127 related articles for article (PubMed ID: 38872018)
1. A surgical activity model of laparoscopic cholecystectomy for co-operation with collaborative robots.
Younis R; Yamlahi A; Bodenstedt S; Scheikl PM; Kisilenko A; Daum M; Schulze A; Wise PA; Nickel F; Mathis-Ullrich F; Maier-Hein L; Müller-Stich BP; Speidel S; Distler M; Weitz J; Wagner M
Surg Endosc; 2024 Jun; ():. PubMed ID: 38872018
[TBL] [Abstract][Full Text] [Related]
2. Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.
Wagner M; Müller-Stich BP; Kisilenko A; Tran D; Heger P; Mündermann L; Lubotsky DM; Müller B; Davitashvili T; Capek M; Reinke A; Reid C; Yu T; Vardazaryan A; Nwoye CI; Padoy N; Liu X; Lee EJ; Disch C; Meine H; Xia T; Jia F; Kondo S; Reiter W; Jin Y; Long Y; Jiang M; Dou Q; Heng PA; Twick I; Kirtac K; Hosgor E; Bolmgren JL; Stenzel M; von Siemens B; Zhao L; Ge Z; Sun H; Xie D; Guo M; Liu D; Kenngott HG; Nickel F; Frankenberg MV; Mathis-Ullrich F; Kopp-Schneider A; Maier-Hein L; Speidel S; Bodenstedt S
Med Image Anal; 2023 May; 86():102770. PubMed ID: 36889206
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Artificial intelligence-based automated laparoscopic cholecystectomy surgical phase recognition and analysis.
Cheng K; You J; Wu S; Chen Z; Zhou Z; Guan J; Peng B; Wang X
Surg Endosc; 2022 May; 36(5):3160-3168. PubMed ID: 34231066
[TBL] [Abstract][Full Text] [Related]
5. Return Strategy and Machine Learning Optimization of Tennis Sports Robot for Human Motion Recognition.
Wang Y; Yang X; Wang L; Hong Z; Zou W
Front Neurorobot; 2022; 16():857595. PubMed ID: 35574231
[TBL] [Abstract][Full Text] [Related]
6. Development and Validation of a Model for Laparoscopic Colorectal Surgical Instrument Recognition Using Convolutional Neural Network-Based Instance Segmentation and Videos of Laparoscopic Procedures.
Kitaguchi D; Lee Y; Hayashi K; Nakajima K; Kojima S; Hasegawa H; Takeshita N; Mori K; Ito M
JAMA Netw Open; 2022 Aug; 5(8):e2226265. PubMed ID: 35984660
[TBL] [Abstract][Full Text] [Related]
7. A methodology for the annotation of surgical videos for supervised machine learning applications.
Fischer E; Jawed KJ; Cleary K; Balu A; Donoho A; Thompson Gestrich W; Donoho DA
Int J Comput Assist Radiol Surg; 2023 Sep; 18(9):1673-1678. PubMed ID: 37245179
[TBL] [Abstract][Full Text] [Related]
8. Validation of Machine Learning-Based Automated Surgical Instrument Annotation Using Publicly Available Intraoperative Video.
Markarian N; Kugener G; Pangal DJ; Unadkat V; Sinha A; Zhu Y; Roshannai A; Chan J; Hung AJ; Wrobel BB; Anandkumar A; Zada G; Donoho DA
Oper Neurosurg (Hagerstown); 2022 Sep; 23(3):235-240. PubMed ID: 35972087
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.
Nwoye CI; Alapatt D; Yu T; Vardazaryan A; Xia F; Zhao Z; Xia T; Jia F; Yang Y; Wang H; Yu D; Zheng G; Duan X; Getty N; Sanchez-Matilla R; Robu M; Zhang L; Chen H; Wang J; Wang L; Zhang B; Gerats B; Raviteja S; Sathish R; Tao R; Kondo S; Pang W; Ren H; Abbing JR; Sarhan MH; Bodenstedt S; Bhasker N; Oliveira B; Torres HR; Ling L; Gaida F; Czempiel T; Vilaça JL; Morais P; Fonseca J; Egging RM; Wijma IN; Qian C; Bian G; Li Z; Balasubramanian V; Sheet D; Luengo I; Zhu Y; Ding S; Aschenbrenner JA; van der Kar NE; Xu M; Islam M; Seenivasan L; Jenke A; Stoyanov D; Mutter D; Mascagni P; Seeliger B; Gonzalez C; Padoy N
Med Image Anal; 2023 May; 86():102803. PubMed ID: 37004378
[TBL] [Abstract][Full Text] [Related]
12. A learning robot for cognitive camera control in minimally invasive surgery.
Wagner M; Bihlmaier A; Kenngott HG; Mietkowski P; Scheikl PM; Bodenstedt S; Schiepe-Tiska A; Vetter J; Nickel F; Speidel S; Wörn H; Mathis-Ullrich F; Müller-Stich BP
Surg Endosc; 2021 Sep; 35(9):5365-5374. PubMed ID: 33904989
[TBL] [Abstract][Full Text] [Related]
13. TEsoNet: knowledge transfer in surgical phase recognition from laparoscopic sleeve gastrectomy to the laparoscopic part of Ivor-Lewis esophagectomy.
Eckhoff JA; Ban Y; Rosman G; Müller DT; Hashimoto DA; Witkowski E; Babic B; Rus D; Bruns C; Fuchs HF; Meireles O
Surg Endosc; 2023 May; 37(5):4040-4053. PubMed ID: 36932188
[TBL] [Abstract][Full Text] [Related]
14. Development of deep learning framework for anatomical landmark detection and guided dissection line during laparoscopic cholecystectomy.
Smithmaitrie P; Khaonualsri M; Sae-Lim W; Wangkulangkul P; Jearanai S; Cheewatanakornkul S
Heliyon; 2024 Feb; 10(3):e25210. PubMed ID: 38327394
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Surgical phase modelling in minimal invasive surgery.
Meeuwsen FC; van Luyn F; Blikkendaal MD; Jansen FW; van den Dobbelsteen JJ
Surg Endosc; 2019 May; 33(5):1426-1432. PubMed ID: 30187202
[TBL] [Abstract][Full Text] [Related]
17. Preserving privacy in surgical video analysis using a deep learning classifier to identify out-of-body scenes in endoscopic videos.
Lavanchy JL; Vardazaryan A; Mascagni P; ; Mutter D; Padoy N
Sci Rep; 2023 Jun; 13(1):9235. PubMed ID: 37286660
[TBL] [Abstract][Full Text] [Related]
18. Human Robot Collaboration for Enhancing Work Activities.
Liu L; Schoen AJ; Henrichs C; Li J; Mutlu B; Zhang Y; Radwin RG
Hum Factors; 2024 Jan; 66(1):158-179. PubMed ID: 35345922
[TBL] [Abstract][Full Text] [Related]
19. Surgical Phase Recognition in Inguinal Hernia Repair-AI-Based Confirmatory Baseline and Exploration of Competitive Models.
Zang C; Turkcan MK; Narasimhan S; Cao Y; Yarali K; Xiang Z; Szot S; Ahmad F; Choksi S; Bitner DP; Filicori F; Kostic Z
Bioengineering (Basel); 2023 May; 10(6):. PubMed ID: 37370585
[TBL] [Abstract][Full Text] [Related]
20. Multicentric validation of EndoDigest: a computer vision platform for video documentation of the critical view of safety in laparoscopic cholecystectomy.
Mascagni P; Alapatt D; Laracca GG; Guerriero L; Spota A; Fiorillo C; Vardazaryan A; Quero G; Alfieri S; Baldari L; Cassinotti E; Boni L; Cuccurullo D; Costamagna G; Dallemagne B; Padoy N
Surg Endosc; 2022 Nov; 36(11):8379-8386. PubMed ID: 35171336
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]