ClipAssistNet: bringing real-time safety feedback to operating rooms

[1] Birkmeyer JD(2013)Surgical skill and complication rates after bariatric surgery New England J Med 369 1434-1442

[2] Finks JF(2019)Active learning using deep bayesian networks for surgical workflow analysis Int J Comput Assist Radiol Surg 14 1079-1087

[3] OReilly A(2015)Characterising ‘near miss’ events in complex laparoscopic surgery through video analysis BMJ Quality Safety 24 516-521

[4] Oerline M(2017)Vision-based and marker-less surgical tool detection and tracking: a review of the literature Med Image Anal 35 633-654

[5] Carlin AM(2018)Systematic review of cystic duct closure techniques in relation to prevention of bile duct leakage after laparoscopic cholecystectomy World J Gastrointest Surg 10 57-69

[6] Nunn AR(2008)Cystic duct stump leaks: after the learning curve Arch Surg 143 1178-1183

[7] Dimick J(2020)Multi-task recurrent convolutional network with correlation loss for surgical video analysis Med Image Anal 14 1059-1067

[8] Banerjee M(2018)Weakly supervised convolutional lstm approach for tool tracking in laparoscopic videos Int J Comput Assist Radiol Surg 83 1356-1360

[9] Birkmeyer NJ(1996)Incidence and nature of bile duct injuries following laparoscopic cholecystectomy: An audit of 5913 cases Br J Surg 13 925-933

[10] Bodenstedt S(2018)Exploiting the potential of unlabeled endoscopic video data with self-supervised learning Int J Comput Assist Radiol Surg 23 869-875

[1] Birkmeyer JD(2013)Surgical skill and complication rates after bariatric surgery New England J Med 369 1434-1442

[2] Finks JF(2019)Active learning using deep bayesian networks for surgical workflow analysis Int J Comput Assist Radiol Surg 14 1079-1087

[3] OReilly A(2015)Characterising ‘near miss’ events in complex laparoscopic surgery through video analysis BMJ Quality Safety 24 516-521

[4] Oerline M(2017)Vision-based and marker-less surgical tool detection and tracking: a review of the literature Med Image Anal 35 633-654

[5] Carlin AM(2018)Systematic review of cystic duct closure techniques in relation to prevention of bile duct leakage after laparoscopic cholecystectomy World J Gastrointest Surg 10 57-69

[6] Nunn AR(2008)Cystic duct stump leaks: after the learning curve Arch Surg 143 1178-1183

[7] Dimick J(2020)Multi-task recurrent convolutional network with correlation loss for surgical video analysis Med Image Anal 14 1059-1067

[8] Banerjee M(2018)Weakly supervised convolutional lstm approach for tool tracking in laparoscopic videos Int J Comput Assist Radiol Surg 83 1356-1360

[9] Birkmeyer NJ(1996)Incidence and nature of bile duct injuries following laparoscopic cholecystectomy: An audit of 5913 cases Br J Surg 13 925-933

[10] Bodenstedt S(2018)Exploiting the potential of unlabeled endoscopic video data with self-supervised learning Int J Comput Assist Radiol Surg 23 869-875