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Mikhail Milchenko

Showing results (11-20 of 22) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Predicting a multi-parametric probability map of active tumor extent using random forestsFred W Prior, Sarah J Fouke, Tammie Benzinger, et al.
Movement Disorders : Official Journal of the Movement Disorder Society|November 19, 2020
Resting-State Functional Connectivity Predicts STN DBS Clinical ResponseJohn R Younce, Meghan C Campbell, Tamara Hershey, et al.
Neuroimaging Clinics of North America|October 8, 2017
Resting-state Functional Magnetic Resonance Imaging in Presurgical Functional Mapping: Sensorimotor LocalizationDonna Dierker, Jarod L Roland, Mudassar Kamran, et al.
Journal of Neuroscience Methods|November 19, 2023
Optimal approaches to analyzing functional MRI data in glioma patientsKi Yun Park, Joshua S Shimony, Satrajit Chakrabarty, et al.
Plos One|June 23, 2018
Integration of resting state functional MRI into clinical practice - A large single institution experienceEric C Leuthardt, Gloria Guzman, S Kathleen Bandt, et al.
Plos One|August 1, 2020
Mapping language function with task-based vs. resting-state functional MRIKi Yun Park, John J Lee, Donna Dierker, et al.
Plos One|November 15, 2019
Heterogeneity Diffusion Imaging of gliomas: Initial experience and validationQing Wang, Gloria J Guzmán Pérez-Carrillo, Maria Rosana Ponisio, et al.
Neuroimage|July 1, 2020
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic trainingSiddhesh Thakur, Jimit Doshi, Sarthak Pati, et al.
Arxiv|August 23, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Brain MR Image Synthesis for Tumor Segmentation (BraSyn)</i>Hongwei Bran Li, Gian Marco Conte, Qingqiao Hu, et al.
Neuro-Oncology|December 12, 2024
Machine learning-based prognostic subgrouping of glioblastoma: A multicenter studyHamed Akbari, Spyridon Bakas, Chiharu Sako, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Predicting a multi-parametric probability map of active tumor extent using random forestsFred W Prior, Sarah J Fouke, Tammie Benzinger, et al.
Movement Disorders : Official Journal of the Movement Disorder Society|November 19, 2020
Resting-State Functional Connectivity Predicts STN DBS Clinical ResponseJohn R Younce, Meghan C Campbell, Tamara Hershey, et al.
Neuroimaging Clinics of North America|October 8, 2017
Resting-state Functional Magnetic Resonance Imaging in Presurgical Functional Mapping: Sensorimotor LocalizationDonna Dierker, Jarod L Roland, Mudassar Kamran, et al.
Journal of Neuroscience Methods|November 19, 2023
Optimal approaches to analyzing functional MRI data in glioma patientsKi Yun Park, Joshua S Shimony, Satrajit Chakrabarty, et al.
Plos One|June 23, 2018
Integration of resting state functional MRI into clinical practice - A large single institution experienceEric C Leuthardt, Gloria Guzman, S Kathleen Bandt, et al.
Plos One|August 1, 2020
Mapping language function with task-based vs. resting-state functional MRIKi Yun Park, John J Lee, Donna Dierker, et al.
Plos One|November 15, 2019
Heterogeneity Diffusion Imaging of gliomas: Initial experience and validationQing Wang, Gloria J Guzmán Pérez-Carrillo, Maria Rosana Ponisio, et al.
Neuroimage|July 1, 2020
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic trainingSiddhesh Thakur, Jimit Doshi, Sarthak Pati, et al.
Arxiv|August 23, 2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Brain MR Image Synthesis for Tumor Segmentation (BraSyn)</i>Hongwei Bran Li, Gian Marco Conte, Qingqiao Hu, et al.
Neuro-Oncology|December 12, 2024
Machine learning-based prognostic subgrouping of glioblastoma: A multicenter studyHamed Akbari, Spyridon Bakas, Chiharu Sako, et al.
Pageof 3