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Monocular depth estimation (MDE) is a critical component of many medical tracking and mapping algorithms, particularly from endoscopic or laparoscopic video.
Three-dimensional tissue deformation recovery and tracking
Peter Mountney, Danail Stoyanov, and Guang-Zhong Yang · 2010
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Efficient large-scale stereo matching
Andreas Geiger, Martin Roser, and Raquel Urtasun · 2010
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3d reconstruction of virtual colon structures from colonoscopy images
DongHo Hong, Wallapak Tavanapong, Johnny Wong, JungHwan Oh, and Piet C. de Groen · 2014
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Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy
Faisal Mahmood and Nicholas J. Durr · 2018
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Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy
Xingtong Liu, Ayushi Sinha, Mathias Unberath, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, and Austin Reiter · 2018
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Isometric non-rigid shape-from-motion with riemannian geometry solved in linear time
Shaifali Parashar, Daniel Pizarro, and Adrien Bartoli · 2018
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Slam endoscopy enhanced by adversarial depth prediction, 2019
Richard J. Chen, Taylor L. Bobrow, Thomas Athey, Faisal Mahmood, and Nicholas J. Durr · 2019
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Dense depth estimation in monocular endoscopy with self-supervised learning methods, 2019
Xingtong Liu, Ayushi Sinha, Masaru Ishii, Gregory D. Hager, Austin Reiter, Russell H. Taylor, and Mathias Unberath · 2019
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Cutmix: Regularization strategy to train strong classifiers with localizable features, 2019
Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, and Youngjoon Yoo · 2019
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Reconstructing sinus anatomy from endoscopic video – towards a radiation-free approach for quantitative longitudinal assessment, 2020
Xingtong Liu, Maia Stiber, Jindan Huang, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, and Mathias Unberath · 2020
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Endoslam dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos: Endo-sfmlearner, 2020
Kutsev Bengisu Ozyoruk, Guliz Irem Gokceler, Gulfize Coskun, Kagan Incetan, Yasin Almalioglu, Faisal Mahmood, Eva Curto, Luis Perdigoto, Marina Oliveira, Hasan Sahin, Helder Araujo, Henrique Alexandrino, Nicholas J. Durr, Hunter B. Gilbert, and Mehmet Turan · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale, 2021
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
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Endo-depth-and-motion: Reconstruction and tracking in endoscopic videos using depth networks and photometric constraints
David Recasens, José Lamarca, José M Fácil, JMM Montiel, and Javier Civera · 2021
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Endoslam dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos
Kutsev Bengisu Ozyoruk, Guliz Irem Gokceler, Taylor L. Bobrow, Gulfize Coskun, Kagan Incetan, Yasin Almalioglu, Faisal Mahmood, Eva Curto, Luis Perdigoto, Marina Oliveira, Hasan Sahin, Helder Araujo, Henrique Alexandrino, Nicholas J. Durr, Hunter B. Gilbert, and Mehmet Turan · 2021
Earlier work this paper cites.
Depth estimation of endoscopy using sim-to-real transfer, 2021
Bong Hyuk Jeong, Hang Keun Kim, and Young Don Son · 2021
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The future of endoscopic navigation: A review of advanced endoscopic vision technology
Zuoming Fu, Ziyi Jin, Chongan Zhang, Zhongyu He, Zhenzhou Zha, Chunyong Hu, Tianyuan Gan, Qinglai Yan, Peng Wang, and Xuesong Ye · 2021
Cited alongside, same era.
Survey and evaluation of rgb-d slam
Shishun Zhang, Longyu Zheng, and Wenbing Tao · 2021
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Vision transformers for dense prediction
René Ranftl, Alexey Bochkovskiy, and Vladlen Koltun · 2021
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Monocular depth estimation using laplacian pyramid-based depth residuals
Minsoo Song, Seokjae Lim, and Wonjun Kim · 2021
Cited alongside, same era.
Sage: Slam with appearance and geometry prior for endoscopy, 2022
Xingtong Liu, Zhaoshuo Li, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, and Mathias Unberath · 2022
Cited alongside, same era.
Self-supervised monocular depth and ego-motion estimation in endoscopy: Appearance flow to the rescue
A comprehensive survey on pretrained foundation models: A history from bert to chatgpt, 2023
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, and Lichao Sun · 2023
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Foundation models for generalist medical artificial intelligence
Michael Moor, Michael Moor, Oishi Banerjee, Zahra Shakeri Hossein Abad, Harlan M Krumholz, Jure Leskovec, Eric J Topol, and Pranav Rajpurkar · 2023
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Chatgpt and generative ai chatbots: challenges and opportunities for science, medicine and medical leaders
Erwin Loh · 2023
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The future of medical education and research: Is chatgpt a blessing or blight in disguise?
Uzair Munaf Taha Bin Arif and Ibtehaj Ul-Haque · 2023
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Segment anything, 2023
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
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Shuwei Shao, Zhongcai Pei, Weihai Chen, Wentao Zhu, Xingming Wu, Dianmin Sun, and Baochang Zhang · 2022
Cited alongside, same era.
Chatgpt-3.5: A language model by openai
OpenAI · 2022
Cited alongside, same era.
Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer
René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, and Vladlen Koltun · 2022
Cited alongside, same era.
Multimodal foundation models: From specialists to general-purpose assistants, 2023
Chunyuan Li, Zhe Gan, Zhengyuan Yang, Jianwei Yang, Linjie Li, Lijuan Wang, and Jianfeng Gao · 2023
Cited alongside, same era.
Tracking and mapping in medical computer vision: A review, 2023
Adam Schmidt, Omid Mohareri, Simon DiMaio, Michael Yip, and Septimiu E. Salcudean · 2023
Cited alongside, same era.
Colonoscopy 3d video dataset with paired depth from 2d-3d registration
Taylor L. Bobrow, Mayank Golhar, Rohan Vijayan, Venkata S. Akshintala, Juan R. Garcia, and Nicholas J. Durr · 2023
Cited alongside, same era.
Self-supervised monocular depth estimation for gastrointestinal endoscopy
Yuying Liu and Siyang Zuo · 2023
Cited alongside, same era.
Segment anything model (sam) for digital pathology: Assess zero-shot segmentation on whole slide imaging, 2023
Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Shilin Zhao, Agnes B. Fogo, Haichun Yang, Yucheng Tang, and Yuankai Huo · 2023
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Segment anything model for medical image analysis: An experimental study
Maciej A. Mazurowski, Haoyu Dong, Hanxue Gu, Jichen Yang, Nicholas Konz, and Yixin Zhang · 2023
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Arthronet: a monocular depth estimation technique with 3d segmented maps for knee arthroscopy
Shahnewaz Ali and Ajay K. Pandey · 2023
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Repurposing diffusion-based image generators for monocular depth estimation, 2023
Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, and Konrad Schindler · 2023
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Dinov2: Learning robust visual features without supervision, 2023
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, and Piotr Bojanowski · 2023
Later among the works it cites.
Repurposing diffusion-based image generators for monocular depth estimation, 2023
Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, and Konrad Schindler · 2023
Later among the works it cites.
Depth anything: Unleashing the power of large-scale unlabeled data
Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, and Hengshuang Zhao · 2024
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Foundation models for biomedical image segmentation: A survey, 2024
Ho Hin Lee, Yu Gu, Theodore Zhao, Yanbo Xu, Jianwei Yang, Naoto Usuyama, Cliff Wong, Mu Wei, Bennett A. Landman, Yuankai Huo, Alberto Santamaria-Pang, and Hoifung Poon · 2024
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Chatgpt in healthcare: A taxonomy and systematic review
Jianning Li, Amin Dada, Behrus Puladi, Jens Kleesiek, and Jan Egger · 2024
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