Pietro Mascagni

Orcid: 0000-0001-7288-3023

According to our database1, Pietro Mascagni authored at least 29 papers between 2020 and 2024.

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Bibliography

2024
Latent Graph Representations for Critical View of Safety Assessment.
IEEE Trans. Medical Imaging, March, 2024

Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain Transfer.
CoRR, 2024

2023
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.
Medical Image Anal., October, 2023

Weakly Supervised Temporal Convolutional Networks for Fine-Grained Surgical Activity Recognition.
IEEE Trans. Medical Imaging, September, 2023

TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos.
Int. J. Comput. Assist. Radiol. Surg., September, 2023

Live laparoscopic video retrieval with compressed uncertainty.
Medical Image Anal., August, 2023

Federated benchmarking of medical artificial intelligence with MedPerf.
Nat. Mac. Intell., July, 2023

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.
Medical Image Anal., May, 2023

Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases.
IEEE Trans. Medical Imaging, 2023

The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark.
CoRR, 2023

MOSaiC: a Web-based Platform for Collaborative Medical Video Assessment and Annotation.
CoRR, 2023

Jumpstarting Surgical Computer Vision.
CoRR, 2023

Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lectures.
CoRR, 2023

Preserving Privacy in Surgical Video Analysis Using Artificial Intelligence: A Deep Learning Classifier to Identify Out-of-Body Scenes in Endoscopic Videos.
CoRR, 2023

Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Computer vision in surgery: from potential to clinical value.
npj Digit. Medicine, 2022

A Delphi consensus statement for digital surgery.
npj Digit. Medicine, 2022

Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos.
Medical Image Anal., 2022

Surgical data science - from concepts toward clinical translation.
Medical Image Anal., 2022

Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation.
CoRR, 2022

Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phases.
CoRR, 2022

2021
Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation.
CoRR, 2021

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.
CoRR, 2021

Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety.
CoRR, 2021

Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures.
Int. J. Comput. Assist. Radiol. Surg., 2021

2020
Surgical Data Science - from Concepts to Clinical Translation.
CoRR, 2020

Artificial Intelligence in Surgery: Neural Networks and Deep Learning.
CoRR, 2020

Automatic task recognition in a flexible endoscopy benchtop trainer with semi-supervised learning.
Int. J. Comput. Assist. Radiol. Surg., 2020

Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020


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