-
1دورية أكاديمية
المؤلفون: Hesham Elhalawani, Timothy A. Lin, Stefania Volpe, Abdallah S. R. Mohamed, Aubrey L. White, James Zafereo, Andrew J. Wong, Joel E. Berends, Shady AboHashem, Bowman Williams, Jeremy M. Aymard, Aasheesh Kanwar, Subha Perni, Crosby D. Rock, Luke Cooksey, Shauna Campbell, Pei Yang, Khahn Nguyen, Rachel B. Ger, Carlos E. Cardenas, Xenia J. Fave, Carlo Sansone, Gabriele Piantadosi, Stefano Marrone, Rongjie Liu, Chao Huang, Kaixian Yu, Tengfei Li, Yang Yu, Youyi Zhang, Hongtu Zhu, Jeffrey S. Morris, Veerabhadran Baladandayuthapani, John W. Shumway, Alakonanda Ghosh, Andrei Pöhlmann, Hady A. Phoulady, Vibhas Goyal, Guadalupe Canahuate, G. Elisabeta Marai, David Vock, Stephen Y. Lai, Dennis S. Mackin, Laurence E. Court, John Freymann, Keyvan Farahani, Jayashree Kaplathy-Cramer, Clifton D. Fuller
المصدر: Frontiers in Oncology, Vol 8 (2018)
مصطلحات موضوعية: machine learning, radiomics challenge, radiation oncology, head and neck, big data, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
وصف الملف: electronic resource
العلاقة: https://www.frontiersin.org/article/10.3389/fonc.2018.00294/fullTest; https://doaj.org/toc/2234-943XTest
-
2
المصدر: Journal of Chemical Neuroanatomy. 96:110-115
مصطلحات موضوعية: Male, 0301 basic medicine, Computer science, Stereology, law.invention, Mice, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, law, Image Processing, Computer-Assisted, Microtome, Animals, Point (geometry), Segmentation, Cell Nucleus, Neurons, Ground truth, Active contour model, business.industry, Pattern recognition, Immunohistochemistry, Rats, Inbred F344, Substantia Nigra, 030104 developmental biology, Pattern recognition (psychology), Artificial intelligence, Noise (video), business, 030217 neurology & neurosurgery
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e361232e80ee02a1e6571edb2bac74cTest
https://doi.org/10.1016/j.jchemneu.2018.12.012Test -
3
المؤلفون: João Pedrosa, Krishna Chaitanya Kaluva, Yizhuan Jia, Rongzhen Chen, Guilherme Aresta, Gurraj Atwal, Suthirth Vaidya, Zhongwei Sun, Zhenhuan Tian, Jiaoliang Li, Liansheng Wang, Antonio José Ledo Alves da Cunha, Xiaoyu Chen, Isabel Ramos, Xuejun Men, Sambit Tarai, Ildoo Kim, Carlos Abreu Ferreira, Abhijith Chunduru, Kiran Vaidhya, Adrian Galdran, Aurélio Campilho, Hady Ahmady Phoulady, Sai Prasad Pranav Nadimpalli, Alexandr G. Rassadin, Hamid Bouchachia
المصدر: Medical image analysis. 70
مصطلحات موضوعية: medicine.medical_specialty, Jaccard index, Lung Neoplasms, Databases, Factual, Health Informatics, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Radiology, Nuclear Medicine and imaging, Segmentation, Lung cancer, Survival rate, Retrospective Studies, Data collection, Radiological and Ultrasound Technology, business.industry, Cancer, Solitary Pulmonary Nodule, Nodule (medicine), medicine.disease, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Radiology, medicine.symptom, business, Tomography, X-Ray Computed, 030217 neurology & neurosurgery, Kappa, Algorithms
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca99ada983dbb5440760c42ba5960d1bTest
https://pubmed.ncbi.nlm.nih.gov/33740739Test -
4
المؤلفون: Gurraj Atwal, Hady Ahmady Phoulady
المصدر: Lecture Notes in Computer Science ISBN: 9783030505158
ICIAR (2)مصطلحات موضوعية: Computer science, business.industry, Deep learning, Cancer, Early detection, medicine.disease, Machine learning, computer.software_genre, Convolutional neural network, 030218 nuclear medicine & medical imaging, Task (project management), 03 medical and health sciences, 0302 clinical medicine, medicine, False positive paradox, Segmentation, Artificial intelligence, Lung cancer, business, computer, 030217 neurology & neurosurgery
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::ac8883fdc014d19ee23b76ced6294bafTest
https://doi.org/10.1007/978-3-030-50516-5_36Test -
5
المصدر: Computerized Medical Imaging and Graphics. 59:38-49
مصطلحات موضوعية: Cytoplasm, Similarity (geometry), media_common.quotation_subject, Health Informatics, Cervix Uteri, 02 engineering and technology, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, Humans, Contrast (vision), Radiology, Nuclear Medicine and imaging, Segmentation, Computer vision, Depth of field, Mathematics, media_common, Cell Nucleus, Radiological and Ultrasound Technology, business.industry, Computer Graphics and Computer-Aided Design, Outlier, Metric (mathematics), Female, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, business, Algorithms, 030217 neurology & neurosurgery, Smoothing, Papanicolaou Test, Volume (compression)
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ad2119a624b6069eff4497d2f7c8acdTest
https://doi.org/10.1016/j.compmedimag.2017.06.007Test -
6
المؤلفون: Simon Graham, Talha Qaiser, Eric Chang, Vassili Kovalev, Sangheum Hwang, Matheus P. Viana, Babak Ehteshami Bejnordi, Manan Shah, Martin Hedlund, Thomas Wollmann, Jesper Molin, Zhipeng Jia, Kyunghyun Paeng, Nikolas Stathonikos, Vitali Liauchuk, Nasir M. Rajpoot, Francisco Beca, Josien P. W. Pluim, Paul J. van Diest, Erwan Zerhouni, Mikael Rousson, Hady Ahmady Phoulady, David Tellez, Karl Rohr, Sunggyun Park, Andrew H. Beck, David Lanyi, Yan Xu, Dayong Wang, Francesco Ciompi, Mitko Veta, Erik Sjöblom, Yujing J. Heng
المساهمون: Medical Image Analysis
المصدر: Medical Image Analysis, 54, pp. 111-121
Medical Image Analysis, 54, 111-121
Medical Image Analysis, 54, 111. Elsevier
Medical Image Analysis, 54, 111-121. Elsevierمصطلحات موضوعية: FOS: Computer and information sciences, Oncology, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Gene Expression, SDG 3 – Goede gezondheid en welzijn, 030218 nuclear medicine & medical imaging, Task (project management), Tumours of the digestive tract Radboud Institute for Health Sciences [Radboudumc 14], 0302 clinical medicine, Breast cancer, Image Processing, Computer-Assisted, Pathology, Analysis method, Ground truth, Radiological and Ultrasound Technology, Kappa score, Prognosis, Computer Graphics and Computer-Aided Design, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], Radiology Nuclear Medicine and imaging, Biomarker (medicine), Female, Computer Vision and Pattern Recognition, medicine.medical_specialty, Mitosis, Breast Neoplasms, Health Informatics, Breast tumor, Tumor proliferation, 03 medical and health sciences, All institutes and research themes of the Radboud University Medical Center, SDG 3 - Good Health and Well-being, Predictive Value of Tests, Internal medicine, Journal Article, Biomarkers, Tumor, medicine, Humans, Radiology, Nuclear Medicine and imaging, Cell Proliferation, business.industry, Cancer prognostication, Deep learning, medicine.disease, Comparison study, business, 030217 neurology & neurosurgery, RC
وصف الملف: application/pdf; image/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67e04714f667159c203f3e514feeb56bTest
https://hdl.handle.net/2066/204043Test -
7
المؤلفون: Carina Mallard, Maryam Ardalan, Jacqueline C.Y. Lai, Amin Mottahedin, Xiaoyang Wang, Xiaoli Zhang, Hady Ahmady Phoulady, Aura Zelco
المصدر: Mottahedin, A, Zhang, X, Zelco, A, Ardalan, M, Lai, J C Y, Mallard, C, Wang, X & Ahmady Phoulady, H 2019, ' A novel image segmentation method for the evaluation of inflammation-induced cortical and hippocampal white matter injury in neonatal mice ', Journal of Chemical Neuroanatomy .
مصطلحات موضوعية: 0301 basic medicine, Inflammation, Hippocampal formation, Nerve Fibers, Myelinated, White matter, Mice, 03 medical and health sciences, Cellular and Molecular Neuroscience, Myelin, 0302 clinical medicine, Image Processing, Computer-Assisted, medicine, Neonatal brain, Animals, Periventricular leukomalacia, business.industry, White Matter Injury, Brain, Image segmentation, medicine.disease, Immunohistochemistry, White Matter, Mice, Inbred C57BL, 030104 developmental biology, medicine.anatomical_structure, Animals, Newborn, medicine.symptom, business, Neuroscience, Algorithms, 030217 neurology & neurosurgery
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d9bde1de010ffbafdb03d75f2f6cc50Test
https://pure.au.dk/portal/da/publications/a-novel-image-segmentation-method-for-the-evaluation-of-inflammationinduced-cortical-and-hippocampal-white-matter-injury-in-neonatal-miceTest(ae7fd553-0f87-4bf9-860b-da92bee18b9c).html -
8
المصدر: Journal of chemical neuroanatomy. 98
مصطلحات موضوعية: 0301 basic medicine, Computer science, Stereology, Cell Count, Neocortex, 03 medical and health sciences, Cellular and Molecular Neuroscience, Mice, 0302 clinical medicine, Deep Learning, medicine, Image Processing, Computer-Assisted, Animals, Segmentation, Neurons, Ground truth, biology, Artificial neural network, business.industry, Deep learning, Histological Techniques, Pattern recognition, Gold standard (test), 030104 developmental biology, medicine.anatomical_structure, nervous system, biology.protein, Artificial intelligence, Microglia, NeuN, business, 030217 neurology & neurosurgery
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a757a52a9b2e5e0395ce5eddd040b6baTest
https://pubmed.ncbi.nlm.nih.gov/30836126Test -
9
المؤلفون: Lawrence O. Hall, Dmitry B. Goldgof, Saeed S. Alahmari, Raj H. Patel, Hady Ahmady Phoulady, Peter R. Mouton
المصدر: Journal of chemical neuroanatomy. 96
مصطلحات موضوعية: 0301 basic medicine, business.industry, Computer science, Deep learning, Brain, Stereology, Pattern recognition, Cell Count, Convolutional neural network, 03 medical and health sciences, Cellular and Molecular Neuroscience, Mice, 030104 developmental biology, 0302 clinical medicine, Tissue sections, Deep Learning, Imaging, Three-Dimensional, Region of interest, Image Processing, Computer-Assisted, Animals, Segmentation, Artificial intelligence, business, Brain aging, 030217 neurology & neurosurgery
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b1a9654cd8962392fe6d9429ef0e986Test
https://pubmed.ncbi.nlm.nih.gov/30594529Test -
10
المؤلفون: Ugur Halici, Rishab Gargeya, Quincy Wong, Hady Ahmady Phoulady, David Tellez, Bram van Ginneken, Andrew H. Beck, Nico Karssemeijer, Jeroen van der Laak, Nassir Navab, Jonas Annuscheit, Leena Latonen, Kaisa Liimatainen, Talha Qaiser, Dayong Wang, Quirine F. Manson, Aoxiao Zhong, Shigeto Seno, Yee-Wah Tsang, Rui Venâncio, Ismael Serrano, Daniel Racoceanu, N. Stathonikos, Muhammad Shaban, Stefanie Demirci, M. Milagro Fernández-Carrobles, Babak Ehteshami Bejnordi, Matt Berseth, Mustafa Umit Oner, Geert Litjens, Kimmo Kartasalo, Hideo Matsuda, Maschenka Balkenhol, Huangjing Lin, Elia Bruni, Hao Chen, Seiryo Watanabe, A. Kalinovsky, Marcory C. R. F. van Dijk, Ami George, Nasir M. Rajpoot, Francisco Beca, Quanzheng Li, Meyke Hermsen, Mira Valkonen, Oscar Deniz, Alexei Vylegzhanin, Vitali Liauchuk, Ruqayya Awan, Mitko Veta, Korsuk Sirinukunwattana, Gloria Bueno, Peter Hufnagl, Christian Haß, Vassili Kovalev, Vitali Khvatkov, Rengul Cetin-Atalay, Humayun Irshad, Oren Kraus, Qi Dou, Pekka Ruusuvuori, Aditya Khosla, Bharti Mungal, Pheng-Ann Heng, Oscar Geessink, Paul J. van Diest, Shadi Albarqouni, Peter Bult, Yoichi Takenaka
المساهمون: Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Medical Image Analysis, Discrete Mathematics
المصدر: JAMA Cardiology
JAMA Cardiology, American Medical Association 2017, 318, ⟨10.1001/jama.2017.14585⟩
Jama : Journal of the American Medical Association, 318, 2199-2210
JAMA Neurology, 318(22), 2199-2210. American Medical Association (AMA)
Jama : Journal of the American Medical Association, 318, 22, pp. 2199-2210
JAMA-The Journal of The American Medical Association, 318(22), 2199. American Medical Associationمصطلحات موضوعية: 0301 basic medicine, Breast Neoplasms/pathology, SDG 3 – Goede gezondheid en welzijn, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Machine Learning, 0302 clinical medicine, Lymphatic Metastasis/diagnosis, Pathology, Medicine, Medical diagnosis, Hematoxylin, Lymph node, Medicine(all), Pathology, Clinical, General Medicine, Women's cancers Radboud Institute for Health Sciences [Radboudumc 17], medicine.anatomical_structure, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], 030220 oncology & carcinogenesis, Lymphatic Metastasis, Female, Algorithm, Algorithms, Rare cancers Radboud Institute for Health Sciences [Radboudumc 9], medicine.medical_specialty, Cancer Classification, Histopathology, Breast Neoplasms, RC0254, 03 medical and health sciences, Clinical, All institutes and research themes of the Radboud University Medical Center, Breast cancer, Text mining, SDG 3 - Good Health and Well-being, Journal Article, Humans, Comparative Study, Receiver operating characteristic, business.industry, Deep learning, Data Science, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], medicine.disease, Pathologists, 030104 developmental biology, ROC Curve, Test set, Artificial intelligence, RB, business
وصف الملف: application/pdf; image/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5e2e1ebc60e746d57a0deffa5ee651bTest
https://hal.archives-ouvertes.fr/hal-03140979/documentTest