens™ looking glass: augmented reality for extremity reconstruction surgery using 3D vascular models with perforating vessels by Pratt, Philip, Ives, Matthew, Lawton, Graham, Simmons, Jonathan, Radev, Nasko, Spyropoulou, Liana, Amiras, Dimitri

“…Precision and planning are key to reconstructive surgery. Augmented reality (AR) can bring the information within preoperative computed tomography angiography…”
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Machine learning applications in prostate cancer magnetic resonance imaging by Cuocolo, Renato, Cipullo, Maria Brunella, Stanzione, Arnaldo, Ugga, Lorenzo, Romeo, Valeria, Radice, Leonardo, Brunetti, Arturo, Imbriaco, Massimo

“…With this review, we aimed to provide a synopsis of recently proposed applications of machine learning (ML) in radiology focusing on prostate magnetic…”
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On the usage of average Hausdorff distance for segmentation performance assessment: hidden error when used for ranking by Aydin, Orhun Utku, Taha, Abdel Aziz, Hilbert, Adam, Khalil, Ahmed A., Galinovic, Ivana, Fiebach, Jochen B., Frey, Dietmar, Madai, Vince Istvan

“…Average Hausdorff distance is a widely used performance measure to calculate the distance between two point sets. In medical image segmentation, it is used to…”
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Imaging of tumour response to immunotherapy by Dromain, Clarisse, Beigelman, Catherine, Pozzessere, Chiara, Duran, Rafael, Digklia, Antonia

“…A wide range of cancer immunotherapy approaches has been developed including non-specific immune-stimulants such as cytokines, cancer vaccines, immune…”
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The effect of preprocessing filters on predictive performance in radiomics by Demircioğlu, Aydin

“…Background Radiomics is a noninvasive method using machine learning to support personalised medicine. Preprocessing filters such as wavelet and…”
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Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges by Sunoqrot, Mohammed R. S., Saha, Anindo, Hosseinzadeh, Matin, Elschot, Mattijs, Huisman, Henkjan

“…Artificial intelligence (AI) for prostate magnetic resonance imaging (MRI) is starting to play a clinical role for prostate cancer (PCa) patients. AI-assisted…”
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A machine learning model for the prediction of survival and tumor subtype in pancreatic ductal adenocarcinoma from preoperative diffusion-weighted imaging by Kaissis, Georgios, Ziegelmayer, Sebastian, Lohöfer, Fabian, Algül, Hana, Eiber, Matthias, Weichert, Wilko, Schmid, Roland, Friess, Helmut, Rummeny, Ernst, Ankerst, Donna, Siveke, Jens, Braren, Rickmer

“…Background To develop a supervised machine learning (ML) algorithm predicting above- versus below-median overall survival (OS) from diffusion-weighted…”
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Radiomics and artificial intelligence in prostate cancer: new tools for molecular hybrid imaging and theragnostics by Liberini, Virginia, Laudicella, Riccardo, Balma, Michele, Nicolotti, Daniele G., Buschiazzo, Ambra, Grimaldi, Serena, Lorenzon, Leda, Bianchi, Andrea, Peano, Simona, Bartolotta, Tommaso Vincenzo, Farsad, Mohsen, Baldari, Sergio, Burger, Irene A., Huellner, Martin W., Papaleo, Alberto, Deandreis, Désirée

“…In prostate cancer (PCa), the use of new radiopharmaceuticals has improved the accuracy of diagnosis and staging, refined surveillance strategies, and…”
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MRI with ultrahigh field strength and high-performance gradients: challenges and opportunities for clinical neuroimaging at 7 T and beyond by Vachha, Behroze, Huang, Susie Y.

“…Research in ultrahigh magnetic field strength combined with ultrahigh and ultrafast gradient technology has provided enormous gains in sensitivity, resolution,…”
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Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy by Castiglioni, Isabella, Ippolito, Davide, Interlenghi, Matteo, Monti, Caterina Beatrice, Salvatore, Christian, Schiaffino, Simone, Polidori, Annalisa, Gandola, Davide, Messa, Cristina, Sardanelli, Francesco

“…Background We aimed to train and test a deep learning classifier to support the diagnosis of coronavirus disease 2019 (COVID-19) using chest x-ray (CXR) on a…”
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Advances in liver US, CT, and MRI: moving toward the future by Vernuccio, Federica, Cannella, Roberto, Bartolotta, Tommaso Vincenzo, Galia, Massimo, Tang, An, Brancatelli, Giuseppe

“…Over the past two decades, the epidemiology of chronic liver disease has changed with an increase in the prevalence of nonalcoholic fatty liver disease in…”
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3D convolutional neural networks applied to CT angiography in the detection of acute ischemic stroke by Öman, Olli, Mäkelä, Teemu, Salli, Eero, Savolainen, Sauli, Kangasniemi, Marko

“…Background The aim of this study was to investigate the feasibility of ischemic stroke detection from computed tomography angiography source images (CTA-SI)…”
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Multicolour imaging with spectral photon-counting CT: a phantom study by Si-Mohamed, Salim, Bar-Ness, Daniel, Sigovan, Monica, Tatard-Leitman, Valérie, Cormode, David P., Naha, Pratap C., Coulon, Philippe, Rascle, Lucie, Roessl, Ewald, Rokni, Michal, Altman, Ami, Yagil, Yoad, Boussel, Loic, Douek, Philippe

“…Background To evaluate the feasibility of multicolour quantitative imaging with spectral photon-counting computed tomography (SPCCT) of different mixed…”
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Virtual non-calcium dual-energy CT: clinical applications by D’Angelo, Tommaso, Albrecht, Moritz H., Caudo, Danilo, Mazziotti, Silvio, Vogl, Thomas J., Wichmann, Julian L., Martin, Simon, Yel, Ibrahim, Ascenti, Giorgio, Koch, Vitali, Cicero, Giuseppe, Blandino, Alfredo, Booz, Christian

“…Dual-energy CT (DECT) has emerged into clinical routine as an imaging technique with unique postprocessing utilities that improve the evaluation of different…”
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Evaluation of novel coronavirus disease (COVID-19) using quantitative lung CT and clinical data: prediction of short-term outcome by Matos, João, Paparo, Francesco, Mussetto, Ilaria, Bacigalupo, Lorenzo, Veneziano, Alessio, Perugin Bernardi, Silvia, Biscaldi, Ennio, Melani, Enrico, Antonucci, Giancarlo, Cremonesi, Paolo, Lattuada, Marco, Pilotto, Alberto, Pontali, Emanuele, Rollandi, Gian Andrea

“…Background Computed tomography (CT) enables quantification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, helping in outcome…”
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PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers by Martí-Bonmatí, Luis, Alberich-Bayarri, Ángel, Ladenstein, Ruth, Blanquer, Ignacio, Segrelles, J. Damian, Cerdá-Alberich, Leonor, Gkontra, Polyxeni, Hero, Barbara, García-Aznar, J. M., Keim, Daniel, Jentner, Wolfgang, Seymour, Karine, Jiménez-Pastor, Ana, González-Valverde, Ismael, Martínez de las Heras, Blanca, Essiaf, Samira, Walker, Dawn, Rochette, Michel, Bubak, Marian, Mestres, Jordi, Viceconti, Marco, Martí-Besa, Gracia, Cañete, Adela, Richmond, Paul, Wertheim, Kenneth Y., Gubala, Tomasz, Kasztelnik, Marek, Meizner, Jan, Nowakowski, Piotr, Gilpérez, Salvador, Suárez, Amelia, Aznar, Mario, Restante, Giuliana, Neri, Emanuele

“…PRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, artificial intelligence and cancer treatment in children. It…”
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