المؤلفون: Hasan H. Eroglu, Oula Puonti, Lars G. Hanson, Hartwig R. Siebner, Fróði Gregersen, Cihan Göksu, Axel Thielscher

المصدر: NeuroImage, Vol 243, Iss, Pp 118517-(2021)
NeuroImage
Eroğlu, H H, Puonti, O, Göksu, C, Gregersen, F, Siebner, H R, Hanson, L G & Thielscher, A 2021, ' On the reconstruction of magnetic resonance current density images of the human brain : Pitfalls and perspectives ', NeuroImage, vol. 243, 118517 . https://doi.org/10.1016/j.neuroimage.2021.118517Test

مصطلحات موضوعية: Scanner, Projected current density algorithm, Computer science, Cognitive Neuroscience, Hierarchical model selection, Neurosciences. Biological psychiatry. Neuropsychiatry, Signal-To-Noise Ratio, Current density imaging, Transcranial Direct Current Stimulation, Field (computer science), Magnetic resonance electrical impedance imaging, Data acquisition, Electric Impedance, Image Processing, Computer-Assisted, Humans, Computer Simulation, Statistical hypothesis testing, Ground truth, Brain, Magnetic Resonance Imaging, Magnetic resonance current density imaging, Neurology, Current (fluid), Current density, Algorithm, Algorithms, Volume (compression), RC321-571

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51c39c20cdbd484e0b6c993bcffce2a9Test
https://doi.org/10.1016/j.neuroimage.2021.118517Test

المؤلفون: Stefano Cerri, Hartwig R. Siebner, Jens Wuerfel, Mark Mühlau, Oula Puonti, Koen Van Leemput, Dominik Meier

المصدر: Cerri, S, Puonti, O, Meier, D S, Wuerfel, J, Mühlau, M, Siebner, H R & Van Leemput, K 2020, ' A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis ', NeuroImage, vol. 225, 117471 . https://doi.org/10.1016/j.neuroimage.2020.117471Test
NeuroImage, Vol 225, Iss, Pp 117471-(2021)
NeuroImage
Cerri, S, Puonti, O, Meier, D S, Wuerfel, J, Mühlau, M, Siebner, H R & Van Leemput, K 2021, ' A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis ', NeuroImage, vol. 225, 117471 . https://doi.org/10.1016/j.neuroimage.2020.117471Test

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Quantitative Biology - Quantitative Methods, Machine Learning (cs.LG), 0302 clinical medicine, Image Processing, Computer-Assisted, Contrast (vision), Segmentation, Gray Matter, Quantitative Methods (q-bio.QM), media_common, Lesion segmentation, Image and Video Processing (eess.IV), 05 social sciences, Brain, Magnetic Resonance Imaging, White Matter, ddc, Generative model, Neurology, Algorithms, Adaptive method, Cognitive Neuroscience, media_common.quotation_subject, White matter lesion, Neuroimaging, 050105 experimental psychology, Article, lcsh:RC321-571, Multiple sclerosis, 03 medical and health sciences, Image Interpretation, Computer-Assisted, FOS: Electrical engineering, electronic engineering, information engineering, medicine, Humans, 0501 psychology and cognitive sciences, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Whole-brain segmentation, business.industry, Pattern recognition, Electrical Engineering and Systems Science - Image and Video Processing, medicine.disease, Hyperintensity, FOS: Biological sciences, Artificial intelligence, Atrophy, business, 030217 neurology & neurosurgery

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c1db72ad48a733bc80cad2d60a5d7ffTest
http://arxiv.org/abs/2005.05135Test

المؤلفون: Kristoffer Hougaard Madsen, Koen Van Leemput, Hartwig R. Siebner, Axel Thielscher, Guilherme B. Saturnino, Oula Puonti

المصدر: Puonti, O, Van Leemput, K, Saturnino, G B, Siebner, H R, Madsen, K H & Thielscher, A 2020, ' Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling ', NeuroImage, vol. 219, 117044 . https://doi.org/10.1016/j.neuroimage.2020.117044Test
NeuroImage
Science Direct-Neuroimage
NeuroImage, Vol 219, Iss, Pp 117044-(2020)

مصطلحات موضوعية: Computer science, Cognitive Neuroscience, Electroencephalography, Transcranial Direct Current Stimulation, Article, 050105 experimental psychology, lcsh:RC321-571, 03 medical and health sciences, 0302 clinical medicine, Volume conductor modeling, Image Processing, Computer-Assisted, medicine, Humans, Computer Simulation, 0501 psychology and cognitive sciences, Segmentation, Non-invasive brain stimulation, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Brain Mapping, medicine.diagnostic_test, business.industry, 05 social sciences, Brain, Magnetoencephalography, Magnetic resonance imaging, Pattern recognition, Human brain, Magnetic Resonance Imaging, Transcranial Magnetic Stimulation, medicine.anatomical_structure, Neurology, Electromagnetic coil, Brain stimulation, Head segmentation, Artificial intelligence, business, Head, 030217 neurology & neurosurgery, MRI

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6d3c71646065cb22be137a37a4542fcTest
https://curis.ku.dk/portal/da/publications/accurate-and-robust-wholehead-segmentation-from-magnetic-resonance-images-for-individualized-head-modelingTest(6eeeafae-e1dc-4ad0-a561-ef3195617d43).html

المؤلفون: Juan Eugenio Iglesias, Koen Van Leemput, Oula Puonti

المصدر: Addi. Archivo Digital para la Docencia y la Investigación
instname
NeuroImage
Neuroimage
Puonti, O, Iglesias, J E & Van Leemput, K 2016, ' Fast and Sequence-Adaptive Whole-Brain Segmentation Using Parametric Bayesian Modeling ', NeuroImage, vol. 143, pp. 235–249 . https://doi.org/10.1016/j.neuroimage.2016.09.011Test

مصطلحات موضوعية: Adult, Computer science, Cognitive Neuroscience, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Parametric models, Datasets as Topic, Scale-space segmentation, COGNITIVE NEUROSCIENCE, Bayesian inference, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Segmentation, Image Processing, Computer-Assisted, medicine, Humans, Brain segmentation, Computer vision, NEUROLOGY, Parametric statistics, Models, Statistical, medicine.diagnostic_test, business.industry, Segmentation-based object categorization, Brain, Bayes Theorem, Magnetic resonance imaging, Atlases, Magnetic Resonance Imaging, Bayesian modeling, Neurology, Feature (computer vision), Artificial intelligence, business, 030217 neurology & neurosurgery, MRI

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fda2358f28dfcd6173217c63c91d8b12Test

المؤلفون: Silvia Farcito, Niels Kuster, Bryn A. Lloyd, Hazael Montanaro, Guilherme B. Saturnino, Jesper Duemose Nielsen, Esra Neufeld, Hartwig R. Siebner, Camilla Gøbel Madsen, Oula Puonti, Axel Thielscher

المصدر: EMBC
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

مصطلحات موضوعية: Models, Anatomic, Computer science, business.industry, Electric Conductivity, Pattern recognition, Image segmentation, 030218 nuclear medicine & medical imaging, Data set, 03 medical and health sciences, 0302 clinical medicine, Humans, Head (vessel), Computer Simulation, Artificial intelligence, business, Head, 030217 neurology & neurosurgery, Entire head

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc26d78a95ac943d0b982831139e1eedTest
https://doi.org/10.1109/embc.2019.8857041Test

المؤلفون: Axel Thielscher, Oula Puonti, G. Bicalho Saturnino, Kristoffer Hougaard Madsen

المصدر: The preprint server for Biology
bioRxiv

مصطلحات موضوعية: Human head, Field (physics), medicine.diagnostic_test, Computer science, 05 social sciences, Magnetoencephalography, medicine.disease, Brain mapping, 050105 experimental psychology, 03 medical and health sciences, Epilepsy, 0302 clinical medicine, Brain stimulation, Electric field, medicine, 0501 psychology and cognitive sciences, Algorithm, 030217 neurology & neurosurgery

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0a06fae00bbe28e05bd0ba4ee755655Test
https://doi.org/10.1101/611962Test

المؤلفون: Kristoffer Hougaard Madsen, Daria Antonenko, Oula Puonti, Jesper Duemose Nielsen, Axel Thielscher, Guilherme B. Saturnino

المصدر: Saturnino, G B, Puonti, O, Nielsen, J D, Antonenko, D, Madsen, K H & Thielscher, A 2019, SimNIBS 2.1: A Comprehensive Pipeline for Individualized Electric Field Modelling for Transcranial Brain Stimulation . in Brain and Human Body Modeling . Springer, pp. 3-25 . https://doi.org/10.1007/978-3-030-21293-3_1Test
Brain and Human Body Modeling
Brain and Human Body Modeling ISBN: 9783030212926
Brain and Human Body Modeling-Computational Human Modeling at EMBC 2018

مصطلحات موضوعية: 03 medical and health sciences, 0302 clinical medicine, Computer simulation, Computer science, Robustness (computer science), Human–computer interaction, Brain stimulation, 05 social sciences, 0501 psychology and cognitive sciences, Set (psychology), Pipeline (software), 030217 neurology & neurosurgery, 050105 experimental psychology

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7d306a01d321c97c758c886fc8229e3Test
https://orbit.dtu.dk/en/publications/1c52a957-b90b-4a07-b825-5f78e33c5ae4Test

المؤلفون: Per Munck af Rosenschöld, Laura Mancini, Mikael Agn, John Ashburner, Anastasia Papadaki, Michael Lundemann, Ian Law, Koen Van Leemput, Steffi Thust, Oula Puonti

المصدر: Medical Image Analysis
Agn, M, Munck af Rosenschöld, P, Puonti, O, Lundemann, M J, Mancini, L, Papadaki, A, Thust, S, Ashburner, J, Law, I & Van Leemput, K 2019, ' A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning ', Medical Image Analysis, vol. 54, pp. 220-237 . https://doi.org/10.1016/j.media.2019.03.005Test
Agn, M, Munck Af Rosenschöld, P, Puonti, O, Lundemann, M J, Mancini, L, Papadaki, A, Thust, S, Ashburner, J, Law, I & Van Leemput, K 2019, ' A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning ', Medical Image Analysis, vol. 54, pp. 220-237 . https://doi.org/10.1016/j.media.2019.03.005Test
Med Image Anal

مصطلحات موضوعية: Organs at Risk, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer science, Computer Vision and Pattern Recognition (cs.CV), medicine.medical_treatment, Boltzmann machine, Computer Science - Computer Vision and Pattern Recognition, Machine Learning (stat.ML), Health Informatics, Article, Machine Learning (cs.LG), 030218 nuclear medicine & medical imaging, Generative probabilistic model, 03 medical and health sciences, 0302 clinical medicine, Statistics - Machine Learning, Glioma, Image Processing, Computer-Assisted, medicine, Humans, Radiology, Nuclear Medicine and imaging, Segmentation, Radiation treatment planning, Whole-brain segmentation, Restricted Boltzmann machine, Modality (human–computer interaction), Radiological and Ultrasound Technology, Brain Neoplasms, business.industry, Radiotherapy Planning, Computer-Assisted, Pattern recognition, medicine.disease, Magnetic Resonance Imaging, Computer Graphics and Computer-Aided Design, 3. Good health, Radiation therapy, Generative model, Neural Networks, Computer, Computer Vision and Pattern Recognition, Artificial intelligence, Glioblastoma, business, 030217 neurology & neurosurgery

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8406e19ce80f180deb68e6dc621ecfb0Test

المؤلفون: Kristoffer Hougaard Madsen, Axel Thielscher, Oula Puonti, Guilherme B. Saturnino

المصدر: Puonti, O, Saturnino, G B, Madsen, K H & Thielscher, A 2020, ' Value and limitations of intracranial recordings for validating electric field modeling for transcranial brain stimulation ', NeuroImage, vol. 208, 116431 . https://doi.org/10.1016/j.neuroimage.2019.116431Test
NeuroImage, Vol 208, Iss, Pp 116431-(2020)
NeuroImage

مصطلحات موضوعية: Adult, Field (physics), Computer science, Cognitive Neuroscience, Neuroimaging, Validation Studies as Topic, Transcranial Direct Current Stimulation, Brain mapping, 050105 experimental psychology, lcsh:RC321-571, TDCS, 03 medical and health sciences, Epilepsy, 0302 clinical medicine, medicine, Humans, 0501 psychology and cognitive sciences, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, TACS, Errors-in-variables regression, medicine.diagnostic_test, 05 social sciences, Volume conductor model, Brain, Bayes Theorem, Magnetic resonance imaging, Magnetoencephalography, Models, Theoretical, medicine.disease, Magnetic Resonance Imaging, Bayesian regression, Neurology, Brain stimulation, Regression Analysis, Electrocorticography, Transcranial brain stimulation, Algorithm, 030217 neurology & neurosurgery

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::159b250a0f79773ee92d9245efc13fe0Test
https://doi.org/10.1016/j.neuroimage.2019.116431Test

المؤلفون: Axel Thielscher, Koen Van Leemput, Jesper Duemose Nielsen, Christian Bauer, Hartwig R. Siebner, Kristoffer Hougaard Madsen, Oula Puonti

المساهمون: Elsa D. Angelini, Bennett A. Landman

المصدر: Medical Imaging: Image Processing
Puonti, O, Van Leemput, K, Nielsen, J D, Bauer, C, Siebner, H R, Madsen, K H & Thielscher, A 2018, Skull segmentation from MR scans using a higher-order shape model based on convolutional restricted Boltzmann machines . in E D A & B A L (eds), Medical Imaging 2018: Image Processing . vol. 10574, SPIE-International Society for Optical Engineering, Proceedings of SPIE-The International Society for Optical Engineering, SPIE Medical Imaging 2018, Houston, Texas, United States, 10/02/2018 . https://doi.org/10.1117/12.2293073Test

مصطلحات موضوعية: Skull segmentation, Computer science, medicine.medical_treatment, Boltzmann machine, 02 engineering and technology, Electroencephalography, 03 medical and health sciences, 0302 clinical medicine, Shape modeling, 0202 electrical engineering, electronic engineering, information engineering, medicine, Segmentation, Transcranial direct-current stimulation, medicine.diagnostic_test, Human head, business.industry, Magnetic resonance imaging, Pattern recognition, Transcranial magnetic stimulation, Skull, medicine.anatomical_structure, Brain stimulation, 020201 artificial intelligence & image processing, Artificial intelligence, Transcranial brain stimulation, business, Head modeling, 030217 neurology & neurosurgery, MRI

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dc89943a1c12a5d917aab622ba3e45aTest
https://doi.org/10.1117/12.2293073Test