mlsanityData to 7 Oct 2026

TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks

arXiv 2003.10751 ↗First posted 24 Mar 2020eess.IV cs.CV cs.LGcited by 139

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Abstract (arXiv)

Automatic surgical phase recognition is a challenging and crucial task with the potential to improve patient safety and become an integral part of intra-operative decision-support systems. In this paper, we propose, for the first time in workflow analysis, a Multi-Stage Temporal Convolutional Network (MS-TCN) that performs hierarchical prediction refinement for surgical phase recognition. Causal, dilated convolutions allow for a large receptive field and online inference with smooth predictions even during ambiguous transitions. Our method is thoroughly evaluated on two datasets of laparoscopic cholecystectomy videos with and without the use of additional surgical tool information. Outperforming various state-of-the-art LSTM approaches, we verify the suitability of the proposed causal MS-TCN for surgical phase recognition.

Key facts. Cited by 139 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Mar 2020.

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Citing papers per year: 2021: 9; 2022: 19; 2023: 28; 2024: 27; 2025: 36; 2026: 20.

139 papers.

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  1. 2021Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformercited by 93
  2. 2021MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluationcited by 88
  3. 2022AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomycited by 85
  4. 2023Learning Multi-modal Representations by Watching Hundreds of Surgical Video Lecturescited by 68
  5. 2021OperA: Attention-Regularized Transformers for Surgical Phase Recognitioncited by 60
  6. 2023LoViT: Long Video Transformer for Surgical Phase Recognitioncited by 56
  7. 20224D-OR: Semantic Scene Graphs for OR Domain Modelingcited by 49
  8. 2022Dissecting Self-Supervised Learning Methods for Surgical Computer Visioncited by 48
  9. 2022CholecTriplet2021: A benchmark challenge for surgical action triplet recognitioncited by 44
  10. 2021Multi-Task Temporal Convolutional Networks for Joint Recognition of Surgical Phases and Steps in Gastric Bypass Procedurescited by 42
  11. 2024HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognitioncited by 41
  12. 2023Challenges in Multi-centric Generalization: Phase and Step Recognition in Roux-en-Y Gastric Bypass Surgerycited by 40
38 more
  1. 2022Latent Graph Representations for Critical View of Safety Assessmentcited by 37
  2. 2024LLaVA-Surg: Towards Multimodal Surgical Assistant via Structured Surgical Video Learningcited by 34
  3. 2024Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognitioncited by 32
  4. 2024OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understandingcited by 31
  5. 2022Rendezvous in Time: An Attention-based Temporal Fusion approach for Surgical Triplet Recognitioncited by 27
  6. 2024General surgery vision transformer: A video pre-trained foundation model for general surgerycited by 25
  7. 2025Scaling up self-supervised learning for improved surgical foundation modelscited by 25
  8. 2021Exploring Segment-level Semantics for Online Phase Recognition from Surgical Videoscited by 23
  9. 2023CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detectioncited by 22
  10. 2023Self-Supervised Learning for Endoscopic Video Analysiscited by 22
  11. 2023LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Roomscited by 21
  12. 2023Dynamic Scene Graph Representation for Surgical Videocited by 21
  13. 2021Not End-to-End: Explore Multi-Stage Architecture for Online Surgical Phase Recognitioncited by 20
  14. 2024EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videoscited by 20
  15. 2022On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysiscited by 19
  16. 2025LEMON: A Large Endoscopic MONocular Dataset and Foundation Model for Perception in Surgical Settingscited by 19
  17. 2022Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical Phasescited by 18
  18. 2023CholecTrack20: A Multi-Perspective Tracking Dataset for Surgical Toolscited by 17
  19. 2025SurgLaVi: Large-Scale Hierarchical Dataset for Surgical Vision-Language Representation Learningcited by 16
  20. 2023Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoningcited by 14
  21. 2024ORacle: Large Vision-Language Models for Knowledge-Guided Holistic OR Domain Modelingcited by 14
  22. 2022Less is More: Surgical Phase Recognition from Timestamp Supervisioncited by 13
  23. 2022An Empirical Study on Activity Recognition in Long Surgical Videoscited by 13
  24. 2023Metrics Matter in Surgical Phase Recognitioncited by 13
  25. 2023SurgPLAN: Surgical Phase Localization Network for Phase Recognitioncited by 12
  26. 2024Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resections with Pringle Maneuvercited by 12
  27. 2024VidLPRO: A underlineVideo-underlineLanguage underlinePre-training Framework for underlineRobotic and Laparoscopic Surgerycited by 12
  28. 2021Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Videocited by 10
  29. 2024PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgerycited by 10
  30. 2025Large-scale Self-supervised Video Foundation Model for Intelligent Surgerycited by 10
  31. 2023Self-distillation for surgical action recognitioncited by 9
  32. 2023DisguisOR: Holistic Face Anonymization for the Operating Roomcited by 9
  33. 2023Whether and When does Endoscopy Domain Pretraining Make Sense?cited by 8
  34. 2023Jumpstarting Surgical Computer Visioncited by 8
  35. 2024MuST: Multi-Scale Transformers for Surgical Phase Recognitioncited by 8
  36. 2025Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Reviewcited by 8
  37. 2022Retrieval of surgical phase transitions using reinforcement learningcited by 7
  38. 2023SurgMAE: Masked Autoencoders for Long Surgical Video Analysiscited by 7

50 most cited of 139 All 139 (JSON)