228 related articles for article (PubMed ID: 32040704)
1. Assisted phase and step annotation for surgical videos.
Lecuyer G; Ragot M; Martin N; Launay L; Jannin P
Int J Comput Assist Radiol Surg; 2020 Apr; 15(4):673-680. PubMed ID: 32040704
[TBL] [Abstract][Full Text] [Related]
2. LRTD: long-range temporal dependency based active learning for surgical workflow recognition.
Shi X; Jin Y; Dou Q; Heng PA
Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1573-1584. PubMed ID: 32588246
[TBL] [Abstract][Full Text] [Related]
3. Assessment of Automated Identification of Phases in Videos of Cataract Surgery Using Machine Learning and Deep Learning Techniques.
Yu F; Silva Croso G; Kim TS; Song Z; Parker F; Hager GD; Reiter A; Vedula SS; Ali H; Sikder S
JAMA Netw Open; 2019 Apr; 2(4):e191860. PubMed ID: 30951163
[TBL] [Abstract][Full Text] [Related]
4. SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network.
Jin Y; Dou Q; Chen H; Yu L; Qin J; Fu CW; Heng PA
IEEE Trans Med Imaging; 2018 May; 37(5):1114-1126. PubMed ID: 29727275
[TBL] [Abstract][Full Text] [Related]
5. Automated segmentation of phases, steps, and tasks in laparoscopic cholecystectomy using deep learning.
Hegde SR; Namazi B; Iyengar N; Cao S; Desir A; Marques C; Mahnken H; Dumas RP; Sankaranarayanan G
Surg Endosc; 2024 Jan; 38(1):158-170. PubMed ID: 37945709
[TBL] [Abstract][Full Text] [Related]
6. Cataract-1K Dataset for Deep-Learning-Assisted Analysis of Cataract Surgery Videos.
Ghamsarian N; El-Shabrawi Y; Nasirihaghighi S; Putzgruber-Adamitsch D; Zinkernagel M; Wolf S; Schoeffmann K; Sznitman R
Sci Data; 2024 Apr; 11(1):373. PubMed ID: 38609405
[TBL] [Abstract][Full Text] [Related]
7. Active learning using deep Bayesian networks for surgical workflow analysis.
Bodenstedt S; Rivoir D; Jenke A; Wagner M; Breucha M; Müller-Stich B; Mees ST; Weitz J; Speidel S
Int J Comput Assist Radiol Surg; 2019 Jun; 14(6):1079-1087. PubMed ID: 30968355
[TBL] [Abstract][Full Text] [Related]
8. Real-Time Extraction of Important Surgical Phases in Cataract Surgery Videos.
Morita S; Tabuchi H; Masumoto H; Yamauchi T; Kamiura N
Sci Rep; 2019 Nov; 9(1):16590. PubMed ID: 31719589
[TBL] [Abstract][Full Text] [Related]
9. Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks.
Al Hajj H; Lamard M; Conze PH; Cochener B; Quellec G
Med Image Anal; 2018 Jul; 47():203-218. PubMed ID: 29778931
[TBL] [Abstract][Full Text] [Related]
10. Semi-supervised learning with progressive unlabeled data excavation for label-efficient surgical workflow recognition.
Shi X; Jin Y; Dou Q; Heng PA
Med Image Anal; 2021 Oct; 73():102158. PubMed ID: 34325149
[TBL] [Abstract][Full Text] [Related]
11. Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures.
Ramesh S; Dall'Alba D; Gonzalez C; Yu T; Mascagni P; Mutter D; Marescaux J; Fiorini P; Padoy N
Int J Comput Assist Radiol Surg; 2021 Jul; 16(7):1111-1119. PubMed ID: 34013464
[TBL] [Abstract][Full Text] [Related]
12. Against spatial-temporal discrepancy: contrastive learning-based network for surgical workflow recognition.
Xia T; Jia F
Int J Comput Assist Radiol Surg; 2021 May; 16(5):839-848. PubMed ID: 33950398
[TBL] [Abstract][Full Text] [Related]
13. Artificial intelligence software available for medical devices: surgical phase recognition in laparoscopic cholecystectomy.
Shinozuka K; Turuda S; Fujinaga A; Nakanuma H; Kawamura M; Matsunobu Y; Tanaka Y; Kamiyama T; Ebe K; Endo Y; Etoh T; Inomata M; Tokuyasu T
Surg Endosc; 2022 Oct; 36(10):7444-7452. PubMed ID: 35266049
[TBL] [Abstract][Full Text] [Related]
14. TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos.
Ramesh S; Dall'Alba D; Gonzalez C; Yu T; Mascagni P; Mutter D; Marescaux J; Fiorini P; Padoy N
Int J Comput Assist Radiol Surg; 2023 Sep; 18(9):1665-1672. PubMed ID: 36944845
[TBL] [Abstract][Full Text] [Related]
15. PhacoTrainer: A Multicenter Study of Deep Learning for Activity Recognition in Cataract Surgical Videos.
Yeh HH; Jain AM; Fox O; Wang SY
Transl Vis Sci Technol; 2021 Nov; 10(13):23. PubMed ID: 34784415
[TBL] [Abstract][Full Text] [Related]
16. Deep learning for surgical phase recognition using endoscopic videos.
Guédon ACP; Meij SEP; Osman KNMMH; Kloosterman HA; van Stralen KJ; Grimbergen MCM; Eijsbouts QAJ; van den Dobbelsteen JJ; Twinanda AP
Surg Endosc; 2021 Nov; 35(11):6150-6157. PubMed ID: 33237461
[TBL] [Abstract][Full Text] [Related]
17. Weakly Supervised Temporal Convolutional Networks for Fine-Grained Surgical Activity Recognition.
Ramesh S; Dall'Alba D; Gonzalez C; Yu T; Mascagni P; Mutter D; Marescaux J; Fiorini P; Padoy N
IEEE Trans Med Imaging; 2023 Sep; 42(9):2592-2602. PubMed ID: 37030859
[TBL] [Abstract][Full Text] [Related]
18. Automated laparoscopic colorectal surgery workflow recognition using artificial intelligence: Experimental research.
Kitaguchi D; Takeshita N; Matsuzaki H; Oda T; Watanabe M; Mori K; Kobayashi E; Ito M
Int J Surg; 2020 Jul; 79():88-94. PubMed ID: 32413503
[TBL] [Abstract][Full Text] [Related]
19. EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos.
Twinanda AP; Shehata S; Mutter D; Marescaux J; de Mathelin M; Padoy N
IEEE Trans Med Imaging; 2017 Jan; 36(1):86-97. PubMed ID: 27455522
[TBL] [Abstract][Full Text] [Related]
20. Real-time automatic surgical phase recognition in laparoscopic sigmoidectomy using the convolutional neural network-based deep learning approach.
Kitaguchi D; Takeshita N; Matsuzaki H; Takano H; Owada Y; Enomoto T; Oda T; Miura H; Yamanashi T; Watanabe M; Sato D; Sugomori Y; Hara S; Ito M
Surg Endosc; 2020 Nov; 34(11):4924-4931. PubMed ID: 31797047
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]