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Challenges have become the state-of-the-art approach to benchmark image analysis algorithms in a comparative manner.
The distribution of the flora in the alpine zone. 1
Paul Jaccard · 1912
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Measures of the amount of ecologic association between species
Lee R Dice · 1945
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Stochastic estimation of the maximum of a regression function
Jack Kiefer, Jacob Wolfowitz, et al · 1952
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Connected component labeling and adjacency graph construction
Linda G Shapiro · 1996
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John Lafferty, Andrew McCallum, and Fernando CN Pereira · 2001
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Testing for normality
Henry C Thode · 2002
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Generalized, Linear, and Mixed Models
C.E. McCulloch, S.R. Searle, and J.M. Neuhaus · 2011
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Linear mixed models: a practical guide using statistical software
Brady T West, Kathleen B Welch, and Andrzej T Galecki · 2014
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Comparative validation of single-shot optical techniques for laparoscopic 3-d surface reconstruction
Lena Maier-Hein, Anja Groch, Adrien Bartoli, Sebastian Bodenstedt, G Boissonnat, P-L Chang, NT Clancy, Daniel S Elson, Sven Haase, Eric Heim, et al · 2014
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Crowdsourcing for reference correspondence generation in endoscopic images
Lena Maier-Hein, Sven Mersmann, Daniel Kondermann, Christian Stock, Hannes Gotz Kenngott, Alexandro Sanchez, Martin Wagner, Anas Preukschas, Anna-Laura Wekerle, Stefanie Helfert, et al · 2014
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Image based surgical instrument pose estimation with multi-class labelling and optical flow
Max Allan, Ping-Lin Chang, Sébastien Ourselin, David J Hawkes, Ashwin Sridhar, John Kelly, and Danail Stoyanov · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Computing inverse optical flow
Javier Sánchez, Agustín Salgado, and Nelson Monzón · 2015
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Real-time segmentation of non-rigid surgical tools based on deep learning and tracking
Luis C García-Peraza-Herrera, Wenqi Li, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel Vander Poorten, Danail Stoyanov, Tom Vercauteren, and Sébastien Ourselin · 2016
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Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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FlowNet 2.0: Evolution of optical flow estimation with deep networks
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, and Thomas Brox · 2017
Cited alongside, same era.
Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P Bradley, Aaron Carass, et al · 2018
Cited alongside, same era.
How to exploit weaknesses in biomedical challenge design and organization
Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M Full, Hrvoje Bogunovic, Bennett A Landman, Oskar Maier, Bjoern Menze, et al · 2018
Cited alongside, same era.
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
Sebastian Bodenstedt, Max Allan, Anthony Agustinos, Xiaofei Du, Luis Garcia-Peraza-Herrera, Hannes Kenngott, Thomas Kurmann, Beat Müller-Stich, Sebastien Ourselin, Daniil Pakhomov, et al · 2018
Cited alongside, same era.
Automatic instrument segmentation in robot-assisted surgery using deep learning
Comparative validation of multi-instance instrument segmentation in endoscopy: results of the robust-mis 2019 challenge
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, and Lena Maier-Hein · 2020
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2018 robotic scene segmentation challenge
Max Allan, Satoshi Kondo, Sebastian Bodenstedt, Stefan Leger, Rahim Kadkhodamohammadi, Imanol Luengo, Felix Fuentes, Evangello Flouty, Ahmed Mohammed, Marius Pedersen, et al · 2020
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Bias: Transparent reporting of biomedical image analysis challenges
Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, et al · 2020
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Alexey A Shvets, Alexander Rakhlin, Alexandr A Kalinin, and Vladimir I Iglovikov · 2018
Cited alongside, same era.
Generative adversarial networks for specular highlight removal in endoscopic images
Isabel Funke, Sebastian Bodenstedt, Carina Riediger, Jürgen Weitz, and Stefanie Speidel · 2018
Cited alongside, same era.
Large-scale medical image annotation with crowd-powered algorithms
Eric Heim, Tobias Roß, Alexander Seitel, Keno März, Bram Stieltjes, Matthias Eisenmann, Johannes Lebert, Jasmin Metzger, Gregor Sommer, Alexander W Sauter, et al · 2018
Cited alongside, same era.
Unflow: Unsupervised learning of optical flow with a bidirectional census loss
Simon Meister, Junhwa Hur, and Stefan Roth · 2018
Cited alongside, same era.
2017 robotic instrument segmentation challenge
Max Allan, Alex Shvets, Thomas Kurmann, Zichen Zhang, Rahul Duggal, Yun-Hsuan Su, Nicola Rieke, Iro Laina, Niveditha Kalavakonda, Sebastian Bodenstedt, et al · 2019
Cited alongside, same era.
Adriënne M Mendrik and Stephen R Aylward · 2019
Cited alongside, same era.
Cataracts: Challenge on automatic tool annotation for cataract surgery
Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Soumali Roychowdhury, Xiaowei Hu, Gabija Maršalkaitė, Odysseas Zisimopoulos, Muneer Ahmad Dedmari, Fenqiang Zhao, Jonas Prellberg, et al · 2019
Cited alongside, same era.
Segmentation of surgical instruments in laparoscopic videos: training dataset generation and deep-learning-based framework
Eung-Joo Lee, William Plishker, Xinyang Liu, Timothy Kane, Shuvra S Bhattacharyya, and Raj Shekhar · 2019
Cited alongside, same era.
Sharib Ali, Felix Zhou, Barbara Braden, Adam Bailey, Suhui Yang, Guanju Cheng, Pengyi Zhang, Xiaoqiong Li, Maxime Kayser, Roger D Soberanis-Mukul, et al · 2020
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Polyp-artifact relationship analysis using graph inductive learned representations
Roger D Soberanis-Mukul, Shadi Albarqouni, and Nassir Navab · 2020
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Maxime Kayser, Roger D Soberanis-Mukul, Anna-Maria Zvereva, Peter Klare, Nassir Navab, and Shadi Albarqouni · 2020
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Maskplus: Improving mask generation for instance segmentation
Shichao Xu, Shuyue Lan, and Zhu Qi · 2020
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Or-unet: an optimized robust residual u-net for instrument segmentation in endoscopic images
Fabian Isensee and Klaus H Maier-Hein · 2020
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Isinet: An instance-based approach for surgical instrument segmentation
Cristina González, Laura Bravo-Sánchez, and Pablo Arbelaez · 2020
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Towards real-time multiple surgical tool tracking
Maria Robu, Abdolrahim Kadkhodamohammadi, Imanol Luengo, and Danail Stoyanov · 2020
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Methods and open-source toolkit for analyzing and visualizing challenge results
Manuel Wiesenfarth, Annika Reinke, Bennett A Landman, Matthias Eisenmann, Laura Aguilera Saiz, M Jorge Cardoso, Lena Maier-Hein, and Annette Kopp-Schneider · 2021
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Stereo correspondence and reconstruction of endoscopic data challenge
Max Allan, Jonathan Mcleod, Cong Cong Wang, Jean Claude Rosenthal, Ke Xue Fu, Trevor Zeffiro, Wenyao Xia, Zhu Zhanshi, Huoling Luo, Xiran Zhang, et al · 2021
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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 Mindroc-Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Anna Kisilenko, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Minu D. Tizabi, Matthias Eisenmann, Tim J. Adler, Janek Gröhl, Melanie Schellenberg, Silvia Seidlitz, T. Y. Emmy Lai, Bünyamin Pekdemir, Veith Roethlingshoefer, Fabian Both, Sebastian Bittel, Marc Mengler, Lars Mündermann, Martin Apitz, Annette Kopp-Schneider, Stefanie Speidel, Felix Nickel, Pascal Probst, Hannes G. Kenngott, and Beat P. Müller-Stich · 2021
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A deep learning framework for quality assessment and restoration in video endoscopy
Sharib Ali, Felix Zhou, Adam Bailey, Barbara Braden, James E East, Xin Lu, and Jens Rittscher · 2021
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Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Sharib Ali, Mariia Dmitrieva, Noha Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan Matuszewski, et al · 2021
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