Tidious 发表于 2025-3-28 16:32:12
http://reply.papertrans.cn/19/1863/186205/186205_41.png非秘密 发表于 2025-3-28 19:50:09
,Abstract: Kombination binärer Kontextfeatures mit Vantage Point Forests zur Multi-Organ-Segmentierulas) und deren Anpassung z.B. durch zeitintensive nichtlineare Registrierung . Bei der MICCAI 2016 Konferenz stellten wir ein registrierungsfreies Framework für die übertragung von Vorwissen in Form von segmentierten Trainingsdaten auf ungesehene Patienten mit Hilfe eines neuen starken KlassiGEAR 发表于 2025-3-29 01:00:43
http://reply.papertrans.cn/19/1863/186205/186205_43.pngconformity 发表于 2025-3-29 03:22:33
Extracting the Aorta Centerline in Contrast-Enhanced MRI,tarting from user-specified start and end regions, we extract the aorta path in between the regions automatically. The extraction is formulated as an optimization problem, seeking for the path that most likely runs central to the aorta. To this end, we exploit that the aorta distinguishes from the sDRAFT 发表于 2025-3-29 07:48:39
Noise Reduction in Low Dose DSA Imaging Using Pixel Adaptive SVD-Based Approach,ure of DSA image series to enable considerable reduction of radiation dose while maintaining low image noise level and preserving spatial resolution and temporal dynamics of the DSA series. The algorithm is based on the singular value decomposition (SVD) using a pixel adaptive approach for the noiseobsolete 发表于 2025-3-29 14:20:37
Skin Detection and Tracking for Camera-Based Photoplethysmography Using a Bayesian Classifier and Led area of measurement (region of interest: ROI) that has to be selected automatically for convenient application. Most works use common face detection algorithm for this purpose. However, these approaches often fail if the face is partly occluded or distorted. In this work, we propose an automaticguardianship 发表于 2025-3-29 18:07:07
http://reply.papertrans.cn/19/1863/186205/186205_47.png悦耳 发表于 2025-3-29 20:28:32
http://reply.papertrans.cn/19/1863/186205/186205_48.png表皮 发表于 2025-3-30 00:07:07
Self-Calibration and Simultaneous Motion Estimation for C-Arm CT Using Fiducial,hese systems to acquire images of the knee joint under weight-bearing conditions. During the scan, the patient is in a standing or in a squatting position and is likely to show involuntary motion, which corrupts image reconstruction. The state-of-the-art fully automatic motion compensation relies onrefine 发表于 2025-3-30 04:25:49
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