These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

117 related articles for article (PubMed ID: 37227905)

  • 1. LAST: LAtent Space-Constrained Transformers for Automatic Surgical Phase Recognition and Tool Presence Detection.
    Tao R; Zou X; Zheng G
    IEEE Trans Med Imaging; 2023 Nov; 42(11):3256-3268. PubMed ID: 37227905
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-task recurrent convolutional network with correlation loss for surgical video analysis.
    Jin Y; Li H; Dou Q; Chen H; Qin J; Fu CW; Heng PA
    Med Image Anal; 2020 Jan; 59():101572. PubMed ID: 31639622
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Surgical workflow recognition with temporal convolution and transformer for action segmentation.
    Zhang B; Goel B; Sarhan MH; Goel VK; Abukhalil R; Kalesan B; Stottler N; Petculescu S
    Int J Comput Assist Radiol Surg; 2023 Apr; 18(4):785-794. PubMed ID: 36542253
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Exploring Segment-Level Semantics for Online Phase Recognition From Surgical Videos.
    Ding X; Li X
    IEEE Trans Med Imaging; 2022 Nov; 41(11):3309-3319. PubMed ID: 35700259
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Temporal-based Swin Transformer network for workflow recognition of surgical video.
    Pan X; Gao X; Wang H; Zhang W; Mu Y; He X
    Int J Comput Assist Radiol Surg; 2023 Jan; 18(1):139-147. PubMed ID: 36331795
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. SF-TMN: SlowFast temporal modeling network for surgical phase recognition.
    Zhang B; Sarhan MH; Goel B; Petculescu S; Ghanem A
    Int J Comput Assist Radiol Surg; 2024 May; 19(5):871-880. PubMed ID: 38512588
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.
    Liu H; Zhuang Y; Song E; Xu X; Ma G; Cetinkaya C; Hung CC
    Med Phys; 2023 Sep; 50(9):5460-5478. PubMed ID: 36864700
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multi-Stage Temporal Convolutional Network with Moment Loss and Positional Encoding for Surgical Phase Recognition.
    Park M; Oh S; Jeong T; Yu S
    Diagnostics (Basel); 2022 Dec; 13(1):. PubMed ID: 36611399
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Laparoscopic Video Analysis Using Temporal, Attention, and Multi-Feature Fusion Based-Approaches.
    Jalal NA; Alshirbaji TA; Docherty PD; Arabian H; Laufer B; Krueger-Ziolek S; Neumuth T; Moeller K
    Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850554
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. A contextual detector of surgical tools in laparoscopic videos using deep learning.
    Namazi B; Sankaranarayanan G; Devarajan V
    Surg Endosc; 2022 Jan; 36(1):679-688. PubMed ID: 33559057
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Temporal Memory Relation Network for Workflow Recognition From Surgical Video.
    Jin Y; Long Y; Chen C; Zhao Z; Dou Q; Heng PA
    IEEE Trans Med Imaging; 2021 Jul; 40(7):1911-1923. PubMed ID: 33780335
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-speed transformer network for neurodegenerative disease assessment and activity recognition.
    Cheriet M; Dentamaro V; Hamdan M; Impedovo D; Pirlo G
    Comput Methods Programs Biomed; 2023 Mar; 230():107344. PubMed ID: 36706617
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry.
    Hasan MK; Calvet L; Rabbani N; Bartoli A
    Med Image Anal; 2021 May; 70():101994. PubMed ID: 33611053
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Cascade Multi-Level Transformer Network for Surgical Workflow Analysis.
    Yue W; Liao H; Xia Y; Lam V; Luo J; Wang Z
    IEEE Trans Med Imaging; 2023 Oct; 42(10):2817-2831. PubMed ID: 37037257
    [TBL] [Abstract][Full Text] [Related]  

  • 19. PATG: position-aware temporal graph networks for surgical phase recognition on laparoscopic videos.
    Kadkhodamohammadi A; Luengo I; Stoyanov D
    Int J Comput Assist Radiol Surg; 2022 May; 17(5):849-856. PubMed ID: 35353299
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 6.