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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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Multi-modal discriminative dictionary learning for Alzheimer's disease and mild cognitive impairment

by Li, Qing, Wu, Xia, Xu, Lele, Chen, Kewei, Yao, Li, Li, Rui
Published in Computer methods and programs in biomedicine (01.10.2017)

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Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study

by Sodhi, Simrat K., Pereira, Austin, Oakley, Jonathan D., Golding, John, Trimboli, Carmelina, Russakoff, Daniel B., Choudhry, Netan
Published in PloS one (14.02.2022)

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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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Coronary fractional flow reserve derived from intravascular ultrasound imaging: Validation of a new computational method of fusion between anatomy and physiology

by Bezerra, Cristiano G., Hideo‐Kajita, Alexandre, Bulant, Carlos A., Maso‐Talou, Gonzalo D., Mariani, Jose, Pinton, Fabio A., Falcão, Breno A. A., Esteves‐Filho, Antônio, Franken, Marcelo, Feijóo, Raúl A., Kalil‐Filho, Roberto, Garcia‐Garcia, Hector M., Blanco, Pablo J., Lemos, Pedro A.
Published in Catheterization and cardiovascular interventions (01.02.2019)

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Modelling blood flow in patients with heart valve disease using deep learning: A computationally efficient method to expand diagnostic capabilities in clinical routine

by Yevtushenko, Pavlo, Goubergrits, Leonid, Franke, Benedikt, Kuehne, Titus, Schafstedde, Marie
Published in Frontiers in cardiovascular medicine (03.03.2023)

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Repurposing the Public BraTS Dataset for Postoperative Brain Tumour Treatment Response Monitoring

by Sørensen, Peter Jagd, Ladefoged, Claes Nøhr, Larsen, Vibeke Andrée, Andersen, Flemming Littrup, Nielsen, Michael Bachmann, Poulsen, Hans Skovgaard, Carlsen, Jonathan Frederik, Hansen, Adam Espe
Published in Tomography (Ann Arbor) (01.09.2024)

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Bayesian modelling of fusion diagnostics

by Fischer, R, Dinklage, A, Pasch, E
Published in Plasma physics and controlled fusion (01.07.2003)

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FNeXter: A Multi-Scale Feature Fusion Network Based on ConvNeXt and Transformer for Retinal OCT Fluid Segmentation

by Niu, Zhiyuan, Deng, Zhuo, Gao, Weihao, Bai, Shurui, Gong, Zheng, Chen, Chucheng, Rong, Fuju, Li, Fang, Ma, Lan
Published in Sensors (Basel, Switzerland) (01.04.2024)

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A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis

by Prados, Ferran, Cardoso, Manuel Jorge, Kanber, Baris, Ciccarelli, Olga, Kapoor, Raju, Gandini Wheeler-Kingshott, Claudia A.M., Ourselin, Sebastien
Published in NeuroImage (Orlando, Fla.) (01.10.2016)

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Diffusion MRI in the cortex of the brain: Reducing partial volume effects from CSF and white matter in the mean diffusivity using high b‐values and spherical b‐tensor encoding

by Säll, Cornelia, Spotorno, Nicola, Sundgren, Pia C., Westen, Danielle, Westin, Carl‐Fredrik, Szczepankiewicz, Filip, Nilsson, Markus
Published in Magnetic resonance in medicine (01.09.2025)

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Harmonizing Unets: Attention Fusion module in cascaded-Unets for low-quality OCT image fluid segmentation

by Wu, Zhuoyu, Wu, Qinchen, Fang, Wenqi, Ou, Wenhui, Wang, Quanjun, Zhang, Linde, Chen, Chao, Wang, Zheng, Li, Heshan
Published in Computers in biology and medicine (01.12.2024)

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Validation of automated artificial intelligence segmentation of optical coherence tomography images

by Maloca, Peter M., Lee, Aaron Y., de Carvalho, Emanuel R., Okada, Mali, Fasler, Katrin, Leung, Irene, Hörmann, Beat, Kaiser, Pascal, Suter, Susanne, Hasler, Pascal W., Zarranz-Ventura, Javier, Egan, Catherine, Heeren, Tjebo F. C., Balaskas, Konstantinos, Tufail, Adnan, Scholl, Hendrik P. N.
Published in PloS one (16.08.2019)

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An optimized b ‐value sampling for the quantification of interstitial fluid using diffusion‐weighted MRI , a genetic algorithm approach

by Drenthen, Gerhard S., Jansen, Jacobus F. A., van der Thiel, Merel M., Voorter, Paulien H. M., Backes, Walter H.
Published in Magnetic resonance in medicine (01.07.2023)

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Clinical utility of a patient-specific algorithm for simulating intracerebral drug infusions

by Sampson, john H., Raghavan, Raghu, Brady, Martin L., Provenzale, james M., Herndon, james E., Croteau, David, Friedman, Allan H., Reardon, David A., Coleman, R. Edward, Wong, Terence, Bigner, Darell D., Pastan, Ira, Rodríguez-Ponce, María Inmaculada, Tanner, Philipp, Puri, Raj, Pedain, Christoph
Published in Neuro-oncology (Charlottesville, Va.) (01.07.2007)

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Incorporating Radiologist Knowledge Into MRI Quality Metrics for Machine Learning Using Rank‐Based Ratings

by Tang, Chenwei, Eisenmenger, Laura B., Rivera‐Rivera, Leonardo, Huo, Eugene, Junn, Jacqueline C., Kuner, Anthony D., Oechtering, Thekla H., Peret, Anthony, Starekova, Jitka, Johnson, Kevin M.
Published in Journal of magnetic resonance imaging (01.06.2025)

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Automated CT segmentation for lower extremity tissues in lymphedema evaluation using deep learning

by Na, Seongwon, Choi, Se Jin, Ko, Yousun, Urooj, Bushra, Huh, Jimi, Cha, Seungwoo, Jung, Chul, Cheon, Hwayeong, Jeon, Jae Yong, Kim, Kyung Won
Published in European radiology (01.11.2025)

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Applications of deep learning in trauma radiology: A narrative review

by Cheng, Chi-Tung, Ooyang, Chun-Hsiang, Liao, Chien-Hung, Kang, Shih-Ching
Published in Biomedical Journal (01.02.2025)

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Spatial Fuzzy C Means and Expectation Maximization Algorithms with Bias Correction for Segmentation of MR Brain Images

by Meena Prakash, R., Shantha Selva Kumari, R.
Published in Journal of medical systems (01.01.2017)

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Fully-automated atrophy segmentation in dry age-related macular degeneration in optical coherence tomography

by Derradji, Yasmine, Mosinska, Agata, Apostolopoulos, Stefanos, Ciller, Carlos, De Zanet, Sandro, Mantel, Irmela
Published in Scientific reports (08.11.2021)

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