Tim's blog

Tim's blog

Tim Adler

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About

Hi, I'm Tim! I'm a freshly graduated computer science Ph.D. student. I am working at hema.to where we develop machine learning methods to improve leukemia diagnostics. I worked on my Ph.D. at the German Cancer Research Center (DKFZ) in the group of Lena Maier-Hein. There, I focused on uncertainty quantification in biomedical imaging using machine and deep learning techniques. I have a background in mathematics and physics (which comes in very handy from time to time). In my spare time, I love to play pen-and-paper role-playing games, practice yoga, and hike.

I am more than happy to chat about my work and my private projects. You can find a selection of communication channels below.

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First author publications

  • Spectral imaging enables contrast agent-free real-time ischemia monitoring in laparoscopic surgery L Ayala*, TJ Adler*, S Seidlitz, S Wirkert, C Engels, A Seitel, J Sellner, A Aksenov, M Bodenbach, P Bader, S Baron, A Vemuri, M Wiesenfarth, N Schreck, D Mindroc, M Tizabi, S Pirmann, B Everitt, A Kopp-Schneider, D Teber**, L Maier-Hein** *,** equal contribution (respectively) Science Advances 2023 paper | medRxiv | press release (in German)
  • Out of Distribution Detection for Intra-operative Functional Imaging TJ Adler, L Ayala, L Ardizzone, HG Kenngott, A Vemuri, BP Müller-Stich, C Rother, U Köthe, L Maier-Hein MICCAI UNSURE 2019 paper | arXiv | talk
  • Uncertainty handling in intra-operative multispectral imaging with invertible neural networks TJ Adler, L Ardizzone, L Ayala, J Gröhl, A Vemuri, SJ Wirkert, BP Müller-Stich, C Rother, U Köthe, L Maier-Hein MIDL 2019 OpenReview
  • Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks TJ Adler, L Ardizzone, A Vemuri, L Ayala, J Gröhl, T Kirchner, SJ Wirkert, J Kruse, C Rother, U Köthe, L Maier-Hein IPCAI 2019 paper | arXiv | short talk | long talk

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