Chandran, Vimal

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Chandran, Vimal; Maquer, Ghislain Bernard; Gerig, Thomas; Zysset, Philippe; Reyes, Mauricio (2019). Supervised learning for bone shape and cortical thickness estimation from CT images for finite element analysis. Medical image analysis, 52, pp. 42-55. Elsevier 10.1016/j.media.2018.11.001

Lu, Ping; Barazzetti, Livia; Chandran, Vimal; Gerber, Kate; Weber, Stefan; Gerber, Nicolas; Reyes, Mauricio (2018). Highly accurate Facial Nerve Segmentation Refinement from CBCT/CT Imaging using a Super Resolution Classification Approach. IEEE transactions on biomedical engineering, 65(1), pp. 178-188. Institute of Electrical and Electronics Engineers IEEE 10.1109/TBME.2017.2697916

Balsiger, Fabian; Shridhar Konar, Amaresha; Chikop, Shivaprasad; Chandran, Vimal; Scheidegger, Olivier; Geethanath, Sairam; Reyes, Mauricio (2018). Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks. In: Machine Learning for Medical Image Reconstruction. Lecture Notes in Computer Science: Vol. 11074 (pp. 39-46). Cham: Springer International Publishing 10.1007/978-3-030-00129-2_5

Taghizadeh, Elham; Chandran, Vimal; Reyes, Mauricio; Zysset, Philippe; Büchler, Philippe (2017). Statistical analysis of the inter-individual variations of the bone shape, volume fraction and fabric and their correlations in the proximal femur. Bone, 103, pp. 252-261. Elsevier 10.1016/j.bone.2017.07.012

Chandran, Vimal; Reyes, Mauricio; Zysset, Philippe (2017). A novel registration-based methodology for prediction of trabecular bone fabric from clinical QCT: A comprehensive analysis. PLoS ONE, 12(11), e0187874. Public Library of Science 10.1371/journal.pone.0187874

Lu, Ping; Barazzetti, Livia; Chandran, Vimal; Gavaghan, Kate; Weber, Stefan; Gerber, Nicolas; Reyes, Mauricio (2016). Super-Resolution Classification Improves Facial Nerve Segmentation from CBCT Imaging. In: CURAC 2016 : 15. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie. 29.09.-01.10.2016.

Chandran, Vimal; Zysset, Philippe; Reyes, Mauricio (October 2015). Prediction of Trabecular Bone Anisotropy from Quantitative Computed Tomography using Supervised Learning and a Novel Morphometric Feature Descriptor. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015. 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part I, 9349, pp. 621-628. Springer International Publishing 10.1007/978-3-319-24553-9_76

Lu, Ping; Barazzetti, Livia; Chandran, Vimal; Gerber, Kate; Weber, Stefan; Gerber, Nicolas; Reyes, Mauricio (August 2015). Facial Nerve Image Enhancement from CBCT using Supervised Learning Technique. IEEE Engineering in Medicine and Biology Society conference proceedings, 2015, pp. 2964-2967. IEEE Service Center 10.1109/EMBC.2015.7319014

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