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Low-dose computed tomography via spatially adaptive Monte-Carlo reconstruction.

, , , , and . Comp. Med. Imag. and Graph., 37 (7-8): 438-449 (2013)

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Quantitative features for computer-aided melanoma classification using spatial heterogeneity of eumelanin and pheomelanin concentrations., , , , and . ISBI, page 59-62. IEEE, (2015)Numerical Demultiplexing of Color Image Sensor Measurements via Non-linear Random Forest Modeling., , , , and . CoRR, (2015)Physiological characterization of skin lesion using non-linear random forest regression model., , , , and . EMBC, page 3349-3352. IEEE, (2014)Markov-chain Monte Carlo-based image reconstruction for streak artefact reduction on contrast-enhanced computed tomography., , , , and . CMBBE: Imaging & Visualization, 2 (2): 67-75 (2014)Low-dose computed tomography via spatially adaptive Monte-Carlo reconstruction., , , , and . Comp. Med. Imag. and Graph., 37 (7-8): 438-449 (2013)Accuracy considerations in image-guided cardiac interventions: experience and lessons learned., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 7 (1): 13-25 (2012)A Machine Learning-Driven Approach to Computational Physiological Modeling of Skin Cancer., , , and . ICIAR, volume 10317 of Lecture Notes in Computer Science, page 79-86. Springer, (2017)Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs., , , , and . EMBC, page 6455-6458. IEEE, (2014)Predicting Target Vessel Location for Improved Planning of Robot-Assisted CABG Procedures., , , , , , , and . MICCAI (3), volume 6363 of Lecture Notes in Computer Science, page 205-212. Springer, (2010)Estimating heart shift and morphological changes during minimally invasive cardiac interventions., , , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 7625 of SPIE Proceedings, page 762509. SPIE, (2010)