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Recent advances in synthetic imaging open up opportunities for obtaining additional data in the field of surgical imaging.
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Earlier work this paper cites.
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
Andru P Twinanda, Sherif Shehata, Didier Mutter, Jacques Marescaux, Michel de Mathelin, and Nicolas Padoy · 2017
Earlier work this paper cites.
Generating Large Labeled Data Sets for Laparoscopic Image Processing Tasks Using Unpaired Image-to-Image Translation
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, and Stefanie Speidel · 2019
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Virtual reality training compared with apprenticeship training in laparoscopic surgery: a meta-analysis
M Portelli, SF Bianco, T Bezzina, and JE Abela · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu · 2020
Earlier work this paper cites.
CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80, 2020
W.-Y. Hong, C.-L. Kao, Y.-H. Kuo, J.-R. Wang, W.-L. Chang, and C.-S. Shih · 2020
Earlier work this paper cites.
Reliable Fidelity and Diversity Metrics for Generative Models
Muhammad Ferjad Naeem, Seong Joon Oh, Youngjung Uh, Yunjey Choi, and Jaejun Yoo · 2020
Earlier work this paper cites.
LapFormer: surgical tool detection in laparoscopic surgical video using transformer architecture
Satoshi Kondo · 2021
Earlier work this paper cites.
The application of virtual reality in the training of laparoscopic surgery: A systematic review and meta-analysis
Chi Jin, Liuyan Dai, and Tong Wang · 2021
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Towards realistic laparoscopic image generation using image-domain translation
Aldo Marzullo, Sara Moccia, Michele Catellani, Francesco Calimeri, and Elena De Momi · 2021
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Robotic Instrument Segmentation With Image-to-Image Translation
Emanuele Colleoni and Danail Stoyanov · 2021
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Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Learning Transferable Visual Models From Natural Language Supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, A. Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
Cited alongside, same era.
The role of explainability in creating trustworthy artificial intelligence for health care: A comprehensive survey of the terminology, design choices, and evaluation strategies
Aniek F. Markus, Jan A. Kors, and Peter R. Rijnbeek · 2021
Cited alongside, same era.
Computer vision in surgery: from potential to clinical value
Pietro Mascagni, Deepak Alapatt, Luca Sestini, Maria S. Altieri, Amin Madani, Yusuke Watanabe, Adnan Alseidi, Jay A. Redan, Sergio Alfieri, Guido Costamagna, Ivo Boškoski, Nicolas Padoy, and Daniel A. Hashimoto · 2022
Cited alongside, same era.
Video is better: why aren’t we using it? A mixed-methods study of the barriers to routine procedural video recording and case review
Laura Mazer, Oliver Varban, John R. Montgomery, Michael M. Awad, and Allison Schulman · 2022
Cited alongside, same era.
Perception Prioritized Training of Diffusion Models
Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, and Sungroh Yoon · 2022
Later among the works it cites.
Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos
Chinedu Innocent Nwoye, Tong Yu, Cristians Gonzalez, Barbara Seeliger, Pietro Mascagni, Didier Mutter, Jacques Marescaux, and Nicolas Padoy · 2022
Later among the works it cites.
The medical algorithmic audit
Xiaoxuan Liu, Ben Glocker, Melissa M McCradden, Marzyeh Ghassemi, Alastair K Denniston, and Lauren Oakden-Rayner · 2022
Later among the works it cites.
Video Diffusion Models, 2022
Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, and David J. Fleet · 2022
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Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains
Pierre Joseph Marcel Chambon, Christian Bluethgen, Curtis Langlotz, and Akshay Chaudhari · 2023
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Lalith Sharan, Gabriele Romano, Sven Koehler, Halvar Kelm, Matthias Karck, Raffaele De Simone, and Sandy Engelhardt · 2022
Cited alongside, same era.
Brain Imaging Generation with Latent Diffusion Models
Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sebastien Ourselin, and M. Jorge Cardoso · 2022
Cited alongside, same era.
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
Cited alongside, same era.
Hierarchical Text-Conditional Image Generation with CLIP Latents, 2022
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
Cited alongside, same era.
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo-Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J. Fleet, and Mohammad Norouzi · 2022
Cited alongside, same era.
A Study on the Evaluation of Generative Models, 2022
Eyal Betzalel, Coby Penso, Aviv Navon, and Ethan Fetaya · 2022
Cited alongside, same era.
On Aliased Resizing and Surprising Subtleties in GAN Evaluation
Gaurav Parmar, Richard Zhang, and Jun-Yan Zhu · 2022
Cited alongside, same era.
Chenfei Wu, Shengming Yin, Weizhen Qi, Xiaodong Wang, Zecheng Tang, and Nan Duan · 2023
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Spot the Fake Lungs: Generating Synthetic Medical Images Using Neural Diffusion Models
Hazrat Ali, Shafaq Murad, and Zubair Shah · 2023
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Improving dermatology classifiers across populations using images generated by large diffusion models
Luke William Sagers, James Allen Diao, Matthew Groh, Pranav Rajpurkar, Adewole Adamson, and Arjun Kumar Manrai · 2023
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Demystifying MMD GANs
Mikołaj Bińkowski, Danica J. Sutherland, Michael Arbel, and Arthur Gretton · 2023
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Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets, 2023
Chinedu Innocent Nwoye and Nicolas Padoy · 2023
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Extracting training data from diffusion models
Nicolas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, and Eric Wallace · 2023
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