نتائج البحث - "Department of Quantitative Biomedicine"

1

دورية أكاديمية

SRflow: Deep learning based super-resolution of 4D-flow MRI data

المؤلفون: Shit, Suprosanna, Zimmermann, Judith, Ezhov, Ivan, Paetzold, Johannes C, Sanches, Augusto F, Pirkl, Carolin, Menze, Bjoern H

المصدر: Shit, Suprosanna; Zimmermann, Judith; Ezhov, Ivan; Paetzold, Johannes C; Sanches, Augusto F; Pirkl, Carolin; Menze, Bjoern H (2022). SRflow: Deep learning based super-resolution of 4D-flow MRI data. Frontiers in Artificial Intelligence, 5:928181.

مصطلحات موضوعية: Department of Quantitative Biomedicine, 610 Medicine & health, Artificial Intelligence

وصف الملف: application/pdf

العلاقة: https://www.zora.uzh.ch/id/eprint/230817/1/ZORA_pdf.pdfTest; info:pmid/36034591; urn:issn:2624-8212

الإتاحة: https://doi.org/10.5167/uzh-23081710.3389/frai.2022.928181Test
https://www.zora.uzh.ch/id/eprint/230817Test/
https://www.zora.uzh.ch/id/eprint/230817/1/ZORA_pdf.pdfTest

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النص الكامل

2

دورية أكاديمية

Face Restoration via Plug-and-Play 3D Facial Priors

المؤلفون: Hu, Xiaobin, Ren, Wenqi, Yang, Jiaolong, Cao, Xiaochun, Wipf, David P, Menze, Bjoern, Tong, Xin, Zha, Hongbin

المصدر: Hu, Xiaobin; Ren, Wenqi; Yang, Jiaolong; Cao, Xiaochun; Wipf, David P; Menze, Bjoern; Tong, Xin; Zha, Hongbin (2022). Face Restoration via Plug-and-Play 3D Facial Priors. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(12):8910-8926.

مصطلحات موضوعية: Department of Quantitative Biomedicine, 610 Medicine & health, Applied Mathematics, Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Software

وصف الملف: application/pdf

العلاقة: https://www.zora.uzh.ch/id/eprint/214478/1/ZORA214478.pdfTest; urn:issn:0098-5589

الإتاحة: https://doi.org/10.5167/uzh-21447810.1109/tpami.2021.3123085Test
https://www.zora.uzh.ch/id/eprint/214478Test/
https://www.zora.uzh.ch/id/eprint/214478/1/ZORA214478.pdfTest

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3

Face Restoration via Plug-and-Play 3D Facial Priors

المؤلفون: Xin Tong, Xiaochun Cao, Xiaobin Hu, David Wipf, Jiaolong Yang, Wenqi Ren, Bjoern H. Menze, Hongbin Zha

المساهمون: University of Zurich

مصطلحات موضوعية: Deblurring, 1707 Computer Vision and Pattern Recognition, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 610 Medicine & health, 1702 Artificial Intelligence, Convolutional neural network, Rendering (computer graphics), 2604 Applied Mathematics, Artificial Intelligence, Prior probability, Image Processing, Computer-Assisted, Image restoration, Facial expression, business.industry, Applied Mathematics, Pattern recognition, Facial Expression, 1712 Software, Computational Theory and Mathematics, Face (geometry), Face, Identity (object-oriented programming), Artificial intelligence, Neural Networks, Computer, Computer Vision and Pattern Recognition, business, 11493 Department of Quantitative Biomedicine, Algorithms, Software, 1703 Computational Theory and Mathematics

وصف الملف: ZORA214478.pdf - application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::650f1d74889e3f34369fdde51163bc77Test
https://www.zora.uzh.ch/id/eprint/214478Test/

4

Predicting base editing outcomes with an attention-based deep learning algorithm trained on high-throughput target library screens

المؤلفون: Gerald Schwank, Ahmed A. Allam, Nina Frey, Sharan Janjuha, Michael Krauthammer, Kim Marquart, Anna Sintsova, Lukas Villiger

المساهمون: University of Zurich, Krauthammer, Michael, Schwank, Gerald

المصدر: Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Nature Communications
Nature Communications, 12 (1)

مصطلحات موضوعية: CRISPR-Cas9 genome editing, Computer science, Base pair, Science, 10050 Institute of Pharmacology and Toxicology, General Physics and Astronomy, 610 Medicine & health, 1600 General Chemistry, Genomics, Article, General Biochemistry, Genetics and Molecular Biology, Deep Learning, Genome editing, 1300 General Biochemistry, Genetics and Molecular Biology, Basic research, Machine learning, Humans, Data mining, Base Pairing, Throughput (business), Gene Library, Gene Editing, Genome, Multidisciplinary, business.industry, Deep learning, High-Throughput Nucleotide Sequencing, General Chemistry, Base (topology), 3100 General Physics and Astronomy, genomic DNA, 570 Life sciences, biology, Artificial intelligence, business, 11493 Department of Quantitative Biomedicine, Algorithm, Algorithms

وصف الملف: s41467-021-25375-z.pdf - application/pdf; 2020.07.05.186544.full.pdf - application/pdf; application/application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95aa804166a272f8f2463b99035f04b9Test
https://doaj.org/article/c9632ae8e3554eb0a6f6c3e3694e3ef8Test

5

Uncertainty-Aware and Lesion-Specific Image Synthesis in Multiple Sclerosis Magnetic Resonance Imaging: A Multicentric Validation Study

المؤلفون: Tom Finck, Hongwei Li, Sarah Schlaeger, Lioba Grundl, Nico Sollmann, Benjamin Bender, Eva Bürkle, Claus Zimmer, Jan Kirschke, Björn Menze, Mark Mühlau, Benedikt Wiestler

المساهمون: University of Zurich, Finck, Tom

مصطلحات موضوعية: Neuronales Netz, Multiple Sklerose, Artificial intelligence, synthetic MRI, General Neuroscience, Kernspintomografie, 2800 General Neuroscience, Deep learning, 610 Medicine & health, artificial intelligence (AI), ddc, Multiple sclerosis, deep learning – artificial neural network (DL-ANN), Magnetic resonance imaging, Neuroradiology, Image interpretation, Computer-assisted, Künstliche Intelligenz, ddc:610, double inversion recovery (DIR), Neuroscience, magnetic resonance imaging, neuroradiology, multiple sclerosis, deep learning - artificial neural network (DL-ANN), DDC 610 / Medicine & health, 11493 Department of Quantitative Biomedicine, Neural networks, Computer, Neuroradiologie

وصف الملف: ZORA_pdf.pdf - application/pdf; application/pdf; image/tiff; image/jpeg; application/octet-stream

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc0f743ff1bf78fb8313f099ee7db83cTest
https://www.zora.uzh.ch/id/eprint/230828Test/

6

Deep learning for medical image analysis: a brief introduction

المؤلفون: Bjoern H. Menze, Benedikt Wiestler

المساهمون: University of Zurich

المصدر: Neuro-oncology Advances

وصف الملف: 2020_Neuro-Oncology_Adv_Wiestler_Menze.pdf - application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02aeafc256e7a8498fbb005ba7cfb74cTest
http://europepmc.org/articles/PMC7829473Test

7

Improving Automated Glioma Segmentation in Routine Clinical Use Through Artificial Intelligence-Based Replacement of Missing Sequences With Synthetic Magnetic Resonance Imaging Scans

المؤلفون: Benedikt Wiestler, Hongwei Li, Marie Franziska Thomas, Tom Finck, Florian Kofler, Lioba Grundl, Björn H. Menze, Claus Zimmer

المساهمون: University of Zurich

وصف الملف: 2022_Improving.pdf - application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4aa9c597d45cdca32068bafdc0194e77Test

8

Analyzing Patient Trajectories With Artificial Intelligence

المؤلفون: Allam, Ahmed, Feuerriegel, Stefan, Rebhan, Michael, Krauthammer, Michael

المساهمون: University of Zurich, Feuerriegel, Stefan

المصدر: Journal of Medical Internet Research, 23 (12)
Journal of Medical Internet Research

مصطلحات موضوعية: longitudinal data, Viewpoint, digital medicine, machine learning, Humans, 610 Medicine & health, Health Informatics, artificial intelligence, 11493 Department of Quantitative Biomedicine, patient trajectories, 2718 Health Informatics

وصف الملف: ZORA_213111.pdf - application/pdf; application/application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::911508fa538cbfc1ae413e37b27b30bfTest
https://doi.org/10.5167/uzh-213111Test

9

Weakly supervised deep learning for determining the prognostic value of 18F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type

المؤلفون: Kuangyu Shi, Biao Li, Haoping Xu, Haoming Song, Xiaobin Hu, xiaozhu Lin, Pengpeng Xu, Axel Rominger, Bjoern H. Menze, Rui Guo

المساهمون: University of Zurich, Li, Biao

المصدر: Guo, Rui; Hu, Xiaobin; Song, Haoming; Xu, Pengpeng; Xu, Haoping; Rominger, Axel; Lin, Xiaozhu; Menze, Bjoern; Li, Biao; Shi, Kuangyu (2021). Weakly supervised deep learning for determining the prognostic value of 18F-FDG PET/CT in extranodal natural killer/T cell lymphoma, nasal type. European journal of nuclear medicine and molecular imaging, 48(10), pp. 3151-3161. Springer 10.1007/s00259-021-05232-3 <http://dx.doi.org/10.1007/s00259-021-05232-3Test>

وصف الملف: 2021_EuropJNucl.pdf - application/pdf; application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b42a4227a50658d2029db6c47ec56e9dTest
https://doi.org/10.5167/uzh-214513Test

10

Development and External Validation of Deep-Learning-Based Tumor Grading Models in Soft-Tissue Sarcoma Patients Using MR Imaging

المؤلفون: Navarro, Fernando, Dapper, Hendrik, Asadpour, Rebecca, Knebel, Carolin, Spraker, Matthew B, Schwarze, Vincent, Schaub, Stephanie K, Mayr, Nina A, Specht, Katja, Woodruff, Henry C, Lambin, Philippe, Gersing, Alexandra S, Nyflot, Matthew J, Menze, Bjoern H, Combs, Stephanie E, Peeken, Jan C

المساهمون: University of Zurich, Peeken, Jan C, RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy, Precision Medicine, Radiotherapie, Beeldvorming

المصدر: Cancers
Cancers, Vol 13, Iss 2866, p 2866 (2021)
Cancers, 13(12):2866. Multidisciplinary Digital Publishing Institute (MDPI)
Volume 13
Issue 12

وصف الملف: 2021_Cancers.pdf - application/pdf; application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d264e1976e4a19b615327981981225ebTest
http://europepmc.org/articles/PMC8227009Test

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