An emotion recognition embedded system using a lightweight deep learning model von Bazargani, Mehdi, Tahmasebi, Amir, Yazdchi, Mohammadreza, Baharlouei, Zahra

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Is the link between anatomical structure and function equally strong at all cognitive levels of processing? von Tahmasebi, Amir M, Davis, Matthew H, Wild, Conor J, Rodd, Jennifer M, Hakyemez, Hélène, Abolmaesumi, P, Johnsrude, Ingrid S

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An Empirical Study on Machine Learning Model Calibration for Chest Radiograph Triage von YAO, Li, OLATUNJI, Tobi, LAMARE, Jean-Baptiste, JADHAV, Ashwin, TAHMASEBI, Amir

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Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning von Tahmasebi, Amir M., Zhu, Henghui, Mankovich, Gabriel, Prinsen, Peter, Klassen, Prescott, Pilato, Sam, van Ommering, Rob, Patel, Pritesh, Gunn, Martin L., Chang, Paul

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Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection von Azizi, Shekoofeh, Mousavi, Parvin, Yan, Pingkun, Tahmasebi, Amir, Kwak, Jin Tae, Xu, Sheng, Turkbey, Baris, Choyke, Peter, Pinto, Peter, Wood, Bradford, Abolmaesumi, Purang

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Creating probabilistic maps of the face network in the adolescent brain: A multicentre functional MRI study von Tahmasebi, Amir M., Artiges, Eric, Banaschewski, Tobias, Barker, Gareth J., Bruehl, Ruediger, Büchel, Christian, Conrod, Patricia J., Flor, Herta, Garavan, Hugh, Gallinat, Jürgen, Heinz, Andreas, Ittermann, Bernd, Loth, Eva, Mareckova, Klara, Martinot, Jean-Luc, Poline, Jean-Baptiste, Rietschel, Marcella, Smolka, Michael N., Ströhle, Andreas, Schumann, Gunter, Paus, Tomáš

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Reducing inter-subject anatomical variation: Effect of normalization method on sensitivity of functional magnetic resonance imaging data analysis in auditory cortex and the superio... von Tahmasebi, Amir M., Abolmaesumi, Purang, Zheng, Zane Z., Munhall, Kevin G., Johnsrude, Ingrid S.

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A validation framework for probabilistic maps using Heschl's gyrus as a model von Tahmasebi, Amir M., Abolmaesumi, Purang, Wild, Conor, Johnsrude, Ingrid S.

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Fusion analysis of first episode depression: where brain shape deformations meet local composition of tissue von Ramezani, Mahdi, Abolmaesumi, Purang, Tahmasebi, Amir, Bosma, Rachael, Tong, Ryan, Hollenstein, Tom, Harkness, Kate, Johnsrude, Ingrid

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Experimental Identification and Analysis of the Dynamics of a PHANToM Premium 1.5A Haptic Device von Taati, Babak, Tahmasebi, Amir M., Hashtrudi-Zaad, Keyvan

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A Framework for the Design of a Novel Haptic-Based Medical Training Simulator von Tahmasebi, A.M., Hashtrudi-Zaad, K., Thompson, D., Abolmaesumi, P.

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Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound von Azizi, Shekoofeh, Bayat, Sharareh, Yan, Pingkun, Tahmasebi, Amir, Kwak, Jin Tae, Xu, Sheng, Turkbey, Baris, Choyke, Peter, Pinto, Peter, Wood, Bradford, Mousavi, Parvin, Abolmaesumi, Purang

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Neuropsychosocial profiles of current and future adolescent alcohol misusers von Whelan, Robert, Watts, Richard, Orr, Catherine A., Althoff, Robert R., Artiges, Eric, Banaschewski, Tobias, Barker, Gareth J., Bokde, Arun L. W., Büchel, Christian, Carvalho, Fabiana M., Conrod, Patricia J., Flor, Herta, Fauth-Bühler, Mira, Frouin, Vincent, Gallinat, Juergen, Gan, Gabriela, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Lawrence, Claire, Mann, Karl, Martinot, Jean-Luc, Nees, Frauke, Ortiz, Nick, Paillère-Martinot, Marie-Laure, Paus, Tomas, Pausova, Zdenka, Rietschel, Marcella, Robbins, Trevor W., Smolka, Michael N., Ströhle, Andreas, Schumann, Gunter, Garavan, Hugh

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The IMAGEN study: a decade of imaging genetics in adolescents von Mascarell Maričić, Lea, Walter, Henrik, Rosenthal, Annika, Ripke, Stephan, Quinlan, Erin Burke, Banaschewski, Tobias, Barker, Gareth J., Bokde, Arun L. W., Bromberg, Uli, Büchel, Christian, Desrivières, Sylvane, Flor, Herta, Frouin, Vincent, Garavan, Hugh, Itterman, Bernd, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Poustka, Luise, Hohmann, Sarah, Smolka, Michael N., Fröhner, Juliane H., Whelan, Robert, Kaminski, Jakob, Schumann, Gunter, Heinz, Andreas

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The initiation of cannabis use in adolescence is predicted by sex‐specific psychosocial and neurobiological features von Spechler, Philip A., Allgaier, Nicholas, Chaarani, Bader, Whelan, Robert, Watts, Richard, Orr, Catherine, Albaugh, Matthew D., D'Alberto, Nicholas, Higgins, Stephen T., Hudson, Kelsey E., Mackey, Scott, Potter, Alexandra, Banaschewski, Tobias, Bokde, Arun L. W., Bromberg, Uli, Büchel, Christian, Cattrell, Anna, Conrod, Patricia J., Desrivières, Sylvane, Flor, Herta, Frouin, Vincent, Gallinat, Jürgen, Gowland, Penny, Heinz, Andreas, Ittermann, Bernd, Martinot, Jean‐Luc, Paillère Martinot, Marie‐Laure, Nees, Frauke, Papadopoulos Orfanos, Dimitri, Paus, Tomáš, Poustka, Luise, Smolka, Michael N., Walter, Henrik, Schumann, Gunter, Althoff, Robert R., Garavan, Hugh, Mann, Karl, Struve, Maren, Rietschel, Marcella, Spanagel, Rainer, Fauth‐Bühler, Mira, Millenet, Sabina, Grimmer, Yvonne, Ivanov, Nikolay, Strache, Nicole, Rapp, Michael, Ströhle, Andreas, Reuter, Jan, Barbot, Alexis, Thyreau, Benjamin, Schwartz, Yannick, Lalanne, Christophe, Bricaud, Zuleima, Briand, Fanny, Lemaitre, Hervé, Massicotte, Jessica, Vulser, Helene, Pentillä, Jani, Galinowski, André, Jia, Tianye, Werts, Helen, Topper, Lauren, Reed, Laurence, Andrew, Chris, Mallik, Catherine, Ruggeri, Barbara, Nymberg, Charlotte, Smith, Lindsay, Loth, Eva, Havatzias, Stephanie, Stueber, Kerstin, Stringaris, Argyris, Brühl, Ruediger, Ihlenfeld, Albrecht, Walaszek, Bernadeta, Hübner, Thomas, Müller, Kathrin, Ripke, Stephan, Rodehacke, Sarah, Mennigen, Eva, Schmidt, Dirk, Vetter, Nora, Ziesch, Veronika, Poline, Jean‐Baptiste, Fadai, Tahmine, Yacubian, Juliana, Lawrence, Claire, Newman, Craig, Head, Kay, Heym, Nadja, Pausova, Zdenka, Tahmasebi, Amir

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Classification of Pulmonary Nodular Findings based on Characterization of Change using Radiology Reports von Yuan, Jianbo, Zhu, Henghui, Tahmasebi, Amir

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Towards radiologist-level cancer risk assessment in CT lung screening using deep learning von Trajanovski, Stojan, Mavroeidis, Dimitrios, Swisher, Christine Leon, Gebre, Binyam Gebrekidan, Veeling, Bastiaan S., Wiemker, Rafael, Klinder, Tobias, Tahmasebi, Amir, Regis, Shawn M., Wald, Christoph, McKee, Brady J., Flacke, Sebastian, MacMahon, Heber, Pien, Homer

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Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study von Azizi, Shekoofeh, Imani, Farhad, Ghavidel, Sahar, Tahmasebi, Amir, Kwak, Jin Tae, Xu, Sheng, Turkbey, Baris, Choyke, Peter, Pinto, Peter, Wood, Bradford, Mousavi, Parvin, Abolmaesumi, Purang

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Investigation of Physical Phenomena Underlying Temporal-Enhanced Ultrasound as a New Diagnostic Imaging Technique: Theory and Simulations von Bayat, Sharareh, Azizi, Shekoofeh, Daoud, Mohammad I., Nir, Guy, Imani, Farhad, Gerardo, Carlos D., Pingkun Yan, Tahmasebi, Amir, Vignon, Francois, Sojoudi, Samira, Wilson, Storey, Iczkowski, Kenneth A., Lucia, M. Scott, Goldenberg, Larry, Salcudean, Septimiu E., Abolmaesumi, Purang, Mousavi, Parvin

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A fully automatic solution for structuring prostate pathology reports von Prinsen, Peter, van Ommering, Robbert, Janssen, Marco, Loos, Marc, Tahmasebi, Amir, Thompson, Scott, Coons, Samuel, Vincent, Per Henrik, Lindh, Claes, Akre, Olof, Rastinehad, Ardeshir, Mynderse, Lance A, Chang, Paul J

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