Ron Kikinis, MD
Affiliations: | Radiology | Harvard Medical School, Boston, MA, United States |
Area:
surgical planning, neuroimagingGoogle:
"Ron Kikinis"Mean distance: 106866
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Publications
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Fedorov A, Hancock M, Clunie D, et al. (2020) DICOM re-encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules. Medical Physics |
Zhang F, Xie G, Leung L, et al. (2020) Creation of a novel trigeminal tractography atlas for automated trigeminal nerve identification. Neuroimage. 117063 |
Epprecht L, Qureshi A, Kozin ED, et al. (2020) Human Cochlear Nucleus on 7 Tesla Diffusion Tensor Imaging: Insights Into Micro-anatomy and Function for Auditory Brainstem Implant Surgery. Otology & Neurotology : Official Publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology. 41: e484-e493 |
Xie G, Zhang F, Leung L, et al. (2020) Anatomical assessment of trigeminal nerve tractography using diffusion MRI: A comparison of acquisition b-values and single- and multi-fiber tracking strategies. Neuroimage. Clinical. 25: 102160 |
Lemaire JJ, De Salles A, Coll G, et al. (2019) MRI Atlas of the Human Deep Brain. Frontiers in Neurology. 10: 851 |
Miller K, Joldes GR, Bourantas G, et al. (2019) Biomechanical modeling and computer simulation of the brain during neurosurgery. International Journal For Numerical Methods in Biomedical Engineering. e3250 |
Canalini L, Klein J, Miller D, et al. (2019) Segmentation-based registration of ultrasound volumes for glioma resection in image-guided neurosurgery. International Journal of Computer Assisted Radiology and Surgery |
Zaffino P, Pernelle G, Mastmeyer A, et al. (2019) Fully automatic catheter segmentation in MRI with 3D convolutional neural networks: application to MRI-guided gynecologic brachytherapy. Physics in Medicine and Biology |
Schwier M, van Griethuysen J, Vangel MG, et al. (2019) Repeatability of Multiparametric Prostate MRI Radiomics Features. Scientific Reports. 9: 9441 |
Nitsch J, Klein J, Dammann P, et al. (2019) Automatic and efficient MRI-US segmentations for improving intraoperative image fusion in image-guided neurosurgery. Neuroimage. Clinical. 22: 101766 |