Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos

Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures

(2021) Sanat Ramesh et al.   International Journal of Computer Assisted Radiology and Surgery

Offline identification of surgical deviations in laparoscopic rectopexy

(2020) Arnaud Huaulmé et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Proposing novel methods for gynecologic surgical action recognition on laparoscopic videos

(2020) Toktam Khatibi et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos

(2019) Chinedu Innocent Nwoye et al.   International Journal of Computer Assisted Radiology and Surgery

Segmenting and classifying activities in robot-assisted surgery with recurrent neural networks

(2019) Robert DiPietro et al.   International Journal of Computer Assisted Radiology and Surgery

CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions

(2019) Tom Vercauteren et al.   PROCEEDINGS OF THE IEEE

Real-time automatic surgical phase recognition in laparoscopic sigmoidectomy using the convolutional neural network-based deep learning approach

(2019) Daichi Kitaguchi et al.   SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES

Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks

(2018) Hassan Al Hajj et al.   MEDICAL IMAGE ANALYSIS

Outcome trends and safety measures after 30 years of laparoscopic cholecystectomy: a systematic review and pooled data analysis

(2018) Philip H. Pucher et al.   SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES

Feasibility and Value of the Critical View of Safety in Difficult Cholecystectomies

(2018) Emanuele Felli et al.   ANNALS OF SURGERY

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

(2017) Andru P. Twinanda et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Surgical data science for next-generation interventions

(2017) Lena Maier-Hein et al.   Nature Biomedical Engineering

System events: readily accessible features for surgical phase detection

(2016) Anand Malpani et al.   International Journal of Computer Assisted Radiology and Surgery

Automatic data-driven real-time segmentation and recognition of surgical workflow

(2016) Olga Dergachyova et al.   International Journal of Computer Assisted Radiology and Surgery

Data-driven spatio-temporal RGBD feature encoding for action recognition in operating rooms

(2015) Andru P. Twinanda et al.   International Journal of Computer Assisted Radiology and Surgery

LapOntoSPM: an ontology for laparoscopic surgeries and its application to surgical phase recognition

(2015) Darko Katić et al.   International Journal of Computer Assisted Radiology and Surgery

Smoke detection in endoscopic surgery videos: a first step towards retrieval of semantic events

(2014) Constantinos Loukas et al.   International Journal of Medical Robotics and Computer Assisted Surgery