Titlebook: Marine Productivity: Perturbations and Resilience of Socio-ecosystems; Proceedings of the 1 Hubert-Jean Ceccaldi,Yves Hénocque,Marie-Hélène

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Hideki Takami,Hiroshi Nakaieost. A boosted version of the Dynamic Time Warping (DTW) algorithm is used to create a surgical reference model and to segment a newly observed surgery. Full cross-validation on ten surgeries is performed and the method is compared to standard DTW and to Hidden Markov Models.

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Waka Sato-Okoshi,Hirokazu Abe,Kenji Okoshi,Wataru Teramoto,Jeremy Shaw,Byoung–Seol Koh,Yong-Hyun Kimimizes the user interaction time required for segmentation, and eliminates inter-subject variability. Our findings in 33 patients indicate that intra-procedural LAPV surface models accurately represent the anatomy at the time of intervention and are comparable to pre-procedural models derived from C

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只看該作者 · 發(fā)表于 2025-3-29 09:32:25

Toshiki Nakanoared to predictions based on fractional anisotropy and mean diffusivity averaged over the white matter and over the corpus callosum. Additionally, the predictions are performed based on the best predicting connection in the network. Principal component regression outperformed all other prediction mo

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Hisayuki Arakawa,Tadashi Tokai,Yoshinori Miyamoto,Seiji Akiyama,Keiichi Uchida,Akira Matsumoto,Miho jects. Finally, the perfusion curves that show the transportation of the contrast agent into the tissue are obtained from the segmented kidneys and used in the classification of normal and acute rejection transplants. Applications of the proposed approach yield promising results that would, in the n

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Fabienne Petit,Erick Denamur,Olivier Clermont,Roland Leclercq,Julien Deloffre,Vincent Cattoir,Kenny collapsed segmentation cases. Our automatic approach is extensively evaluated using a large multi-site dataset of 195 patient cases in training and 223 cases for testing. No external examination on the correctness of colon segmentation topology [2] is needed. The results show that we achieve signifi

只看該作者 · 發(fā)表于 2025-3-29 23:58:45

Fran?ois Galganie ROI prediction is formulated and solved as an energy minimization problem, in which the two learned models are used as energy terms. Our experiment results show that the average ROI prediction error is 3.45 mm, in comparison with the benchmark data provided by working memory task-based fMRI. Promi

只看該作者 · 發(fā)表于 2025-3-30 05:36:06

Takehisa Yamakita,Hiroyuki Yamamoto,Yuka Yokoyama,Izumi Sakamoto,Shinji Tsuchida,Dhugal Lindsay,Yoshm. Our method provides a more realistic and physically plausible solution with significantly less jitter. This quantitative result is confirmed by video output, which is much more consistent and robust, with fewer occasions of tracking loss or unexpected movement.

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