المؤلفون: Boyd, Aidan, Ye, Zezhong, Prabhu, Sanjay, Tjong, Michael C, Zha, Yining, Zapaishchykova, Anna, Vajapeyam, Sridhar, Hayat, Hasaan, Chopra, Rishi, Liu, Kevin X, Nabavidazeh, Ali, Resnick, Adam, Mueller, Sabine, Haas-Kogan, Daphne, Aerts, Hugo J W L, Poussaint, Tina, Kann, Benjamin H

المصدر: Boyd , A , Ye , Z , Prabhu , S , Tjong , M C , Zha , Y , Zapaishchykova , A , Vajapeyam , S , Hayat , H , Chopra , R , Liu , K X , Nabavidazeh , A , Resnick , A , Mueller , S , Haas-Kogan , D , Aerts , H J W L , Poussaint , T & Kann , B H 2023 ' Expert-level pediatric brain tumor segmentation in a limited data scenario with stepwise transfer learning ' MedRxiv . https://doi.org/10.1101/2023.06.29.23292048Test

مصطلحات موضوعية: Automatic Tumor Segmentation, Deep Neural Network, MRI, Pediatric Low-Grade Glioma, nnUNet

العلاقة: https://cris.maastrichtuniversity.nl/en/publications/5baa3e5b-6419-4393-a376-2394ea69ab78Test

الإتاحة: https://doi.org/10.1101/2023.06.29.23292048Test
https://cris.maastrichtuniversity.nl/en/publications/5baa3e5b-6419-4393-a376-2394ea69ab78Test

المؤلفون: Steed, Tyler C, Treiber, Jeffrey M, Patel, Kunal, Ramakrishnan, Valya, Merk, Alexander, Smith, Amanda R, Carter, Bob S, Dale, Anders M, Chow, Lionel ML, Chen, Clark C

المصدر: Oncotarget. 7(18)

مصطلحات موضوعية: Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Rare Diseases, Cancer, Brain Disorders, Brain Cancer, Neurosciences, Adult, Aged, Brain Neoplasms, Female, Glioblastoma, Humans, Image Processing, Computer-Assisted, Lateral Ventricles, Magnetic Resonance Imaging, Male, Middle Aged, glioblastoma, MR imaging, subventricular zone, subtypes, automatic tumor segmentation, Oncology and carcinogenesis

وصف الملف: application/pdf

الوصول الحر: https://escholarship.org/uc/item/8zb5t469Test

المؤلفون: Lars Bielak, Nicole Wiedenmann, Arnie Berlin, Nils Henrik Nicolay, Deepa Darshini Gunashekar, Leonard Hägele, Thomas Lottner, Anca-Ligia Grosu, Michael Bock

المصدر: Radiation Oncology, Vol 15, Iss 1, Pp 1-9 (2020)

مصطلحات موضوعية: Multi-parametric MRI, Radiation therapy, Automatic tumor segmentation, Convolutional neuronal network, Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

وصف الملف: electronic resource

العلاقة: http://link.springer.com/article/10.1186/s13014-020-01618-zTest; https://doaj.org/toc/1748-717XTest

الوصول الحر: https://doaj.org/article/0bbef60024804f9997e3d3e1de751dd2Test

المؤلفون: Lars Bielak, Nicole Wiedenmann, Nils Henrik Nicolay, Thomas Lottner, Johannes Fischer, Hatice Bunea, Anca-Ligia Grosu, Michael Bock

المصدر: Tomography; Volume 5; Issue 3; Pages: 292-299

مصطلحات موضوعية: Multi-parametric MRI, radiation therapy, automatic tumor segmentation, convolutional neuronal network

وصف الملف: application/pdf

العلاقة: https://dx.doi.org/10.18383/j.tom.2019.00010Test

الإتاحة: https://doi.org/10.18383/j.tom.2019.00010Test

المؤلفون: Nils H. Nicolay, Lars Bielak, Anca-Ligia Grosu, Nicole Wiedenmann, H. Bunea, Thomas Lottner, Johannes Fischer, Michael Bock

المصدر: Tomography
Volume 5
Issue 3
Pages 292-299
Tomography; Volume 5; Issue 3; Pages: 292-299

مصطلحات موضوعية: Male, Computer science, Sensitivity and Specificity, Convolutional neural network, radiation therapy, Automation, Sørensen–Dice coefficient, Distortion, Image Processing, Computer-Assisted, Humans, Effective diffusion coefficient, Radiology, Nuclear Medicine and imaging, Segmentation, Prospective Studies, Multiparametric Magnetic Resonance Imaging, Multi-parametric MRI, automatic tumor segmentation, convolutional neuronal network, Radiation treatment planning, Research Articles, business.industry, Pattern recognition, Diffusion Magnetic Resonance Imaging, Head and Neck Neoplasms, Carcinoma, Squamous Cell, Female, Radiotherapy, Adjuvant, Neural Networks, Computer, Artificial intelligence, business, Student's t-test

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b2c52fb116d761eb1113e69a1f3d0e4Test

المؤلفون: Wang, Fang, Lian, Chunfeng, Vera, Pierre, Ruan, Su

المساهمون: Service de médecine nucléaire Rouen, CRLCC Haute Normandie-Centre de Lutte Contre le Cancer Henri Becquerel Normandie Rouen (CLCC Henri Becquerel), Equipe Quantification en Imagerie Fonctionnelle (QuantIF-LITIS), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Université Le Havre Normandie (ULH), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)

المصدر: ISSN: 0942-4962.

مصطلحات موضوعية: 3D, PET images, Theory of belief functions, Adaptive kernel metric, Unsupervised learning, Automatic tumor segmentation, [SDV]Life Sciences [q-bio]

العلاقة: hal-01676312; https://hal.science/hal-01676312Test

الإتاحة: https://hal.science/hal-01676312Test

المؤلفون: Su Ruan, Chunfeng Lian, Pierre Vera, Fang Wang

المساهمون: Service de médecine nucléaire [Rouen], CRLCC Haute Normandie-Centre de Lutte Contre le Cancer Henri Becquerel Normandie Rouen (CLCC Henri Becquerel), Equipe Quantification en Imagerie Fonctionnelle (QuantIF-LITIS), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Normandie Université (NU)

المصدر: Multimedia Systems
Multimedia Systems, Springer Verlag, 2019, 25 (2), pp.127-133

مصطلحات موضوعية: Computer Networks and Communications, Computer science, [SDV]Life Sciences [q-bio], ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, computer.software_genre, Unsupervised learning, Image (mathematics), Computer graphics, Voxel, 0202 electrical engineering, electronic engineering, information engineering, Media Technology, Cluster analysis, Clinical Oncology, business.industry, PET images, 020207 software engineering, Pattern recognition, Theory of belief functions, Automatic tumor segmentation, ComputingMethodologies_PATTERNRECOGNITION, Adaptive kernel metric, Hardware and Architecture, Metric (mathematics), 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Software, Information Systems, Tumor segmentation, 3D

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4eaa6f4cc80bca9c192e149a0eba0248Test
https://hal.archives-ouvertes.fr/hal-01676312Test

المؤلفون: Jeffrey M. Treiber, Amanda Smith, Tyler Steed, Bob S. Carter, Valya Ramakrishnan, Kunal S. Patel, Anders M. Dale, Alexander Merk, Lionel M.L. Chow, Clark C. Chen

المصدر: Oncotarget

مصطلحات موضوعية: Adult, Male, 0301 basic medicine, Pathology, medicine.medical_specialty, animal diseases, Subventricular zone, Pathogenesis, 03 medical and health sciences, 0302 clinical medicine, Lateral Ventricles, Image Processing, Computer-Assisted, medicine, Humans, PTEN, Tumor location, neoplasms, Aged, Multimodal imaging, biology, Brain Neoplasms, subtypes, glioblastoma, subventricular zone, Cancer, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Mr imaging, nervous system diseases, automatic tumor segmentation, 030104 developmental biology, medicine.anatomical_structure, nervous system, Oncology, biology.protein, Female, 030217 neurology & neurosurgery, Priority Research Paper, MR imaging, Glioblastoma

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d73442cd2848859a14fdbc8a702da70aTest
https://doi.org/10.18632/oncotarget.8551Test

المؤلفون: Lian, Chunfeng

مرشدي الرسالة: Compiègne, Ruan, Su, Denoeux, Thierry

مصطلحات موضوعية: Théorie des fonctions de croyances, Prédiction, Segmentation de tumeurs automatique, Tomographie par émission de positrons, Imagerie TEP/TDM, Tomodensitométrie, Clustering des données, Classification des données, Algorithmes automatiques, Apprentissage de métriques, Sélection de caractéristiques, Theory of belief functions, Feature selection, Distance metric learning, Data classification, Data clustering, Cancer therapy outcome prediction, Automatic tumor segmentation, PET/CT imaging, Emission tomography, Algorithms

الإتاحة: http://www.theses.fr/2017COMP2333/documentTest

المؤلفون: Lian, Chunfeng

المساهمون: Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Université de Technologie de Compiègne, Su Ruan, Thierry Denoeux, STAR, ABES

المصدر: Other [cs.OH]. Université de Technologie de Compiègne, 2017. English. ⟨NNT : 2017COMP2333⟩

مصطلحات موضوعية: [SPI.OTHER]Engineering Sciences [physics]/Other, PET/CT imaging, [SPI.OTHER] Engineering Sciences [physics]/Other, Cancer therapy outcome prediction, Emission tomography, Sélection de caractéristiques, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH], Classification des données, Theory of belief functions, Prédiction, Data clustering, Data classification, Tomodensitométrie, [INFO.INFO-OH] Computer Science [cs]/Other [cs.OH], Automatic tumor segmentation, Apprentissage de métriques, Distance metric learning, Segmentation de tumeurs automatique, Feature selection, Clustering des données, Théorie des fonctions de croyances, Tomographie par émission de positrons, Algorithms, Algorithmes automatiques, Imagerie TEP/TDM

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1f566ec8712b7ae0024ac69f71ca5142Test
https://tel.archives-ouvertes.fr/tel-01535758Test