Combined behavioral and electrophysiological evidence for a direct cortical effect of prefrontal tDCS on disorders of consciousness von Hermann, Bertrand, Raimondo, Federico, Hirsch, Lukas, Huang, Yu, Denis-Valente, Mélanie, Pérez, Pauline, Engemann, Denis, Faugeras, Frédéric, Weiss, Nicolas, Demeret, Sophie, Rohaut, Benjamin, Parra, Lucas C., Sitt, Jacobo D., Naccache, Lionel

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Semantic novelty modulates neural responses to visual change across the human brain von Nentwich, Maximilian, Leszczynski, Marcin, Russ, Brian E., Hirsch, Lukas, Markowitz, Noah, Sapru, Kaustubh, Schroeder, Charles E., Mehta, Ashesh D., Bickel, Stephan, Parra, Lucas C.

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Combined behavioral and electrophysiological evidence for a direct cortical effect of prefrontal tDCS on disorders of consciousness von Hermann, Bertrand, Raimondo, Federico, Hirsch, Lukas, Huang, Yu, Valente, Mélanie, Pérez, Pauline, Engemann, Denis, Faugeras, Frédéric, Weiss, Nicolas, Demeret, Sophie, Rohaut, Benjamin, Parra, Lucas, Sitt, Jacobo Diego, Naccache, Lionel

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Early Detection of Breast Cancer in MRI Using AI von Hirsch, Lukas, Huang, Yu, Makse, Hernan A., Martinez, Danny F., Hughes, Mary, Eskreis-Winkler, Sarah, Pinker, Katja, Morris, Elizabeth A., Parra, Lucas C., Sutton, Elizabeth J.

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Segmentation of MRI head anatomy using deep volumetric networks and multiple spatial priors von Hirsch, Lukas, Huang, Yu, Parra, Lucas C

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Cross-site Validation of AI Segmentation and Harmonization in Breast MRI von Huang, Yu, Leotta, Nicholas J, Hirsch, Lukas, Gullo, Roberto Lo, Hughes, Mary, Reiner, Jeffrey, Saphier, Nicole B, Myers, Kelly S, Panigrahi, Babita, Ambinder, Emily, Di Carlo, Philip, Grimm, Lars J, Lowell, Dorothy, Yoon, Sora, Ghate, Sujata V, Parra, Lucas C, Sutton, Elizabeth J

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Radiologist-Level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans von Hirsch, Lukas, Huang, Yu, Luo, Shaojun, Rossi Saccarelli, Carolina, Lo Gullo, Roberto, Daimiel Naranjo, Isaac, Bitencourt, Almir G V, Onishi, Natsuko, Ko, Eun Sook, Leithner, Doris, Avendano, Daly, Eskreis-Winkler, Sarah, Hughes, Mary, Martinez, Danny F, Pinker, Katja, Juluru, Krishna, El-Rowmeim, Amin E, Elnajjar, Pierre, Morris, Elizabeth A, Makse, Hernan A, Parra, Lucas C, Sutton, Elizabeth J

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Segmentation of MRI head anatomy using deep volumetric networks and multiple spatial priors von Hirsch, Lukas, Huang, Yu, Parra, Lucas C

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Predicting breast cancer with AI for individual risk-adjusted MRI screening and early detection von Hirsch, Lukas, Huang, Yu, Makse, Hernan A, Martinez, Danny F, Hughes, Mary, Eskreis-Winkler, Sarah, Pinker, Katja, Morris, Elizabeth, Parra, Lucas C, Sutton, Elizabeth J

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Predicting breast cancer with AI for individual risk-adjusted MRI screening and early detection von Hirsch, Lukas, Huang, Yu, Makse, Hernan A, Martinez, Danny F, Hughes, Mary, Eskreis-Winkler, Sarah, Pinker, Katja, Morris, Elizabeth, Parra, Lucas C, Sutton, Elizabeth J

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Segmentation of MRI head anatomy using deep volumetric networks and multiple spatial priors von Hirsch, Lukas, Huang, Yu, Parra, Lucas C

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Predicting breast cancer with AI for individual risk-adjusted MRI screening and early detection von Hirsch, Lukas, Huang, Yu, Makse, Hernan A, Martinez, Danny F, Hughes, Mary, Eskreis-Winkler, Sarah, Pinker, Katja, Morris, Elizabeth, Parra, Lucas C, Sutton, Elizabeth J

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[WITHDRAWN] Predicting breast cancer with AI for individual risk-adjusted MRI screening and early detection von Hirsch, Lukas, Huang, Yu, Makse, Hernan A, Martinez, Danny F, Hughes, Mary, Eskreis-Winkler, Sarah, Pinker, Katja, Morris, Elizabeth, Parra, Lucas C, Sutton, Elizabeth J

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Radiologist-level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans von Hirsch, Lukas, Huang, Yu, Luo, Shaojun, Carolina Rossi Saccarelli, Roberto Lo Gullo, Naranjo, Isaac Daimiel, Almir G V Bitencourt, Onishi, Natsuko, Ko, Eun Sook, Leithner, Doris, Daly Avendano, Eskreis-Winkler, Sarah, Hughes, Mary, Martinez, Danny F, Pinker, Katja, Juluru, Krishna, El-Rowmeim, Amin E, Elnajjar, Pierre, Morris, Elizabeth A, Makse, Hernan A, Parra, Lucas C, Sutton, Elizabeth J

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Articulated display for vehicle von HIRSCH LUKAS, HARMON, MATTHEW, J, TAJMAHAR HAKAN Z, SCOTT CULVER ANDERSON

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PD-L1 Immunohistochemistry Comparability Study in Real-Life Clinical Samples: Results of Blueprint Phase 2 Project von Tsao, Ming Sound, Kerr, Keith M., Kockx, Mark, Beasley, Mary-Beth, Borczuk, Alain C., Botling, Johan, Bubendorf, Lukas, Chirieac, Lucian, Chen, Gang, Chou, Teh-Ying, Chung, Jin-Haeng, Dacic, Sanja, Lantuejoul, Sylvie, Mino-Kenudson, Mari, Moreira, Andre L., Nicholson, Andrew G., Noguchi, Masayuki, Pelosi, Giuseppe, Poleri, Claudia, Russell, Prudence A., Sauter, Jennifer, Thunnissen, Erik, Wistuba, Ignacio, Yu, Hui, Wynes, Murry W., Pintilie, Melania, Yatabe, Yasushi, Hirsch, Fred R.

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Quantitative Determination and Comparison of the Surface Binding of Phosphonic Acid, Carboxylic Acid, and Catechol Ligands on TiO2 Nanoparticles von Zeininger, Lukas, Portilla, Luis, Halik, Marcus, Hirsch, Andreas

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Health economic benefits through the use of diagnostic support systems and expert knowledge von Willmen, Tina, Voelkel, Lukas, Ronicke, Simon, Hirsch, Martin C., Kaufeld, Jessica, Rychlik, Reinhard P., Wagner, Annette D.

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Advances in Understanding of the Copper Homeostasis in Pseudomonas aeruginosa von Hofmann, Lukas, Hirsch, Melanie, Ruthstein, Sharon

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Current challenges in nanomaterial-based sensors for online monitoring of drinking water by surface plasmon resonance von Wunderlich, Lukas, Hirsch, Thomas

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