Wound behavior in dystrophic epidermolysis bullosa: A retrospective natural history case series von La, Tatum, Chen, Hubert, Chen, Shijie, Bagci, I. Sinem, Sridhar, Kunju, Uche, Alexander, Momin, Neha, Krishnan, Suma, Marinkovich, M. Peter

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A convolutional neural network for the screening and staging of diabetic retinopathy von Shaban, Mohamed, Ogur, Zeliha, Mahmoud, Ali, Switala, Andrew, Shalaby, Ahmed, Abu Khalifeh, Hadil, Ghazal, Mohammed, Fraiwan, Luay, Giridharan, Guruprasad, Sandhu, Harpal, El-Baz, Ayman S.

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Collagen VII’s Dual Mesenchymal and Epithelial Origins: Implications for Molecular Corrective Therapies von Bagci, I. Sinem, Gurevich, Irina, Dolorito, John A., Tripathi, Pragya, Momin, Neha S., Sun, Angela, La, Tatum, Sridhar, Kunju, Marinkovich, M. Peter

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Ex vivo confocal laser scanning microscopy for bullous pemphigoid diagnostics: new era in direct immunofluorescence? von Bağcı, I.S., Aoki, R., Krammer, S., Ruzicka, T., Sárdy, M., French, L.E., Hartmann, D.

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Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models von Haft-Javaherian, Mohammad, Fang, Linjing, Muse, Victorine, Schaffer, Chris B, Nishimura, Nozomi, Sabuncu, Mert R

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Accelerated coronary MRI with sRAKI: A database-free self-consistent neural network k-space reconstruction for arbitrary undersampling von Hosseini, Seyed Amir Hossein, Zhang, Chi, Weingaertner, Sebastian, Moeller, Steen, Stuber, Matthias, Ugurbil, Kamil, Akcakaya, Mehmet

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Supervised and unsupervised language modelling in Chest X-Ray radiological reports von Drozdov, Ignat, Forbes, Daniel, Szubert, Benjamin, Hall, Mark, Carlin, Chris, Lowe, David J.

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Deep learning of cuneiform sign detection with weak supervision using transliteration alignment von Dencker, Tobias, Klinkisch, Pablo, Maul, Stefan M., Ommer, Bjoern

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Using Quantum Confinement to Uniquely Identify Devices von Roberts, J., Bagci, I. E., Zawawi, M. A. M., Sexton, J., Hulbert, N., Noori, Y. J., Young, M. P., Woodhead, C. S., Missous, M., Migliorato, M. A., Roedig, U., Young, R. J.

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Improved detection of air trapping on expiratory computed tomography using deep learning von Ram, Sundaresh, Hoff, Benjamin A., Bell, Alexander J., Galban, Stefanie, Fortuna, Aleksa B., Weinheimer, Oliver, Wielputz, Mark O., Robinson, Terry E., Newman, Beverley, Vummidi, Dharshan, Chughtai, Aamer, Kazerooni, Ella A., Johnson, Timothy D., Han, MeiLan K., Hatt, Charles R., Galban, Craig J.

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Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk von Wetstein, Suzanne C., Onken, Allison M., Luffman, Christina, Baker, Gabrielle M., Pyle, Michael E., Kensler, Kevin H., Liu, Ying, Bakker, Bart, Vlutters, Ruud, van Leeuwen, Marinus B., Collins, Laura C., Schnitt, Stuart J., Pluim, Josien P. W., Tamimi, Rulla M., Heng, Yujing J., Veta, Mitko

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The correlation between the MRI-evaluated ectopic fat accumulation and the incidence of diabetes mellitus and hypertension depends on body mass index and waist circumference ratio von Pienkowska, Joanna, Brzeska, Beata, Kaszubowski, Mariusz, Kozak, Oliwia, Jankowska, Anna, Szurowska, Edyta

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Machine learning prediction of combat basic training injury from 3D body shape images von Morse, Steven, Talty, Kevin, Kuiper, Patrick, Scioletti, Michael, Heymsfield, Steven B., Atkinson, Richard L., Thomas, Diana M.

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Effects of alterations in positron emission tomography imaging parameters on radiomics features von Ger, Rachel B, Meier, Joseph G, Pahlka, Raymond B, Gay, Skylar, Mumme, Raymond, Fuller, Clifton D, Li, Heng, Howell, Rebecca M, Layman, Rick R, Stafford, R Jason, Zhou, Shouhao, Mawlawi, Osama, Court, Laurence E

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Optimized fast GPU implementation of robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction von Zhang, Chi, Hosseini, Seyed Amir Hossein, Weingärtner, Sebastian, Uǧurbil, Kâmil, Moeller, Steen, Akçakaya, Mehmet

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Crowdsourcing airway annotations in chest computed tomography images von Cheplygina, Veronika, Perez-Rovira, Adria, Kuo, Wieying, Tiddens, Harm A. W. M., de Bruijne, Marleen

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Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment von Cao, Jianfang, Wang, Min, Li, Yanfei, Zhang, Qi

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Quantifying the incremental value of deep learning: Application to lung nodule detection von Warsavage, Theodore, Xing, Fuyong, Baron, Anna E., Feser, William J., Hirsch, Erin, Miller, York E., Malkoski, Stephen, Wolf, Holly J., Wilson, David O., Ghosh, Debashis

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Heterogeneity Diffusion Imaging of gliomas: Initial experience and validation von Wang, Qing, Pérez-Carrillo, Gloria J Guzmán, Ponisio, Maria Rosana, LaMontagne, Pamela, Dahiya, Sonika, Marcus, Daniel S, Milchenko, Mikhail, Shimony, Joshua, Liu, Jingxia, Chen, Gengsheng, Salter, Amber, Massoumzadeh, Parinaz, Miller-Thomas, Michelle M, Rich, Keith M, McConathy, Jonathan, Benzinger, Tammie L S, Wang, Yong

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Predicting all-cause and lung cancer mortality using emphysema score progression rate between baseline and follow-up chest CT images: A comparison of risk model performances von Schreuder, Anton, Jacobs, Colin, Gallardo-Estrella, Leticia, Prokop, Mathias, Schaefer-Prokop, Cornelia M, van Ginneken, Bram

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