output
20202026
most citedRendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos

210 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 16 cited

Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning

Aditya Murali, Deepak Alapatt, Pietro Mascagni +5

Recently, spatiotemporal graphs have emerged as a concise and elegant manner of representing video clips in an object-centric fashion, and have shown to be useful for downstream ta…

cs.CV2023★ 24 cited

The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark

Aditya Murali, Deepak Alapatt, Pietro Mascagni +8

This technical report provides a detailed overview of Endoscapes, a dataset of laparoscopic cholecystectomy (LC) videos with highly intricate annotations targeted at automated asse…

cs.LG2023★ 90 cited

Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study

Patrick Saux, Pierre Bauvin, Violeta Raverdy +31

Background Weight loss trajectories after bariatric surgery vary widely between individuals, and predicting weight loss before the operation remains challenging. We aimed to develo…

cs.CV2023★ 14 cited

Weakly Supervised Temporal Convolutional Networks for Fine-grained Surgical Activity Recognition

Sanat Ramesh, Diego Dall'Alba, Cristians Gonzalez +6

Automatic recognition of fine-grained surgical activities, called steps, is a challenging but crucial task for intelligent intra-operative computer assistance. The development of c…

eess.IV2023★ 42 cited

CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection

Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma +46

Formalizing surgical activities as triplets of the used instruments, actions performed, and target anatomies is becoming a gold standard approach for surgical activity modeling. Th…

cs.CV2023★ 23 cited

Preserving Privacy in Surgical Video Analysis Using Artificial Intelligence: A Deep Learning Classifier to Identify Out-of-Body Scenes in Endoscopic Videos

Joël L. Lavanchy, Armine Vardazaryan, Pietro Mascagni +3

Objective: To develop and validate a deep learning model for the identification of out-of-body images in endoscopic videos. Background: Surgical video analysis facilitates educatio…