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DTI segmentation via the combined analysis of connectivity maps and tensor distances.

, , , , , and . NeuroImage, 60 (2): 1025-1035 (2012)

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Building Blocks for Clinical Research in Adaptive Radiotherapy., , , , , , , , , and 1 other author(s). CURAC, page 139-144. (2015)A novel adaptive scoring system for segmentation validation with multiple reference masks., , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 796214. SPIE, (2011)Segmentation-Based Partial Volume Correction for Volume Estimation of Solid Lesions in CT., , , , , , , and . IEEE Trans. Med. Imaging, 33 (2): 462-480 (2014)Lesion segmentation and tracking for CT-based chemotherapy monitoring.. Jacobs University, (2013)Analysis of variability in manual liver tumor delineation in CT scans., , , , , , , and . ISBI, page 1974-1977. IEEE, (2011)Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering., , , and . CoRR, (2017)Quantitative and qualitative methods for efficient evaluation of multiple 3D organ segmentations., , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 1094914. SPIE, (2019)Sketch-Based Editing Tools for Tumour Segmentation in 3D Medical Images., , , and . Comput. Graph. Forum, 32 (8): 144-157 (2013)A General Framework for Automatic Detection of Matching Lesions in Follow-Up CT., , and . ISBI, page 843-846. IEEE, (2009)DTI segmentation via the combined analysis of connectivity maps and tensor distances., , , , , and . NeuroImage, 60 (2): 1025-1035 (2012)