Tim Adler

According to our database, Tim Adler authored at least 29 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Photoacoustic Quantification of Tissue Oxygenation Using Conditional Invertible Neural Networks.

Jan-Hinrich Nölke, Tim J. Adler, Melanie Schellenberg, Kris K. Dreher, Niklas Holzwarth, Christoph J. Bender, Minu Dietlinde Tizabi, Alexander Seitel, Lena Maier-Hein

IEEE Trans. Medical Imaging, September, 2024

2023

Sources of performance variability in deep learning-based polyp detection.

Thuy Nuong Tran, Tim J. Adler, Amine Yamlahi, Evangelia Christodoulou, Patrick Godau, Annika Reinke, Minu Dietlinde Tizabi, Peter Sauer, Tillmann Persicke, Jörg Gerhard Albert, Lena Maier-Hein

Int. J. Comput. Assist. Radiol. Surg., July, 2023

Beyond rankings: Learning (more) from algorithm validation.

Tobias Roß, Pierangela Bruno, Annika Reinke, Manuel Wiesenfarth, Lisa Koeppel, Peter M. Full, Bünyamin Pekdemir, Patrick Godau, Darya Trofimova, Fabian Isensee, Tim J. Adler, Thuy Nuong Tran, Sara Moccia, Francesco Calimeri, Beat P. Müller-Stich, Annette Kopp-Schneider, Lena Maier-Hein

Medical Image Anal., May, 2023

Spectral imaging enables contrast agent-free real-time ischemia monitoring in laparoscopic surgery.

Leonardo Ayala, Tim Adler, Silvia Seidlitz, Sebastian J. Wirkert, Alexander Seitel, Jan Sellner, Anant Vemuri, Manuel Wiesenfarth, Nicholas Schreck, Sebastian Pirmann, Annette Kopp-Schneider, Lena Maier-Hein

Dataset, January, 2023

Uncertainty Quantification in Biophotonic Imaging using Invertible Neural Networks

Tim Adler

PhD thesis, 2023

Application-driven Validation of Posteriors in Inverse Problems.

Tim J. Adler, Jan-Hinrich Nölke, Annika Reinke, Minu Dietlinde Tizabi, Sebastian Gruber, Dasha Trofimova, Lynton Ardizzone, Paul F. Jaeger, Florian Büttner, Ullrich Köthe, Lena Maier-Hein

CoRR, 2023

Why is the winner the best?

Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.

CoRR, 2023

Self-distillation for Surgical Action Recognition.

Amine Yamlahi, Thuy Nuong Tran, Patrick Godau, Melanie Schellenberg, Dominik Michael, Finn-Henri Smidt, Jan-Hinrich Nölke, Tim J. Adler, Minu Dietlinde Tizabi, Chinedu Innocent Nwoye, Nicolas Padoy, Lena Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Unsupervised Domain Transfer with Conditional Invertible Neural Networks.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Why is the Winner the Best?

Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images.

David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn 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 H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images.

David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn 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 H. Maier-Hein

IEEE Trans. Medical Imaging, 2022

Robust deep learning-based semantic organ segmentation in hyperspectral images.

Silvia Seidlitz, Jan Sellner, Jan Odenthal, Berkin Özdemir, Alexander Studier-Fischer, Samuel Knödler, Leonardo Ayala, Tim J. Adler, Hannes Götz Kenngott, Minu Tizabi, Martin Wagner, Felix Nickel, Beat P. Müller-Stich, Lena Maier-Hein

Medical Image Anal., 2022

Biomedical image analysis competitions: The state of current participation practice.

Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.

CoRR, 2022

Correction to: Robust hand tracking for surgical telestration.

Lucas-Raphael Müller, Jens Petersen, Amine Yamlahi, Philipp Wise, Tim J. Adler, Alexander Seitel, Karl-Friedrich Kowalewski, Beat Müller, Hannes Kenngott, Felix Nickel, Lena Maier-Hein

Int. J. Comput. Assist. Radiol. Surg., 2022

Robust hand tracking for surgical telestration.

Lucas-Raphael Müller, Jens Petersen, Amine Yamlahi, Philipp Wise, Tim J. Adler, Alexander Seitel, Karl-Friedrich Kowalewski, Beat Müller, Hannes Kenngott, Felix Nickel, Lena Maier-Hein

Int. J. Comput. Assist. Radiol. Surg., 2022

Heterogeneous Model Ensemble For Automatic Polyp Detection and Tracking In Colonoscopy.

Amine Yamlahi, Patrick Godau, Thuy Nuong Tran, Lucas-Raphael Muller, Tim Adler, Minu Tizabi, Michael Baumgartner, Paul Jäger, Lena Maier-Hein

Proceedings of the 4th International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2022) co-located with the 19th IEEE International Symposium on Biomedical Imaging (ISBI 2022), 2022

Heterogeneous Model Ensemble For Automatic Polyp Segmentation In Endoscopic Video Sequences.

Thuy Nuong Tran, Fabian Isensee, Lars Krämer, Amine Yamlahi, Tim Adler, Patrick Godau, Minu Tizabi, Lena Maier-Hein

Proceedings of the 4th International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2022) co-located with the 19th IEEE International Symposium on Biomedical Imaging (ISBI 2022), 2022

2021

Video-rate multispectral imaging in laparoscopic surgery: First-in-human application.

Leonardo Ayala, Sebastian J. Wirkert, Anant Vemuri, Tim Adler, Silvia Seidlitz, Sebastian Pirmann, Christina Engels, Dogu Teber, Lena Maier-Hein

CoRR, 2021

Invertible Neural Networks for Uncertainty Quantification in Photoacoustic Imaging.

Jan-Hinrich Nölke, Tim Adler, Janek Gröhl, Thomas Kirchner, Lynton Ardizzone, Carsten Rother, Ullrich Köthe, Lena Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Supplementary code and data for "Learned spectral decoloring enables photoacoustic oximetry".

Janek Gröhl, Thomas Kirchner, Tim J. Adler, Lina Hacker, Niklas Holzwarth, Adrián Hernández-Aguilera, Mildred A. Herrera, Edgar Santos, Sarah E. Bohndiek, Lena Maier-Hein

Dataset, December, 2020

Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks.

Darya Trofimova, Tim Adler, Lisa Kausch, Lynton Ardizzone, Klaus H. Maier-Hein, Ullrich Köthe, Carsten Rother, Lena Maier-Hein

CoRR, 2020

Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room.

Lena Maier-Hein, Martin Wagner, Tobias Roß, Annika Reinke, Sebastian Bodenstedt, Peter M. Full, Hellena Hempe, Diana Mîndroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Anna Kisilenko, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Minu Tizabi, Matthias Eisenmann, Tim J. Adler, Janek Gröhl, Melanie Schellenberg, Silvia Seidlitz, T. Y. Emmy Lai, Veith Roethlingshoefer, Fabian Both, Sebastian Bittel, Marc Mengler, Martin Apitz, Stefanie Speidel, Hannes Götz Kenngott, Beat P. Müller-Stich

CoRR, 2020

Light source calibration for multispectral imaging in surgery.

Leonardo Ayala, Silvia Seidlitz, Anant Vemuri, Sebastian J. Wirkert, Thomas Kirchner, Tim J. Adler, Christina Engels, Dogu Teber, Lena Maier-Hein

Int. J. Comput. Assist. Radiol. Surg., 2020

2019

Estimation of blood oxygenation with learned spectral decoloring for quantitative photoacoustic imaging (LSD-qPAI).

Janek Gröhl, Thomas Kirchner, Tim Adler, Lena Maier-Hein

CoRR, 2019

Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks.

Tim J. Adler, Lynton Ardizzone, Anant Suraj Vemuri, Leonardo Ayala, Janek Gröhl, Thomas Kirchner, Sebastian J. Wirkert, Jakob Kruse, Carsten Rother, Ullrich Köthe, Lena Maier-Hein

Int. J. Comput. Assist. Radiol. Surg., 2019

Out of Distribution Detection for Intra-operative Functional Imaging.

Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes Kenngott, Anant Suraj Vemuri, Beat P. Müller-Stich, Carsten Rother, Ullrich Köthe, Lena Maier-Hein

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

2018

In silico 2D photoacoustic imaging data.

Janek Gröhl, Thomas Kirchner, Tim Adler, Lena Maier-Hein

Dataset, October, 2018

Confidence Estimation for Machine Learning-Based Quantitative Photoacoustics.

Janek Gröhl, Thomas Kirchner, Tim Adler, Lena Maier-Hein

J. Imaging, 2018