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Early and Late Fusion of Temporal Information for Classification of Surgical Actions in Laparoscopic Gynecology.

, , , , and . CBMS, page 369-374. IEEE Computer Society, (2018)

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Deep Learning for Shot Classification in Gynecologic Surgery Videos., and . MMM (1), volume 10132 of Lecture Notes in Computer Science, page 702-713. Springer, (2017)Challenges and Opportunities of Named Data Networking in Vehicle-To-Everything Communication: A Review., and . Information, 9 (11): 264 (2018)An Inception-like CNN Architecture for GI Disease and Anatomical Landmark Classification., , and . MediaEval, volume 1984 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Binary convolutional neural network features off-the-shelf for image to video linking in endoscopic multimedia databases, and . Multimedia Tools Appl., (2018)Early and Late Fusion of Temporal Information for Classification of Surgical Actions in Laparoscopic Gynecology., , , , and . CBMS, page 369-374. IEEE Computer Society, (2018)Real-Time Image-based Smoke Detection in Endoscopic Videos., , , and . ACM Multimedia (Thematic Workshops), page 296-304. ACM, (2017)Image-Based Smoke Detection in Laparoscopic Videos., , , and . CARE/CLIP@MICCAI, volume 10550 of Lecture Notes in Computer Science, page 70-87. Springer, (2017)Learning laparoscopic video shot classification for gynecological surgery., and . Multimedia Tools Appl., 77 (7): 8061-8079 (2018)Merge and Forward: A Self-Organized Inter-Destination Media Synchronization Scheme for Adaptive Media Streaming over HTTP., , and . MediaSync, Handbook on Multimedia Synchronization, Springer, (2018)Static vs. Dynamic Content Descriptors for Video Retrieval in Laparoscopy., , , , and . ISM, page 216-223. IEEE Computer Society, (2017)