Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Martin Atta, Mensah"'
Autor:
Alisa Maria Vittoria Reiter, Jean Tori Pantel, Magdalena Danyel, Denise Horn, Claus-Eric Ott, Martin Atta Mensah
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e42904 (2024)
BackgroundWhile characteristic facial features provide important clues for finding the correct diagnosis in genetic syndromes, valid assessment can be challenging. The next-generation phenotyping algorithm DeepGestalt analyzes patient images and prov
Externí odkaz:
https://doaj.org/article/8a9ef5965b20493eb0badd415f05f0e5
Autor:
Axel Schmidt, Magdalena Danyel, Kathrin Grundmann, Theresa Brunet, Hannah Klinkhammer, Tzung-Chien Hsieh, Hartmut Engels, Sophia Peters, Alexej Knaus, Shahida Moosa, Luisa Averdunk, Felix Boschann, Henrike Sczakiel, Sarina Schwartzmann, Martin Atta Mensah, Jean Tori Pantel, Manuel Holtgrewe, Annemarie Bösch, Claudia Weiß, Natalie Weinhold, Aude-Annick Suter, Corinna Stoltenburg, Julia Neugebauer, Tillmann Kallinich, Angela M. Kaindl, Susanne Holzhauer, Christoph Bührer, Philip Bufler, Uwe Kornak, Claus-Eric Ott, Markus Schülke, Hoa Huu Phuc Nguyen, Sabine Hoffjan, Corinna Grasemann, Tobias Rothoeft, Folke Brinkmann, Nora Matar, Sugirthan Sivalingam, Claudia Perne, Elisabeth Mangold, Martina Kreiss, Kirsten Cremer, Regina C. Betz, Tim Bender, Martin Mücke, Lorenz Grigull, Thomas Klockgether, Spier Isabel, Heimbach André, Bender Tim, Fabian Brand, Christiane Stieber, Alexandra Marzena Morawiec, Pantelis Karakostas, Valentin S. Schäfer, Sarah Bernsen, Patrick Weydt, Sergio Castro-Gomez, Ahmad Aziz, Marcus Grobe-Einsler, Okka Kimmich, Xenia Kobeleva, Demet Önder, Hellen Lesmann, Sheetal Kumar, Pawel Tacik, Min Ae Lee-Kirsch, Reinhard Berner, Catharina Schuetz, Julia Körholz, Tanita Kretschmer, Nataliya Di Donato, Evelin Schröck, André Heinen, Ulrike Reuner, Amalia-Mihaela Hanßke, Frank J. Kaiser, Eva Manka, Martin Munteanu, Alma Kuechler, Kiewert Cordula, Raphael Hirtz, Elena Schlapakow, Christian Schlein, Jasmin Lisfeld, Christian Kubisch, Theresia Herget, Maja Hempel, Christina Weiler-Normann, Kurt Ullrich, Christoph Schramm, Cornelia Rudolph, Franziska Rillig, Maximilian Groffmann, Ania Muntau, Alexandra Tibelius, Eva M. C. Schwaibold, Christian P. Schaaf, Michal Zawada, Lilian Kaufmann, Katrin Hinderhofer, Pamela M. Okun, Urania Kotzaeridou, Georg F. Hoffmann, Daniela Choukair, Markus Bettendorf, Malte Spielmann, Annekatrin Ripke, Martje Pauly, Alexander Münchau, Katja Lohmann, Irina Hüning, Britta Hanker, Tobias Bäumer, Rebecca Herzog, Yorck Hellenbroich, Dominik S. Westphal, Tim Strom, Reka Kovacs, Korbinian M. Riedhammer, Katharina Mayerhanser, Elisabeth Graf, Melanie Brugger, Julia Hoefele, Konrad Oexle, Nazanin Mirza-Schreiber, Riccardo Berutti, Ulrich Schatz, Martin Krenn, Christine Makowski, Heike Weigand, Sebastian Schröder, Meino Rohlfs, Vill Katharina, Fabian Hauck, Ingo Borggraefe, Wolfgang Müller-Felber, Ingo Kurth, Miriam Elbracht, Cordula Knopp, Matthias Begemann, Florian Kraft, Johannes R. Lemke, Julia Hentschel, Konrad Platzer, Vincent Strehlow, Rami Abou Jamra, Martin Kehrer, German Demidov, Stefanie Beck-Wödl, Holm Graessner, Marc Sturm, Lena Zeltner, Ludger J. Schöls, Janine Magg, Andrea Bevot, Christiane Kehrer, Nadja Kaiser, Denise Horn, Annette Grüters-Kieslich, Christoph Klein, Stefan Mundlos, Markus Nöthen, Olaf Riess, Thomas Meitinger, Heiko Krude, Peter M. Krawitz, Tobias Haack, Nadja Ehmke, Matias Wagner
Most individuals with rare diseases initially consult their primary care physician. For a subset of rare diseases, efficient diagnostic pathways are available. However, ultra-rare diseases often require both expert clinical knowledge and comprehensiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51d2fffa10e3858a273179e9636175f6
https://doi.org/10.1101/2023.04.19.23288824
https://doi.org/10.1101/2023.04.19.23288824
Autor:
Tzung-Chien Hsieh, Aviram Bar-Haim, Shahida Moosa, Nadja Ehmke, Karen W. Gripp, Jean Tori Pantel, Magdalena Danyel, Martin Atta Mensah, Denise Horn, Stanislav Rosnev, Nicole Fleischer, Guilherme Bonini, Alexander Hustinx, Alexander Schmid, Alexej Knaus, Behnam Javanmardi, Hannah Klinkhammer, Hellen Lesmann, Sugirthan Sivalingam, Tom Kamphans, Wolfgang Meiswinkel, Frédéric Ebstein, Elke Krüger, Sébastien Küry, Stéphane Bézieau, Axel Schmidt, Sophia Peters, Hartmut Engels, Elisabeth Mangold, Martina Kreiß, Kirsten Cremer, Claudia Perne, Regina C. Betz, Tim Bender, Kathrin Grundmann-Hauser, Tobias B. Haack, Matias Wagner, Theresa Brunet, Heidi Beate Bentzen, Luisa Averdunk, Kimberly Christine Coetzer, Gholson J. Lyon, Malte Spielmann, Christian P. Schaaf, Stefan Mundlos, Markus M. Nöthen, Peter M. Krawitz
Publikováno v:
Nat. Genet. 54, 349-357 (2022)
Many monogenic disorders cause a characteristic facial morphology. Artificial intelligence can support physicians in recognizing these patterns by associating facial phenotypes with the underlying syndrome through training on thousands of patient pho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45988d649a8b4b49875195265ed41e07
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=64310
https://push-zb.helmholtz-muenchen.de/frontdoor.php?source_opus=64310
Autor:
Malte Spielmann, Stéphane Bézieau, Elisabeth Mangold, Markus M. Nöthen, Peter Krawitz, Hartmut Engels, Nicole Fleischer, Matias Wagner, Axel Schmidt, Tobias B. Haack, Shahida Moosa, Alexej Knaus, Tzung-Chien Hsieh, Aviram Bar-Haim, Sugirthan Sivalingam, Martin-Atta Mensah, Stefan Mundlos, Nadja Ehmke, Karen W. Gripp, Denise Horn, Elke Krüger, Sébastien Küry, Theresa Brunet, Frédéric Ebstein, Christian P. Schaaf, Kathrin Grundmann-Hauser, Regina C. Betz, Martina Kreiß, Tom Kamphans, Claudia Perne, Sophia Peters, Magdalena Danyel, Heidi Beate Bentzen, Alexander Schmid, Guilherme Bonini, Kirsten Cremer, Jean Tori Pantel
A large fraction of monogenic disorders causes craniofacial abnormalities with characteristic facial morphology. These disorders can be diagnosed more efficiently with the support of computer-aided next-generation phenotyping tools, such as DeepGesta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dc39a56fb227677101df26697957581
https://doi.org/10.21203/rs.3.rs-138785/v1
https://doi.org/10.21203/rs.3.rs-138785/v1
Autor:
Tzung-Chien Hsieh, Aviram Bar-Haim, Shahida Moosa, Nadja Ehmke, Karen W. Gripp, Jean Tori Pantel, Magdalena Danyel, Martin Atta Mensah, Denise Horn, Stanislav Rosnev, Nicole Fleischer, Guilherme Bonini, Alexander Hustinx, Alexander Schmid, Alexej Knaus, Behnam Javanmardi, Hannah Klinkhammer, Hellen Lesmann, Sugirthan Sivalingam, Tom Kamphans, Wolfgang Meiswinkel, Frédéric Ebstein, Elke Krüger, Sébastien Küry, Stéphane Bézieau, Axel Schmidt, Sophia Peters, Hartmut Engels, Elisabeth Mangold, Martina Kreiß, Kirsten Cremer, Claudia Perne, Regina C. Betz, Tim Bender, Kathrin Grundmann-Hauser, Tobias B. Haack, Matias Wagner, Theresa Brunet, Heidi Beate Bentzen, Luisa Averdunk, Kimberly Christine Coetzer, Gholson J. Lyon, Malte Spielmann, Christian Schaaf, Stefan Mundlos, Markus M. Nöthen, Peter Krawitz
Publikováno v:
Nat Genet
A large fraction of monogenic disorders causes craniofacial abnormalities with characteristic facial morphology. These disorders can be diagnosed more efficiently with the support of computer-aided next-generation phenotyping tools, such as DeepGesta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba8b172bb005662f7f54de852138d50c
https://doi.org/10.1101/2020.12.28.20248193
https://doi.org/10.1101/2020.12.28.20248193
Publikováno v:
The Lancet Digital Health. 4:e295
Autor:
Jean Tori Pantel, Nurulhuda Hajjir, Magdalena Danyel, Jonas Elsner, Angela Teresa Abad-Perez, Peter Hansen, Stefan Mundlos, Malte Spielmann, Denise Horn, Claus-Eric Ott, Martin Atta Mensah
BACKGROUND Collectively, an estimated 5% of the population have a genetic disease. Many of them feature characteristics that can be detected by facial phenotyping. Face2Gene CLINIC is an online app for facial phenotyping of patients with genetic synd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35687fedfdb4d81c957bf8d167b92245
https://doi.org/10.2196/preprints.19263
https://doi.org/10.2196/preprints.19263
Autor:
Jean Tori, Pantel, Nurulhuda, Hajjir, Magdalena, Danyel, Jonas, Elsner, Angela Teresa, Abad-Perez, Peter, Hansen, Stefan, Mundlos, Malte, Spielmann, Denise, Horn, Claus-Eric, Ott, Martin Atta, Mensah
Publikováno v:
Journal of Medical Internet Research (JMIR)
Journal of Medical Internet Research, Vol 22, Iss 10, p e19263 (2020)
Journal of Medical Internet Research
Journal of Medical Internet Research, Vol 22, Iss 10, p e19263 (2020)
Journal of Medical Internet Research
BackgroundCollectively, an estimated 5% of the population have a genetic disease. Many of them feature characteristics that can be detected by facial phenotyping. Face2Gene CLINIC is an online app for facial phenotyping of patients with genetic syndr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d53c2accbb6d2749e2d029a9758fd2fd