Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Tim Adler"'
Autor:
Andreas Deckert, Simon Anders, Manuela De Allegri, Hoa Thi Nguyen, Aurélia Souares, Shannon McMahon, Matthias Meurer, Robin Burk, Matthias Sand, Lisa Koeppel, Lena Maier Hein, Tobias Roß, Tim Adler, Tobias Siems, Lucia Brugnara, Stephan Brenner, Konrad Herbst, Daniel Kirrmaier, Yuanqiang Duan, Svetlana Ovchinnikova, Kathleen Boerner, Michael Marx, Hans-Georg Kräusslich, Michael Knop, Till Bärnighausen, Claudia Denkinger
Publikováno v:
Trials, Vol 22, Iss 1, Pp 1-9 (2021)
Abstract Background To achieve higher effectiveness in population-based SARS-CoV-2 surveillance and to reliably predict the course of an outbreak, screening, and monitoring of infected individuals without major symptoms (about 40% of the population)
Externí odkaz:
https://doaj.org/article/f612ba4a71524224a0a8726b02b7b3ab
Publikováno v:
Journal of Imaging, Vol 4, Iss 12, p 147 (2018)
In medical applications, the accuracy and robustness of imaging methods are of crucial importance to ensure optimal patient care. While photoacoustic imaging (PAI) is an emerging modality with promising clinical applicability, state-of-the-art approa
Externí odkaz:
https://doaj.org/article/af4306d7b3cd424291f257131d247005
Autor:
David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jager, Tim Adler, Jens Petersen, Gregor Kohler, Tobias Ross, Annika Reinke, Antanas Kascenas, Bjorn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus Maier-Hein
Detecting Out-of-Distribution (OoD) data is one of the greatest challenges in safe and robust deployment of machine learning algorithms in medicine. When the algorithms encounter cases that deviate from the distribution of the training data, they oft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bd09f323a99e76832914cf9e01598d2
http://hdl.handle.net/10044/1/96881
http://hdl.handle.net/10044/1/96881
Autor:
Lena Maier-Hein, M. Apitz, Veith Roethlingshoefer, Tobias Ross, Annette Kopp-Schneider, Thuy Nuong Tran, Manuela Capek, Benjamin Müller, Lars Mündermann, Beat P. Müller-Stich, Hellena Hempe, Janek Gröhl, Fabian Both, Peter M. Full, Patrick Scholz, Tim Adler, Marc Mengler, Diana Mindroc-Filimon, Anna Kisilenko, T. Y. Emmy Lai, Tornike Davitashvili, Silvia Seidlitz, Sebastian Bodenstedt, Bünyamin Pekdemir, Melanie Schellenberg, Sebastian Bittel, Minu D. Tizabi, Martin Wagner, Felix Nickel, Annika Reinke, Pierangela Bruno, Pascal Probst, Stefanie Speidel, Matthias Eisenmann, Hannes Kenngott
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-11 (2021)
Scientific Data
Scientific Data
Image-based tracking of medical instruments is an integral part of surgical data science applications. Previous research has addressed the tasks of detecting, segmenting and tracking medical instruments based on laparoscopic video data. However, the
Autor:
Sarah E. Bohndiek, Lena Maier-Hein, Adrián Hernández-Aguilera, Edgar Santos, Janek Gröhl, Mildred A. Herrera, Lina Hacker, Thomas Kirchner, Niklas Holzwarth, Tim Adler
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Funder: Projekt DEAL
The ability of photoacoustic imaging to measure functional tissue properties, such as blood oxygenation sO[Formula: see text], enables a wide variety of possible applications. sO[Formula: see text] can be computed from the r
The ability of photoacoustic imaging to measure functional tissue properties, such as blood oxygenation sO[Formula: see text], enables a wide variety of possible applications. sO[Formula: see text] can be computed from the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ed1c688ba90ddf88af1757ae0fc3c5c
Autor:
Tim Adler, Thomas Kirchner, Ullrich Köthe, Janek Gröhl, Lena Maier-Hein, Carsten Rother, Jan-Hinrich Nölke, Lynton Ardizzone
Publikováno v:
Photons Plus Ultrasound: Imaging and Sensing 2021.
Multispectral photoacoustic imaging (PAI) is an emerging imaging modality which enables the recovery of functional tissue parameters such as blood oxygenation. However, the underlying inverse problems are potentially ill-posed, meaning that radically
Autor:
Svetlana Ovchinnikova, Matthias Meurer, Andreas Deckert, Robin Burk, Michael Knop, Tobias Roß, Matthias Sand, Manuela De Allegri, Lucia Brugnara, Tim Adler, Kathleen Boerner, Tobias Siems, Stephan Brenner, Aurélia Souares, Michael Marx, Hoa Thi Nguyen, Konrad Herbst, Till Bärnighausen, Daniel Kirrmaier, Hans-Georg Kräusslich, Shannon A. McMahon, Lena Maier Hein, Lisa Koeppel, Yuanqiang Duan, Claudia M. Denkinger, Simon Anders
Publikováno v:
Trials
Trials, Vol 22, Iss 1, Pp 1-9 (2021)
Trials, Vol 22, Iss 1, Pp 1-9 (2021)
Background To achieve higher effectiveness in population-based SARS-CoV-2 surveillance and to reliably predict the course of an outbreak, screening, and monitoring of infected individuals without major symptoms (about 40% of the population) will be n
Autor:
Lynton Ardizzone, Thomas Kirchner, Jan-Hinrich Nölke, Carsten Rother, Ullrich Köthe, Janek Gröhl, Lena Maier-Hein, Tim Adler
Publikováno v:
Bildverarbeitung für die Medizin 2021 ISBN: 9783658331979
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
Multispectral photoacoustic imaging (PAI) is an emerging imaging modality that enables the recovery of functional tissue parameters such as blood oxygenation. However, the underlying inverse reconstruction problems are potentially ill-posed, meaning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5f4c04613476ccba04af99c33313206
https://doi.org/10.1007/978-3-658-33198-6_80
https://doi.org/10.1007/978-3-658-33198-6_80
Publikováno v:
Photons Plus Ultrasound: Imaging and Sensing 2020.
One of the major applications of multispectral photoacoustic imaging is the recovery of functional tissue properties with the goal of distinguishing different tissue classes. In this work, we tackle this challenge by employing a deep learning-based a
Autor:
Tim Adler
Publikováno v:
Digitales Produktmanagement ISBN: 9783658306281
Digitales Produktmanagement
Digitales Produktmanagement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d70f74d68abf1fb4067e9a2193e579f2
https://doi.org/10.1007/978-3-658-30629-8_7
https://doi.org/10.1007/978-3-658-30629-8_7