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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.2020.117471Testمصطلحات 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 -
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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 -
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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.2016.09.011Testمصطلحات 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
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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 -
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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 Analمصطلحات 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
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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/10.1117/12.2293073Testمصطلحات 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 -
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المؤلفون: Yashin Dicente Cid, Koen Van Leemput, Oula Puonti, Henning Müller, Alexandra Platon, Pierre-Alexandre Alois Poletti
المصدر: Medical Imaging: Computer-Aided Diagnosis
مصطلحات موضوعية: Lung, Computer science, Atlas (topology), business.industry, Texture Descriptor, Unsupervised segmentation, Pattern recognition, CAD, medicine.disease, Texture (geology), Pulmonary embolism, medicine.anatomical_structure, medicine, Artificial intelligence, business, Visual abnormalities
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::dddf8585c8813e5c2d46a15ce9daf7dfTest
https://doi.org/10.1117/12.2294004Test -
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المؤلفون: Jesper Duemose Nielsen, Kristoffer Hougaard Madsen, Axel Thielscher, Guilherme B. Saturnino, Oula Puonti, Camilla Gøbel Madsen, Christian Bauer, Hartwig R. Siebner
المصدر: Nielsen, J D, Madsen, K H, Puonti, O, Siebner, H R, Bauer, C, Madsen, C G, Saturnino, G B & Thielscher, A 2018, ' Automatic skull segmentation from MR images for realistic volume conductor models of the head: Assessment of the state-of-the-art ', NeuroImage, vol. 174, pp. 587-598 . https://doi.org/10.1016/j.neuroimage.2018.03.001Test
مصطلحات موضوعية: Adult, Male, Skull segmentation, Computer science, Cognitive Neuroscience, medicine.medical_treatment, Electroencephalography, Transcranial Direct Current Stimulation, Models, Biological, 030218 nuclear medicine & medical imaging, Pattern Recognition, Automated, 03 medical and health sciences, Young Adult, 0302 clinical medicine, medicine, Image Processing, Computer-Assisted, Humans, Segmentation, Computer vision, medicine.diagnostic_test, Human head, Transcranial direct-current stimulation, business.industry, Skull, Volume conductor model, Brain, Magnetoencephalography, Reproducibility of Results, Magnetic resonance imaging, Magnetic Resonance Imaging, medicine.anatomical_structure, Neurology, Brain stimulation, Female, Forward modeling, Artificial intelligence, Transcranial brain stimulation, business, 030217 neurology & neurosurgery, Software
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc641e9c17671ad6969c5c7e8b211ecfTest
https://pubmed.ncbi.nlm.nih.gov/29518567Test -
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المؤلفون: Koen Van Leemput, Mikael Agn, Per Munck af Rosenschöld, Oula Puonti, Ian Law
المصدر: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783319308579
Brainles@MICCAIمصطلحات موضوعية: medicine.diagnostic_test, business.industry, Computer science, Boltzmann machine, Pattern recognition, Magnetic resonance imaging, Mixture model, Generative model, Fully automated, medicine, Artificial intelligence, Benchmark data, business, Brain tumor segmentation, Tumor segmentation
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::fb33129e8bb34d012c62eee262777af2Test
https://doi.org/10.1007/978-3-319-30858-6_15Test -
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المؤلفون: Koen Van Leemput, Oula Puonti
المصدر: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783319308579
Brainles@MICCAIمصطلحات موضوعية: Restricted Boltzmann machine, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Probabilistic logic, Pattern recognition, Lesion, Generative model, Discriminative model, Benchmark (computing), medicine, Brain segmentation, Segmentation, Artificial intelligence, medicine.symptom, business
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::b1606b9b9432fdd2cb15a00d11daca37Test
https://doi.org/10.1007/978-3-319-30858-6_2Test