1 code implementation • 15 Oct 2024 • Jan Sellner, Alexander Studier-Fischer, Ahmad Bin Qasim, Silvia Seidlitz, Nicholas Schreck, Minu Tizabi, Manuel Wiesenfarth, Annette Kopp-Schneider, Samuel Knödler, Caelan Max Haney, Gabriel Salg, Berkin Özdemir, Maximilian Dietrich, Maurice Stephan Michel, Felix Nickel, Karl-Friedrich Kowalewski, Lena Maier-Hein
Novel optical imaging techniques, such as hyperspectral imaging (HSI) combined with machine learning-based (ML) analysis, have the potential to revolutionize clinical surgical imaging.
no code implementations • 11 Sep 2024 • Alexander Baumann, Leonardo Ayala, Alexander Studier-Fischer, Jan Sellner, Berkin Özdemir, Karl-Friedrich Kowalewski, Slobodan Ilic, Silvia Seidlitz, Lena Maier-Hein
Hyperspectral imaging (HSI) is emerging as a promising novel imaging modality with various potential surgical applications.
1 code implementation • 27 Aug 2024 • Silvia Seidlitz, Jan Sellner, Alexander Studier-Fischer, Alessandro Motta, Berkin Özdemir, Beat P. Müller-Stich, Felix Nickel, Lena Maier-Hein
Our comprehensive validation on six different OOD datasets, comprising 600 RGB and hyperspectral imaging (HSI) cubes from 33 pigs, each annotated with 19 classes, reveals a large performance drop in SOA organ segmentation models on geometric OOD data.
1 code implementation • 19 Aug 2024 • Silvia Seidlitz, Katharina Hölzl, Ayca von Garrel, Jan Sellner, Stephan Katzenschlager, Tobias Hölle, Dania Fischer, Maik von der Forst, Felix C. F. Schmitt, Markus A. Weigand, Lena Maier-Hein, Maximilian Dietrich
The predictive performance improves substantially when additional clinical data is incorporated, leading to an AUROC of up to 0. 94 (95 % CI [0. 92; 0. 96]) for sepsis and 0. 84 (95 % CI [0. 78; 0. 89]) for mortality.
1 code implementation • 20 Mar 2023 • Jan Sellner, Silvia Seidlitz, Alexander Studier-Fischer, Alessandro Motta, Berkin Özdemir, Beat Peter Müller-Stich, Felix Nickel, Lena Maier-Hein
According to a comprehensive validation on six different OOD data sets comprising 600 RGB and hyperspectral imaging (HSI) cubes from 33 pigs semantically annotated with 19 classes, we demonstrate a large performance drop of SOA organ segmentation networks applied to geometric OOD data.
no code implementations • 17 Mar 2023 • Kris K. Dreher, Leonardo Ayala, Melanie Schellenberg, Marco Hübner, Jan-Hinrich Nölke, Tim J. Adler, Silvia Seidlitz, Jan Sellner, Alexander Studier-Fischer, Janek Gröhl, Felix Nickel, Ullrich Köthe, Alexander Seitel, Lena Maier-Hein
Synthetic medical image generation has evolved as a key technique for neural network training and validation.
no code implementations • 7 Oct 2022 • Constantin Seibold, Simon Reiß, Saquib Sarfraz, Matthias A. Fink, Victoria Mayer, Jan Sellner, Moon Sung Kim, Klaus H. Maier-Hein, Jens Kleesiek, Rainer Stiefelhagen
To exploit anatomical structures in this scenario, we present a sophisticated automatic pipeline to gather and integrate human bodily structures from computed tomography datasets, which we incorporate in our PAXRay: A Projected dataset for the segmentation of Anatomical structures in X-Ray data.
1 code implementation • 9 Nov 2021 • Silvia Seidlitz, Jan Sellner, Jan Odenthal, Berkin Özdemir, Alexander Studier-Fischer, Samuel Knödler, Leonardo Ayala, Tim J. Adler, Hannes G. Kenngott, Minu Tizabi, Martin Wagner, Felix Nickel, Beat P. Müller-Stich, Lena Maier-Hein
To address this gap in the literature, we are investigating the following research questions based on hyperspectral imaging (HSI) data of pigs acquired in an open surgery setting: (1) What is an adequate representation of HSI data for neural network-based fully automated organ segmentation, especially with respect to the spatial granularity of the data (pixels vs. superpixels vs. patches vs. full images)?
no code implementations • 15 Jun 2021 • Maximilian Dietrich, Silvia Seidlitz, Nicholas Schreck, Manuel Wiesenfarth, Patrick Godau, Minu Tizabi, Jan Sellner, Sebastian Marx, Samuel Knödler, Michael M. Allers, Leonardo Ayala, Karsten Schmidt, Thorsten Brenner, Alexander Studier-Fischer, Felix Nickel, Beat P. Müller-Stich, Annette Kopp-Schneider, Markus A. Weigand, Lena Maier-Hein
Sepsis is a leading cause of mortality and critical illness worldwide.