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6. Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department

Author

Fraser, Clare L., Micieli, Jonathan A., Costello, Fiona, Bénard-Séguin, Étienne, Yang, Hui, Chan, Carmen Kar Mun, Cheung, Carol Y, Chan, Noel CY, Hamann, Steffen, Gohier, Philippe, Vautier, Anaïs, Rougier, Marie-Bénédicte, Chiquet, Christophe, Vignal-Clermont, Catherine, Hage, Rabih, Khanna, Raoul Kanav, Tran, Thi Ha Chau, Lagrèze, Wolf Alexander, Jonas, Jost B, Ambika, Selvakumar, Fard, Masoud Aghsaei, La Morgia, Chiara, Carbonelli, Michele, Barboni, Piero, Carelli, Valerio, Romagnoli, Martina, Amore, Giulia, Nakamura, Makoto, Fumio, Takano, Petzold, Axel, Wenniger lj, Maillette de Buy, Kho, Richard, Fonseca, Pedro L., Bikbov, Mukharram M., Milea, Dan, Najjar, Raymond P, Ting, Daniel, Tang, Zhiqun, Loo, Jing Liang, Tow, Sharon, Singhal, Shweta, Vasseneix, Caroline, Wong, Tien Yin, Lamoureux, Ecosse, Yu Chen, Ching, Aung, Tin, Schmetterer, Leopold, Sanda, Nicolae, Thuman, Gabriele, Hwang, Jeong-Min, Vanikieti, Kavin, Suwan, Yanin, Padungkiatsagul, Tanyatuth, Yu-Wai-Man, Patrick, Jurkute, Neringa, Hong, Eun Hee, Biousse, Valerie, Newman, Nancy J., Peragallo, Jason H., Datillo, Michael, Kedar, Sachin, Lin, Mung Yan, Patil, Ajay, Aung, Andre, Boyko, Matthew, Alsakran, Wael Abdulraman, Zayani, Amani, Bouthour, Walid, Banc, Ana, Mosley, Rasha, Labella, Fernando, Miller, Neil R., Chen, John J., Mejico, Luis J., Kilangalanga, Janvier Ngoy, Biousse, Valérie, Najjar, Raymond P., Wright, David W., Keadey, Matthew T., Wong, Tien Y., and Bruce, Beau B.

Published
2024
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9. The BONSAI (Brain and Optic Nerve Study with Artificial Intelligence) deep learning system can accurately identify pediatric papilledema on standard ocular fundus photographs

Author

Fraser, Clare L., Micieli, Jonathan A., Costello, Fiona, Étienne Bénard-Séguin, Yang, Hui, Mun Chan, Carmen Kar, Cheung, Carol Y., Chan, Noel CY., Hamann, Steffen, Gohier, Philippe, Vautier, Anaïs, Rougier, Marie-Bénédicte, Chiquet, Christophe, Vignal-Clermont, Catherine, Hage, Rabih, Khanna, Raoul Kanav, Chau Tran, Thi Ha, Lagrèze, Wolf Alexander, Jonas, Jost B., Ambika, Selvakumar, Fard, Masoud Aghsaei, La Morgia, Chiara, Carbonelli, Michele, Barboni, Piero, Carelli, Valerio, Romagnoli, Martina, Amore, Giulia, Nakamura, Makoto, Fumio, Takano, Petzold, Axel, de Buy Wenniger L.J., Maillette, Kho, Richard, Fonseca, Pedro L., Bikbov, Mukharram M., Milea, Dan, Najjar, Raymond P., Ting, Daniel, Tang, Zhiqun, Loo, Jing Liang, Tow, Sharon, Singhal, Shweta, Vasseneix, Caroline, Wong, Tien Yin, Lamoureux, Ecosse, Chen, Ching Yu, Aung, Tin, Schmetterer, Leopold, Sanda, Nicolae, Thuman, Gabriele, Hwang, Jeong-Min, Vanikieti, Kavin, Suwan, Yanin, Padungkiatsagul, Tanyatuth, Yu-Wai-Man, Patrick, Jurkute, Neringa, Hong, Eun Hee, Biousse, Valerie, Newman, Nancy J., Peragallo, Jason H., Datillo, Michael, Kedar, Sachin, Lin, Mung Yan, Patil, Ajay, Aung, Andre, Boyko, Matthew, Alsakran, Wael Abdulraman, Zayani, Amani, Bouthour, Walid, Banc, Ana, Mosley, Rasha, Labella, Fernando, Miller, Neil R., Chen, John J., Mejico, Luis J., Kilangalanga, Janvier Ngoy, Cioplean, Daniela, Dragomir, Mihaela, Chia, Audrey, and Biousse, Valérie

Published
2024
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10. Artificial intelligence extension of the OSCAR‐IB criteria

Author

Petzold, Axel, Albrecht, Philipp, Balcer, Laura, Bekkers, Erik, Brandt, Alexander U, Calabresi, Peter A, Deborah, Orla Galvin, Graves, Jennifer S, Green, Ari, Keane, Pearse A, Bijvank, Jenny A Nij, Sander, Josemir W, Paul, Friedemann, Saidha, Shiv, Villoslada, Pablo, Wagner, Siegfried K, Yeh, E Ann, Aktas, Orhan, Antel, Jack, Asgari, Nasrin, Audo, Isabelle, Avasarala, Jagannadha, Avril, Daly, Bagnato, Francesca R, Banwell, Brenda, Bar‐Or, Amit, Behbehani, Raed, Manterola, Arnaldo Belzunce, Bennett, Jeffrey, Benson, Leslie, Bernard, Jacqueline, Bremond‐Gignac, Dominique, Britze, Josefine, Burton, Jodie, Calkwood, Jonathan, Carroll, William, Chandratheva, Arvind, Cohen, Jeffrey, Comi, Giancarlo, Cordano, Christian, Costa, Silvana, Costello, Fiona, Courtney, Ardith, Cruz‐Herranz, Anes, Cutter, Gary, Crabb, David, Delott, Lindsey, De Seze, Jerome, Diem, Ricarda, Dollfuss, Helene, Ayoubi, Nabil K El, Fasser, Christina, Finke, Carsten, Fischer, Dominik, Fitzgerald, Kathryn, Fonseca, Pedro, Frederiksen, Jette L, Frohman, Elliot, Frohman, Teresa, Fujihara, Kazuo, Cuellar, Iñigo Gabilondo, Galetta, Steven, Garcia‐Martin, Elena, Giovannoni, Gavin, Glebauskiene, Brigita, Suárez, Inés González, Jensen, Gorm Pihl, Hamann, Steffen, Hartung, Hans‐Peter, Havla, Joachim, Hemmer, Bernhard, Huang, Su‐Chun, Imitola, Jaime, Jasinskas, Vytautas, Jiang, Hong, Kafieh, Rahele, Kappos, Ludwig, Kardon, Randy, Keegan, David, Kildebeck, Eric, Kim, Ungsoo Samuel, Klistorner, Sasha, Knier, Benjamin, Kolbe, Scott, Korn, Thomas, Krupp, Lauren, Lagrèze, Wolf, Leocani, Letizia, Levin, Netta, Liskova, Petra, Preiningerova, Jana Lizrova, Lorenz, Birgit, May, Eugene, Miller, David, Mikolajczak, Janine, Saïd, Saddek Mohand, Montalban, Xavier, Morrow, Mark, Mowry, Ellen, and Murta, Joaquim

Subjects
Biomedical and Clinical Sciences, Neurosciences, Bioengineering, Biomedical Imaging, Autoimmune Disease, Neurodegenerative, Aging, Brain Disorders, Neurological, Algorithms, Artificial Intelligence, Big Data, Cohort Studies, Humans, Nervous System Diseases, Retina, Tomography, Optical Coherence, IMSVISUAL, ERN-EYE Consortium, Clinical Sciences, Clinical and health psychology
Abstract

Artificial intelligence (AI)-based diagnostic algorithms have achieved ambitious aims through automated image pattern recognition. For neurological disorders, this includes neurodegeneration and inflammation. Scalable imaging technology for big data in neurology is optical coherence tomography (OCT). We highlight that OCT changes observed in the retina, as a window to the brain, are small, requiring rigorous quality control pipelines. There are existing tools for this purpose. Firstly, there are human-led validated consensus quality control criteria (OSCAR-IB) for OCT. Secondly, these criteria are embedded into OCT reporting guidelines (APOSTEL). The use of the described annotation of failed OCT scans advances machine learning. This is illustrated through the present review of the advantages and disadvantages of AI-based applications to OCT data. The neurological conditions reviewed here for the use of big data include Alzheimer disease, stroke, multiple sclerosis (MS), Parkinson disease, and epilepsy. It is noted that while big data is relevant for AI, ownership is complex. For this reason, we also reached out to involve representatives from patient organizations and the public domain in addition to clinical and research centers. The evidence reviewed can be grouped in a five-point expansion of the OSCAR-IB criteria to embrace AI (OSCAR-AI). The review concludes by specific recommendations on how this can be achieved practically and in compliance with existing guidelines.

Published
2021

11. LASER FLARE PHOTOMETRY IN PRIMARY RHEGMATOGENOUS RETINAL DETACHMENT: An Evaluation of 2,487 Cases

Author

Gietzelt, Caroline, Hoerster, Robert, Schiller, Petra, Hermann, Saskia, Kraus, Daria, Holz, Frank G., Guthoff, Rainer, Agostini, Hansjürgen, Spitzer, Martin S., Wiedemann, Peter, Lommatzsch, Albrecht, Boden, Karl T., Bartz-Schmidt, Ulrich, Bemme, Sebastian, Tamm, Svenja, Maier, Mathias, Roider, Johann, Kirchhof, Bernd, Fauser, Sascha, Schaub, Friederike, Altay, Lebriz, Bartz-Schmidt, Karl Ulrich, Callizo, Josep, Dahlke, Claudia, Dimopoulos, Spyridon, Eberwein, Philipp, Ehlken, Christoph, Enders, Philip, Feltgen, Nicolas, Gamulescu, Andreea, Gelisken, Faik, Gutfleisch, Matthias, Haus, Arno, Helbig, Horst, Hermann, Manuel, Januschowski, Kai, Jochmann, Claudia, Kaya, Sema, Kirchhof, Bernd, Krohne, Tim, Lagrèze, Wolf, Lange, Clemens, Lohmann, Chris, Lommatzsch, Albrecht, Macek, Marc Andrej, Maier, Mathias, Märker, David, Mayer, Christian, Meier, Petra, Menzel-Severing, Johannes, Molnar, Fanni, Müther, Philipp, Prahs, Philipp, Purtskhvanidze, Konstantine, Rehak, Matus, Rickmann, Annekatrin, Schick, Tina, Schmitz-Valckenberg, Steffen, Schultheiß, Maximilian, Schweig, Alexandra, Skevas, Christos, Stahl, Andreas, Szurman, Peter, Unterlauft, Jan Darius, Wakili, Philip, and Wozar, Fabian

Published
2024
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13. Safety and efficacy of erythropoietin for the treatment of patients with optic neuritis (TONE): a randomised, double-blind, multicentre, placebo-controlled study

Author

Albrecht, Philipp, Aktas, Orhan, Beck, Anna, Beckmann, Anke, Beisse, Flemming, Berthele, Achim, Bönig, Lena, Diem, Ricarda, Elflein, Heike, Fitzner, Dirk, Fleischer, Vinzenz, Gingele, Stefan, Grotejohann, Birgit, Guthoff, Tanja, Guthoff, Rainer, Hartmann, Kathrin, Hassenstein, Andrea, Heesen, Christoph, Hein, Katharina, Heinrich, Sven P., Hufendiek, Karsten, Hug, Martin J., Huhn, Konstantin, Hümmert, Martin W., Ihorst, Gabriele, Klopfer, Matthias, Kruse, Friedrich E., Küchlin, Sebastian, Kümpfel, Tania, Lagrèze, Wolf A., Linker, Ralf A., Lorenz, Katrin, Molnár, Fanni E., Mulazzani, Elisabeth, Müller, Marcus, Nickel, Florian T., Noll, Marion, Pielen, Amelie, Pitz, Susanne, Rauer, Sebastian, Reich, Michael, Rosenkranz, Sina, Schwenkenbecher, Philipp, Siller, Nelly, Skripuletz, Thomas, Stangel, Martin, Stellmann, Jan-Patrick, Stürner, Klarissa, Sühs, Kurt-Wolfram, Ungewiss, Judith, Uphaus, Timo, van Oterendorp, Christian, Volkmann, Martin, Wabbels, Bettina, Wilhelm, Helmut, Wolf, Sebastian, Wörner, Michael, Ziemann, Ulf, Zipp, Frauke, Lagrèze, Wolf A, Heinrich, Sven P, and Hug, Martin J

Published
2021
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16. Diagnosis and classification of optic neuritis

Author

Petzold, Axel, Fraser, Clare L, Abegg, Mathias, Alroughani, Raed, Alshowaeir, Daniah, Alvarenga, Regina, Andris, Cécile, Asgari, Nasrin, Barnett, Yael, Battistella, Roberto, Behbehani, Raed, Berger, Thomas, Bikbov, Mukharram M, Biotti, Damien, Biousse, Valerie, Boschi, Antonella, Brazdil, Milan, Brezhnev, Andrei, Calabresi, Peter A, Cordonnier, Monique, Costello, Fiona, Cruz, Franz M, Cunha, Leonardo Provetti, Daoudi, Smail, Deschamps, Romain, de Seze, Jerome, Diem, Ricarda, Etemadifar, Masoud, Flores-Rivera, Jose, Fonseca, Pedro, Frederiksen, Jette, Frohman, Elliot, Frohman, Teresa, Tilikete, Caroline Froment, Fujihara, Kazuo, Gálvez, Alberto, Gouider, Riadh, Gracia, Fernando, Grigoriadis, Nikolaos, Guajardo, José M, Habek, Mario, Hawlina, Marko, Martínez-Lapiscina, Elena H, Hooker, Juzar, Hor, Jyh Yung, Howlett, William, Huang-Link, Yumin, Idrissova, Zhannat, Illes, Zsolt, Jancic, Jasna, Jindahra, Panitha, Karussis, Dimitrios, Kerty, Emilia, Kim, Ho Jin, Lagrèze, Wolf, Leocani, Letizia, Levin, Netta, Liskova, Petra, Liu, Yaou, Maiga, Youssoufa, Marignier, Romain, McGuigan, Chris, Meira, Dália, Merle, Harold, Monteiro, Mário L R, Moodley, Anand, Moura, Frederico, Muñoz, Silvia, Mustafa, Sharik, Nakashima, Ichiro, Noval, Susana, Oehninger, Carlos, Ogun, Olufunmilola, Omoti, Afekhide, Pandit, Lekha, Paul, Friedemann, Rebolleda, Gema, Reddel, Stephen, Rejdak, Konrad, Rejdak, Robert, Rodriguez-Morales, Alfonso J, Rougier, Marie-Bénédicte, Sa, Maria Jose, Sanchez-Dalmau, Bernardo, Saylor, Deanna, Shatriah, Ismail, Siva, Aksel, Stiebel-Kalish, Hadas, Szatmary, Gabriella, Ta, Linh, Tenembaum, Silvia, Tran, Huy, Trufanov, Yevgen, van Pesch, Vincent, Wang, An-Guor, Wattjes, Mike P, Willoughby, Ernest, Zakaria, Magd, Zvornicanin, Jasmin, Balcer, Laura, and Plant, Gordon T

Published
2022
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17. Intravitreal 5-Fluorouracil and Heparin to Prevent Proliferative Vitreoretinopathy: Results from a Randomized Clinical Trial

Author

Pfeiffer, Andrea, Willms, Sandra, Binder, Susanne, Le Mer, Yannik, Stützer, Hartmut, Lemmen, Klaus-Dieter, Heimke-Brinck, Ralph, Borst, Tobias, Bartz-Schmidt, Karl Ulrich, Callizo, Josep, Dahlke, Claudia, Eberwein, Philipp, Ehlken, Christoph, Feltgen, Nicolas, Gamulescu, Andreea, Gelisken, Faik, Gutfleisch, Matthias, Haus, Arno, Helbig, Horst, Hermann, Manuel, Januschowski, Kai, Jochmann, Claudia, Krohne, Tim, Lagrèze, Wolf, Lange, Clemens, Lohmann, Chris, Macek, Marc Andrej, Märker, David, Mayer, Christian, Meier, Petra, Müther, Philipp, Prahs, Philipp, Purtskhvanidze, Konstantine, Rehak, Matus, Schaub, Friederike, Schick, Tina, Schmitz-Valckenberg, Steffen, Schultheiß, Maximilian, Skevas, Christos, Stahl, Andreas, Szurman, Peter, Unterlauft, Jan Darius, Hellmich, Martin, Kuhr, Katrin, Schiller, Petra, Hoerster, Robert, Kraus, Daria, Holz, Frank G., Guthoff, Rainer, Agostini, Hansjürgen, Spitzer, Martin S., Wiedemann, Peter, Lommatzsch, Albrecht, Boden, Karl T., Dimopoulos, Spyridon, Bemme, Sebastian, Tamm, Svenja, Maier, Mathias, Roider, Johann, Enders, Philip, Altay, Lebriz, Fauser, Sascha, and Kirchhof, Bernd

Published
2022
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20. Joint Anatomical, Histological, and Imaging Investigation of the Midbrain Target Region for Superolateral Medial Forebrain Bundle Deep Brain Stimulation.

Author

Coenen, Volker Arnd, Zielinski, Jana Maxi, Sajonz, Bastian Elmar Alexander, Reinacher, Peter Christoph, Thierauf-Emberger, Annette, Wessolleck, Johanna, Frosch, Maximilian, Spittau, Björn, Schläpfer, Thomas Eduard, Baldermann, Juan Carlos, Endres, Dominique, Lagrèze, Wolf, Döbrössy, Máté Daniel, and Reisert, Marco

Abstract

Introduction: Deep brain stimulation (DBS) of the superolateral branch of the medial forebrain bundle (slMFB) is currently being researched in clinical trials and open case series as a therapeutic option for treatment-resistant major depressive disorder and treatment-resistant obsessive-compulsive disorder (TR-OCD). There are numerous publications describing stimulation in such proximity to the ventral tegmental area (VTA) and open questions remain concerning the stimulation target and its functional environment. As of right now, we are not aware of any publications that compare the typical electrode placements with the histologically supported tractographic depiction of the target structure. Methods: We used three cadaver midbrain samples with presumed unaltered anatomy. After fixation, staining and slicing, the histological samples were warped to the Montreal Neurological Institute (MNI) big brain environment. Utilizing a tractographic atlas, a qualitative analysis of the typical slMFB stimulation site in the lateral VTA utilizing a subset of clinically implanted DBS electrodes in n = 12 patients, successfully implanted for TR-OCD was performed. Results: A joint qualitative overlay analysis of predominantly tyrosine hydroxylase stained histology at different resolutions in an anatomical common space was achieved. Localization of the DBS lead bodies was found in the typical positions in front of the red nuclei in the lateral VTA. DBS lead tip region positions explained the oculomotor side effects of stimulation related to paranigral or parabrachial pigmented sub-nuclei of the VTA, respectively. The location of active electrode contacts suggests downstream and antidromic effects on the greater VTA related medial forebrain bundle system. Conclusion: This is the first dedicated joint histopathological overlay analysis of DBS electrodes targeting the slMFB and lateral VTA in a common anatomical space. This analysis might serve to better understand the DBS target region for this procedure. Introduction: Deep brain stimulation (DBS) of the superolateral branch of the medial forebrain bundle (slMFB) is currently being researched in clinical trials and open case series as a therapeutic option for treatment-resistant major depressive disorder and treatment-resistant obsessive-compulsive disorder (TR-OCD). There are numerous publications describing stimulation in such proximity to the ventral tegmental area (VTA) and open questions remain concerning the stimulation target and its functional environment. As of right now, we are not aware of any publications that compare the typical electrode placements with the histologically supported tractographic depiction of the target structure. Methods: We used three cadaver midbrain samples with presumed unaltered anatomy. After fixation, staining and slicing, the histological samples were warped to the Montreal Neurological Institute (MNI) big brain environment. Utilizing a tractographic atlas, a qualitative analysis of the typical slMFB stimulation site in the lateral VTA utilizing a subset of clinically implanted DBS electrodes in n = 12 patients, successfully implanted for TR-OCD was performed. Results: A joint qualitative overlay analysis of predominantly tyrosine hydroxylase stained histology at different resolutions in an anatomical common space was achieved. Localization of the DBS lead bodies was found in the typical positions in front of the red nuclei in the lateral VTA. DBS lead tip region positions explained the oculomotor side effects of stimulation related to paranigral or parabrachial pigmented sub-nuclei of the VTA, respectively. The location of active electrode contacts suggests downstream and antidromic effects on the greater VTA related medial forebrain bundle system. Conclusion: This is the first dedicated joint histopathological overlay analysis of DBS electrodes targeting the slMFB and lateral VTA in a common anatomical space. This analysis might serve to better understand the DBS target region for this procedure. [ABSTRACT FROM AUTHOR]

Published
2025
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21. A Deep Learning Approach for Accurate Discrimination Between Optic Disc Drusen and Papilledema on Fundus Photographs.

Author

Sathianvichitr, Kanchalika, Najjar, Raymond P., Zhiqun, Tang, Fraser, J. Alexander, Yau, Christine W. L., Girard, Michael J. A., Costello, Fiona, Lin, Mung Y., Lagrèze, Wolf A., Vignal-Clermont, Catherine, Fraser, Clare L., Hamann, Steffen, Newman, Nancy J., Biousse, Valérie, Milea, Dan, Petzold, Axel, Gohier, Philippe, Miller, Neil R., Vanikieti, Kavin, and Milea, Leonard

Abstract

Supplemental Digital Content is Available in the Text. Background: Optic disc drusen (ODD) represent an important differential diagnosis of papilledema caused by intracranial hypertension, but their distinction may be difficult in clinical practice. The aim of this study was to train, validate, and test a dedicated deep learning system (DLS) for binary classification of ODD vs papilledema (including various subgroups within each category), on conventional mydriatic digital ocular fundus photographs collected in a large international multiethnic population. Methods: This retrospective study included 4,508 color fundus images in 2,180 patients from 30 neuro-ophthalmology centers (19 countries) participating in the Brain and Optic Nerve Study with Artificial Intelligence (BONSAI) Group. For training and internal validation, we used 857 ODD images and 3,230 papilledema images, in 1,959 patients. External testing was performed on an independent data set (221 patients), including 207 images with ODD (96 visible and 111 buried), provided by 3 centers of the Optic Disc Drusen Studies Consortium, and 214 images of papilledema (92 mild-to-moderate and 122 severe) from a previously validated study. Results: The DLS could accurately distinguish between all ODD and papilledema (all severities included): area under the receiver operating characteristic curve (AUC) 0.97 (95% confidence interval [CI], 0.96–0.98), accuracy 90.5% (95% CI, 88.0%–92.9%), sensitivity 86.0% (95% CI, 82.1%–90.1%), and specificity 94.9% (95% CI, 92.3%–97.6%). The performance of the DLS remained high for discrimination of buried ODD from mild-to-moderate papilledema: AUC 0.93 (95% CI, 0.90–0.96), accuracy 84.2% (95% CI, 80.2%–88.6%), sensitivity 78.4% (95% CI, 72.2%–84.7%), and specificity 91.3% (95% CI, 87.0%–96.4%). Conclusions: A dedicated DLS can accurately distinguish between ODD and papilledema caused by intracranial hypertension, even when considering buried ODD vs mild-to-moderate papilledema. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Deep Learning System Outperforms Clinicians in Identifying Optic Disc Abnormalities

Author

Vasseneix, Caroline, Nusinovici, Simon, Xu, Xinxing, Hwang, Jeong-Min, Hamann, Steffen, Chen, John J., Loo, Jing Liang, Milea, Leonard, Tan, Kenneth B.K., Ting, Daniel S.W., Liu, Yong, Newman, Nancy J., Biousse, Valerie, Wong, Tien Ying, Milea, Dan, Najjar, Raymond P., Gohier, Philippe, Miller, Neil, Vanikieti, Kavin, La Morgia, Chiara, Rougier, Marie-Bénédicte, Ambika, Selvakumar, Fonseca, Pedro, Lagrèze, Wolf Alexander, Sanda, Nicolae, Chiquet, Christophe, Yang, Hui, Chan, Carmen K. M., Cheung, Carol Y., Ha Chau, Tran Thi, Jurkute, Neringa, Yu-Wai-Man, Patrick, Kho, Richard, Jonas, Jost B, Vignal-Clermont, Catherine, Kim, Dong Hyun, Yang, Hee Kyung, Aung, Tin, Singhal, Shweta, Tow, Sharon, Nongpiur, Monisha Esther, Perera, Shamira, Narayanaswamy, Arun, Thirugnanam, Umapathi N., Fraser, Clare L., Mejico, Luis J., and Fard, Masoud Aghsaei

Published
2023
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23. Safety and efficacy of once-daily risdiplam in type 2 and non-ambulant type 3 spinal muscular atrophy (SUNFISH part 2): a phase 3, double-blind, randomised, placebo-controlled trial

Author

Volpe, Joseph J., Posner, John, Kellner, Ulrich, Quinlivan, Rosaline, Daron, Aurore, Delstanche, Stéphanie, Bruninx, Romain, Dal Farra, Fabian, Schneider, Olivier, Deconinck, Nicolas, Balikova, Irina, Delbeke, Patricia, Joniau, Inge, Tahon, Valentine, Wittevrongel, Sylvia, De Vos, Elke, Goemans, Nathalie, Casteels, Ingele, De Waele, Liesbeth, Cassiman, Catherine, Prové, Lies, Kinoo, David, Vancampenhout, Lisa, Van Den Hauwe, Marleen, Van Impe, Annelies, Prufer de Queiroz Campos Araujo, Alexandra, Chacon Pereira, Aline, Nardes, Flávia, Haefeli, Lorena, Rossetto, Julia, Ferreira Rebel, Marcos, Almeida Pereira, Jaqueline, Campbell, Craig, Sharan, Sapna, McDonald, Wendy, Scholtes, Cheryl, Mah, Jean, Sframeli, Maria, Chiu, Angela, Hagel, Jane, Oskoui, Maryam, Beneish, Raquel, Cariou-Palmer, Gaela, Pham, Connie, Toffoli, Daniela, Arpin, Stephanie, Turgeon Desilets, Sarah, Wang, Yi, Hu, Chaoping, Huan, Jianfeng, Qian, Chen, Shen, Li, Xiao, Ying, Zhou, Zhenxuan, Li, Hui, Wang, Sujuan, Xiong, Hui, Chang, Xingzhi, Dong, Hui, Liu, Ying, Sang, Tian, Wei, Cuijie, Wen, Jing, Cao, Yiwen, Ly, Xingyao, Zhao, Jingjing, Li, Wenzhu, Qin, Lun, Barisic, Nina, Galiot Delic, Martina, Ivkic, Petra Kristina, Vukojevic, Nenad, Kern, Ivana, Najdanovic, Boris, Skugor, Marin, Servais, Laurent, Boespflug-Tanguy, Odile, Gidaro, Teresa, Seferian, Andreea, De Lucia, Silvana, Barreau, Emmanuel, Mnafek, Nabila, Momtchilova, Marta Milkova, Peche, Helene, Valherie, Carole, Grange, Allison, Lilien, Charlotte, Milascevic, Darko, Tachibana, Shotaro, Ravelli, Claudia, Cardas, Ruxandra, Taytard, Jessica, Aubertin, Guillaume, Vanden Brande, Laure, Davion, Jean-Baptiste, Coopman, Stephanie, Bouacha, Ikram, Debruyne, Philippe, Defoort, Sabine, Derlyn, Gilles, Leroy, Florian, Danjoux, Loïc, Guilbaud, Julie, Desguerre, Isabelle, Barnérias, Christine, Semeraro, Michaela, Bremond-Gignac, Dominique, Bruere, Lenaic, Rateaux, Maxence, Deladrière, Élodie, Germa, Virginie, Pereon, Yann, Mercie, Sandra, Billaud, Fanny, Le Goff, Lucie, Letellier, Guy, Vuillerot, Carole, Portefaix, Aurélie, De-Montferrand, Camille, Le-Goff, Laure, Fontaine, Stephanie, Saidi, Manel, Bouzid, Nabil, Barriere, Aurélie, Tinat, Marie, Kirschner, Janbernd, Dreesbach, Michelle, Lagréze, Wolf, Michaelis, Bettina, Molnar, Fanni, Seger, Dorina, Vogt, Sibylle, Bertini, Enrico, D'Amico, Adele, Petroni, Sergio, Bonetti, Anna Maria, Carlesi, Adelina, Mizzoni, Irene, Bruno, Claudio, Priolo, Enrico, Rao, Giuseppe, Morando, Simone, Tacchetti, Paola, Zuffi, Ambra, Comi, Giacomo Pietro, Brusa, Roberta, Corti, Stefania, Daniele, Velardo, Govoni, Alessandra, Magri, Francesca, Minorini, Valeria, Osnaghi, Silvia Gabriella, Abbati, Francesca, Fassini, Federica, Foa, Michaela, Lopopolo, Amaqlia, Meneri, Megi, Zoppas, Francesca, Parente, Valeria, Baranello, Giovanni, Masson, Riccardo, Bianchi Marzoli, Stefania, Santarsiero, Diletta, Garcia Sierra, Myriam, Tremolada, Gemma, Arnoldi, Maria Teresa, Vigano, Marta, Zanin, Riccardo, Mercuri, Eugenio, Antonaci, Laura, de Sanctis, Roberto, Pane, Marika, Pera, Maria Carmela, Amorelli, Giulia Maria, Barresi, Costanza, D'Amico, Gugliemo, Orazi, Lorenzo, Coratti, Giorgia, Haginoya, Kazuhiro, Kato, Atsuko, Morishita, Yuko, Kira, Ryutaro, Akiyama, Kiyomu, Goto, Miwako, Mori, Yujiro, Okamoto, Misato, Tsutsui, Saki, Takatsuji, Yuta, Tanaka, Aya, Komaki, Hirofumi, Omori, Miina, Suzuki, Ippei, Takeuchi, Mizuki, Todoroki, Daisuke, Watanabe, Seji, Matsubayashi, Tomoko, Inakazu, Emi, Nagura, Hiroe, Suzuki, Akira, Usui, Manami, Ishikawa, Nobutsune, Harada, Yousuke, Fudeyasu, Kenishi, Hirata, Kazuhiko, Michiue, Kana, Ueda, Kazuyuki, Saito, Kayoko, Fujitani, Junko, Arakawa, Reiko, Takano, Kozue, Yashiro, Shigeko, Seki, Maiko, Sano, Nozomi, Fukuyama, Koji, Matsumoto, Yuki, Miyazaki, Hirofumi, Shibata, Minoru, Kobayashi, Kyoko, Nakamura, Yukie, Takeshima, Yasuhiro, Kuma, Moe, Kostera-Pruszczyk, Anna, Fraczek, Anna, Jedrzejowska, Maria, Lusakowska, Anna, Czeszyk-Piotrowicz, Agnieszka, Hautz, Wojciech, Rakusiewicz, Klaudia, Burlewicz, Malgorzata, Gierlak-Wojcicka, Zuzanna, Kepa, Malwina, Sikorski, Adam, Sobieraj, Marcin, Mazurkiewicz-Beldzinska, Maria, Lemska, Anna, Modrzejewska, Sandra, Koberda, Mateusz, Stodolska-Koberda, Urszula, Waskowska, Agnieszka, Kolendo, Jagoda, Sobierajska-Rek, Agnieszka, Steinborn, Barbara, Dalz, Magdalena, Grabowska, Julia, Hajduk, Wojciech, Janasiewicz-Karachitos, Justyna, Klimas, Monika, Stopa, Marcin, Gajewska, Ewa, Pusz, Beata, Vlodavets, Dmitry, Melnik, Evgenia, Leppenen, Natalya, Yupatova, Nataliya, Monakhova, Anastasya, Papina, Yulia, Shidlovsckaia, Olga, Milic Rasic, Vedrana, Brankovic, Vesna, Kosac, Ana, Djokic, Olivera, Jakšic, Vesna, Pepic, Ana, Martinovic, Jelena, Munell Casadesus, Francina, Tizzano, Eduardo, Martín Begué, Nieves, Wolley Dod, Charlotte, Subira, Olaia, Planas Pascual, Bernat, Toro Tamargo, Esther, Madruga Garrido, Marcos, Medina Romero, José David, Salinas, Marta Peña, Nascimento Osorio, Andrés, Díaz Cortés, Ana, Jiménez Gañan, Enrique, Suh, Simone Dowon, Medina Cantillo, Julita, Moya, Obdulia, Padros, Nuria, Urraca, Sandra Roca, Valdivia, Hugo Gonzalez, Pascual Pascual, Samuel, de Manuel, Sofía, Martin, Susana Noval, Burnham, Paul, Espinosa, Sandra, Moreno, Mercedes Martinez, Topaloglu, Haluk, Oncel, Ibrahim, Eroglu Ertugru, Nesibe, Konuskan, Bahadir, Eldem, Bora, Kadayifçilar, Sibel, Alemdaroglu, Ipek, Karaduman, Aynur Ayse, Yilmaz, Oznur Tunca, Bilgin, Neslihan, Sari, Seher, Chiriboga, Claudia, Lee, John J., Rome-Martin, Donnielle, Day, John W., Beres, Shannon, Duong, Tina, Gee, Richard, Dunaway Young, Sally, Fuerst-Recktenwald, Sabine, Marquet, Anne, Muelhardt, Nicoletta, Trundell, Dylan, Mazzone, Elena S, Nascimento, Andres, Gerber, Marianne, Gorni, Ksenija, Khwaja, Omar, Kletzl, Heidemarie, Scalco, Renata S, Staunton, Hannah, Yeung, Wai Yin, Martin, Carmen, Fontoura, Paulo, and Day, John W

Published
2022
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31. Heterophoria in multiple sclerosis patients: a proof of principle cross-sectional study.

Author

Graf, Jonas, Weise, Margit, Guthoff, Tanja, Balloff, Carolin, Gasis, Marcia, Link, Heike, Küchlin, Sebastian, Lagrèze, Wolf, Meuth, Sven G., Aktas, Orhan, and Albrecht, Philipp

Subjects
STANDARD deviations, MULTIPLE sclerosis, PROOF of concept, MEDICAL screening, CROSS-sectional method
Abstract

Objectives: The pathophysiology of multiple sclerosis (MS) involves inflammatory neurodegeneration in the brainstem, cerebellum, and retina. The clinical relevance of oculomotor involvement in MS, however, remains uncertain. Methods: In this cross-sectional study, we evaluated heterophoria as a (sub) clinical tool in 54 MS patients and 55 age-matched healthy controls (HCs). We quantified heterophoria in prism diopters for distance and near range with orthoptic examination. Our primary outcome was high degrees of horizontal heterophoria (HDHH) defined as measurements beyond ±2 standard deviations from the mean prism diopter of heterophoria of our HCs. Results: More than one-third (37%, n=20/54) of MS patients but only 11% (n=6/ 55) of HCs were classified as HDHH [distance, MS=9% (n=5/54) versus HC=6% (n=3/55); near, MS=19% (n=10/54) versus HC=5% (n=3/55)]. Our MS patients presented more combined vertical and horizontal deviations at near range [MS 19% (n=10/54) versus for HC 7% (n=4/55)]. We observed the combination of HDHH both at distance and at near testing in 9% (n=5/54) of MS patients but not at all in HCs (n=0/55). Discussion: Despite the high prevalence of heterophoria, HDHH may be an additional (sub)clinical tool of subclinical involvement in MS. Thus, orthoptic examination may be an additional tool to improve MS diagnostic procedures. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department

Author

Biousse, Valérie, primary, Najjar, Raymond P., additional, Tang, Zhiqun, additional, Lin, Mung Yan, additional, Wright, David W., additional, Keadey, Matthew T., additional, Wong, Tien Y., additional, Bruce, Beau B., additional, Milea, Dan, additional, Newman, Nancy J., additional, Fraser, Clare L., additional, Micieli, Jonathan A., additional, Costello, Fiona, additional, Bénard-Séguin, Étienne, additional, Yang, Hui, additional, Chan, Carmen Kar Mun, additional, Cheung, Carol Y, additional, Chan, Noel CY, additional, Hamann, Steffen, additional, Gohier, Philippe, additional, Vautier, Anaïs, additional, Rougier, Marie-Bénédicte, additional, Chiquet, Christophe, additional, Vignal-Clermont, Catherine, additional, Hage, Rabih, additional, Khanna, Raoul Kanav, additional, Tran, Thi Ha Chau, additional, Lagrèze, Wolf Alexander, additional, Jonas, Jost B, additional, Ambika, Selvakumar, additional, Fard, Masoud Aghsaei, additional, La Morgia, Chiara, additional, Carbonelli, Michele, additional, Barboni, Piero, additional, Carelli, Valerio, additional, Romagnoli, Martina, additional, Amore, Giulia, additional, Nakamura, Makoto, additional, Fumio, Takano, additional, Petzold, Axel, additional, Wenniger lj, Maillette de Buy, additional, Kho, Richard, additional, Fonseca, Pedro L., additional, Bikbov, Mukharram M., additional, Najjar, Raymond P, additional, Ting, Daniel, additional, Loo, Jing Liang, additional, Tow, Sharon, additional, Singhal, Shweta, additional, Vasseneix, Caroline, additional, Wong, Tien Yin, additional, Lamoureux, Ecosse, additional, Yu Chen, Ching, additional, Aung, Tin, additional, Schmetterer, Leopold, additional, Sanda, Nicolae, additional, Thuman, Gabriele, additional, Hwang, Jeong-Min, additional, Vanikieti, Kavin, additional, Suwan, Yanin, additional, Padungkiatsagul, Tanyatuth, additional, Yu-Wai-Man, Patrick, additional, Jurkute, Neringa, additional, Hong, Eun Hee, additional, Biousse, Valerie, additional, Peragallo, Jason H., additional, Datillo, Michael, additional, Kedar, Sachin, additional, Patil, Ajay, additional, Aung, Andre, additional, Boyko, Matthew, additional, Alsakran, Wael Abdulraman, additional, Zayani, Amani, additional, Bouthour, Walid, additional, Banc, Ana, additional, Mosley, Rasha, additional, Labella, Fernando, additional, Miller, Neil R., additional, Chen, John J., additional, Mejico, Luis J., additional, and Kilangalanga, Janvier Ngoy, additional

Published
2024
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33. Disease Course of Clinically Isolated Optic Neuritis

Author

Küchlin, Sebastian, primary, Ihorst, Gabriele, additional, Heinrich, Sven P., additional, Márquez Neila, Pablo, additional, Albrecht, Philipp, additional, Hug, Martin J., additional, Diem, Ricarda, additional, and Lagrèze, Wolf A., additional

Published
2024
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40. Assessment of retinopathy of prematurity regression and reactivation using an artificial intelligence–based vascular severity score

Author

Eilts, Sonja K., Pfeil, Johanna M., Poschkamp, Broder, Krohne, Tim U., Eter, Nicole, Barth, Teresa, Guthoff, Rainer, Lagrèze, Wolf, Grundel, Milena, Bründer, Marie-Christine, Busch, Martin, Kalpathy-Cramer, Jayashree, Chiang, Michael F., Chan, R. V. Paul, Coyner, Aaron S., Ostmo, Susan, Campbell, J. Peter, Stahl, Andreas, Pfeil, Johanna M, Bühler, Anima, Daniel, Moritz, Felzmann, Susanne, Gross, Nicolai, Horn, Stefanie, Lagrèze, Wolf A, Molnár, Fanni, Müller, Claudia, Reichl, Sabine, Reiff, Charlotte, Richter, Olga, Stech, Milena, Hentschel, Roland, Stavropolou, Dimitria, Tautz, Juliane, Bartsch, Kerstin, Braunstein, Jennifer, Brinken, Ralf, Brinkmann, Christian Karl, Czauderna, Joanna, Dralle, Wiebke, Gliem, Martin, Goebel, Arno, Heymer, Philipp, Hofmann, Martina, Holz, Frank G, Krohne, Tim U, Kupitz, David, Müller, Philipp, Petrak, Michael, Schmitz, Eva Janine, Schmitz-Valckenberg, Steffen, Schröder, Moritz, Steinberg, Julia, Supé, Julia, Kant, Evelyn, Kunze, Diana, Müller, Andreas, Adorf, Adeline, Alex, Anne, Alten, Florian, Clemens, Christoph R, Falkenau, Silvia, Friedhoff, Caroline, Loos, Desiree Sandra, Mihailovic, Natasa, Termühlen, Julia, Uhlig, Constantin, Hörnig-Franz, Isabell, Rieger-Fackeldey, Esther, Tekaat, Maria, Werner, Claudius, Altmann, Mathias, Blecha, Christiane, Brandl-Rühle, Sabine, Helbig, Horst, Hufendiek, Karsten, Jägle, Herbert, Konrad, Julia, Kopetzky, Eva, Lehmann, Fabian, Oberacher-Velten, Isabel, Keller-Wackerbauer, Annette, Kittel, Jochen, Segerer, Hugo, Ackermann, Phillip, Benga, Jemina, Guthoff, Tanja, Kleinert, Elena, Mayatepek, Ertan, Schrader, Stefan, Völker, Magdalena, Höhn, Thomas, Lohmeier, Klaus, Sabir, Hemmen, Brevis, Francisco, Mönig, Tina, Schwarz, Simone, Ehmer, Angela, Meltendorf, Synke, Schuart, Claudia, Avenarius, Stefan, Böttger, Ralf, Apel, Christoph, Bergmann, Anne, Herrmann, Karsten, Ockert-Schön, Franziska, Wegener, Sabine, Ehrt, Oliver, Nentwich, Martin, Pressler, Angelika, Rudolph, Günther, Genzel-Boroviczeny, Orsolya, Schmidt, Susanne, Münch, Hans-Georg, Thilmany, Claude, Aisenbrey, Sabine, Bruckmann, Anna, Dimopoulos, Spyridon, Hagemann, Ulrike, Inhoffen, Werner, Partsch, Michael, Schrader, Merle, Süsskind, Daniela, Völker, Michael, Bialkowski, Anja, Müller-Hansen, Ingo, Gerberth, Andrea, Hasselbach, Heike Christine, Lindemann, Solveig, Purtskhvanidze, Konstantine, Raffel, Yvonne, Roider, Johann, Schröder, Greta, Szymanek, Beke, Tode, Jan, Bendiks, Meike, Modlich, Simon, Jandeck, Isabel, Gerding, Heinrich, Smith, Lois E H, Eilts, Sonja K., Pfeil, Johanna M., Poschkamp, Broder, Krohne, Tim U., Eter, Nicole, Barth, Teresa, Guthoff, Rainer, Lagrèze, Wolf, Grundel, Milena, Bründer, Marie-Christine, Busch, Martin, Kalpathy-Cramer, Jayashree, Chiang, Michael F., Chan, R. V. Paul, Coyner, Aaron S., Ostmo, Susan, Campbell, J. Peter, Stahl, Andreas, Pfeil, Johanna M, Bühler, Anima, Daniel, Moritz, Felzmann, Susanne, Gross, Nicolai, Horn, Stefanie, Lagrèze, Wolf A, Molnár, Fanni, Müller, Claudia, Reichl, Sabine, Reiff, Charlotte, Richter, Olga, Stech, Milena, Hentschel, Roland, Stavropolou, Dimitria, Tautz, Juliane, Bartsch, Kerstin, Braunstein, Jennifer, Brinken, Ralf, Brinkmann, Christian Karl, Czauderna, Joanna, Dralle, Wiebke, Gliem, Martin, Goebel, Arno, Heymer, Philipp, Hofmann, Martina, Holz, Frank G, Krohne, Tim U, Kupitz, David, Müller, Philipp, Petrak, Michael, Schmitz, Eva Janine, Schmitz-Valckenberg, Steffen, Schröder, Moritz, Steinberg, Julia, Supé, Julia, Kant, Evelyn, Kunze, Diana, Müller, Andreas, Adorf, Adeline, Alex, Anne, Alten, Florian, Clemens, Christoph R, Falkenau, Silvia, Friedhoff, Caroline, Loos, Desiree Sandra, Mihailovic, Natasa, Termühlen, Julia, Uhlig, Constantin, Hörnig-Franz, Isabell, Rieger-Fackeldey, Esther, Tekaat, Maria, Werner, Claudius, Altmann, Mathias, Blecha, Christiane, Brandl-Rühle, Sabine, Helbig, Horst, Hufendiek, Karsten, Jägle, Herbert, Konrad, Julia, Kopetzky, Eva, Lehmann, Fabian, Oberacher-Velten, Isabel, Keller-Wackerbauer, Annette, Kittel, Jochen, Segerer, Hugo, Ackermann, Phillip, Benga, Jemina, Guthoff, Tanja, Kleinert, Elena, Mayatepek, Ertan, Schrader, Stefan, Völker, Magdalena, Höhn, Thomas, Lohmeier, Klaus, Sabir, Hemmen, Brevis, Francisco, Mönig, Tina, Schwarz, Simone, Ehmer, Angela, Meltendorf, Synke, Schuart, Claudia, Avenarius, Stefan, Böttger, Ralf, Apel, Christoph, Bergmann, Anne, Herrmann, Karsten, Ockert-Schön, Franziska, Wegener, Sabine, Ehrt, Oliver, Nentwich, Martin, Pressler, Angelika, Rudolph, Günther, Genzel-Boroviczeny, Orsolya, Schmidt, Susanne, Münch, Hans-Georg, Thilmany, Claude, Aisenbrey, Sabine, Bruckmann, Anna, Dimopoulos, Spyridon, Hagemann, Ulrike, Inhoffen, Werner, Partsch, Michael, Schrader, Merle, Süsskind, Daniela, Völker, Michael, Bialkowski, Anja, Müller-Hansen, Ingo, Gerberth, Andrea, Hasselbach, Heike Christine, Lindemann, Solveig, Purtskhvanidze, Konstantine, Raffel, Yvonne, Roider, Johann, Schröder, Greta, Szymanek, Beke, Tode, Jan, Bendiks, Meike, Modlich, Simon, Jandeck, Isabel, Gerding, Heinrich, and Smith, Lois E H

Published
2023

43. Contributors

Author

Albani, Adriana, primary, Albano, Luigi, additional, Albonette-Felicio, Thiago, additional, Alexandraki, Krystallenia I., additional, Alomari, Ali, additional, Appelman-Dijkstra, Natasha M., additional, Apps, John R., additional, Aulinas, Anna, additional, Barkhoudarian, Garni, additional, Barzaghi, Lina Raffaella, additional, Bashari, Waiel, additional, Bender, Benjamin, additional, Bidlingmaier, Martin, additional, Biermasz, Nienke R., additional, Bronstein, Marcello D., additional, Buchfelder, Michael, additional, Buslei, Rolf, additional, Carrau, Ricardo L., additional, Chanson, Philippe, additional, Christ-Crain, Mirjam, additional, Claessen, Kim M.J.A., additional, Cohen-Gadol, Aaron A., additional, Conrad, Jens, additional, Corlin, Alex, additional, Criseno, Sherwin, additional, Dekkers, Olaf M., additional, Detchou, Donald K., additional, Deutschbein, Timo, additional, Dimopoulou, Christina, additional, Dodson, Vincent, additional, Ehrenwald, Michal, additional, Elbelt, Ulf, additional, Eloy, Jean Anderson, additional, Esposito, Daniela, additional, Fischer, Melissa, additional, Fleseriu, Maria, additional, Flitsch, Jörg, additional, Fountas, Athanasios, additional, Fraenkel, Merav, additional, Frara, Stefano, additional, Gerlach, Rüdiger, additional, Giese, Sabrina, additional, Gillett, Daniel, additional, Giustina, Andrea, additional, Glezer, Andrea, additional, Greenman, Yona, additional, Grossman, Ashley, additional, Grossman, Rachel, additional, Grosu, Anca-Ligia, additional, Grzywotz, Agnieszka, additional, Gurnell, Mark, additional, Gutenberg, Angelika, additional, Hamblin, Ross, additional, Hayes, Christina, additional, Heaney, Anthony P., additional, Hendricks, Benjamin K., additional, Hinojosa-Amaya, José Miguel, additional, Hirt, Bernhard, additional, Honegger, Jürgen, additional, Ilie, Mirela Diana, additional, Jallad, Raquel S., additional, Johannsson, Gudmundur, additional, Jouanneau, Emmanuel, additional, Jung-Sievers, Caroline, additional, Karavitaki, Niki, additional, Kelly, Daniel F., additional, Kelsall, Alan, additional, Knappe, Ulrich J., additional, Koch, Arend, additional, Kreitschmann-Andermahr, Ilonka, additional, Küchlin, Sebastian, additional, Kullman, Sarah, additional, Lagrèze, Wolf Alexander, additional, Li, Chloe Y., additional, Limon, Dror, additional, Linetsky, Michael, additional, Lithgow, Kirstie, additional, Liu, James K., additional, Llahana, Sofia, additional, Losa, Marco, additional, Luger, Anton, additional, MacFarlane, James, additional, Machado, Marcio C., additional, Maione, Luigi, additional, Martinez-Barbera, Juan Pedro, additional, Martínez-Momblán, Ma Antonia, additional, Martinez-Perez, Rafael, additional, McCartney, Shirley, additional, Mende, Klaus C., additional, Mortini, Pietro, additional, Müller, Hermann L., additional, Nasi-Kordhishti, Isabella, additional, Newell-Price, John, additional, Nicolay, Nils Henrik, additional, Pantel, Tobias, additional, Pereira, Alberto M., additional, Petersenn, Stephan, additional, Prevedello, Daniel M., additional, Ragnarsson, Oskar, additional, Rahmani, Redi, additional, Raverot, Gérald, additional, Raz, Michal, additional, Resmini, Eugenia, additional, Saeger, Wolfgang, additional, Santos, Alicia, additional, Schernthaner-Reiter, Marie Helene, additional, Schilbach, Katharina, additional, Schlaffer, Sven-Martin, additional, Schopohl, Jochen, additional, Schroeder, Henry W.S., additional, Senanayake, Russell, additional, Shimon, Ilan, additional, Silveira-Bertazzo, Giuliano, additional, Spyroglou, Ariadni, additional, Störmann, Sylvère, additional, Thakur, Jai Deep, additional, Theodoropoulou, Marily, additional, Tomlinson, Samuel B., additional, Valassi, Elena, additional, Varlamov, Elena V., additional, Vates, G. Edward, additional, Vila, Greisa, additional, Webb, Susan M., additional, Wilhelm, Helmut, additional, Wolf, Peter, additional, Yang, Yingying, additional, and Zhao, Yining, additional

Published
2021
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