Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation | Paper Citation Record

Observation 878fe5a4-d097-48d4-b576-30c3cd236452 · outbound

This paper cites Pso- convolutional neural networks with heterogeneous learning rate.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Pso- convolutional neural networks with heterogeneous learning rate

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:02.242892Z

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Observation 14c2dfa1-a4c9-46cf-b5a1-c03962d05281 · outbound

This paper cites Video action recognition col- laborative learning with dynamics via pso-convnet transformer.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Video action recognition col- laborative learning with dynamics via pso-convnet transformer

Reference 2

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Observation ed6e863e-03bc-41b9-bc19-01a764c23aef · outbound

This paper cites The development of a deep learning model for automated segmentation of the robotic pancreaticojejunostomy.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation The development of a deep learning model for automated segmentation of the robotic pancreaticojejunostomy

Reference 3

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This paper cites Y olo- extract: Improved yolov5 for aircraft object detection in remote sensing images.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Y olo- extract: Improved yolov5 for aircraft object detection in remote sensing images

Reference 4

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This paper cites Recurrent convolutional neural network for object recognition.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Recurrent convolutional neural network for object recognition

Reference 5

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This paper cites Object detection with discriminatively trained part-based mod- els.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Object detection with discriminatively trained part-based mod- els

Reference 6

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This paper cites k-nn attention-based video vision transformer for action recognition.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation k-nn attention-based video vision transformer for action recognition

Reference 7

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Observation 77c2425d-107c-4485-a935-1902b1119e04 · outbound

This paper cites Pattern Recognition: Contributions and Applications to Image Classification and Video Recognition.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Pattern Recognition: Contributions and Applications to Image Classification and Video Recognition

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:02.139047Z

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Observation 4640bf60-6211-41d3-9f1e-ef4ff41148ea · outbound

This paper cites Human crowd behaviour analysis based on video segmentation and classification using expectation–maximization with deep learning architectures.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Human crowd behaviour analysis based on video segmentation and classification using expectation–maximization with deep learning architectures

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:02.124331Z

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This paper cites A spatio-temporal network for video semantic segmentation in surgical videos.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation A spatio-temporal network for video semantic segmentation in surgical videos

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:02.109969Z

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Observation 7d2f1810-16c5-4ab9-a831-a5f9ffcbadf9 · outbound

This paper cites Abnormal event detection in surveillance videos based on low-rank and compact coefficient dictionary learning.Pattern Recognition, 108:107355, 2020.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Abnormal event detection in surveillance videos based on low-rank and compact coefficient dictionary learning.Pattern Recognition, 108:107355, 2020

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:02.095390Z

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Observation 2625a5a3-8fad-4798-8d18-1aef138d9b07 · outbound

This paper cites Human- like mechanism deep learning model for longitudinal motion control of autonomous vehicles.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Human- like mechanism deep learning model for longitudinal motion control of autonomous vehicles

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:02.080121Z

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Observation 9bdb25eb-72ab-4f52-ac35-7452aecf2758 · outbound

This paper cites AI applications in healthcare a comprehensive review of advancements and challenges.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation AI applications in healthcare a comprehensive review of advancements and challenges

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:02.064417Z

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Observation 218a7058-254c-479f-a190-934a7a3a4d08 · outbound

This paper cites Aklilu, Min Woo Sun, Shelly Goel, Sebastiano Bartoletti, Anita Rau, Griffin Olsen, Kay S.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Aklilu, Min Woo Sun, Shelly Goel, Sebastiano Bartoletti, Anita Rau, Griffin Olsen, Kay S

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:02.049544Z

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Observation 9c9c9fea-c38b-4fd4-a73e-607bdaede25a · outbound

This paper cites Clinical applications of artificial intelligence in robotic surgery.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Clinical applications of artificial intelligence in robotic surgery

Reference 15

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Observation ec65cf5c-dfaa-4fbe-a505-e9d6b2e82142 · outbound

This paper cites Preserving privacy in surgical video analysis using a deep learning classifier to identify out-of-body scenes in endoscopic videos.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Preserving privacy in surgical video analysis using a deep learning classifier to identify out-of-body scenes in endoscopic videos

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:02.019612Z

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Observation ebe9b915-924c-4612-bff4-c0a354ef56b2 · outbound

This paper cites Automated segmentation of phases, steps, and tasks in laparoscopic cholecystectomy using deep learning.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Automated segmentation of phases, steps, and tasks in laparoscopic cholecystectomy using deep learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:02.004284Z

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This paper cites Deep learning in surgical workflow analysis: a review of phase and step recognition.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Deep learning in surgical workflow analysis: a review of phase and step recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.987861Z

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This paper cites Real-time segmentation and recognition of surgical tasks in cataract surgery videos.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Real-time segmentation and recognition of surgical tasks in cataract surgery videos

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.971900Z

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This paper cites On-line recognition of surgical activity for monitoring in the operating room.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation On-line recognition of surgical activity for monitoring in the operating room

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.955322Z

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This paper cites Sv-rcnet: workflow recognition from surgical videos using recurrent convolutional network.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Sv-rcnet: workflow recognition from surgical videos using recurrent convolutional network

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.936977Z

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Observation d8da9e4f-0f13-4b31-aef4-0b114513986b · outbound

This paper cites Recurrent fully convolutional networks for video segmentation.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Recurrent fully convolutional networks for video segmentation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.919746Z

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Observation f5f4b48f-e93f-4a6b-9f4a-da75b191903e · outbound

This paper cites A deep learning framework for recognising surgical phases in laparoscopic videos.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation A deep learning framework for recognising surgical phases in laparoscopic videos

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.904057Z

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This paper cites Db-lstm: Densely-connected bi-directional lstm for human action recognition.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Db-lstm: Densely-connected bi-directional lstm for human action recognition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.886726Z

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This paper cites 3dfcnn: Real-time action recognition using 3d deep neural networks with raw depth information.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation 3dfcnn: Real-time action recognition using 3d deep neural networks with raw depth information

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.870546Z

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This paper cites Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network

Reference 26

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This paper cites Human action recognition based on temporal pose cnn and multi-dimensional fusion.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Human action recognition based on temporal pose cnn and multi-dimensional fusion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.855392Z

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This paper cites Flatten transformer: Vision transformer using focused linear attention.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Flatten transformer: Vision transformer using focused linear attention

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.839884Z

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.815858Z

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This paper cites Vivit: A video vision transformer.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Vivit: A video vision transformer

Reference 30

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Observation 2a7ae4cc-825c-4422-bfa8-1b3262427fe4 · outbound

This paper cites Endonet: a deep architecture for recognition tasks on laparoscopic videos.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Endonet: a deep architecture for recognition tasks on laparoscopic videos

Reference 31

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This paper cites Cataracts: Challenge on automatic tool annotation for cataract surgery.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Cataracts: Challenge on automatic tool annotation for cataract surgery

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.776072Z

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Observation 922fa9c2-fdf8-413f-b5ff-fdce1c311f7e · outbound

This paper cites M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification

Reference 33

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Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Unresolved cited work

Reference 34

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Observation 35eb641b-2f1e-42d9-a511-f267943fcded · outbound

This paper cites Comparison of video shot boundary detection techniques.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Comparison of video shot boundary detection techniques

Reference 35

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This paper cites Long-term recurrent convolutional networks for visual recognition and description.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Long-term recurrent convolutional networks for visual recognition and description

Reference 36

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This paper cites A novel keyframe extraction method for video classification using deep neural networks.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation A novel keyframe extraction method for video classification using deep neural networks

Reference 37

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Observation 095b4264-1b22-44c7-baf0-376fa2deec20 · outbound

This paper cites Fast and robust key frame extraction method for gesture video based on high-level feature representation.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Fast and robust key frame extraction method for gesture video based on high-level feature representation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.697226Z

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Observation ed9720c5-d68c-4511-b962-30ef7b184b32 · outbound

This paper cites Key frame extraction algorithm of motion video based on priori.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Key frame extraction algorithm of motion video based on priori

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.680695Z

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This paper cites Detecting moving objects, ghosts, and shadows in video streams.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Detecting moving objects, ghosts, and shadows in video streams

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.663650Z

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This paper cites Y ou only look once: Unified, real-time object detection.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Y ou only look once: Unified, real-time object detection

Reference 41

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This paper cites Rich fea- ture hierarchies for accurate object detection and semantic segmentation.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Rich fea- ture hierarchies for accurate object detection and semantic segmentation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.630594Z

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Observation dd02719f-6a5e-409d-aafe-9da226b07e44 · outbound

This paper cites Microsoft coco: Common objects in context.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Microsoft coco: Common objects in context

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.613028Z

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Observation 98b36d53-8ffb-4d39-8305-763342579c95 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Imagenet: A large-scale hierarchical image database

Reference 44

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This paper cites Labelme: a database and web-based tool for image annotation.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Labelme: a database and web-based tool for image annotation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.587371Z

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Observation 0629f730-a80b-4c6d-a3d6-7234ff24c941 · outbound

This paper cites Machine Learning-Based Automated Assessment of Intracorporeal Suturing in Laparoscopic Fundoplication.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Machine Learning-Based Automated Assessment of Intracorporeal Suturing in Laparoscopic Fundoplication

Reference 46

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T18:40:01.146849Z

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Observation 7ccb242c-9cdb-4370-a5f7-ca7649688e56 · outbound

This paper cites X3d: Expanding architectures for efficient video recognition.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation X3d: Expanding architectures for efficient video recognition

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.567339Z

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Observation 3ec4a74f-c979-4a31-b106-897cce118a71 · outbound

This paper cites Deep residual learning for image recognition.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Deep residual learning for image recognition

Reference 48

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Observation 40ec74bd-f7c7-4e7f-9137-fcc792377505 · outbound

This paper cites Metrics Matter in Surgical Phase Recognition.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Metrics Matter in Surgical Phase Recognition

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T18:40:00.979366Z

Source-reported events for the cited work

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Observation e20f06fa-8cbf-488c-87b8-6598ceaba1a4 · outbound

This paper cites Deep learning for surgical phase recognition using endoscopic videos.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Deep learning for surgical phase recognition using endoscopic videos

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.541101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 90182151-52c4-4cab-8d06-fdf71b1efcf0 · outbound

This paper cites Development of a code- free machine learning model for the classification of cataract surgery phases.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Development of a code- free machine learning model for the classification of cataract surgery phases

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.523863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba71e0aa-b4dd-4083-9fae-ff4f3229c9eb · outbound

This paper cites Sages consensus recommendations on an annotation framework for surgical video.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Sages consensus recommendations on an annotation framework for surgical video

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.508905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bd889843-5a39-471d-9521-025afbba0643 · outbound

This paper cites Artificial intelligence for phase recognition in complex laparoscopic cholecystectomy.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Artificial intelligence for phase recognition in complex laparoscopic cholecystectomy

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.488793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 84ff85c5-55bf-463c-a460-3c04d4327068 · outbound

This paper cites Machine learning for surgical phase recognition: a systematic review.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Machine learning for surgical phase recognition: a systematic review

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.473400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4ae4e068-5acf-4770-bf9e-62a57bd8b13b · outbound

This paper cites Phase segmentation methods for an automatic surgical workflow analysis.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Phase segmentation methods for an automatic surgical workflow analysis

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.458477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3815c08e-29a0-4258-82f7-c50da0e8ed41 · outbound

This paper cites Evaluating model performance with hard-swish activation function adjustments.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Evaluating model performance with hard-swish activation function adjustments

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.443476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a46f60c6-2953-4ef0-b416-5892edeb04e1 · outbound

This paper cites Two-frame motion estimation based on polynomial expansion.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Two-frame motion estimation based on polynomial expansion

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.429195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e2ec84ae-5220-4bb3-80e6-965740b455ca · outbound

This paper cites Robotic pancreaticoduodenectomy decreases the risk of clinically relevant post-operative pancreatic fistula: a propensity score matched nsqip analy- sis.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Robotic pancreaticoduodenectomy decreases the risk of clinically relevant post-operative pancreatic fistula: a propensity score matched nsqip analy- sis

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.413681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 357a19f1-478e-47a2-b8ad-6127e4e17a96 · outbound

This paper cites Finks, Nicholas H.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Finks, Nicholas H

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.398616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9d77be36-d8b8-479b-89ee-6e1f47e83daa · outbound

This paper cites Improved hospital morbidity, mortality, and survival after the whipple procedure.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Improved hospital morbidity, mortality, and survival after the whipple procedure

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.384721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 33a61353-f7fb-45c2-b8a5-5d8d4f51a892 · outbound

This paper cites Surgical ges- tures can be used to assess surgical competence in robot-assisted surgery: A validity investigating study of simulated rarp.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Surgical ges- tures can be used to assess surgical competence in robot-assisted surgery: A validity investigating study of simulated rarp

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.370410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cc2936a2-8102-44f4-a09b-651e50d7416a · outbound

This paper cites an unresolved cited work.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:40:01.356290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 375e97f6-ce87-45bb-a8a1-f42fdf7d863e · outbound

This paper cites Lovit: Long video transformer for surgical phase recognition.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Lovit: Long video transformer for surgical phase recognition

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.342695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6832c870-87b4-4d1d-a46b-9d1fda110cd1 · outbound

This paper cites Multi-task recurrent convolutional network with correlation loss for surgical video analysis.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Multi-task recurrent convolutional network with correlation loss for surgical video analysis

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.328183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6457bce-a417-4c99-88c6-e2cec0d026f4 · outbound

This paper cites Surgplan: Surgical phase localization network for phase recognition.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Surgplan: Surgical phase localization network for phase recognition

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.314439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 90ffe2fc-6c97-42ea-b60d-469d9fdf5408 · outbound

This paper cites Dynamic scene graph representation for surgical video.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Dynamic scene graph representation for surgical video

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.300636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d6483626-a94e-426e-87b2-c06057369c9d · outbound

This paper cites Last: Latent space- constrained transformers for automatic surgical phase recognition and tool presence detection.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Last: Latent space- constrained transformers for automatic surgical phase recognition and tool presence detection

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.286597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c65fa357-ece7-41cc-b1ad-3830e1e31eaa · outbound

This paper cites Keyframe extraction from laparoscopic videos based on visual saliency detection.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Keyframe extraction from laparoscopic videos based on visual saliency detection

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.271854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 069077ff-3b18-41f3-b55e-b5b59b81bd22 · outbound

This paper cites Mpeg: A video compression standard for multimedia applications.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Mpeg: A video compression standard for multimedia applications

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.257922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9754143f-15e9-440d-a958-01ae4bf5b458 · outbound

This paper cites Advanced capsule net- works via context awareness.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Advanced capsule net- works via context awareness

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.242436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f78205e1-de09-4569-b6f5-aec150cee1bb · outbound

This paper cites An improvement for capsule networks using depthwise separable convolution.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation An improvement for capsule networks using depthwise separable convolution

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.226941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 89b3a700-c19d-426a-8137-b5d187ee3d5a · outbound

This paper cites Action recognition for american sign language.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation Action recognition for american sign language

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:40:01.211105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Reference resolution

Outbound references

Pith citing papers