Armine Vardazaryan

Orcid: 0000-0002-4488-566X

According to our database1, Armine Vardazaryan authored at least 15 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Self-Supervised Uncalibrated Multi-View Video Anonymization in the Operating Room.
CoRR, February, 2026

2025
Artificial Intelligence for the Assessment of Peritoneal Carcinosis during Diagnostic Laparoscopy for Advanced Ovarian Cancer.
CoRR, December, 2025

Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

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

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.
Medical Image Anal., May, 2023

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

The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark.
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
Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation.
CoRR, 2022

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

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark.
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

2018
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018


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