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Image quality and metal artifact reduction in total hip arthroplasty CT: deep learning-based algorithm versus virtual monoenergetic imaging and orthopedic metal artifact reduction Eur. Radiol. Exp. Pub Date : 2024-03-14 Mark Selles, Ruud H. H. Wellenberg, Derk J. Slotman, Ingrid M. Nijholt, Jochen A. C. van Osch, Kees F. van Dijke, Mario Maas, Martijn F. Boomsma
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Photon-counting CT of degenerative changes and rupture of silicone breast implants: a pilot study Eur. Radiol. Exp. Pub Date : 2024-03-14 Claudia Neubauer, Oliver Gebler, Caroline Wilpert, Maxim Scherwitz, Niklas Efinger, Fabian Bamberg, Marisa Windfuhr-Blum, Jakob Neubauer
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Effect of MRI acquisition parameters on accuracy and precision of phase-contrast measurements in a small-lumen vessel phantom Eur. Radiol. Exp. Pub Date : 2024-03-13 Maria Correia de Verdier, Johan Berglund, Johan Wikström
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Repeatability of deuterium metabolic imaging of healthy volunteers at 3 T Eur. Radiol. Exp. Pub Date : 2024-03-13 Nikolaj Bøgh, Michael Vaeggemose, Rolf F. Schulte, Esben S S Hansen, Christoffer Laustsen
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Detection of femoropopliteal arterial steno-occlusion at MR angiography: initial experience with artificial intelligence Eur. Radiol. Exp. Pub Date : 2024-03-13 Tri-Thien Nguyen, Lukas Folle, Thomas Bayer
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Non-contrast short MRI surveillance for HCC screening: the study protocol of the SMS-HCC prospective multicenter study Eur. Radiol. Exp. Pub Date : 2024-03-12 Céline van de Braak, François E. J. A. Willemssen, Rob A. de Man, Aad van der Lugt, Carin A. Uyl-de Groot, Daniel Bos, Roy S. Dwarkasing
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Multi-b-value DWI to evaluate the synergistic antiproliferation and anti-heterogeneity effects of bufalin plus sorafenib in an orthotopic HCC model Eur. Radiol. Exp. Pub Date : 2024-03-12 Ran Guo, Fang Lu, Jiang Lin, Caixia Fu, Mengxiao Liu, Shuohui Yang
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Thin-slice reverse encoding distortion correction DWI facilitates visualization of non-functioning pituitary neuroendocrine tumor (PitNET)/pituitary adenoma and surrounding normal structures Eur. Radiol. Exp. Pub Date : 2024-03-07 Shuichi Ito, Sachi Okuchi, Yasutaka Fushimi, Sayo Otani, Krishna Pandu Wicaksono, Akihiko Sakata, Kanae Kawai Miyake, Hitomi Numamoto, Satoshi Nakajima, Hiroshi Tagawa, Masahiro Tanji, Noritaka Sano, Hiroki Kondo, Rimika Imai, Tsuneo Saga, Koji Fujimoto, Yoshiki Arakawa, Yuji Nakamoto
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Oxygen-enhanced MRI assessment of tumour hypoxia in head and neck cancer is feasible and well tolerated in the clinical setting Eur. Radiol. Exp. Pub Date : 2024-03-06 Alastair McCabe, Stewart Martin, Selene Rowe, Jagrit Shah, Paul S. Morgan, Damian Borys, Rafal Panek
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Shallow and deep learning classifiers in medical image analysis Eur. Radiol. Exp. Pub Date : 2024-03-05 Francesco Prinzi, Tiziana Currieri, Salvatore Gaglio, Salvatore Vitabile
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The environmental impact of energy consumption and carbon emissions in radiology departments: a systematic review Eur. Radiol. Exp. Pub Date : 2024-02-29 Andrea Roletto, Moreno Zanardo, Giuseppe Roberto Bonfitto, Diego Catania, Francesco Sardanelli, Simone Zanoni
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Takotsubo syndrome: left atrial and ventricular myocardial strain impairment in the subacute and convalescent phases assessed by CMR Eur. Radiol. Exp. Pub Date : 2024-02-28
Abstract Background We investigated the differences in impairment of left ventricle (LV) and left atrium (LA) contractile dysfunction between subacute and convalescent takotsubo syndrome (TTS), using myocardial strain analysis by cardiac magnetic resonance (CMR) feature-tracking technique. Methods We retrospectively selected 50 patients with TTS clinical-radiological diagnosis who underwent CMR within
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Choroid plexus volume in multiple sclerosis can be estimated on structural MRI avoiding contrast injection Eur. Radiol. Exp. Pub Date : 2024-02-27
Abstract We compared choroid plexus (ChP) manual segmentation on non-contrast-enhanced (non-CE) sequences and reference standard CE T1- weighted (T1w) sequences in 61 multiple sclerosis patients prospectively included. ChP was separately segmented on T1w, T2-weighted (T2w) fluid-attenuated inversion-recovery (FLAIR), and CE-T1w sequences. Inter-rater variability assessed on 10 subjects showed high
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Characteristics of four commonly used self-expanding biliary stents: an in vitro study Eur. Radiol. Exp. Pub Date : 2024-02-19
Abstract Background Knowledge of the characteristics of self-expanding metal stents (SEMSs) is essential during selection process to ensure the best therapeutic outcomes for patients with malignant biliary obstruction. The aim of this study was to evaluate the characteristics of four commonly used SEMSs. Methods This in vitro study analyzed the radial force (RF), crush resistance (CR), axial force
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Synthetic interpolated DSA for radiation exposure reduction via gamma variate contrast flow modeling: a retrospective cohort study Eur. Radiol. Exp. Pub Date : 2024-02-16 Andrew Abumoussa, Alex Flores, Christiana M. Cornea, Diwash Thapa, Amy Petty, Aaron Gelinne, Scott Elton, Carolyn Quinsey, Deanna Sasaki-Adams, Sten Solander, James Ho, Edward Yap, Yueh Z. Lee
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AI applications in musculoskeletal imaging: a narrative review Eur. Radiol. Exp. Pub Date : 2024-02-15 Salvatore Gitto, Francesca Serpi, Domenico Albano, Giovanni Risoleo, Stefano Fusco, Carmelo Messina, Luca Maria Sconfienza
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A deep learning approach for projection and body-side classification in musculoskeletal radiographs Eur. Radiol. Exp. Pub Date : 2024-02-14 Anna Fink, Hien Tran, Marco Reisert, Alexander Rau, Jörg Bayer, Elmar Kotter, Fabian Bamberg, Maximilian F. Russe
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Understanding ADC variation by fat content effect using a dual-function MRI phantom Eur. Radiol. Exp. Pub Date : 2024-02-13 Yi-Jui Liu, Tung-Sheng Tsai, Ya-Hui Li, Jo-Hua Peng, Hing-Chiu Chang, Hsu-Hsia Peng, Ying-Chieh Lee, Tung-Yang Lee, Chang-Hsien Liou, Tz-Feng Lin, Fatt-Yang Chew, Ruey-Hwang Chou, Chun-Jung Juan
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Artificial intelligence for assessment of vascular involvement and tumor resectability on CT in patients with pancreatic cancer Eur. Radiol. Exp. Pub Date : 2024-02-12
Abstract Objective This study aimed to develop and evaluate an automatic model using artificial intelligence (AI) for quantifying vascular involvement and classifying tumor resectability stage in patients with pancreatic ductal adenocarcinoma (PDAC), primarily to support radiologists in referral centers. Resectability of PDAC is determined by the degree of vascular involvement on computed tomography
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Cerebral MRI in a prospective cohort study on depression and atherosclerosis: the BiDirect sample, processing pipelines, and analysis tools Eur. Radiol. Exp. Pub Date : 2024-02-09 Niklas Wulms, Harald Kugel, Christian Cnyrim, Anja Tenberge, Wolfram Schwindt, Udo Dannlowski, Klaus Berger, Benedikt Sundermann, Heike Minnerup
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Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images Eur. Radiol. Exp. Pub Date : 2024-02-08 Soroosh Tayebi Arasteh, Leo Misera, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
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Empowering PET: harnessing deep learning for improved clinical insight Eur. Radiol. Exp. Pub Date : 2024-02-07
Abstract This review aims to take a journey into the transformative impact of artificial intelligence (AI) on positron emission tomography (PET) imaging. To this scope, a broad overview of AI applications in the field of nuclear medicine and a thorough exploration of deep learning (DL) implementations in cancer diagnosis and therapy through PET imaging will be presented. We firstly describe the behind-the-scenes
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Ultrasound attenuation of cortical bone correlates with biomechanical, microstructural, and compositional properties Eur. Radiol. Exp. Pub Date : 2024-02-06 Saeed Jerban, Victor Barrere, Behnam Namiranian, Yuanshan Wu, Salem Alenezi, Erik Dorthe, Darryl Dlima, Sameer B. Shah, Christine B. Chung, Jiang Du, Michael P. Andre, Eric Y. Chang
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Image annotation and curation in radiology: an overview for machine learning practitioners Eur. Radiol. Exp. Pub Date : 2024-02-06 Fabio Galbusera, Andrea Cina
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Validating the accuracy of deep learning for the diagnosis of pneumonia on chest x-ray against a robust multimodal reference diagnosis: a post hoc analysis of two prospective studies Eur. Radiol. Exp. Pub Date : 2024-02-02 Jeremy Hofmeister, Nicolas Garin, Xavier Montet, Max Scheffler, Alexandra Platon, Pierre-Alexandre Poletti, Jérôme Stirnemann, Marie-Pierre Debray, Yann-Erick Claessens, Xavier Duval, Virginie Prendki
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Sine Spin flat detector CT can improve cerebral soft tissue imaging: a retrospective in vivo study Eur. Radiol. Exp. Pub Date : 2024-02-01 Niclas Schmitt, Lena Wucherpfennig, Jessica Jesser, Ulf Neuberger, Resul Güney, Martin Bendszus, Markus A. Möhlenbruch, Dominik F. Vollherbst
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Atherosclerotic plaque features relevant to rupture-risk detected by clinical photon-counting CT ex vivo: a proof-of-concept study Eur. Radiol. Exp. Pub Date : 2024-01-30 Annelie Shami, Jiangming Sun, Chrysostomi Gialeli, Hanna Markstad, Andreas Edsfeldt, Marie-Louise Aurumskjöld, Isabel Gonçalves
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Assessing regional hepatic function changes after hypertrophy induction by radioembolisation: comparison of gadoxetic acid-enhanced MRI and 99mTc-mebrofenin hepatobiliary scintigraphy Eur. Radiol. Exp. Pub Date : 2024-01-29 Matthias P. Fabritius, Benjamin Garlipp, Osman Öcal, Daniel Puhr-Westerheide, Holger Amthauer, Thomas Geyer, Adrien Holzgreve, Jens Ricke, Dennis Kupitz, Oliver S. Grosser, Jazan Omari, Maciej Pech, Max Seidensticker, Freba Grawe, Ricarda Seidensticker
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Probing the glioma microvasculature: a case series of the comparison between perfusion MRI and intraoperative high-frame-rate ultrafast Doppler ultrasound Eur. Radiol. Exp. Pub Date : 2024-01-26 Ahmad Alafandi, Sadaf Soloukey Tbalvandany, Fatemeh Arzanforoosh, Sebastian R. van Der Voort, Fatih Incekara, Luuk Verhoef, Esther A. H. Warnert, Pieter Kruizinga, Marion Smits
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Grating-based x-ray dark-field CT for lung cancer diagnosis in mice Eur. Radiol. Exp. Pub Date : 2024-01-25
Abstract Background The low absorption of x-rays in lung tissue and the poor resolution of conventional computed tomography (CT) limits its use to detect lung disease. However, x-ray dark-field imaging can sense the scattered x-rays deflected by the structures being imaged. This technique can facilitate the detection of small alveolar lesions that would be difficult to detect with conventional CT.
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MRI for risk stratification of muscle invasion by upper tract urothelial carcinoma: a feasibility study Eur. Radiol. Exp. Pub Date : 2024-01-19 Emanuele Messina, Flavia Proietti, Ludovica Laschena, Rocco Simone Flammia, Martina Pecoraro, Stefano Cipollari, Giuseppe Simone, Carlo Catalano, Costantino Leonardo, Valeria Panebianco
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Development of a combined radiomics and CT feature-based model for differentiating malignant from benign subcentimeter solid pulmonary nodules Eur. Radiol. Exp. Pub Date : 2024-01-17 Jianing Liu, Linlin Qi, Yawen Wang, Fenglan Li, Jiaqi Chen, Shulei Cui, Sainan Cheng, Zhen Zhou, Lin Li, Jianwei Wang
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Time-of-flight and black-blood MRI to study intracranial arteries in rats Eur. Radiol. Exp. Pub Date : 2024-01-09
Abstract Intracranial aneurysms (IAs) are usually incidentally discovered by magnetic resonance imaging (MRI). Once discovered, the risk associated with their treatment must be balanced with the risk of an unexpected rupture. Although clinical observations suggest that the detection of contrast agent in the aneurysm wall using a double-inversion recovery black-blood (BB) sequence may point to IA wall
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Magnetization transfer ratio of the sciatic nerve differs between patients in type 1 and type 2 diabetes Eur. Radiol. Exp. Pub Date : 2024-01-09
Abstract Background Previous studies on magnetic resonance neurography (MRN) found different patterns of structural nerve damage in type 1 diabetes (T1D) and type 2 diabetes (T2D). Magnetization transfer ratio (MTR) is a quantitative technique to analyze the macromolecular tissue composition. We compared MTR values of the sciatic nerve in patients with T1D, T2D, and healthy controls (HC). Methods 3-T
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Cardiac-induced motion of the pancreas and its effect on image quality of ultrahigh-resolution CT Eur. Radiol. Exp. Pub Date : 2024-01-04 Thomas Wesley Holmes, Zhou Yu, Richard Thompson, John N. Oshinski, Amir Pourmorteza
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Automated pelvic MRI measurements associated with urinary incontinence for prostate cancer patients undergoing radical prostatectomy Eur. Radiol. Exp. Pub Date : 2024-01-02
Abstract Background Pelvic morphological parameters on magnetic resonance imaging (MRI), such as the membranous urethral length (MUL), can predict urinary incontinence after radical prostatectomy but are prone to interobserver disagreement. Our objective was to improve interobserver agreement among radiologists in measuring pelvic parameters using deep learning (DL)-based segmentation of pelvic structures
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A deep learning model integrating multisequence MRI to predict EGFR mutation subtype in brain metastases from non-small cell lung cancer Eur. Radiol. Exp. Pub Date : 2024-01-02 Ye Li, Xinna Lv, Cancan Chen, Ruize Yu, Bing Wang, Dawei Wang, Dailun Hou
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Endograft position and endoleak detection after endovascular abdominal aortic repair with low-field tiltable MRI: a feasibility study Eur. Radiol. Exp. Pub Date : 2023-12-21 Jordy K. van Zandwijk, Richte C. L. Schuurmann, Bennie ten Haken, Chrit M. Stassen, Robert H. Geelkerken, Jean-Paul P. M. de Vries, Frank F. J. Simonis
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Evaluation of renal ischemia–reperfusion injury using CEUS in mice Eur. Radiol. Exp. Pub Date : 2023-12-19 Zixin Xu, Xinbao Zhao, Ming Huang, Qi Liu, Libo Liu, Junjiong Zheng, Chao Fang, Wen Dong
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Comparison of ultrahigh and standard resolution photon-counting CT angiography of the femoral arteries in a continuously perfused in vitro model Eur. Radiol. Exp. Pub Date : 2023-12-18 Philipp Gruschwitz, Viktor Hartung, Süleyman Ergün, Dominik Peter, Sven Lichthardt, Henner Huflage, Robin Hendel, Pauline Pannenbecker, Anne Marie Augustin, Andreas Steven Kunz, Philipp Feldle, Thorsten Alexander Bley, Jan-Peter Grunz
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Variation in cartilage T2 and T2* mapping of the wrist: a comparison between 3- and 7-T MRI Eur. Radiol. Exp. Pub Date : 2023-12-14 Rafael Heiss, Marc-André Weber, Eva L. Balbach, Maximilian Hinsen, Frederik Geissler, Armin M. Nagel, Mark E. Ladd, Andreas Arkudas, Raymund E. Horch, Christine Gall, Michael Uder, Frank W. Roemer
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Variability of transient elastography-based spleen stiffness performed at 100 Hz Eur. Radiol. Exp. Pub Date : 2023-12-12 Angelo Armandi, Talal Merizian, Merle Marie Werner, Harvey O. Coxson, Tiziana Sanavia, Giovanni Birolo, Isabella Gashaw, Judith Ertle, Maurice Michel, Peter R. Galle, Christian Labenz, Tilman Emrich, Jörn M. Schattenberg
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Improved postprocessing of dynamic glucose-enhanced CEST MRI for imaging brain metastases at 3 T Eur. Radiol. Exp. Pub Date : 2023-12-08 Yulun Wu, Sophie H. A. E. Derks, Tobias C. Wood, Erik de Blois, Astrid A. M. van der Veldt, Marion Smits, Esther A. H. Warnert
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Deep learning-based segmentation of multisite disease in ovarian cancer Eur. Radiol. Exp. Pub Date : 2023-12-07 Thomas Buddenkotte, Leonardo Rundo, Ramona Woitek, Lorena Escudero Sanchez, Lucian Beer, Mireia Crispin-Ortuzar, Christian Etmann, Subhadip Mukherjee, Vlad Bura, Cathal McCague, Hilal Sahin, Roxana Pintican, Marta Zerunian, Iris Allajbeu, Naveena Singh, Anju Sahdev, Laura Havrilesky, David E. Cohn, Nicholas W. Bateman, Thomas P. Conrads, Kathleen M. Darcy, G. Larry Maxwell, John B. Freymann, Ozan Öktem
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Evaluation of MR-safe bioptomes for MR-guided endomyocardial biopsy in minipigs: a potential radiation-free clinical approach Eur. Radiol. Exp. Pub Date : 2023-12-05 Angelika Svetlove, Christian O. Ritter, Christian Dullin, Michael Schmid, Senta Schauer, Johannes Uihlein, Martin Uecker, Matthias Mietsch, Christine Stadelmann, Joachim Lotz, Christina Unterberg-Buchwald
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Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases Eur. Radiol. Exp. Pub Date : 2023-12-01 Nina J. Wesdorp, J. Michiel Zeeuw, Sam C. J. Postma, Joran Roor, Jan Hein T. M. van Waesberghe, Janneke E. van den Bergh, Irene M. Nota, Shira Moos, Ruby Kemna, Fijoy Vadakkumpadan, Courtney Ambrozic, Susan van Dieren, Martinus J. van Amerongen, Thiery Chapelle, Marc R. W. Engelbrecht, Michael F. Gerhards, Dirk Grunhagen, Thomas M. van Gulik, John J. Hermans, Koert P. de Jong, Joost M. Klaase, Mike
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Radiofrequency ablation induces tumor cell dissemination in a mouse model of hepatocellular carcinoma Eur. Radiol. Exp. Pub Date : 2023-11-29 Bowen Zhuang, Xi Zhu, Jinhua Lin, Fuli Zhang, Bin Qiao, Jihui Kang, Xiaohua Xie, Xunbin Wei, Xiaoyan Xie
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CT-based methods for assessment of metabolic dysfunction associated with fatty liver disease Eur. Radiol. Exp. Pub Date : 2023-11-21 Na Hu, Gang Yan, Maowen Tang, Yuhui Wu, Fasong Song, Xing Xia, Lawrence Wing-Chi Chan, Pinggui Lei
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Brainstem anatomy with 7-T MRI: in vivo assessment and ex vivo comparison Eur. Radiol. Exp. Pub Date : 2023-11-16 Graziella Donatelli, Aron Emmi, Mauro Costagli, Paolo Cecchi, Veronica Macchi, Laura Biagi, Marta Lancione, Michela Tosetti, Andrea Porzionato, Raffaele De Caro, Mirco Cosottini
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Pulmonary abnormality screening on chest x-rays from different machine specifications: a generalized AI-based image manipulation pipeline Eur. Radiol. Exp. Pub Date : 2023-11-09 Heejun Shin, Taehee Kim, Juhyung Park, Hruthvik Raj, Muhammad Shahid Jabbar, Zeleke Desalegn Abebaw, Jongho Lee, Cong Cung Van, Hyungjin Kim, Dongmyung Shin
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Thermal ablation with configurable shapes: a comprehensive, automated model for bespoke tumor treatment Eur. Radiol. Exp. Pub Date : 2023-11-07 Iwan Paolucci, Milica Bulatović, Stefan Weber, Pascale Tinguely
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Deep learning performance for detection and classification of microcalcifications on mammography Eur. Radiol. Exp. Pub Date : 2023-11-07 Filippo Pesapane, Chiara Trentin, Federica Ferrari, Giulia Signorelli, Priyan Tantrige, Marta Montesano, Crispino Cicala, Roberto Virgoli, Silvia D’Acquisto, Luca Nicosia, Daniela Origgi, Enrico Cassano
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Reconstruction of shoulder MRI using deep learning and compressed sensing: a validation study on healthy volunteers Eur. Radiol. Exp. Pub Date : 2023-10-26 Thomas Dratsch, Florian Siedek, Charlotte Zäske, Kristina Sonnabend, Philip Rauen, Robert Terzis, Robert Hahnfeldt, David Maintz, Thorsten Persigehl, Grischa Bratke, Andra Iuga
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Photon-counting detector CT-based virtual monoenergetic reconstructions: repeatability and reproducibility of radiomics features of an organic phantom and human myocardium Eur. Radiol. Exp. Pub Date : 2023-10-25 Elias V. Wolf, Lukas Müller, U. Joseph Schoepf, Nicola Fink, Joseph P. Griffith, Emese Zsarnoczay, Dhiraj Baruah, Pal Suranyi, Ismael M. Kabakus, Moritz C. Halfmann, Tilman Emrich, Akos Varga-Szemes, Jim O‘Doherty
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Functional network connectivity patterns predicting the efficacy of repetitive transcranial magnetic stimulation in the spectrum of Alzheimer’s disease Eur. Radiol. Exp. Pub Date : 2023-10-24 Haifeng Chen, Mengyun Li, Zhiming Qin, Zhiyuan Yang, Tingyu Lv, Weina Yao, Zheqi Hu, Ruomeng Qin, Hui Zhao, Feng Bai
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Diagnostic performance of short noncontrast biparametric 3-T MRI for tonsillar infections: comparison with a full protocol including contrast-enhanced sequences Eur. Radiol. Exp. Pub Date : 2023-10-24 Jari-Pekka Vierula, Janne Nurminen, Ville Jussila, Mikko Nyman, Jaakko Heikkinen, Bernd Pape, Kaarlo Sorvettula, Kimmo Mattila, Jussi Hirvonen
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AI-assisted accelerated MRI of the ankle: clinical practice assessment Eur. Radiol. Exp. Pub Date : 2023-10-20 Qiang Zhao, Jiajia Xu, Yu Xin Yang, Dan Yu, Yuqing Zhao, Qizheng Wang, Huishu Yuan
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Brain network functional connectivity changes in patients with anterior knee pain: a resting-state fMRI exploratory study Eur. Radiol. Exp. Pub Date : 2023-10-09 Vicente Sanchis-Alfonso, María Beser-Robles, Amadeo Ten-Esteve, Cristina Ramírez-Fuentes, Ángel Alberich-Bayarri, Raúl Espert, Luis García-Larrea, Luis Martí-Bonmatí
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Complexities of deep learning-based undersampled MR image reconstruction Eur. Radiol. Exp. Pub Date : 2023-10-04 Constant Richard Noordman, Derya Yakar, Joeran Bosma, Frank Frederikus Jacobus Simonis, Henkjan Huisman
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Interval between contrast administration and T1-weighted MRI for cerebral adrenoleukodystrophy: a single-case observation Eur. Radiol. Exp. Pub Date : 2023-10-02 Marco Moscatelli, Chiara Benzoni, Fabio M. Doniselli, Mattia Verri, Riccardo Pascuzzo, Domenico Aquino, Federica Mazzi, Alessandra Erbetta, Ettore Salsano