نتائج البحث - "Oula Puonti"

1

A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis

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

2

Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling

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

3

Accurate anatomical head segmentations: a data set for biomedical simulations

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

4

A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning

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

5

Skull segmentation from MR scans using a higher-order shape model based on convolutional restricted Boltzmann machines

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

6

An automatically generated texture-based atlas of the lungs

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

7

Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape

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@MICCAI

مصطلحات 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

8

Simultaneous Whole-Brain Segmentation and White Matter Lesion Detection Using Contrast-Adaptive Probabilistic Models

المؤلفون: Koen Van Leemput, Oula Puonti

المصدر: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783319308579
Brainles@MICCAI

مصطلحات 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

9

An Ensemble of 2D Convolutional Neural Networks for Tumor Segmentation

المؤلفون: Mark Lyksborg, Oula Puonti, Rasmus Larsen, Mikael Agn

المصدر: Image Analysis ISBN: 9783319196640
SCIA

مصطلحات موضوعية: Computer science, Tumor region, business.industry, GrowCut algorithm, Radiotherapy treatment, Segmentation, Pattern recognition, Artificial intelligence, Brain tumor segmentation, business, Convolutional neural network, Cellular automaton, Tumor segmentation

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::878c24482dc7125b61f8bc686be3fc0cTest
https://doi.org/10.1007/978-3-319-19665-7_17Test

10

Personalization of Multi-electrode Setups in tCS/tES: Methods and Advantages

المؤلفون: M. Splittgerber, R. Salvador, Giulio Ruffini, Oula Puonti, Vera Moliadze, Maria Chiara Biagi, Michael Siniatchkin, Axel Thielscher

المصدر: Brain and Human Body Modeling 2020
Brain and Human Body Modeling 2020 ISBN: 9783030456221
Brain and Human Body Modeling 2020-Computational Human Models Presented at EMBC 2019 and the BRAIN Initiative® 2019 Meeting

مصطلحات موضوعية: Optimization algorithm, Computer science, business.industry, 05 social sciences, Pattern recognition, Electrode montage, 050105 experimental psychology, Personalization, 03 medical and health sciences, 0302 clinical medicine, Head model, Electrode, 0501 psychology and cognitive sciences, Artificial intelligence, business, 030217 neurology & neurosurgery, Mri segmentation

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::183c61383d76978efe3a75fa870a09b7Test

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