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Deep Learning–Based ASPECTS Algorithm Enhances Reader Performance and Reduces Interpretation Time

by Ayobi, Angela, Davis, Adam, Chang, Peter D., Chow, Daniel S., Nael, Kambiz, Tassy, Maxime, Quenet, Sarah, Fogola, Sylvain, Shabe, Peter, Fussell, David, Avare, Christophe, Chaibi, Yasmina
Published in American journal of neuroradiology : AJNR (04.03.2025)

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Transfer learning for DL‐based Synthetic CT after reconstruction algorithm upgrade in a proton therapy clinic

by Galapon, Arthur, Wagenaar, Dirk, Langendijk, Johannes Albertus, Both, Stefan
Published in Medical physics (Lancaster) (01.07.2025)

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Comparing machine and deep learning‐based algorithms for prediction of clinical improvement in psychosis with functional magnetic resonance imaging

by Smucny, Jason, Davidson, Ian, Carter, Cameron S.
Published in Human brain mapping (01.03.2021)

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Visualizing Preosteoarthritis: Updates on UTE‐Based Compositional MRI and Deep Learning Algorithms

by Sun, Dong, Wu, Gang, Zhang, Wei, Gharaibeh, Nadeer M., Li, Xiaoming
Published in Journal of magnetic resonance imaging (01.07.2025)

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Development of a deep learning algorithm for Paneth cell density quantification for inflammatory bowel disease

by Kang, Liang-I, Sarullo, Kathryn, Marsh, Jon N., Lu, Liang, Khonde, Pooja, Ma, Changqing, Haritunians, Talin, Mujukian, Angela, Mengesha, Emebet, McGovern, Dermot P.B., Stappenbeck, Thaddeus S., Swamidass, S. Joshua, Liu, Ta-Chiang
Published in EBioMedicine (01.12.2024)

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Impact of Emerging Deep Learning–Based MR Image Reconstruction Algorithms on Abdominal MRI Radiomic Features

Published in Journal of computer assisted tomography (01.11.2024)

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Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis

by Islam, Md Mohaimenul, Yang, Hsuan-Chia, Poly, Tahmina Nasrin, Jian, Wen-Shan, (Jack) Li, Yu-Chuan
Published in Computer methods and programs in biomedicine (01.07.2020)

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Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study

by Xu, Lixue, He, Yi, Luo, Nan, Guo, Ning, Hong, Min, Jia, Xibin, Wang, Zhenchang, Yang, Zhenghan
Published in Frontiers in cardiovascular medicine (05.11.2021)

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Evaluation of a deep learning-based reconstruction method for denoising and image enhancement of shoulder MRI in patients with shoulder pain

by Feuerriegel, Georg C., Weiss, Kilian, Kronthaler, Sophia, Leonhardt, Yannik, Neumann, Jan, Wurm, Markus, Lenhart, Nicolas S., Makowski, Marcus R., Schwaiger, Benedikt J., Woertler, Klaus, Karampinos, Dimitrios C., Gersing, Alexandra S.
Published in European radiology (01.07.2023)

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Deep learning algorithms for melanoma detection using dermoscopic images: A systematic review and meta-analysis

by Ye, Zichen, Zhang, Daqian, Zhao, Yuankai, Chen, Mingyang, Wang, Huike, Seery, Samuel, Qu, Yimin, Xue, Peng, Jiang, Yu
Published in Artificial intelligence in medicine (01.09.2024)

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Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study

by Jang, Se Bum, Lee, Suk Hee, Lee, Dong Eun, Park, Sin-Youl, Kim, Jong Kun, Cho, Jae Wan, Cho, Jaekyung, Kim, Ki Beom, Park, Byunggeon, Park, Jongmin, Lim, Jae-Kwang
Published in PloS one (24.11.2020)

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A Veterinary DICOM‐Based Deep Learning Denoising Algorithm Can Improve Subjective and Objective Brain MRI Image Quality

by Mai, Wilfried, Hecht, Silke, Paek, Matthew, Holmes, Shannon P., Dorez, Hugo, Blanchard, Martin, Eddin, Jamil Nour
Published in Veterinary radiology & ultrasound (01.03.2025)

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Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: an early failure detection diagnostic service

by Shahin, Mohammad, Chen, F. Frank, Hosseinzadeh, Ali, Zand, Neda
Published in International journal of advanced manufacturing technology (01.10.2023)

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A New Deep Learning Algorithm for Detecting Spinal Metastases on Computed Tomography Images

Published in Spine (Philadelphia, Pa. 1976) (15.03.2024)

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Diagnostic accuracy of convolutional neural network–based machine learning algorithms in endoscopic severity prediction of ulcerative colitis: a systematic review and meta-analysis

by Jahagirdar, Vinay, Bapaye, Jay, Chandan, Saurabh, Ponnada, Suresh, Kochhar, Gursimran S., Navaneethan, Udayakumar, Mohan, Babu P.
Published in Gastrointestinal endoscopy (01.08.2023)

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Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis

by Liu, Peiru, Sun, Ying, Zhao, Xinzhuo, Yan, Ying
Published in Biomedical engineering online (01.11.2023)

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MRI classification of progressive supranuclear palsy, Parkinson disease and controls using deep learning and machine learning algorithms for the identification of regions and tracts of interest as potential biomarkers

by Volkmann, Heiko, Höglinger, Günter U., Grön, Georg, Bârlescu, Lavinia A., Müller, Hans-Peter, Kassubek, Jan
Published in Computers in biology and medicine (01.02.2025)

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Establish a normal fetal lung gestational age grading model and explore the potential value of deep learning algorithms in fetal lung maturity evaluation

by Xia, Tai-Hui, Tan, Man, Li, Jing-Hua, Wang, Jing-Jing, Wu, Qing-Qing, Kong, De-Xing
Published in Chinese medical journal (01.07.2021)

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Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method

by Shimazaki, Akitoshi, Ueda, Daiju, Choppin, Antoine, Yamamoto, Akira, Honjo, Takashi, Shimahara, Yuki, Miki, Yukio
Published in Scientific reports (14.01.2022)

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Automatic Pulmonary Nodule Detection Applying Deep Learning or Machine Learning Algorithms to the LIDC-IDRI Database: A Systematic Review

by Pehrson, Lea Marie, Nielsen, Michael Bachmann, Ammitzbøl Lauridsen, Carsten
Published in Diagnostics (Basel) (07.03.2019)

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