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A machine learning algorithm supports ultrasound-naïve novices in the acquisition of diagnostic echocardiography loops and provides accurate estimation of LVEF
Schneider, Matthias, Bartko, Philipp, Geller, Welf, Dannenberg, Varius, König, Andreas, Binder, Christina, Goliasch, Georg, Hengstenberg, Christian, Binder, Thomas
Published in International journal of cardiac imaging (01.02.2021)
Published in International journal of cardiac imaging (01.02.2021)
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Journal Article
Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results
Okuma, Tomohisa, Hamamoto, Shinichi, Maebayashi, Tetsunori, Taniguchi, Akishige, Hirakawa, Kyoko, Matsushita, Shu, Matsushita, Kazuki, Murata, Katsuko, Manabe, Takao, Miki, Yukio
Published in Japanese journal of radiology (01.10.2021)
Published in Japanese journal of radiology (01.10.2021)
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Journal Article
Deep learning algorithm in detecting intracranial hemorrhages on emergency computed tomographies
Kundisch, Almut, Hönning, Alexander, Mutze, Sven, Kreissl, Lutz, Spohn, Frederik, Lemcke, Johannes, Sitz, Maximilian, Sparenberg, Paul, Goelz, Leonie
Published in PloS one (29.11.2021)
Published in PloS one (29.11.2021)
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Journal Article
Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection
Hussain, Lal, Nguyen, Tony, Li, Haifang, Abbasi, Adeel A., Lone, Kashif J., Zhao, Zirun, Zaib, Mahnoor, Chen, Anne, Duong, Tim Q.
Published in Biomedical engineering online (25.11.2020)
Published in Biomedical engineering online (25.11.2020)
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Journal Article
Deep learning for automated segmentation of the temporomandibular joint
Vinayahalingam, Shankeeth, Berends, Bo, Baan, Frank, Moin, David Anssari, van Luijn, Rik, Bergé, Stefaan, Xi, Tong
Published in Journal of dentistry (01.05.2023)
Published in Journal of dentistry (01.05.2023)
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Journal Article
Validation of a fully automated liver segmentation algorithm using multi-scale deep reinforcement learning and comparison versus manual segmentation
Winkel, David J., Weikert, Thomas J., Breit, Hanns-Christian, Chabin, Guillaume, Gibson, Eli, Heye, Tobias J., Comaniciu, Dorin, Boll, Daniel T.
Published in European journal of radiology (01.05.2020)
Published in European journal of radiology (01.05.2020)
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Journal Article
Development and routine implementation of deep learning algorithm for automatic brain metastases segmentation on MRI for RANO-BM criteria follow-up
Dessoude, Loïse, Lemaire, Raphaëlle, Andres, Romain, Leleu, Thomas, Leclercq, Alexandre G., Desmonts, Alexis, Corroller, Typhaine, Orou-Guidou, Amirath Fara, Laduree, Luca, Henaff, Loic Le, Lacroix, Joëlle, Lechervy, Alexis, Stefan, Dinu, Corroyer-Dulmont, Aurélien
Published in NeuroImage (Orlando, Fla.) (01.02.2025)
Published in NeuroImage (Orlando, Fla.) (01.02.2025)
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Journal Article
Characterizing the Impact of Training Data on Generalizability: Application in Deep Learning to Estimate Lung Nodule Malignancy Risk
Obreja, Bogdan, Bosma, Joeran, Venkadesh, Kiran Vaidhya, Saghir, Zaigham, Prokop, Mathias, Jacobs, Colin
Published in Radiology. Artificial intelligence (01.11.2025)
Published in Radiology. Artificial intelligence (01.11.2025)
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Journal Article
Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis
Guaricci, Andrea I., Rabbat, Mark G., Pontone, Gianluca, Baggiano, Andrea, Guglielmo, Marco, Scafuri, Stefano, Chiesa, Mattia, De Cecco, Carlo N., Tesche, Christian, Van Assen, Marly, Muscogiuri, Giuseppe, Fusini, Laura
Published in BioMed research international (2020)
Published in BioMed research international (2020)
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Journal Article
Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features
Bernatz, Simon, Ackermann, Jörg, Mandel, Philipp, Kaltenbach, Benjamin, Zhdanovich, Yauheniya, Harter, Patrick N., Döring, Claudia, Hammerstingl, Renate, Bodelle, Boris, Smith, Kevin, Bucher, Andreas, Albrecht, Moritz, Rosbach, Nicolas, Basten, Lajos, Yel, Ibrahim, Wenzel, Mike, Bankov, Katrin, Koch, Ina, Chun, Felix K.-H., Köllermann, Jens, Wild, Peter J., Vogl, Thomas J.
Published in European radiology (01.12.2020)
Published in European radiology (01.12.2020)
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Journal Article
Radiomics machine learning algorithm facilitates detection of small pancreatic neuroendocrine tumors on CT
Lopez-Ramirez, Felipe, Soleimani, Sahar, Azadi, Javad R., Sheth, Sheila, Kawamoto, Satomi, Javed, Ammar A., Tixier, Florent, Hruban, Ralph H., Fishman, Elliot K., Chu, Linda C.
Published in Diagnostic and interventional imaging (01.01.2025)
Published in Diagnostic and interventional imaging (01.01.2025)
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Journal Article
Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual
Lei, Du, Pinaya, Walter H. L., Young, Jonathan, Amelsvoort, Therese, Marcelis, Machteld, Donohoe, Gary, Mothersill, David O., Corvin, Aiden, Vieira, Sandra, Huang, Xiaoqi, Lui, Su, Scarpazza, Cristina, Arango, Celso, Bullmore, Ed, Gong, Qiyong, McGuire, Philip, Mechelli, Andrea
Published in Human brain mapping (01.04.2020)
Published in Human brain mapping (01.04.2020)
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Journal Article
Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement
Wang, Tao, Song, Na, Liu, Lingling, Zhu, Zichao, Chen, Bing, Yang, Wenjun, Chen, Zhiqiang
Published in BMC medical imaging (13.08.2021)
Published in BMC medical imaging (13.08.2021)
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Journal Article
Development and validation of a deep learning algorithm for auto-delineation of clinical target volume and organs at risk in cervical cancer radiotherapy
Liu, Zhikai, Liu, Xia, Guan, Hui, Zhen, Hongan, Sun, Yuliang, Chen, Qi, Chen, Yu, Wang, Shaobin, Qiu, Jie
Published in Radiotherapy and oncology (01.12.2020)
Published in Radiotherapy and oncology (01.12.2020)
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Journal Article
Evaluation of machine learning algorithms and structural features for optimal MRI-based diagnostic prediction in psychosis
Salvador, Raymond, Radua, Joaquim, Canales-Rodríguez, Erick J., Solanes, Aleix, Sarró, Salvador, Goikolea, José M., Valiente, Alicia, Monté, Gemma C., Natividad, María del Carmen, Guerrero-Pedraza, Amalia, Moro, Noemí, Fernández-Corcuera, Paloma, Amann, Benedikt L., Maristany, Teresa, Vieta, Eduard, McKenna, Peter J., Pomarol-Clotet, Edith
Published in PloS one (20.04.2017)
Published in PloS one (20.04.2017)
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Journal Article
How to evaluate deep learning for cancer diagnostics – factors and recommendations
Daneshjou, Roxana, He, Bryan, Ouyang, David, Zou, James Y
Published in Biochimica et biophysica acta. Reviews on cancer (01.04.2021)
Published in Biochimica et biophysica acta. Reviews on cancer (01.04.2021)
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Journal Article
A Hybrid Human–Machine Learning Approach for Screening Prostate Biopsies Can Improve Clinical Efficiency Without Compromising Diagnostic Accuracy
Dov, David, Assaad, Serge, Syedibrahim, Ameer, Bell, Jonathan, Huang, Jiaoti, Madden, John, Bentley, Rex, McCall, Shannon, Henao, Ricardo, Carin, Lawrence, Foo, Wen-Chi
Published in Archives of pathology & laboratory medicine (1976) (01.06.2022)
Published in Archives of pathology & laboratory medicine (1976) (01.06.2022)
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Journal Article
Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography
Verhelst, Pieter-Jan, Smolders, Andreas, Beznik, Thomas, Meewis, Jeroen, Vandemeulebroucke, Arne, Shaheen, Eman, Van Gerven, Adriaan, Willems, Holger, Politis, Constantinus, Jacobs, Reinhilde
Published in Journal of dentistry (01.11.2021)
Published in Journal of dentistry (01.11.2021)
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Journal Article