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Surgical data science is revolutionizing minimally invasive surgery by enabling context-aware applications.
3d multi-scale line filter for segmentation and visualization of curvilinear structures in medical images
Yoshinobu Sato, Shin Nakajima, Hideki Atsumi, Thomas Koller, Guido Gerig, Shigeyuki Yoshida, and Ron Kikinis · 1997
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Scikit-learn: Machine learning in Python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay · 2011
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Tool and phase recognition using contextual cnn features
Manish Sahu, Anirban Mukhopadhyay, Angelika Szengel, and Stefan Zachow · 2016
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Human activity recognition using optical flow based feature set
S Santhosh Kumar and Mala John · 2016
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Surgical data science for next-generation interventions
Lena Maier-Hein, Swaroop S Vedula, Stefanie Speidel, Nassir Navab, Ron Kikinis, Adrian Park, Matthias Eisenmann, Hubertus Feussner, Germain Forestier, Stamatia Giannarou, et al · 2017
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Surgical data science: the new knowledge domain
S Swaroop Vedula and Gregory D Hager · 2017
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Temporal clustering of surgical activities in robot-assisted surgery
Aneeq Zia, Chi Zhang, Xiaobin Xiong, and Anthony M Jarc · 2017
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The kinetics human action video dataset
Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, et al · 2017
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Miccai 2016 ms lesion segmentation challenge: supplementary results, Jul 2018
Olivier Commowick, Audrey Istace, Michael Kain, Baptiste Laurent, Florent Leray, Mathieu Simon, Sorina Camarasu-Pop, Pascal Girard, Roxana Ameli, Jean-Christophe Ferré, and et al · 2018
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Surgical activity recognition in robot-assisted radical prostatectomy using deep learning
Aneeq Zia, Andrew Hung, Irfan Essa, and Anthony Jarc · 2018
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Health data and privacy in the digital era
Lawrence O Gostin, Sam F Halabi, and Kumanan Wilson · 2018
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Deep visual domain adaptation: A survey
Mei Wang and Weihong Deng · 2018
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Visda: A synthetic-to-real benchmark for visual domain adaptation
Xingchao Peng, Ben Usman, Neela Kaushik, Dequan Wang, Judy Hoffman, and Kate Saenko · 2018
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Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
Tobias Ross, David Zimmerer, Anant Vemuri, Fabian Isensee, Manuel Wiesenfarth, Sebastian Bodenstedt, Fabian Both, Philip Kessler, Martin Wagner, Beat Müller, et al · 2018
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Unsupervised reverse domain adaptation for synthetic medical images via adversarial training
Faisal Mahmood, Richard Chen, and Nicholas J Durr · 2018
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Ternausnet: U-net with vgg11 encoder pre-trained on imagenet for image segmentation
Vladimir Iglovikov and Alexey Shvets · 2018
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Compressed video action recognition
Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R Manmatha, Alexander J Smola, and Philipp Krähenbühl · 2018
Cited alongside, same era.
Surgical data science–from concepts to clinical translation
Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, et al · 2020
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Endoscopic vision challenge
Stefanie Speidel, Lena Maier-Hein, Danail Stoyanov, Hassan Al Hajj, Gwenolé Quellec, Pierre-Henri Conze, Mathieu Lamard, Béatrice Cochener, Imanol Luengo, Abdolrahim Kadkhodamohammadi, and et al · 2020
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2nd retinal fundus glaucoma challenge 2020
Huazhu Fu, Yanwu Xu, José Ignacio Orlando, Hrvoje Bogunovi, Fei Li, and Xiulan Zhang · 2020
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Rib fracture detection and classification challenge
Jiancheng Yang, Xiaoyang Huang, Jiajun Chen, Donglai Wei, Bingbing Ni, Liang Jin, and Ming Li · 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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Deepphase: surgical phase recognition in cataracts videos
Odysseas Zisimopoulos, Evangello Flouty, Imanol Luengo, Petros Giataganas, Jean Nehme, Andre Chow, and Danail Stoyanov · 2018
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Activity recognition using temporal optical flow convolutional features and multilayer lstm
Amin Ullah, Khan Muhammad, Javier Del Ser, Sung Wook Baik, and Victor Hugo C de Albuquerque · 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.
Machine and deep learning for workflow recognition during surgery
Nicolas Padoy · 2019
Cited alongside, same era.
Real-time extraction of important surgical phases in cataract surgery videos
Shoji Morita, Hitoshi Tabuchi, Hiroki Masumoto, Tomofusa Yamauchi, and Naotake Kamiura · 2019
Cited alongside, same era.
Novel evaluation of surgical activity recognition models using task-based efficiency metrics
Aneeq Zia, Liheng Guo, Linlin Zhou, Irfan Essa, and Anthony Jarc · 2019
Cited alongside, same era.
Slowfast networks for video recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, and Kaiming He · 2019
Cited alongside, same era.
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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Evaluation of deep learning models for identifying surgical actions and measuring performance
Shuja Khalid, Mitchell Goldenberg, Teodor Grantcharov, Babak Taati, and Frank Rudzicz · 2020
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Real-time automatic surgical phase recognition in laparoscopic sigmoidectomy using the convolutional neural network-based deep learning approach
Daichi Kitaguchi, Nobuyoshi Takeshita, Hiroki Matsuzaki, Hiroaki Takano, Yohei Owada, Tsuyoshi Enomoto, Tatsuya Oda, Hirohisa Miura, Takahiro Yamanashi, Masahiko Watanabe, et al · 2020
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Motion2vec: Semi-supervised representation learning from surgical videos
Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, and Ken Goldberg · 2020
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Automatic operating room surgical activity recognition for robot-assisted surgery
Aidean Sharghi, Helene Haugerud, Daniel Oh, and Omid Mohareri · 2020
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How to bring surgery to the next level: Interpretable skills assessment in robotic-assisted surgery
Kristen C Brown, Kiran D Bhattacharyya, Sue Kulason, Aneeq Zia, and Anthony Jarc · 2020
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Endo-sim2real: Consistency learning-based domain adaptation for instrument segmentation
Manish Sahu, Ronja Strömsdörfer, Anirban Mukhopadhyay, and Stefan Zachow · 2020
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Human activity recognition via optical flow: decomposing activities into basic actions
Ammar Ladjailia, Imed Bouchrika, Hayet Farida Merouani, Nouzha Harrati, and Zohra Mahfouf · 2020
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A hybrid deep model using deep learning and dense optical flow approaches for human activity recognition
Senem Tanberk, Zeynep Hilal Kilimci, Dilek Bilgin Tükel, Mitat Uysal, and Selim Akyokuş · 2020
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Deep learning-enabled medical computer vision
Andre Esteva, Katherine Chou, Serena Yeung, Nikhil Naik, Ali Madani, Ali Mottaghi, Yun Liu, Eric Topol, Jeff Dean, and Richard Socher · 2021
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Augmented cognition in the operating room
Roger Daglius Dias, Steven J Yule, and Marco A Zenati · 2021
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