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Endoluminal surface registration for CT colonography using haustral fold matching.

, , , , , , , and . Medical Image Anal., 17 (8): 946-958 (2013)

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Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI., , , , , , , , , and 3 other author(s). CoRR, (2017)Automatic Segmentation of Polyps in Colonoscopic Narrow-Band Imaging Data., , and . IEEE Trans. Biomed. Eng., 59 (8): 2144-2151 (2012)PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks., , , and . ICPR, page 481-488. IEEE, (2020)Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network., , and . BMVC, BMVA Press, (2017)Improved CTA Coronary Segmentation with a Volume-Specific Intensity Threshold., , , , and . MIUA, volume 723 of Communications in Computer and Information Science, page 207-218. Springer, (2017)Shape-Based CT Lung Nodule Segmentation Using Five-Dimensional Mean Shift Clustering and Mem with Shape Information., , , , and . ISBI, page 482-485. IEEE, (2009)Sequential Segmentation of the Left Atrium and Atrial Scars Using a Multi-scale Weight Sharing Network and Boundary-Based Processing., , , and . LAScarQS@MICCAI, volume 13586 of Lecture Notes in Computer Science, page 69-82. Springer, (2022)Photometric Stereo Reconstruction for Surface Analysis of Mucosal Tissue., , , , and . MIUA, page 19-24. BMVA, (2014)ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning., , and . CoRR, (2023)Macrosight: A Novel Framework to Analyze the Shape and Movement of Interacting Macrophages Using Matlab®., , , and . J. Imaging, 5 (1): 17 (2019)