Sebastian Bodenstedt

Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe

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

May 28, 2020
Lena Maier-Hein, Martin Wagner, Tobias Ross, Annika Reinke, Sebastian Bodenstedt, Peter M. Full, Hellena Hempe, Diana Mindroc-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 G. Kenngott, Beat P. Müller-Stich

* Submitted to Nature Scientific Data 
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Robust Medical Instrument Segmentation Challenge 2019

Mar 23, 2020
Tobias Ross, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mindroc Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo-Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtac, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Gutai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat P. Müller-Stich, Lena Maier-Hein

* A pre-print 
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Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration

Feb 26, 2020
Dominik Rivoir, Sebastian Bodenstedt, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel

* OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging (2019) 29-37 
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2018 Robotic Scene Segmentation Challenge

Feb 03, 2020
Max Allan, Satoshi Kondo, Sebastian Bodenstedt, Stefan Leger, Rahim Kadkhodamohammadi, Imanol Luengo, Felix Fuentes, Evangello Flouty, Ahmed Mohammed, Marius Pedersen, Avinash Kori, Varghese Alex, Ganapathy Krishnamurthi, David Rauber, Robert Mendel, Christoph Palm, Sophia Bano, Guinther Saibro, Chi-Sheng Shih, Hsun-An Chiang, Juntang Zhuang, Junlin Yang, Vladimir Iglovikov, Anton Dobrenkii, Madhu Reddiboina, Anubhav Reddy, Xingtong Liu, Cong Gao, Mathias Unberath, Myeonghyeon Kim, Chanho Kim, Chaewon Kim, Hyejin Kim, Gyeongmin Lee, Ihsan Ullah, Miguel Luna, Sang Hyun Park, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel


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Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video

Jul 26, 2019
Isabel Funke, Sebastian Bodenstedt, Florian Oehme, Felix von Bechtolsheim, Jürgen Weitz, Stefanie Speidel

* Accepted at MICCAI 2019. Source code will be made available 
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Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation

Jul 05, 2019
Micha Pfeiffer, Isabel Funke, Maria R. Robu, Sebastian Bodenstedt, Leon Strenger, Sandy Engelhardt, Tobias Roß, Matthew J. Clarkson, Kurinchi Gurusamy, Brian R. Davidson, Lena Maier-Hein, Carina Riediger, Thilo Welsch, Jürgen Weitz, Stefanie Speidel

* Accepted at MICCAI 2019 
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2017 Robotic Instrument Segmentation Challenge

Feb 21, 2019
Max Allan, Alex Shvets, Thomas Kurmann, Zichen Zhang, Rahul Duggal, Yun-Hsuan Su, Nicola Rieke, Iro Laina, Niveditha Kalavakonda, Sebastian Bodenstedt, Luis Herrera, Wenqi Li, Vladimir Iglovikov, Huoling Luo, Jian Yang, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel, Mahdi Azizian


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Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor data

Nov 08, 2018
Sebastian Bodenstedt, Martin Wagner, Lars Mündermann, Hannes Kenngott, Beat Müller-Stich, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel


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Active Learning using Deep Bayesian Networks for Surgical Workflow Analysis

Nov 08, 2018
Sebastian Bodenstedt, Dominik Rivoir, Alexander Jenke, Martin Wagner, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel


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Temporal coherence-based self-supervised learning for laparoscopic workflow analysis

Sep 07, 2018
Isabel Funke, Alexander Jenke, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel, Sebastian Bodenstedt

* CARE 2018, CLIP 2018, OR 2.0 2018, ISIC 2018. Lecture Notes in Computer Science, vol 11041 (2018) 85-93 
 * Accepted at the Workshop on Context-Aware Operating Theaters (OR 2.0), a MICCAI satellite event 
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Real-time image-based instrument classification for laparoscopic surgery

Aug 01, 2018
Sebastian Bodenstedt, Antonia Ohnemus, Darko Katic, Anna-Laura Wekerle, Martin Wagner, Hannes Kenngott, Beat Müller-Stich, Rüdiger Dillmann, Stefanie Speidel

* Modeling and Monitoring of Computer Assisted Interventions (M2CAI) (2015) 
 * Workshop paper accepted and presented at Modeling and Monitoring of Computer Assisted Interventions (M2CAI) (2015) 
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Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery

May 07, 2018
Sebastian Bodenstedt, Max Allan, Anthony Agustinos, Xiaofei Du, Luis Garcia-Peraza-Herrera, Hannes Kenngott, Thomas Kurmann, Beat Müller-Stich, Sebastien Ourselin, Daniil Pakhomov, Raphael Sznitman, Marvin Teichmann, Martin Thoma, Tom Vercauteren, Sandrine Voros, Martin Wagner, Pamela Wochner, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel


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Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

Jan 31, 2018
Tobias Ross, David Zimmerer, Anant Vemuri, Fabian Isensee, Manuel Wiesenfarth, Sebastian Bodenstedt, Fabian Both, Philip Kessler, Martin Wagner, Beat Müller, Hannes Kenngott, Stefanie Speidel, Annette Kopp-Schneider, Klaus Maier-Hein, Lena Maier-Hein


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Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis

Feb 13, 2017
Sebastian Bodenstedt, Martin Wagner, Darko Katić, Patrick Mietkowski, Benjamin Mayer, Hannes Kenngott, Beat Müller-Stich, Rüdiger Dillmann, Stefanie Speidel


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